From d64f09bd1727d23a747201e548e7c4e0fcfac140 Mon Sep 17 00:00:00 2001 From: liyuan <84758614+nvliyuan@users.noreply.github.com> Date: Sun, 19 Feb 2023 14:59:20 +0800 Subject: [PATCH 1/4] v23.02 release links updates (#278) * update links version for preparation docs Signed-off-by: liyuan * update more links version Signed-off-by: liyuan * add databricks 11.3 generate scrips Signed-off-by: liyuan * update one broken link Signed-off-by: liyuan * update centos8 to rocky linux 8 Signed-off-by: liyuan --------- Signed-off-by: liyuan --- .../csp/databricks/databricks.md | 52 +++--- .../generate-init-script-10.4.ipynb | 4 +- .../generate-init-script-11.3.ipynb | 166 ++++++++++++++++++ .../csp/databricks/generate-init-script.ipynb | 4 +- .../on-prem-cluster/kubernetes-scala.md | 4 +- .../on-prem-cluster/standalone-python.md | 2 +- .../on-prem-cluster/standalone-scala.md | 2 +- .../on-prem-cluster/yarn-python.md | 2 +- .../on-prem-cluster/yarn-scala.md | 2 +- .../preparation-python.md | 2 +- .../prepare-package-data/preparation-scala.md | 2 +- docs/img/databricks/sparkconfig.png | Bin 84020 -> 34869 bytes .../ML+DL-Examples/Spark-cuML/pca/Dockerfile | 2 +- .../ML+DL-Examples/Spark-cuML/pca/README.md | 2 +- .../RAPIDS-accelerated-UDFs/README.md | 2 +- .../Spark-cuSpatial/Dockerfile.awsdb | 2 +- .../UDF-Examples/Spark-cuSpatial/README.md | 6 +- .../src/main/native/CMakeLists.txt | 2 +- .../notebooks/python/agaricus-gpu.ipynb | 2 +- .../notebooks/python/MortgageETL.ipynb | 4 +- .../notebooks/python/mortgage-gpu.ipynb | 2 +- .../notebooks/scala/mortgage-ETL.ipynb | 2 +- .../taxi/notebooks/python/cv-taxi-gpu.ipynb | 2 +- .../taxi/notebooks/python/taxi-ETL.ipynb | 2 +- .../taxi/notebooks/python/taxi-gpu.ipynb | 2 +- .../taxi/notebooks/scala/taxi-ETL.ipynb | 2 +- ...rk] Profiling Tool Notebook Template.ipynb | 2 +- ...Qualification Tool Notebook Template.ipynb | 2 +- 28 files changed, 229 insertions(+), 51 deletions(-) create mode 100644 docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb diff --git a/docs/get-started/xgboost-examples/csp/databricks/databricks.md b/docs/get-started/xgboost-examples/csp/databricks/databricks.md index 61891bf45..6350c6f04 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/databricks.md +++ b/docs/get-started/xgboost-examples/csp/databricks/databricks.md @@ -6,27 +6,26 @@ This is a getting started guide to XGBoost4J-Spark on Databricks. At the end of Prerequisites ------------- - * Apache Spark 3.1+ running in Databricks Runtime 9.1 ML or 10.4 ML with GPU - * AWS: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2) or 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) - * Azure: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2) or 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) + * Apache Spark 3.x running in Databricks Runtime 9.1 ML, 10.4 ML or 11.3 ML with GPU + * AWS: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2), 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) + * Azure: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2) or 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) The number of GPUs per node dictates the number of Spark executors that can run in that node. Each executor should only be allowed to run 1 task at any given time. Start A Databricks Cluster -------------------------- -Create a Databricks cluster by clicking "+ Create -> Cluster" on the left panel. Ensure the +Create a Databricks cluster by going to "Compute", then clicking `+ Create compute`. Ensure the cluster meets the prerequisites above by configuring it as follows: 1. Select the Databricks Runtime Version from one of the supported runtimes specified in the Prerequisites section. -2. Under Autopilot Options, disable autoscaling. -3. Choose the number of workers you want to use. -4. Select a worker type. On AWS, use nodes with 1 GPU each such as `p3.2xlarge` or `g4dn.xlarge`. +2. Choose the number of workers that matches the number of GPUs you want to use. +3. Select a worker type. On AWS, use nodes with 1 GPU each such as `p3.2xlarge` or `g4dn.xlarge`. p2 nodes do not meet the architecture requirements (Pascal or higher) for the Spark worker (although they can be used for the driver node). For Azure, choose GPU nodes such as - Standard_NC6s_v3. -5. Select the driver type. Generally this can be set to be the same as the worker. -6. Start the cluster. + Standard_NC6s_v3. For GCP, choose N1 or A2 instance types with GPUs. +4. Select the driver type. Generally this can be set to be the same as the worker. +5. Start the cluster. Advanced Cluster Configuration -------------------------- @@ -53,6 +52,12 @@ cluster. [generate-init-script-10.4.ipynb](generate-init-script-10.4.ipynb) which will install the RAPIDS Spark plugin. + - [Databricks 11.3 LTS + ML](https://docs.databricks.com/release-notes/runtime/11.3ml.html#system-environment) has CUDA 11 + installed. Users will need to use 23.02.0 or later on Databricks 11.3 LTS ML. In this case use + [generate-init-script-11.3.ipynb](generate-init-script-11.3.ipynb) which will install + the RAPIDS Spark plugin. + 2. Once you are in the notebook, click the “Run All” button. 3. Ensure that the newly created init.sh script is present in the output from cell 2 and that the contents of the script are correct. @@ -82,13 +87,11 @@ cluster. the Databricks `spark.databricks.delta.optimizeWrite` option. ```bash - spark.plugins com.nvidia.spark.SQLPlugin - spark.task.resource.gpu.amount 0.1 - spark.rapids.memory.pinnedPool.size 2G - spark.locality.wait 0s - spark.databricks.delta.optimizeWrite.enabled false - spark.sql.adaptive.enabled false - spark.rapids.sql.concurrentGpuTasks 2 + spark.plugins com.nvidia.spark.SQLPlugin + spark.task.resource.gpu.amount 0.1 + spark.rapids.memory.pinnedPool.size 2G + spark.rapids.sql.concurrentGpuTasks 2 + spark.databricks.optimizer.dynamicFilePruning false ``` ![Spark Config](../../../../img/databricks/sparkconfig.png) @@ -186,6 +189,15 @@ Limitations 4. Databricks makes changes to the runtime without notification. Databricks makes changes to existing runtimes, applying patches, without notification. - [Issue-3098](https://github.com/NVIDIA/spark-rapids/issues/3098) is one example of this. We run - regular integration tests on the Databricks environment to catch these issues and fix them once - detected. \ No newline at end of file + [Issue-3098](https://github.com/NVIDIA/spark-rapids/issues/3098) is one example of this. We run + regular integration tests on the Databricks environment to catch these issues and fix them once + detected. + +5. In Databricks 11.3, an incorrect result is returned for window frames defined by a range in case + of DecimalTypes with precision greater than 38. There is a bug filed in Apache Spark for it + [here](https://issues.apache.org/jira/browse/SPARK-41793), whereas when using the plugin the + correct result will be returned. + +6. A query may fail when Dynamic File Pruning is enabled. As a workaround, please + disable the feature by setting `spark.databricks.optimizer.dynamicFilePruning false`. More details + are in [issue-7648](https://github.com/NVIDIA/spark-rapids/issues/7648). \ No newline at end of file diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb index e3309ebda..cd12c02cd 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb @@ -24,7 +24,7 @@ "source": [ "%sh\n", "cd ../../dbfs/FileStore/jars/\n", - "sudo wget -O rapids-4-spark_2.12-22.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar\n", + "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", "sudo wget -O xgboost4j-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.1/xgboost4j-gpu_2.12-1.7.1.jar\n", "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.1/xgboost4j-spark-gpu_2.12-1.7.1.jar\n", "ls -ltr\n", @@ -60,7 +60,7 @@ "sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.5.2.jar\n", "\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n", - "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.12.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)" ] }, diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb new file mode 100644 index 000000000..58c724955 --- /dev/null +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb @@ -0,0 +1,166 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Download latest Jars" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dbutils.fs.mkdirs(\"dbfs:/FileStore/jars/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%sh\n", + "cd ../../dbfs/FileStore/jars/\n", + "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", + "sudo wget -O xgboost4j-gpu_2.12-1.7.3.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.3/xgboost4j-gpu_2.12-1.7.3.jar\n", + "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.3.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.3/xgboost4j-spark-gpu_2.12-1.7.3.jar\n", + "ls -ltr\n", + "\n", + "# Your Jars are downloaded in dbfs:/FileStore/jars directory" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create a Directory for your init script" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "dbutils.fs.mkdirs(\"dbfs:/databricks/init_scripts/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "dbutils.fs.put(\"/databricks/init_scripts/init.sh\",\"\"\"\n", + "#!/bin/bash\n", + "sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-gpu_2.12--ml.dmlc__xgboost4j-gpu_2.12__1.5.2.jar\n", + "sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.5.2.jar\n", + "\n", + "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.3.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.3.jar /databricks/jars/\"\"\", True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Confirm your init script is in the new directory" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "%sh\n", + "cd ../../dbfs/databricks/init_scripts\n", + "pwd\n", + "ls -ltr" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Download the Mortgage Dataset into your local machine and upload Data using import Data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "dbutils.fs.mkdirs(\"dbfs:/FileStore/tables/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "%sh\n", + "cd /dbfs/FileStore/tables/\n", + "wget -O mortgage.zip https://rapidsai-data.s3.us-east-2.amazonaws.com/spark/mortgage.zip\n", + "ls\n", + "unzip mortgage.zip" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "%sh\n", + "pwd\n", + "cd ../../dbfs/FileStore/tables\n", + "ls -ltr mortgage/csv/*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Next steps\n", + "\n", + "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n", + "2. Reboot the cluster\n", + "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.3.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n", + "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", + "5. Inside the mortgage example notebook, update the data paths\n", + " `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n", + " `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.2" + }, + "name": "Init Scripts_demo", + "notebookId": 2585487876834616 + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb index 320792c77..2cdb4e7d1 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb @@ -24,7 +24,7 @@ "source": [ "%sh\n", "cd ../../dbfs/FileStore/jars/\n", - "sudo wget -O rapids-4-spark_2.12-22.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar\n", + "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", "sudo wget -O xgboost4j-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.1/xgboost4j-gpu_2.12-1.7.1.jar\n", "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.1/xgboost4j-spark-gpu_2.12-1.7.1.jar\n", "ls -ltr\n", @@ -60,7 +60,7 @@ "sudo rm -f /databricks/jars/spark--maven-trees--ml--9.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.4.1.jar\n", "\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n", - "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.12.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)" ] }, diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md b/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md index ed7394d9b..0014e084a 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md @@ -11,11 +11,11 @@ Prerequisites * NVIDIA Pascal™ GPU architecture or better * Multi-node clusters with homogenous GPU configuration * Software Requirements - * Ubuntu 18.04, 20.04/CentOS7, CentOS8 + * Ubuntu 18.04, 20.04/CentOS7, Rocky Linux 8 * CUDA 11.0+ * NVIDIA driver compatible with your CUDA * NCCL 2.7.8+ -* [Kubernetes 1.6+ cluster with NVIDIA GPUs](https://docs.nvidia.com/datacenter/kubernetes/index.html) +* [Kubernetes cluster with NVIDIA GPUs](https://docs.nvidia.com/datacenter/cloud-native/kubernetes/install-k8s.html) * See official [Spark on Kubernetes](https://spark.apache.org/docs/latest/running-on-kubernetes.html#prerequisites) instructions for detailed spark-specific cluster requirements * kubectl installed and configured in the job submission environment diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/standalone-python.md b/docs/get-started/xgboost-examples/on-prem-cluster/standalone-python.md index 5e24f3983..597669665 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/standalone-python.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/standalone-python.md @@ -11,7 +11,7 @@ Prerequisites * NVIDIA Pascal™ GPU architecture or better * Multi-node clusters with homogenous GPU configuration * Software Requirements - * Ubuntu 18.04, 20.04/CentOS7, CentOS8 + * Ubuntu 18.04, 20.04/CentOS7, Rocky Linux 8 * CUDA 11.5+ * NVIDIA driver compatible with your CUDA * NCCL 2.7.8+ diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md b/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md index bbb688bef..c94df4085 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md @@ -12,7 +12,7 @@ Prerequisites * NVIDIA Pascal™ GPU architecture or better * Multi-node clusters with homogenous GPU configuration * Software Requirements - * Ubuntu 18.04, 20.04/CentOS7, CentOS8 + * Ubuntu 18.04, 20.04/CentOS7, Rocky Linux 8 * CUDA 11.0+ * NVIDIA driver compatible with your CUDA * NCCL 2.7.8+ diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/yarn-python.md b/docs/get-started/xgboost-examples/on-prem-cluster/yarn-python.md index 3565d6267..288b354a1 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/yarn-python.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/yarn-python.md @@ -11,7 +11,7 @@ Prerequisites * NVIDIA Pascal™ GPU architecture or better * Multi-node clusters with homogenous GPU configuration * Software Requirements - * Ubuntu 18.04, 20.04/CentOS7, CentOS8 + * Ubuntu 18.04, 20.04/CentOS7, Rocky Linux 8 * CUDA 11.5+ * NVIDIA driver compatible with your CUDA * NCCL 2.7.8+ diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/yarn-scala.md b/docs/get-started/xgboost-examples/on-prem-cluster/yarn-scala.md index 244a1ebf2..97c60d562 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/yarn-scala.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/yarn-scala.md @@ -12,7 +12,7 @@ Prerequisites * NVIDIA Pascal™ GPU architecture or better * Multi-node clusters with homogenous GPU configuration * Software Requirements - * Ubuntu 18.04, 20.04/CentOS7, CentOS8 + * Ubuntu 18.04, 20.04/CentOS7, Rocky Linux 8 * CUDA 11.0+ * NVIDIA driver compatible with your CUDA * NCCL 2.7.8+ diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md index 2a43add8d..716b1fce3 100644 --- a/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md +++ b/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md @@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag ### Download the jars Download the RAPIDS Accelerator for Apache Spark plugin jar - * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar) + * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) ### Build XGBoost Python Examples diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md index 2303fdfe0..c276c7e33 100644 --- a/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md +++ b/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md @@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag ### Download the jars 1. 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If you build the `spark-cuspatial-.jar` in docker, please copy the jar from docker to local: diff --git a/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt b/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt index 506b1697a..4cf897378 100755 --- a/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt +++ b/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt @@ -16,7 +16,7 @@ cmake_minimum_required(VERSION 3.20.1 FATAL_ERROR) -project(SPATIALUDJNI VERSION 22.12.0 LANGUAGES C CXX CUDA) +project(SPATIALUDJNI VERSION 23.02.0 LANGUAGES C CXX CUDA) ################################################################################################### # - build type ------------------------------------------------------------------------------------ diff --git a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb index d41cc0b81..1bea9e864 100644 --- a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb +++ b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb @@ -73,7 +73,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 06:57:40,550 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\n", + "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", "2022-11-30 06:57:54,210 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb index bb1249d61..a10c0d218 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb @@ -9,7 +9,7 @@ "Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)\n", + "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", "\n", "\n", "### 3. Start Spark Standalone\n", @@ -17,7 +17,7 @@ "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-22.12.0.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", "$ export PYSPARK_DRIVER_PYTHON=jupyter \n", "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n", "```\n", diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb index a5e9e174f..ca4abba88 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb @@ -84,7 +84,7 @@ "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMaster\n", "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMasterHeartbeat\n", "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering OutputCommitCoordinator\n", - "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\n", + "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n" diff --git a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb index d1b8e5f7e..991d41e6f 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb @@ -20,7 +20,7 @@ "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)\n", + "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before Running the script, please setup Spark standalone mode\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb index a2d5b7c60..a4fa3e02d 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb @@ -62,7 +62,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 08:02:10,103 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\n", + "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", "2022-11-30 08:02:23,752 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 08:02:23,756 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 08:02:23,757 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb index ab334a6bf..e10fb4cbb 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb @@ -19,7 +19,7 @@ "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)\n", + "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before running the script, please setup Spark standalone mode\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb index 5cb8c5c0e..5da98b8c5 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb @@ -73,7 +73,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 07:51:19,480 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\n", + "2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", "2022-11-30 07:51:33,292 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb index d8395e439..bcdcb89f8 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb @@ -19,7 +19,7 @@ "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n", "\n", "### 2. Download needed jar\n", - "* [rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)\n", + "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before running the script, please setup Spark standalone mode\n", diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb index 9113f27fd..3be966cce 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","source":["# Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark GPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the profiling tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-profiling-tool.html#profiling-tool-options.\n\n## GPU Job Tuning Recommendations\nThis has general suggestions for tuning your applications to run optimally on GPUs.\n\n## Per-Job Profile\nThe profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"5156a76c-7af7-465d-aff4-41a2e54e3595","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.12.0/rapids-4-spark-tools_2.12-22.12.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n\n# Profiling tool output directory.\nOUTPUT_DIR = '/tmp' \n\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[59]: 2011685
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[59]: 2011685
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\") \n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"f0e4371a-d2d9-4449-81ed-8f6c61ae8f80","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["worker_info_path = \"/tmp/worker_info.yaml\"\n\nworker_info = \"\"\"\n system:\n numCores: 32\n memory: 212992MiB\n numWorkers: 5\n gpu:\n memory: 15109MiB\n count: 4\n name: T4\n softwareProperties:\n spark.driver.maxResultSize: 7680m\n spark.driver.memory: 15360m\n spark.executor.cores: '8'\n spark.executor.instances: '2'\n spark.executor.memory: 47222m\n spark.executorEnv.OPENBLAS_NUM_THREADS: '1'\n spark.scheduler.mode: FAIR\n spark.sql.cbo.enabled: 'true'\n spark.ui.port: '0'\n spark.yarn.am.memory: 640m\n\"\"\"\n\nwith open(worker_info_path, 'w') as f:\n f.write(worker_info)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6c35e478-abe6-49b7-97f9-a8aba71f11d3","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.profiling.ProfileMain --csv --worker-info $worker_info_path --auto-tuner -o $outputpath_string $eventlog_string &> /tmp/prof_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"e9e7cecf-c2dc-4a0f-aea1-61a323e4ccc4","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["import os\n\napp_df = pd.DataFrame(columns = ['appId', 'appName'])\n\nfor x in os.scandir(outputpath_string + \"/rapids_4_spark_profile/\"):\n tmp_df = pd.read_csv(x.path + \"/application_information.csv\")\n app_df = app_df.append(tmp_df[['appId', 'appName']])"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"be0a2da7-1ee3-475e-96f9-303779edfd85","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## GPU Job Tuning Recommendations"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"a1e326ec-5701-4b08-ae0f-7df0c8440038","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["app_list = app_df[\"appId\"].tolist()\napp_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n\nfor app in app_list:\n app_file = open(outputpath_string + \"/rapids_4_spark_profile/\" + app + \"/profile.log\")\n recommendations_start = 0\n recommendations_str = \"\"\n for line in app_file:\n if recommendations_start == 1:\n recommendations_str = recommendations_str + line\n if \"### D. Recommended Configuration ###\" in line:\n recommendations_start = 1\n app_recommendations = app_recommendations.append({'app': app, 'recommendations': recommendations_str}, ignore_index=True)\n \ndisplay(app_recommendations)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4979f78c-44a0-4e54-b803-e5e194b71104","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["app-20220210005817-0212","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004538-0189","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000414-0117","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005713-0210","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000744-0123","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002521-0154","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004801-0193","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002620-0156","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001501-0135","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001417-0134","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001930-0143","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005502-0206","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002316-0150","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004324-0185","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005039-0198","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004834-0194","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004011-0180","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004656-0191","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001324-0133","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000856-0125","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000241-0114","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002105-0146","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000312-0115","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003325-0169","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002654-0157","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005425-0205","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000700-0122","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001109-0129","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002138-0147","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001717-0139","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000018-0110","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002725-0158","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000933-0126","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004617-0190","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005846-0213","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002757-0159","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001038-0128","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000628-0121","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001959-0144","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000556-0120","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004727-0192","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005222-0201","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000825-0124","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005536-0207","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001139-0130","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000343-0116","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003705-0176","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003359-0170","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005611-0208","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000119-0112","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005322-0203","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003900-0179","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004355-0186","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001648-0138","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002938-0162","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005354-0204","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001821-0141","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005252-0202","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002452-0153","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001617-0137","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003254-0168","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004507-0188","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001751-0140","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005642-0209","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004905-0195","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003751-0177","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002030-0145","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001854-0142","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002549-0155","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001239-0132","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004428-0187","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002240-0149","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005147-0200","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220523230623-0000","\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n"],["app-20220210000207-0113","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220209235945-0109","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002349-0151","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002421-0152","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000448-0118","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001005-0127","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003149-0166","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003635-0175","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003223-0167","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004041-0181","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003532-0173","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003607-0174","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003048-0164","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004145-0183","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003825-0178","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003118-0165","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000049-0111","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000519-0119","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003015-0163","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005744-0211","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005111-0199","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004217-0184","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002904-0161","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001546-0136","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003503-0172","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001209-0131","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004114-0182","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002208-0148","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002833-0160","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003431-0171","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"app","type":"\"string\"","metadata":"{}"},{"name":"recommendations","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
apprecommendations
app-20220210005817-0212\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004538-0189\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000414-0117\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005713-0210\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000744-0123\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002521-0154\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004801-0193\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002620-0156\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001501-0135\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001417-0134\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001930-0143\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005502-0206\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002316-0150\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004324-0185\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005039-0198\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004834-0194\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004011-0180\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004656-0191\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001324-0133\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000856-0125\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000241-0114\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002105-0146\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000312-0115\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003325-0169\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002654-0157\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005425-0205\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000700-0122\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001109-0129\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002138-0147\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001717-0139\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000018-0110\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002725-0158\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000933-0126\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004617-0190\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005846-0213\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002757-0159\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001038-0128\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000628-0121\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001959-0144\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000556-0120\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004727-0192\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005222-0201\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000825-0124\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005536-0207\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001139-0130\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000343-0116\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003705-0176\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003359-0170\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005611-0208\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000119-0112\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005322-0203\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003900-0179\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004355-0186\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001648-0138\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002938-0162\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005354-0204\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001821-0141\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005252-0202\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002452-0153\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001617-0137\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003254-0168\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004507-0188\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001751-0140\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005642-0209\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004905-0195\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003751-0177\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002030-0145\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001854-0142\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002549-0155\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001239-0132\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004428-0187\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002240-0149\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005147-0200\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220523230623-0000\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n
app-20220210000207-0113\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220209235945-0109\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002349-0151\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002421-0152\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000448-0118\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001005-0127\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003149-0166\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003635-0175\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003223-0167\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004041-0181\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003532-0173\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003607-0174\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003048-0164\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004145-0183\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003825-0178\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003118-0165\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000049-0111\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000519-0119\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003015-0163\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005744-0211\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005111-0199\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004217-0184\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002904-0161\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001546-0136\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003503-0172\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001209-0131\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004114-0182\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002208-0148\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002833-0160\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003431-0171\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template","dashboards":[{"elements":[{"elementNUID":"be0a2da7-1ee3-475e-96f9-303779edfd85","dashboardResultIndex":0,"guid":"05eef9d3-7c55-4e26-8d1f-fa80338359e6","resultIndex":null,"options":null,"position":{"x":0,"y":0,"height":6,"width":24,"z":null},"elementType":"command"}],"guid":"a9ea7799-040a-484e-a59d-c3cdf5072953","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2690941040041430,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"0896a45f-af1b-4849-b6c2-2b6abcb8b97b","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2690941040041431,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":562,"breakBefore":false},{"name":"output_path","width":511,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"c7ce3870-db19-4813-b1cb-cead3f4c36f1","currentValue":"/dbfs/user1/profiler_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"a7d1d293-d8c3-452b-9ffb-786ea7a28843","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2690941040041407}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","source":["# Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark GPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the profiling tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-profiling-tool.html#profiling-tool-options.\n\n## GPU Job Tuning Recommendations\nThis has general suggestions for tuning your applications to run optimally on GPUs.\n\n## Per-Job Profile\nThe profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"5156a76c-7af7-465d-aff4-41a2e54e3595","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.02.0/rapids-4-spark-tools_2.12-23.02.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n\n# Profiling tool output directory.\nOUTPUT_DIR = '/tmp' \n\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[59]: 2011685
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[59]: 2011685
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\") \n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"f0e4371a-d2d9-4449-81ed-8f6c61ae8f80","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["worker_info_path = \"/tmp/worker_info.yaml\"\n\nworker_info = \"\"\"\n system:\n numCores: 32\n memory: 212992MiB\n numWorkers: 5\n gpu:\n memory: 15109MiB\n count: 4\n name: T4\n softwareProperties:\n spark.driver.maxResultSize: 7680m\n spark.driver.memory: 15360m\n spark.executor.cores: '8'\n spark.executor.instances: '2'\n spark.executor.memory: 47222m\n spark.executorEnv.OPENBLAS_NUM_THREADS: '1'\n spark.scheduler.mode: FAIR\n spark.sql.cbo.enabled: 'true'\n spark.ui.port: '0'\n spark.yarn.am.memory: 640m\n\"\"\"\n\nwith open(worker_info_path, 'w') as f:\n f.write(worker_info)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6c35e478-abe6-49b7-97f9-a8aba71f11d3","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.profiling.ProfileMain --csv --worker-info $worker_info_path --auto-tuner -o $outputpath_string $eventlog_string &> /tmp/prof_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"e9e7cecf-c2dc-4a0f-aea1-61a323e4ccc4","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["import os\n\napp_df = pd.DataFrame(columns = ['appId', 'appName'])\n\nfor x in os.scandir(outputpath_string + \"/rapids_4_spark_profile/\"):\n tmp_df = pd.read_csv(x.path + \"/application_information.csv\")\n app_df = app_df.append(tmp_df[['appId', 'appName']])"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"be0a2da7-1ee3-475e-96f9-303779edfd85","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## GPU Job Tuning Recommendations"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"a1e326ec-5701-4b08-ae0f-7df0c8440038","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["app_list = app_df[\"appId\"].tolist()\napp_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n\nfor app in app_list:\n app_file = open(outputpath_string + \"/rapids_4_spark_profile/\" + app + \"/profile.log\")\n recommendations_start = 0\n recommendations_str = \"\"\n for line in app_file:\n if recommendations_start == 1:\n recommendations_str = recommendations_str + line\n if \"### D. Recommended Configuration ###\" in line:\n recommendations_start = 1\n app_recommendations = app_recommendations.append({'app': app, 'recommendations': recommendations_str}, ignore_index=True)\n \ndisplay(app_recommendations)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4979f78c-44a0-4e54-b803-e5e194b71104","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["app-20220210005817-0212","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004538-0189","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000414-0117","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005713-0210","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000744-0123","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002521-0154","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004801-0193","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002620-0156","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001501-0135","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001417-0134","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001930-0143","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005502-0206","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002316-0150","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004324-0185","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005039-0198","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004834-0194","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004011-0180","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004656-0191","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001324-0133","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000856-0125","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000241-0114","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002105-0146","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000312-0115","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003325-0169","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002654-0157","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005425-0205","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000700-0122","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001109-0129","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002138-0147","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001717-0139","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000018-0110","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002725-0158","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000933-0126","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004617-0190","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005846-0213","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002757-0159","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001038-0128","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000628-0121","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001959-0144","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000556-0120","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004727-0192","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005222-0201","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000825-0124","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005536-0207","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001139-0130","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000343-0116","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003705-0176","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003359-0170","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005611-0208","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000119-0112","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005322-0203","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003900-0179","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004355-0186","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001648-0138","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002938-0162","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005354-0204","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001821-0141","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005252-0202","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002452-0153","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001617-0137","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003254-0168","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004507-0188","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001751-0140","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005642-0209","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004905-0195","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003751-0177","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002030-0145","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001854-0142","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002549-0155","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001239-0132","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004428-0187","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002240-0149","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005147-0200","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220523230623-0000","\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n"],["app-20220210000207-0113","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220209235945-0109","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002349-0151","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002421-0152","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000448-0118","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001005-0127","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003149-0166","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003635-0175","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003223-0167","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004041-0181","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003532-0173","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003607-0174","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003048-0164","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004145-0183","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003825-0178","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003118-0165","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000049-0111","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000519-0119","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003015-0163","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005744-0211","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005111-0199","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004217-0184","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002904-0161","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001546-0136","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003503-0172","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001209-0131","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004114-0182","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002208-0148","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002833-0160","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003431-0171","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"app","type":"\"string\"","metadata":"{}"},{"name":"recommendations","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
apprecommendations
app-20220210005817-0212\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004538-0189\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000414-0117\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005713-0210\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000744-0123\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002521-0154\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004801-0193\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002620-0156\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001501-0135\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001417-0134\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001930-0143\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005502-0206\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002316-0150\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004324-0185\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005039-0198\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004834-0194\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004011-0180\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004656-0191\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001324-0133\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000856-0125\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000241-0114\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002105-0146\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000312-0115\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003325-0169\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002654-0157\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005425-0205\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000700-0122\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001109-0129\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002138-0147\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001717-0139\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000018-0110\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002725-0158\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000933-0126\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004617-0190\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005846-0213\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002757-0159\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001038-0128\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000628-0121\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001959-0144\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000556-0120\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004727-0192\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005222-0201\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000825-0124\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005536-0207\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001139-0130\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000343-0116\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003705-0176\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003359-0170\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005611-0208\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000119-0112\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005322-0203\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003900-0179\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004355-0186\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001648-0138\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002938-0162\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005354-0204\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001821-0141\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005252-0202\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002452-0153\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001617-0137\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003254-0168\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004507-0188\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001751-0140\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005642-0209\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004905-0195\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003751-0177\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002030-0145\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001854-0142\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002549-0155\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001239-0132\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004428-0187\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002240-0149\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005147-0200\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220523230623-0000\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n
app-20220210000207-0113\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220209235945-0109\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002349-0151\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002421-0152\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000448-0118\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001005-0127\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003149-0166\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003635-0175\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003223-0167\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004041-0181\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003532-0173\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003607-0174\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003048-0164\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004145-0183\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003825-0178\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003118-0165\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000049-0111\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000519-0119\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003015-0163\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005744-0211\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005111-0199\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004217-0184\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002904-0161\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001546-0136\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003503-0172\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001209-0131\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004114-0182\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002208-0148\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002833-0160\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003431-0171\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template","dashboards":[{"elements":[{"elementNUID":"be0a2da7-1ee3-475e-96f9-303779edfd85","dashboardResultIndex":0,"guid":"05eef9d3-7c55-4e26-8d1f-fa80338359e6","resultIndex":null,"options":null,"position":{"x":0,"y":0,"height":6,"width":24,"z":null},"elementType":"command"}],"guid":"a9ea7799-040a-484e-a59d-c3cdf5072953","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2690941040041430,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"0896a45f-af1b-4849-b6c2-2b6abcb8b97b","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2690941040041431,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":562,"breakBefore":false},{"name":"output_path","width":511,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"c7ce3870-db19-4813-b1cb-cead3f4c36f1","currentValue":"/dbfs/user1/profiler_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"a7d1d293-d8c3-452b-9ffb-786ea7a28843","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2690941040041407}},"nbformat":4,"nbformat_minor":0} diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb index 95d50747d..670ff332b 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","source":["# Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark CPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the qualification tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-qualification-tool.html#qualification-tool-options.\n\n## Summary Output\nThe report represents the entire app execution, including unsupported operators and non-SQL operations. By default, the applications and queries are sorted in descending order by the following fields:\n- Recommendation;\n- Estimated GPU Speed-up;\n- Estimated GPU Time Saved; and\n- End Time.\n\n## Stages Output\nFor each stage used in SQL operations, the Qualification tool generates the following information:\n1. App ID\n1. Stage ID\n1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n\n## Execs Output\nThe Qualification tool generates a report of the “Exec” in the “SparkPlan” or “Executor Nodes” along with the estimated acceleration on the GPU. Please refer to the Supported Operators guide for more details on limitations on UDFs and unsupported operators.\n1. App ID\n1. SQL ID\n1. Exec Name: example Filter, HashAggregate\n1. Expression Name\n1. Task Speedup Factor: it is simply the average acceleration of the operators based on the original CPU duration of the operator divided by the GPU duration. The tool uses historical queries and benchmarks to estimate a speed-up at an individual operator level to calculate how much a specific operator would accelerate on GPU.\n1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n1. SQL Node Id\n1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n1. Exec Stages: an array of stage IDs\n1. Exec Children\n1. Exec Children Node Ids\n1. Exec Should Remove: whether the Op is removed from the migrated plan."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"df33c614-2ecc-47a0-8600-bc891681997f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\n# Download Spark RAPIDS tool jar\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.12.0/rapids-4-spark-tools_2.12-22.12.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)\n\n# Download S3 jars\nHADOOP_AWS_URL = 'https://repo.maven.apache.org/maven2/org/apache/hadoop/hadoop-aws/2.7.4/hadoop-aws-2.7.4.jar'\nHADOOP_AWS_LOCAL_PATH = '/tmp/hadoop-aws-2.7.4.jar'\nresponse = requests.get(HADOOP_AWS_URL)\nopen(HADOOP_AWS_LOCAL_PATH, \"wb\").write(response.content)\n\nAWS_JAVA_URL = 'https://repo.maven.apache.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar'\nAWS_JAVA_LOCAL_PATH = '/tmp/aws-java-sdk-1.7.4.jar'\nresponse = requests.get(AWS_JAVA_URL)\nopen(AWS_JAVA_LOCAL_PATH, \"wb\").write(response.content)\n\n"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[38]: 11948376
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[38]: 11948376
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\")\n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"acf401a3-12d3-4236-a6c5-8fe8990b153a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/tmp/hadoop-aws-2.7.4.jar:/tmp/aws-java-sdk-1.7.4.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.qualification.QualificationMain -o $outputpath_string $eventlog_string &> /tmp/qual_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"65c4e778-5505-4334-ab89-424334803253","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Summary Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["summary_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output.csv\")\ndisplay(summary_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"fb8edb26-e173-47ff-92a1-463baec7c06b","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["TPC-DS Like Bench q14b","app-20220209225233-0018","Strongly Recommended",2.7,48971.53,83400.46,112708,27066964,132372,109793,65.66,null,null,null,null,null,null,112701,2939275,700037,26366927,4.16,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q14a","app-20220209225013-0017","Strongly Recommended",2.66,51728.96,86381.03,117178,28746000,138110,112636,64.69,null,null,null,null,null,null,117172,2978987,1114076,27631924,4.29,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q4","app-20220209224316-0007","Strongly Recommended",2.66,41856.03,69720.96,90167,85324700,111577,90167,65.09,null,null,null,null,null,null,90163,3086516,0,85324700,4.41,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q24b","app-20220209230348-0030","Recommended",2.34,32581.07,43720.92,56748,27574691,76302,56694,60.89,null,null,null,null,null,null,56741,2950634,25998,27548693,4.37,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q67","app-20220209232913-0074","Recommended",2.27,144720.72,184416.27,308185,15437192,329137,265300,73.64,null,null,null,null,null,null,308174,3028469,2148108,13289084,3.28,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q24a","app-20220209230232-0029","Recommended",2.25,33029.22,41483.77,53469,27911960,74513,53202,60.14,null,null,null,null,null,null,53455,3305140,139193,27772767,4.54,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q93","app-20220209235239-0100","Recommended",2.18,31203.42,36894.57,50166,29213056,68098,50166,64.73,null,null,null,null,null,null,50161,2973035,0,29213056,3.78,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q23a","app-20220209225917-0027","Recommended",2.17,43196.97,50617.02,74068,45913641,93814,66840,64.81,null,null,null,null,null,null,74064,2975228,4480262,41433379,4.12,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q23b","app-20220209230053-0028","Recommended",2.08,46588.14,50761.85,77422,59799857,97350,66526,66.43,null,null,null,null,null,null,77417,3011951,8415627,51384230,4.22,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","DecimalType;decimal"],["TPC-DS Like Bench q72","app-20220209233659-0079","Recommended",1.97,30920.88,30054.11,41703,25434438,60975,41703,74.77,null,null,null,null,null,null,41694,2971887,0,25434438,3.58,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q64","app-20220209232701-0071","Recommended",1.95,30544.61,29103.38,38925,31852357,59648,37301,55.12,null,null,null,null,null,null,38919,2987987,1328490,30523867,4.55,false,"HashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q78","app-20220209234412-0085","Recommended",1.94,24390.79,22946.2,29098,24753911,47337,29098,56.99,null,null,null,null,null,null,29090,2968697,0,24753911,4.73,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q95","app-20220209235427-0102","Recommended",1.9,29920.38,26967.61,37674,23337528,56888,35528,49.19,null,null,null,null,null,null,37667,2958216,1328886,22008642,4.15,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q87","app-20220209234925-0094","Recommended",1.81,25518.2,20871.79,26279,16348325,46390,26279,52.04,null,null,null,null,null,null,26272,2954066,0,16348325,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q50","app-20220209231919-0057","Recommended",1.76,26735.89,20549.1,28736,16444045,47285,28736,52.87,null,null,null,null,null,null,28732,3339217,0,16444045,3.51,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q97","app-20220209235552-0104","Recommended",1.76,24057.8,18398.19,23731,11475611,42456,23731,58.69,null,null,null,null,null,null,23727,3009477,0,11475611,4.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q75","app-20220209233914-0082","Recommended",1.74,25544.26,18972.73,24939,19831478,44517,24939,43.74,null,null,null,null,null,null,24933,2987306,0,19831478,4.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q38","app-20220209231214-0044","Recommended",1.73,23047.06,16910.93,21292,15248682,39958,21292,48.81,null,null,null,null,null,null,21288,3167687,0,15248682,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q31","app-20220209230826-0037","Recommended",1.68,23595.69,16242.3,20407,12617670,39838,20407,34.76,null,null,null,null,null,null,20399,2942830,0,12617670,4.9,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q74","app-20220209233831-0081","Recommended",1.68,24668.06,16781.93,21747,16692240,41450,21747,46.93,null,null,null,null,null,null,21741,3325282,0,16692240,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q11","app-20220209224833-0014","Recommended",1.62,26707.24,16820.75,24208,17615125,43528,22143,45.76,null,null,null,null,null,null,24205,2917642,1502045,16113080,4.16,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q16","app-20220209225524-0020","Recommended",1.62,25717.33,16006.66,22726,18535920,41724,21306,44.67,null,null,null,null,null,null,22720,3028781,1157466,17378454,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q51","app-20220209232008-0058","Recommended",1.59,21942.35,13069.64,16925,12278939,35012,16925,47.26,null,null,null,null,null,null,16920,2979507,0,12278939,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q81","app-20220209234611-0088","Recommended",1.58,23125.59,13612.4,17437,10033526,36738,17393,36.22,null,null,null,null,null,null,17431,3083743,24955,10008571,4.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q65","app-20220209232803-0072","Recommended",1.57,23403.59,13469.4,18332,10164071,36873,18332,46.41,null,null,null,null,null,null,18324,2941892,0,10164071,3.77,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q30","app-20220209230750-0036","Recommended",1.56,21777.06,12322.93,16070,8447753,34100,16023,33.65,null,null,null,null,null,null,16063,2987480,24435,8423318,4.33,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q15","app-20220209225447-0019","Recommended",1.52,23166.12,12074.87,15970,6770100,35241,15970,34.25,null,null,null,null,null,null,15964,2923648,0,6770100,4.09,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q35","app-20220209231035-0041","Recommended",1.51,24552.13,12648.86,18298,10027023,37201,17010,37.15,null,null,null,null,null,null,18293,3059747,705510,9321513,3.9,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q8","app-20220209224648-0011","Recommended",1.51,23372.7,12016.29,15691,6693324,35389,15691,20.01,null,null,null,null,null,null,15686,3133963,0,6693324,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q69","app-20220209233517-0076","Recommended",1.5,24534.64,12431.35,16589,7246714,36966,16589,27.75,null,null,null,null,null,null,16583,2963952,0,7246714,3.99,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q94","app-20220209235349-0101","Recommended",1.5,24361.44,12284.55,17424,13168326,36646,16352,41.87,null,null,null,null,null,null,17416,3048502,809952,12358374,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q54","app-20220209232140-0061","Recommended",1.5,23475.06,11742.93,15568,5555140,35218,15568,28.65,null,null,null,null,null,null,15563,3021018,0,5555140,4.07,false,"Execute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q39a","app-20220209231256-0045","Recommended",1.49,22102.22,10863.77,14136,4794226,32966,14136,24.49,null,null,null,null,null,null,14131,2998677,0,4794226,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q29","app-20220209230713-0035","Recommended",1.49,23597.91,11588.08,15912,10021701,35186,15912,44.09,null,null,null,null,null,null,15905,3057910,0,10021701,3.68,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q47","app-20220209231740-0054","Recommended",1.48,23520.63,11417.36,15246,8996925,34938,15160,35.78,null,null,null,null,null,null,15241,3107687,50299,8946626,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q59","app-20220209232422-0066","Recommended",1.48,24246.78,11658.21,16091,6749831,35905,16091,34.65,null,null,null,null,null,null,16084,3068245,0,6749831,3.63,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q6","app-20220209224544-0009","Recommended",1.46,22488.01,10526.98,13758,6335474,33015,13756,30.04,null,null,null,null,null,null,13753,2943126,863,6334611,4.26,false,"Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q80","app-20220209234532-0087","Recommended",1.46,25298.12,11841.87,16742,12630126,37140,15856,40.02,null,null,null,null,null,null,16735,3360633,668346,11961780,3.95,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q39b","app-20220209231330-0046","Recommended",1.46,22094.04,10341.95,13457,3807675,32436,13457,30.24,null,null,null,null,null,null,13451,2941727,0,3807675,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q57","app-20220209232314-0064","Recommended",1.46,22995.99,10722.0,14351,8374423,33718,14237,31.73,null,null,null,null,null,null,14345,2948771,66283,8308140,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q1","app-20220209224147-0004","Recommended",1.46,21599.35,10007.64,13417,7598550,31607,13321,37.09,null,null,null,null,null,null,13412,3012015,54119,7544431,4.01,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q18","app-20220209225644-0022","Recommended",1.44,22216.88,9865.11,13492,7586670,32082,13492,33.42,null,null,null,null,null,null,13484,2962080,0,7586670,3.72,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q45","app-20220209231631-0052","Recommended",1.44,23723.45,10458.54,14455,5768757,34182,14154,33.74,null,null,null,null,null,null,14447,2957022,120068,5648689,3.83,false,"Execute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRow",null],["TPC-DS Like Bench q17","app-20220209225607-0021","Recommended",1.43,24334.61,10564.38,14420,7818278,34899,14420,37.4,null,null,null,null,null,null,14412,3106844,0,7818278,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q25","app-20220209230506-0031","Recommended",1.43,21671.78,9370.21,12790,7060196,31042,12790,34.97,null,null,null,null,null,null,12784,3060435,0,7060196,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q49","app-20220209231846-0056","Recommended",1.42,22231.44,9476.55,12466,8785195,31708,12466,26.92,null,null,null,null,null,null,12448,3080539,0,8785195,4.17,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q46","app-20220209231707-0053","Recommended",1.42,22047.85,9385.14,12318,6163042,31433,12318,26.39,null,null,null,null,null,null,12312,3017041,0,6163042,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q10","app-20220209224756-0013","Recommended",1.42,24919.87,10489.12,15574,7745798,35409,14432,30.14,null,null,null,null,null,null,15567,3236768,567780,7178018,3.66,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q68","app-20220209233444-0075","Recommended",1.41,21674.52,9006.47,11821,5109423,30681,11821,20.54,null,null,null,null,null,null,11814,3004334,0,5109423,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q5","app-20220209224509-0008","Recommended",1.41,23548.42,9749.57,13729,8967631,33298,13729,41.35,null,null,null,null,null,null,13722,3186659,0,8967631,3.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q34","app-20220209231004-0040","Recommended",1.4,20675.69,8427.3,10842,5053339,29103,10842,27.34,null,null,null,null,null,null,10836,2994320,0,5053339,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q82","app-20220209234649-0089","Recommended",1.4,22206.53,8955.46,12212,7344489,31162,12212,39.29,null,null,null,null,null,null,12199,2973553,0,7344489,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q85","app-20220209234821-0092","Recommended",1.4,24121.11,9726.88,13468,7684101,33848,13468,29.91,null,null,null,null,null,null,13462,2949755,0,7684101,3.6,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q28","app-20220209230637-0034","Recommended",1.39,24599.41,9839.58,15464,14309580,34439,13823,33.04,null,null,null,null,null,null,15458,3008413,1518296,12791284,3.47,false,"AdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRow","merge_avg;merge_count"],["TPC-DS Like Bench q58","app-20220209232349-0065","Recommended",1.39,22489.0,8770.99,12322,5717106,31260,12322,34.17,null,null,null,null,null,null,12313,3102820,0,5717106,3.47,false,"Execute CreateViewCommand;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q19","app-20220209225718-0023","Recommended",1.38,21689.15,8456.84,11373,5749051,30146,11373,23.22,null,null,null,null,null,null,11364,3161292,0,5749051,3.9,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q61","app-20220209232531-0068","Recommended",1.38,23308.72,9017.27,12357,4376440,32326,12357,36.63,null,null,null,null,null,null,12349,3022176,0,4376440,3.7,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q71","app-20220209233627-0078","Recommended",1.38,21967.67,8440.32,11371,4987537,30408,11371,21.81,null,null,null,null,null,null,11363,3052139,0,4987537,3.88,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q22","app-20220209225845-0026","Recommended",1.38,22397.03,8535.96,12381,1736064,30933,12381,50.01,null,null,null,null,null,null,12376,2929875,0,1736064,3.22,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q70","app-20220209233555-0077","Recommended",1.37,21798.79,8233.2,10751,4816235,30032,10751,33.51,null,null,null,null,null,null,10746,3034688,0,4816235,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q83","app-20220209234722-0090","Recommended",1.36,21949.16,8010.83,10956,5253931,29960,10956,26.62,null,null,null,null,null,null,10949,2993826,0,5253931,3.72,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q98","app-20220209235636-0105","Recommended",1.36,20487.86,7376.13,9674,3164505,27864,9674,21.36,null,null,null,null,null,null,9669,2953354,0,3164505,4.21,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q79","app-20220209234502-0086","Recommended",1.35,21073.77,7578.22,10344,5584295,28652,10344,29.69,null,null,null,null,null,null,10340,3007559,0,5584295,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q73","app-20220209233802-0080","Recommended",1.35,20143.11,7154.88,9205,3086301,27298,9205,27.46,null,null,null,null,null,null,9201,2929775,0,3086301,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q91","app-20220209235141-0098","Recommended",1.34,22090.61,7648.38,10351,3106198,29739,10351,23.11,null,null,null,null,null,null,10347,2997584,0,3106198,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q37","app-20220209231143-0043","Recommended",1.34,22130.6,7605.4,10371,5754398,29736,10371,38.21,null,null,null,null,null,null,10366,3003155,0,5754398,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q44","app-20220209231559-0051","Recommended",1.34,22359.33,7652.66,10956,7175937,30012,10347,29.11,null,null,null,null,null,null,10950,3029969,398712,6777225,3.84,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q9","app-20220209224725-0012","Recommended",1.33,21873.81,7315.18,9829,8064543,29189,9829,35.84,null,null,null,null,null,null,9823,3021491,0,8064543,3.91,false,"Execute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q40","app-20220209231405-0047","Recommended",1.33,24561.7,8167.29,12119,8004983,32729,11272,36.85,null,null,null,null,null,null,12110,3142013,558989,7445994,3.63,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q2","app-20220209224220-0005","Recommended",1.32,21301.46,6890.53,8966,4724046,28192,8966,38.76,null,null,null,null,null,null,8960,3025086,0,4724046,4.32,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench ss_max","app-20220209235735-0107","Recommended",1.31,20784.37,6539.62,9176,5331368,27324,8883,40.82,null,null,null,null,null,null,9171,3049122,169902,5161466,3.79,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_count;merge_max"],["TPC-DS Like Bench q60","app-20220209232500-0067","Recommended",1.31,22250.37,6983.62,9811,3834676,29234,9811,19.92,null,null,null,null,null,null,9806,2939560,0,3834676,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q13","app-20220209224945-0016","Recommended",1.31,20407.71,6360.28,8816,4265966,26768,8816,34.5,null,null,null,null,null,null,8808,2951094,0,4265966,3.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q56","app-20220209232242-0063","Recommended",1.3,22798.87,7044.12,9896,3729466,29843,9896,14.44,null,null,null,null,null,null,9890,2971656,0,3729466,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q76","app-20220209234000-0083","Recommended",1.3,22630.64,6827.35,9835,6264831,29458,9835,33.9,null,null,null,null,null,null,9830,3037202,0,6264831,3.27,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q33","app-20220209230935-0039","Recommended",1.3,21561.95,6491.04,9119,3032680,28053,9119,18.14,null,null,null,null,null,null,9111,2983234,0,3032680,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q88","app-20220209235013-0095","Recommended",1.3,23989.56,7197.43,9998,6687038,31187,9998,43.92,null,null,null,null,null,null,9987,3212440,0,6687038,3.57,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q7","app-20220209224619-0010","Not Recommended",1.29,20663.5,6143.5,8936,4022166,26807,8936,35.88,null,null,null,null,null,null,8929,2959904,0,4022166,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q48","app-20220209231816-0055","Not Recommended",1.29,21310.47,6237.52,8514,3969649,27548,8514,33.42,null,null,null,null,null,null,8507,2990347,0,3969649,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q26","app-20220209230539-0032","Not Recommended",1.28,21556.18,6109.81,8887,4002441,27666,8887,36.79,null,null,null,null,null,null,8876,3012952,0,4002441,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q12","app-20220209224918-0015","Not Recommended",1.27,19624.36,5459.63,7584,1865587,25084,7584,23.82,null,null,null,null,null,null,7577,3102250,0,1865587,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q62","app-20220209232605-0069","Not Recommended",1.27,21448.22,5877.77,8574,4218821,27326,8574,36.47,null,null,null,null,null,null,8565,3017055,0,4218821,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q20","app-20220209225749-0024","Not Recommended",1.26,21250.95,5641.04,7836,2040974,26892,7836,22.51,null,null,null,null,null,null,7829,3039094,0,2040974,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q99","app-20220209235705-0106","Not Recommended",1.25,22355.32,5801.67,8463,4558275,28157,8463,33.1,null,null,null,null,null,null,8455,2973149,0,4558275,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q36","app-20220209231114-0042","Not Recommended",1.25,21356.73,5527.26,7756,3642750,26884,7756,30.08,null,null,null,null,null,null,7752,2905924,0,3642750,3.48,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q89","app-20220209235046-0096","Not Recommended",1.25,20969.23,5401.76,7869,4029740,26371,7615,24.99,null,null,null,null,null,null,7858,3012145,129765,3899975,3.44,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q86","app-20220209234857-0093","Not Recommended",1.25,21140.77,5388.22,7493,3505441,26529,7493,29.09,null,null,null,null,null,null,7489,3240380,0,3505441,3.56,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q27","app-20220209230608-0033","Not Recommended",1.25,22114.89,5587.1,8150,3737103,27702,8150,29.62,null,null,null,null,null,null,8143,3067371,0,3737103,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q66","app-20220209232841-0073","Not Recommended",1.24,24291.91,5938.08,9771,5287383,30230,8612,35.68,null,null,null,null,null,null,9765,2922061,626680,4660703,3.22,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q53","app-20220209232111-0060","Not Recommended",1.23,22160.97,5233.02,7622,3879496,27394,7368,25.54,null,null,null,null,null,null,7617,2905347,128795,3750701,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q84","app-20220209234754-0091","Not Recommended",1.23,21195.3,4968.69,7129,3814060,26164,7129,40.65,null,null,null,null,null,null,7123,3029105,0,3814060,3.3,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q63","app-20220209232634-0070","Not Recommended",1.23,21192.66,4957.33,7215,3490147,26150,6980,26.58,null,null,null,null,null,null,7207,2976838,113318,3376829,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q43","app-20220209231533-0050","Not Recommended",1.23,19958.18,4641.81,6660,3257940,24600,6660,29.65,null,null,null,null,null,null,6651,2961446,0,3257940,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench ss_maxb","app-20220209235804-0108","Not Recommended",1.23,19063.41,4414.58,5825,3798491,23478,5825,48.17,null,null,null,null,null,null,5819,3155711,0,3798491,4.13,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q3","app-20220209224250-0006","Not Recommended",1.22,20089.36,4522.63,6489,2898373,24612,6489,26.88,null,null,null,null,null,null,6483,3094853,0,2898373,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q21","app-20220209225818-0025","Not Recommended",1.22,20413.61,4531.38,6610,1072926,24945,6610,40.94,null,null,null,null,null,null,6605,3079474,0,1072926,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q55","app-20220209232217-0062","Not Recommended",1.22,19494.18,4296.81,6165,2612787,23791,6165,24.78,null,null,null,null,null,null,6158,2995446,0,2612787,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q92","app-20220209235212-0099","Not Recommended",1.21,20741.45,4549.54,6384,2095601,25291,6123,25.07,null,null,null,null,null,null,6380,2967129,85419,2010182,3.89,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q90","app-20220209235114-0097","Not Recommended",1.21,20450.98,4350.01,6209,2604676,24801,6209,44.95,null,null,null,null,null,null,6204,2976499,0,2604676,3.34,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q32","app-20220209230908-0038","Not Recommended",1.2,20973.26,4366.73,6107,2712962,25340,5909,25.21,null,null,null,null,null,null,6098,3048254,87623,2625339,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q42","app-20220209231505-0049","Not Recommended",1.2,21414.78,4436.21,6365,2726759,25851,6365,23.15,null,null,null,null,null,null,6358,3047836,0,2726759,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q52","app-20220209232045-0059","Not Recommended",1.19,20523.3,4071.69,5842,2683090,24595,5842,25.46,null,null,null,null,null,null,5827,3074975,0,2683090,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q41","app-20220209231439-0048","Not Recommended",1.19,20533.93,4071.06,5649,161564,24605,5649,55.4,null,null,null,null,null,null,5642,2970757,0,161564,3.58,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q96","app-20220209235526-0103","Not Recommended",1.18,20189.67,3776.32,5324,2304428,23966,5324,44.32,null,null,null,null,null,null,5317,2947875,0,2304428,3.44,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["DART-ALGO","application_1665146417445_0002","Not Recommended",1.04,375798.12,16253.87,44531,75900172,392052,23675,14.55,null,null,null,null,null,null,16579,58017590,35546441,40353731,3.19,false,"Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimit",null],["DART-ALGO","application_1665146417445_0003","Not Recommended",1.0,690682.0,0.0,0,0,690682,0,0.0,null,null,null,null,null,null,0,0,0,0,1.0,false,null,null]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"App Name","type":"\"string\"","metadata":"{}"},{"name":"App ID","type":"\"string\"","metadata":"{}"},{"name":"Recommendation","type":"\"string\"","metadata":"{}"},{"name":"Estimated GPU Speedup","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Duration","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Time Saved","type":"\"double\"","metadata":"{}"},{"name":"SQL DF Duration","type":"\"long\"","metadata":"{}"},{"name":"SQL Dataframe Task Duration","type":"\"long\"","metadata":"{}"},{"name":"App Duration","type":"\"long\"","metadata":"{}"},{"name":"GPU Opportunity","type":"\"long\"","metadata":"{}"},{"name":"Executor CPU Time Percent","type":"\"double\"","metadata":"{}"},{"name":"SQL Ids with Failures","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Read File Formats and Types","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Write Data Format","type":"\"double\"","metadata":"{}"},{"name":"Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Nested Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Potential Problems","type":"\"double\"","metadata":"{}"},{"name":"Longest SQL Duration","type":"\"long\"","metadata":"{}"},{"name":"NONSQL Task Duration Plus Overhead","type":"\"long\"","metadata":"{}"},{"name":"Unsupported Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Supported SQL DF Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Task Speedup Factor","type":"\"double\"","metadata":"{}"},{"name":"App Duration Estimated","type":"\"boolean\"","metadata":"{}"},{"name":"Unsupported Execs","type":"\"string\"","metadata":"{}"},{"name":"Unsupported Expressions","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
App NameApp IDRecommendationEstimated GPU SpeedupEstimated GPU DurationEstimated GPU Time SavedSQL DF DurationSQL Dataframe Task DurationApp DurationGPU OpportunityExecutor CPU Time PercentSQL Ids with FailuresUnsupported Read File Formats and TypesUnsupported Write Data FormatComplex TypesNested Complex TypesPotential ProblemsLongest SQL DurationNONSQL Task Duration Plus OverheadUnsupported Task DurationSupported SQL DF Task DurationTask Speedup FactorApp Duration EstimatedUnsupported ExecsUnsupported Expressions
TPC-DS Like Bench q14bapp-20220209225233-0018Strongly Recommended2.748971.5383400.461127082706696413237210979365.66nullnullnullnullnullnull1127012939275700037263669274.16falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q14aapp-20220209225013-0017Strongly Recommended2.6651728.9686381.031171782874600013811011263664.69nullnullnullnullnullnull11717229789871114076276319244.29falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q4app-20220209224316-0007Strongly Recommended2.6641856.0369720.9690167853247001115779016765.09nullnullnullnullnullnull9016330865160853247004.41falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q24bapp-20220209230348-0030Recommended2.3432581.0743720.925674827574691763025669460.89nullnullnullnullnullnull56741295063425998275486934.37falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q67app-20220209232913-0074Recommended2.27144720.72184416.273081851543719232913726530073.64nullnullnullnullnullnull30817430284692148108132890843.28falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q24aapp-20220209230232-0029Recommended2.2533029.2241483.775346927911960745135320260.14nullnullnullnullnullnull534553305140139193277727674.54falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q93app-20220209235239-0100Recommended2.1831203.4236894.575016629213056680985016664.73nullnullnullnullnullnull5016129730350292130563.78falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q23aapp-20220209225917-0027Recommended2.1743196.9750617.027406845913641938146684064.81nullnullnullnullnullnull7406429752284480262414333794.12falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q23bapp-20220209230053-0028Recommended2.0846588.1450761.857742259799857973506652666.43nullnullnullnullnullnull7741730119518415627513842304.22falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowDecimalType;decimal
TPC-DS Like Bench q72app-20220209233659-0079Recommended1.9730920.8830054.114170325434438609754170374.77nullnullnullnullnullnull4169429718870254344383.58falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q64app-20220209232701-0071Recommended1.9530544.6129103.383892531852357596483730155.12nullnullnullnullnullnull3891929879871328490305238674.55falseHashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q78app-20220209234412-0085Recommended1.9424390.7922946.22909824753911473372909856.99nullnullnullnullnullnull2909029686970247539114.73falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q95app-20220209235427-0102Recommended1.929920.3826967.613767423337528568883552849.19nullnullnullnullnullnull3766729582161328886220086424.15falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q87app-20220209234925-0094Recommended1.8125518.220871.792627916348325463902627952.04nullnullnullnullnullnull2627229540660163483254.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q50app-20220209231919-0057Recommended1.7626735.8920549.12873616444045472852873652.87nullnullnullnullnullnull2873233392170164440453.51falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q97app-20220209235552-0104Recommended1.7624057.818398.192373111475611424562373158.69nullnullnullnullnullnull2372730094770114756114.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q75app-20220209233914-0082Recommended1.7425544.2618972.732493919831478445172493943.74nullnullnullnullnullnull2493329873060198314784.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q38app-20220209231214-0044Recommended1.7323047.0616910.932129215248682399582129248.81nullnullnullnullnullnull2128831676870152486824.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q31app-20220209230826-0037Recommended1.6823595.6916242.32040712617670398382040734.76nullnullnullnullnullnull2039929428300126176704.9falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q74app-20220209233831-0081Recommended1.6824668.0616781.932174716692240414502174746.93nullnullnullnullnullnull2174133252820166922404.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q11app-20220209224833-0014Recommended1.6226707.2416820.752420817615125435282214345.76nullnullnullnullnullnull2420529176421502045161130804.16falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q16app-20220209225524-0020Recommended1.6225717.3316006.662272618535920417242130644.67nullnullnullnullnullnull2272030287811157466173784544.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q51app-20220209232008-0058Recommended1.5921942.3513069.641692512278939350121692547.26nullnullnullnullnullnull1692029795070122789394.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q81app-20220209234611-0088Recommended1.5823125.5913612.41743710033526367381739336.22nullnullnullnullnullnull17431308374324955100085714.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q65app-20220209232803-0072Recommended1.5723403.5913469.41833210164071368731833246.41nullnullnullnullnullnull1832429418920101640713.77falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q30app-20220209230750-0036Recommended1.5621777.0612322.93160708447753341001602333.65nullnullnullnullnullnull1606329874802443584233184.33falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q15app-20220209225447-0019Recommended1.5223166.1212074.87159706770100352411597034.25nullnullnullnullnullnull159642923648067701004.09falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q35app-20220209231035-0041Recommended1.5124552.1312648.861829810027023372011701037.15nullnullnullnullnullnull18293305974770551093215133.9falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q8app-20220209224648-0011Recommended1.5123372.712016.29156916693324353891569120.01nullnullnullnullnullnull156863133963066933244.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q69app-20220209233517-0076Recommended1.524534.6412431.35165897246714369661658927.75nullnullnullnullnullnull165832963952072467143.99falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q94app-20220209235349-0101Recommended1.524361.4412284.551742413168326366461635241.87nullnullnullnullnullnull174163048502809952123583744.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q54app-20220209232140-0061Recommended1.523475.0611742.93155685555140352181556828.65nullnullnullnullnullnull155633021018055551404.07falseExecute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRownull
TPC-DS Like Bench q39aapp-20220209231256-0045Recommended1.4922102.2210863.77141364794226329661413624.49nullnullnullnullnullnull141312998677047942264.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q29app-20220209230713-0035Recommended1.4923597.9111588.081591210021701351861591244.09nullnullnullnullnullnull1590530579100100217013.68falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q47app-20220209231740-0054Recommended1.4823520.6311417.36152468996925349381516035.78nullnullnullnullnullnull1524131076875029989466264.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q59app-20220209232422-0066Recommended1.4824246.7811658.21160916749831359051609134.65nullnullnullnullnullnull160843068245067498313.63falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q6app-20220209224544-0009Recommended1.4622488.0110526.98137586335474330151375630.04nullnullnullnullnullnull13753294312686363346114.26falseSubquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q80app-20220209234532-0087Recommended1.4625298.1211841.871674212630126371401585640.02nullnullnullnullnullnull167353360633668346119617803.95falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q39bapp-20220209231330-0046Recommended1.4622094.0410341.95134573807675324361345730.24nullnullnullnullnullnull134512941727038076754.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q57app-20220209232314-0064Recommended1.4622995.9910722.0143518374423337181423731.73nullnullnullnullnullnull1434529487716628383081404.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q1app-20220209224147-0004Recommended1.4621599.3510007.64134177598550316071332137.09nullnullnullnullnullnull1341230120155411975444314.01falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q18app-20220209225644-0022Recommended1.4422216.889865.11134927586670320821349233.42nullnullnullnullnullnull134842962080075866703.72falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q45app-20220209231631-0052Recommended1.4423723.4510458.54144555768757341821415433.74nullnullnullnullnullnull14447295702212006856486893.83falseExecute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRownull
TPC-DS Like Bench q17app-20220209225607-0021Recommended1.4324334.6110564.38144207818278348991442037.4nullnullnullnullnullnull144123106844078182783.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q25app-20220209230506-0031Recommended1.4321671.789370.21127907060196310421279034.97nullnullnullnullnullnull127843060435070601963.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q49app-20220209231846-0056Recommended1.4222231.449476.55124668785195317081246626.92nullnullnullnullnullnull124483080539087851954.17falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q46app-20220209231707-0053Recommended1.4222047.859385.14123186163042314331231826.39nullnullnullnullnullnull123123017041061630424.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q10app-20220209224756-0013Recommended1.4224919.8710489.12155747745798354091443230.14nullnullnullnullnullnull15567323676856778071780183.66falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q68app-20220209233444-0075Recommended1.4121674.529006.47118215109423306811182120.54nullnullnullnullnullnull118143004334051094234.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q5app-20220209224509-0008Recommended1.4123548.429749.57137298967631332981372941.35nullnullnullnullnullnull137223186659089676313.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q34app-20220209231004-0040Recommended1.420675.698427.3108425053339291031084227.34nullnullnullnullnullnull108362994320050533394.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q82app-20220209234649-0089Recommended1.422206.538955.46122127344489311621221239.29nullnullnullnullnullnull121992973553073444893.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q85app-20220209234821-0092Recommended1.424121.119726.88134687684101338481346829.91nullnullnullnullnullnull134622949755076841013.6falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q28app-20220209230637-0034Recommended1.3924599.419839.581546414309580344391382333.04nullnullnullnullnullnull1545830084131518296127912843.47falseAdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRowmerge_avg;merge_count
TPC-DS Like Bench q58app-20220209232349-0065Recommended1.3922489.08770.99123225717106312601232234.17nullnullnullnullnullnull123133102820057171063.47falseExecute CreateViewCommand;Subquery;ColumnarToRownull
TPC-DS Like Bench q19app-20220209225718-0023Recommended1.3821689.158456.84113735749051301461137323.22nullnullnullnullnullnull113643161292057490513.9falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q61app-20220209232531-0068Recommended1.3823308.729017.27123574376440323261235736.63nullnullnullnullnullnull123493022176043764403.7falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q71app-20220209233627-0078Recommended1.3821967.678440.32113714987537304081137121.81nullnullnullnullnullnull113633052139049875373.88falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q22app-20220209225845-0026Recommended1.3822397.038535.96123811736064309331238150.01nullnullnullnullnullnull123762929875017360643.22falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q70app-20220209233555-0077Recommended1.3721798.798233.2107514816235300321075133.51nullnullnullnullnullnull107463034688048162354.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q83app-20220209234722-0090Recommended1.3621949.168010.83109565253931299601095626.62nullnullnullnullnullnull109492993826052539313.72falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q98app-20220209235636-0105Recommended1.3620487.867376.139674316450527864967421.36nullnullnullnullnullnull96692953354031645054.21falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q79app-20220209234502-0086Recommended1.3521073.777578.22103445584295286521034429.69nullnullnullnullnullnull103403007559055842953.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q73app-20220209233802-0080Recommended1.3520143.117154.889205308630127298920527.46nullnullnullnullnullnull92012929775030863014.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q91app-20220209235141-0098Recommended1.3422090.617648.38103513106198297391035123.11nullnullnullnullnullnull103472997584031061983.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q37app-20220209231143-0043Recommended1.3422130.67605.4103715754398297361037138.21nullnullnullnullnullnull103663003155057543983.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q44app-20220209231559-0051Recommended1.3422359.337652.66109567175937300121034729.11nullnullnullnullnullnull10950302996939871267772253.84falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q9app-20220209224725-0012Recommended1.3321873.817315.189829806454329189982935.84nullnullnullnullnullnull98233021491080645433.91falseExecute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRownull
TPC-DS Like Bench q40app-20220209231405-0047Recommended1.3324561.78167.29121198004983327291127236.85nullnullnullnullnullnull12110314201355898974459943.63falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q2app-20220209224220-0005Recommended1.3221301.466890.538966472404628192896638.76nullnullnullnullnullnull89603025086047240464.32falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench ss_maxapp-20220209235735-0107Recommended1.3120784.376539.629176533136827324888340.82nullnullnullnullnullnull9171304912216990251614663.79falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_count;merge_max
TPC-DS Like Bench q60app-20220209232500-0067Recommended1.3122250.376983.629811383467629234981119.92nullnullnullnullnullnull98062939560038346763.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q13app-20220209224945-0016Recommended1.3120407.716360.288816426596626768881634.5nullnullnullnullnullnull88082951094042659663.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q56app-20220209232242-0063Recommended1.322798.877044.129896372946629843989614.44nullnullnullnullnullnull98902971656037294663.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q76app-20220209234000-0083Recommended1.322630.646827.359835626483129458983533.9nullnullnullnullnullnull98303037202062648313.27falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q33app-20220209230935-0039Recommended1.321561.956491.049119303268028053911918.14nullnullnullnullnullnull91112983234030326803.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q88app-20220209235013-0095Recommended1.323989.567197.439998668703831187999843.92nullnullnullnullnullnull99873212440066870383.57falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q7app-20220209224619-0010Not Recommended1.2920663.56143.58936402216626807893635.88nullnullnullnullnullnull89292959904040221663.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q48app-20220209231816-0055Not Recommended1.2921310.476237.528514396964927548851433.42nullnullnullnullnullnull85072990347039696493.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q26app-20220209230539-0032Not Recommended1.2821556.186109.818887400244127666888736.79nullnullnullnullnullnull88763012952040024413.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q12app-20220209224918-0015Not Recommended1.2719624.365459.637584186558725084758423.82nullnullnullnullnullnull75773102250018655873.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q62app-20220209232605-0069Not Recommended1.2721448.225877.778574421882127326857436.47nullnullnullnullnullnull85653017055042188213.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q20app-20220209225749-0024Not Recommended1.2621250.955641.047836204097426892783622.51nullnullnullnullnullnull78293039094020409743.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q99app-20220209235705-0106Not Recommended1.2522355.325801.678463455827528157846333.1nullnullnullnullnullnull84552973149045582753.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q36app-20220209231114-0042Not Recommended1.2521356.735527.267756364275026884775630.08nullnullnullnullnullnull77522905924036427503.48falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q89app-20220209235046-0096Not Recommended1.2520969.235401.767869402974026371761524.99nullnullnullnullnullnull7858301214512976538999753.44falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q86app-20220209234857-0093Not Recommended1.2521140.775388.227493350544126529749329.09nullnullnullnullnullnull74893240380035054413.56falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q27app-20220209230608-0033Not Recommended1.2522114.895587.18150373710327702815029.62nullnullnullnullnullnull81433067371037371033.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q66app-20220209232841-0073Not Recommended1.2424291.915938.089771528738330230861235.68nullnullnullnullnullnull9765292206162668046607033.22falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q53app-20220209232111-0060Not Recommended1.2322160.975233.027622387949627394736825.54nullnullnullnullnullnull7617290534712879537507013.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q84app-20220209234754-0091Not Recommended1.2321195.34968.697129381406026164712940.65nullnullnullnullnullnull71233029105038140603.3falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q63app-20220209232634-0070Not Recommended1.2321192.664957.337215349014726150698026.58nullnullnullnullnullnull7207297683811331833768293.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q43app-20220209231533-0050Not Recommended1.2319958.184641.816660325794024600666029.65nullnullnullnullnullnull66512961446032579403.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench ss_maxbapp-20220209235804-0108Not Recommended1.2319063.414414.585825379849123478582548.17nullnullnullnullnullnull58193155711037984914.13falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q3app-20220209224250-0006Not Recommended1.2220089.364522.636489289837324612648926.88nullnullnullnullnullnull64833094853028983733.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q21app-20220209225818-0025Not Recommended1.2220413.614531.386610107292624945661040.94nullnullnullnullnullnull66053079474010729263.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q55app-20220209232217-0062Not Recommended1.2219494.184296.816165261278723791616524.78nullnullnullnullnullnull61582995446026127873.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q92app-20220209235212-0099Not Recommended1.2120741.454549.546384209560125291612325.07nullnullnullnullnullnull638029671298541920101823.89falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q90app-20220209235114-0097Not Recommended1.2120450.984350.016209260467624801620944.95nullnullnullnullnullnull62042976499026046763.34falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q32app-20220209230908-0038Not Recommended1.220973.264366.736107271296225340590925.21nullnullnullnullnullnull609830482548762326253393.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q42app-20220209231505-0049Not Recommended1.221414.784436.216365272675925851636523.15nullnullnullnullnullnull63583047836027267593.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q52app-20220209232045-0059Not Recommended1.1920523.34071.695842268309024595584225.46nullnullnullnullnullnull58273074975026830903.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q41app-20220209231439-0048Not Recommended1.1920533.934071.06564916156424605564955.4nullnullnullnullnullnull5642297075701615643.58falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q96app-20220209235526-0103Not Recommended1.1820189.673776.325324230442823966532444.32nullnullnullnullnullnull53172947875023044283.44falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
DART-ALGOapplication_1665146417445_0002Not Recommended1.04375798.1216253.8744531759001723920522367514.55nullnullnullnullnullnull165795801759035546441403537313.19falseScan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimitnull
DART-ALGOapplication_1665146417445_0003Not Recommended1.0690682.00.00069068200.0nullnullnullnullnullnull00001.0falsenullnull
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Stages Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6756159b-30ca-407a-ab6b-9c29ced01ea6","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["stages_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_stages.csv\")\ndisplay(stages_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"cdde6177-db5f-434a-995b-776678a64a3a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",31,2.95,1184,0,false],["app-20220209224509-0008",33,2.9,1086,0,false],["app-20220209224509-0008",35,3.37,2321523,0,false],["app-20220209224509-0008",41,3.9,172648,0,false],["app-20220209224509-0008",39,5.72,4586824,0,false],["app-20220209224509-0008",38,3.36,694337,0,false],["app-20220209224509-0008",40,4.26,656835,0,false],["app-20220209224509-0008",37,3.36,524190,0,false],["app-20220209224509-0008",32,2.9,641,0,false],["app-20220209224509-0008",36,2.73,7065,0,false],["app-20220209224509-0008",42,3.0,218,0,false],["app-20220209224509-0008",34,2.9,1080,0,false],["app-20220209235114-0097",39,2.71,0,0,true],["app-20220209235114-0097",40,3.54,413,0,false],["app-20220209235114-0097",34,2.95,964,0,false],["app-20220209235114-0097",37,2.71,0,0,true],["app-20220209235114-0097",41,3.0,365,0,false],["app-20220209235114-0097",31,2.95,1058,0,false],["app-20220209235114-0097",32,2.95,694,0,false],["app-20220209235114-0097",35,3.68,2142147,0,false],["app-20220209235114-0097",38,4.34,271,0,false],["app-20220209235114-0097",36,3.68,457864,0,false],["app-20220209235114-0097",33,2.95,900,0,false],["app-20220209230506-0031",35,3.33,93394,0,false],["app-20220209230506-0031",36,3.33,239863,0,false],["app-20220209230506-0031",38,6.91,2696172,0,false],["app-20220209230506-0031",37,3.33,1684494,0,false],["app-20220209230506-0031",40,3.9,205018,0,false],["app-20220209230506-0031",32,2.9,7530,0,false],["app-20220209230506-0031",41,3.0,210,0,false],["app-20220209230506-0031",39,5.67,2129775,0,false],["app-20220209230506-0031",34,2.95,1198,0,false],["app-20220209230506-0031",31,2.95,1284,0,false],["app-20220209230506-0031",33,2.9,1258,0,false],["app-20220209232634-0070",32,2.9,1046,0,false],["app-20220209232634-0070",34,3.72,2226056,0,false],["app-20220209232634-0070",31,2.95,6677,0,false],["app-20220209232634-0070",33,2.95,672,0,false],["app-20220209232634-0070",37,3.0,210,0,false],["app-20220209232634-0070",35,4.3,688894,0,false],["app-20220209232634-0070",36,4.3,566592,113318,false],["app-20220209225845-0026",36,3.0,303,0,false],["app-20220209225845-0026",32,2.9,5690,0,false],["app-20220209225845-0026",31,2.95,1181,0,false],["app-20220209225845-0026",34,3.68,621736,0,false],["app-20220209225845-0026",33,2.9,894,0,false],["app-20220209225845-0026",35,3.9,1106260,0,false],["app-20220209235526-0103",34,3.68,2301205,0,false],["app-20220209235526-0103",31,2.95,1051,0,false],["app-20220209235526-0103",33,2.95,875,0,false],["app-20220209235526-0103",32,2.95,676,0,false],["app-20220209235526-0103",36,4.69,621,0,false],["app-20220209235526-0103",35,2.6,0,0,true],["app-20220209231919-0057",35,3.33,6655624,0,false],["app-20220209231919-0057",36,5.78,9297072,0,false],["app-20220209231919-0057",38,3.0,228,0,false],["app-20220209231919-0057",31,2.9,711,0,false],["app-20220209231919-0057",37,3.9,354848,0,false],["app-20220209231919-0057",34,3.33,134143,0,false],["app-20220209231919-0057",32,2.95,724,0,false],["app-20220209231919-0057",33,2.9,695,0,false],["app-20220209231533-0050",33,3.71,2489960,0,false],["app-20220209231533-0050",34,3.9,765614,0,false],["app-20220209231533-0050",35,3.0,246,0,false],["app-20220209231533-0050",32,2.95,1024,0,false],["app-20220209231533-0050",31,2.95,1096,0,false],["application_1665146417445_0002",4,4.5,233,0,false],["application_1665146417445_0002",3,4.34,2893207,0,false],["application_1665146417445_0002",2,2.6,14571021,7285510,false],["application_1665146417445_0002",1,2.0,51972027,25986013,false],["application_1665146417445_0002",7,4.5,244,0,false],["application_1665146417445_0002",6,3.98,1918109,0,false],["application_1665146417445_0002",5,2.6,4540826,2270413,false],["application_1665146417445_0002",0,1.0,4505,4505,false],["app-20220209230053-0028",40,3.71,4979300,0,false],["app-20220209230053-0028",42,3.94,517898,0,false],["app-20220209230053-0028",38,4.34,53,0,false],["app-20220209230053-0028",44,7.76,730644,0,false],["app-20220209230053-0028",54,3.0,221,0,false],["app-20220209230053-0028",35,3.33,4618718,0,false],["app-20220209230053-0028",36,3.33,59206,0,false],["app-20220209230053-0028",50,7.76,661105,0,false],["app-20220209230053-0028",43,3.33,25052,0,false],["app-20220209230053-0028",37,5.73,8697022,1449502,false],["app-20220209230053-0028",39,2.95,77,0,false],["app-20220209230053-0028",53,2.68,456328,182530,false],["app-20220209230053-0028",45,3.33,34900,0,false],["app-20220209230053-0028",51,8.28,13701110,2997113,false],["app-20220209230053-0028",31,2.95,701,0,false],["app-20220209230053-0028",46,3.37,2366404,0,false],["app-20220209230053-0028",52,8.28,17309649,3786482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App IDStage IDAverage Speedup FactorStage Task DurationUnsupported Task DurationStage Estimated
app-20220209224509-0008312.9511840false
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app-20220209224509-0008353.3723215230false
app-20220209224509-0008413.91726480false
app-20220209224509-0008395.7245868240false
app-20220209224509-0008383.366943370false
app-20220209224509-0008404.266568350false
app-20220209224509-0008373.365241900false
app-20220209224509-0008322.96410false
app-20220209224509-0008362.7370650false
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Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Execs Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["execs_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_execs.csv\")\ndisplay(execs_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"998b0c51-0cb6-408e-a01a-d1f5b1a61e1f","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,30,false,"31",null,null,true],["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,89,false,"39",null,null,true],["app-20220209224509-0008",24,"WholeStageCodegen (15)","WholeStageCodegen 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App IDSQL IDExec NameExpression NameTask Speedup FactorExec DurationSQL Node IdExec Is SupportedExec StagesExec ChildrenExec Children Node IdsExec Should Remove
app-20220209224509-000824ColumnarToRownull1.0030false31nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0089false39nullnulltrue
app-20220209224509-000824WholeStageCodegen (15)WholeStageCodegen (15)8.0423405095true39Sort96false
app-20220209224509-000824Exchangenull4.258497true36:39nullnullfalse
app-20220209224509-00080Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (8)WholeStageCodegen (8)2.92305965true37Project:Filter:ColumnarToRow66:67:68false
app-20220209224509-000824Unionnull3.0085truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (22)WholeStageCodegen (22)4.51883976true40HashAggregate77false
app-20220209224509-000824Projectnull3.0060truenullnullnullfalse
app-20220209224509-000824Exchangenull4.280029104true35:39nullnullfalse
app-20220209224509-000824Projectnull3.0040truenullnullnullfalse
app-20220209224509-000824Projectnull3.0054truenullnullnullfalse
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app-20220209224509-000824Scan parquet null3.0536114true34nullnullfalse
app-20220209224509-000824WholeStageCodegen (6)WholeStageCodegen (6)4.51879889true40HashAggregate10false
app-20220209224509-000824Projectnull3.0056truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173670truenullnullnullfalse
app-20220209224509-000814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.0033truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5077true40nullnullfalse
app-20220209224509-000824Scan parquet null3.0750661109true35nullnullfalse
app-20220209224509-000824HashAggregatenull4.506true40nullnullfalse
app-20220209224509-000824Projectnull3.0087truenullnullnullfalse
app-20220209224509-000810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0035false38nullnulltrue
app-20220209224509-000824BroadcastExchangenull3.0171238truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (5)WholeStageCodegen (5)4.1331502612true38HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin13:14:15:16:17false
app-20220209224509-000824ColumnarToRownull1.00113false34nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0042false31nullnulltrue
app-20220209224509-000822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976027true31Project:Filter:ColumnarToRow28:29:30false
app-20220209224509-00081Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0156771truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0062false37nullnulltrue
app-20220209224509-000824WholeStageCodegen (13)WholeStageCodegen (13)2.91705586true39Project:Filter:ColumnarToRow87:88:89false
app-20220209224509-000824Scan parquet null3.028348true32nullnullfalse
app-20220209224509-000824Sortnull8.00103true39nullnullfalse
app-20220209224509-000823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.00106truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0022false38nullnulltrue
app-20220209224509-000824Unionnull3.008truenullnullnullfalse
app-20220209224509-000812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5010true40nullnullfalse
app-20220209224509-000824Filternull2.8073true33nullnullfalse
app-20220209224509-000824BroadcastExchangenull3.01537110truenullnullnullfalse
app-20220209224509-000824SortMergeJoinnull22.7094true39nullnullfalse
app-20220209224509-000824Projectnull3.0014truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.01736101truenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0112844truenullnullnullfalse
app-20220209224509-000816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8061true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (16)WholeStageCodegen (16)2.91506623105true35Project:Filter:ColumnarToRow106:107:108false
app-20220209224509-000824Filternull2.8034true38nullnullfalse
app-20220209224509-000824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209224509-00085Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (20)WholeStageCodegen (20)2.8540111true34Filter:ColumnarToRow112:113false
app-20220209224509-000824SubqueryBroadcastnull3.0173637truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (14)WholeStageCodegen (14)1.0409098false36ColumnarToRow99false
app-20220209224509-00089Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Scan parquet null3.01245469true37nullnullfalse
app-20220209224509-00086Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0068false37nullnulltrue
app-20220209224509-000824Filternull2.8021true38nullnullfalse
app-20220209224509-000824TakeOrderedAndProjectnull3.001true41:42nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09015true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09057true37nullnullfalse
app-20220209224509-000824Unionnull3.0018truenullnullnullfalse
app-20220209224509-00082Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (7)WholeStageCodegen (7)2.924709959true37Project:Filter:ColumnarToRow60:61:62false
app-20220209224509-00087Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00084Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (21)WholeStageCodegen (21)4.13323042579true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin80:81:82:83:84false
app-20220209224509-000824Exchangenull4.276878true39:40nullnullfalse
app-20220209224509-000824Scan parquet null3.017303523true38nullnullfalse
app-20220209224509-000815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0047false32nullnulltrue
app-20220209224509-000824BroadcastHashJoinnull5.09082true39nullnullfalse
app-20220209224509-000824Projectnull3.0066truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173691truenullnullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09084true39nullnullfalse
app-20220209224509-000824Scan parquet null3.01956236true38nullnullfalse
app-20220209224509-000824Scan parquet null3.051575true33nullnullfalse
app-20220209224509-000824Exchangenull4.22064true40:41nullnullfalse
app-20220209224509-000824Projectnull3.0020truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5013true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09055true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (24)WholeStageCodegen (24)4.5308342true41HashAggregate3false
app-20220209224509-000824Unionnull3.0058truenullnullnullfalse
app-20220209224509-000824Filternull2.8029true31nullnullfalse
app-20220209224509-000824WholeStageCodegen (12)WholeStageCodegen (12)4.53468649true40HashAggregate50false
app-20220209224509-000824HashAggregatenull4.5050true40nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173664truenullnullnullfalse
app-20220209224509-000824Exchangenull4.2442551true37:40nullnullfalse
app-20220209224509-000813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8088true39nullnullfalse
app-20220209224509-000824Filternull2.8046true32nullnullfalse
app-20220209224509-000824Scan parquet null3.074331true31nullnullfalse
app-20220209224509-000824Scan parquet null3.02399100true36nullnullfalse
app-20220209224509-000824WholeStageCodegen (4)WholeStageCodegen (4)2.829145true32Filter:ColumnarToRow46:47false
app-20220209224509-000824Filternull2.8041true31nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09017true38nullnullfalse
app-20220209224509-000824Projectnull3.0093truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (1)WholeStageCodegen (1)2.932567319true38Project:Filter:ColumnarToRow20:21:22false
app-20220209224509-000824Expandnull3.007true40nullnullfalse
app-20220209224509-000824Exchangenull4.2617911true38:40nullnullfalse
app-20220209224509-000824Projectnull3.0028truenullnullnullfalse
app-20220209224509-000824Projectnull3.0016truenullnullnullfalse
app-20220209224509-000824Filternull2.8067true37nullnullfalse
app-20220209224509-000824ColumnarToRownull1.00108false35nullnulltrue
app-20220209224509-000824Filternull2.80107true35nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173624truenullnullnullfalse
app-20220209224509-000824Filternull2.80112true34nullnullfalse
app-20220209224509-000824Projectnull3.0083truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (11)WholeStageCodegen (11)4.1323510952true37HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin53:54:55:56:57false
app-20220209224509-000824Scan parquet null3.013214963true37nullnullfalse
app-20220209224509-000820Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00083Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000818Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976039true31Project:Filter:ColumnarToRow40:41:42false
app-20220209224509-000824ColumnarToRownull1.0099false36nullnulltrue
app-20220209224509-00088Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (10)WholeStageCodegen (10)2.853872true33Filter:ColumnarToRow73:74false
app-20220209224509-000824WholeStageCodegen (2)WholeStageCodegen (2)2.93627532true38Project:Filter:ColumnarToRow33:34:35false
app-20220209224509-000824HashAggregatenull4.5053true37nullnullfalse
app-20220209224509-000824HashAggregatenull4.503true41nullnullfalse
app-20220209224509-000821Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (23)WholeStageCodegen (23)3.752011495true40HashAggregate:Expand6:7false
app-20220209224509-000824BroadcastExchangenull3.0171226truenullnullnullfalse
app-20220209224509-000811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (18)WholeStageCodegen (18)12.85337652992true39Project:SortMergeJoin93:94false
app-20220209224509-000824WholeStageCodegen (17)WholeStageCodegen (17)8.00102true39Sort103false
app-20220209224509-000824HashAggregatenull4.5080true39nullnullfalse
app-20220209224509-000824ReusedExchangenull1.0025falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0074false33nullnulltrue
app-20220209224509-000824Scan parquet null3.0864890true39nullnullfalse
app-20220209224509-000824Sortnull8.0096true39nullnullfalse
app-20220209224509-000824Scan parquet null3.074343true31nullnullfalse
app-20220209235114-009724Projectnull3.0035truenullnullnullfalse
app-20220209235114-009724Filternull2.8052true36nullnullfalse
app-20220209235114-009724Projectnull3.0049truenullnullnullfalse
app-20220209235114-009724Projectnull3.0023truenullnullnullfalse
app-20220209235114-009717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09016true35nullnullfalse
app-20220209235114-009724Projectnull3.0013truenullnullnullfalse
app-20220209235114-00979Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.091360520true35nullnullfalse
app-20220209235114-009724Exchangenull4.296942true36:38nullnullfalse
app-20220209235114-009724Scan parquet null3.051138true33nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09046true36nullnullfalse
app-20220209235114-009724Projectnull3.0015truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (6)WholeStageCodegen (6)3.8441805343true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow44:45:46:47:48:49:50:51:52:53false
app-20220209235114-009724HashAggregatenull4.507true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0140155truenullnullnullfalse
app-20220209235114-009724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235114-009721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0017truenullnullnullfalse
app-20220209235114-009724Projectnull3.0057truenullnullnullfalse
app-20220209235114-009714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0047truenullnullnullfalse
app-20220209235114-00973Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (8)WholeStageCodegen (8)4.51726true40HashAggregate7false
app-20220209235114-00978Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724TakeOrderedAndProjectnull3.002true40:41nullnullfalse
app-20220209235114-009724Filternull2.8036true33nullnullfalse
app-20220209235114-009724HashAggregatenull4.5044true36nullnullfalse
app-20220209235114-009724Scan parquet null3.050860true34nullnullfalse
app-20220209235114-009724WholeStageCodegen (7)WholeStageCodegen (7)4.54240true38HashAggregate41false
app-20220209235114-009724Projectnull3.004truenullnullnullfalse
app-20220209235114-009713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (5)WholeStageCodegen (5)3.8414436929true35HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow10:11:12:13:14:15:16:17:18:19false
app-20220209235114-009723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0045truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (1)WholeStageCodegen (1)2.951922true31Project:Filter:ColumnarToRow23:24:25false
app-20220209235114-009724Projectnull3.0011truenullnullnullfalse
app-20220209235114-009724Filternull2.8024true31nullnullfalse
app-20220209235114-009724AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0031false32nullnulltrue
app-20220209235114-009724BroadcastHashJoinnull5.09014true35nullnullfalse
app-20220209235114-009724WholeStageCodegen (3)WholeStageCodegen (3)2.951534true33Project:Filter:ColumnarToRow35:36:37false
app-20220209235114-009724HashAggregatenull4.5041true38nullnullfalse
app-20220209235114-00974Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0029truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (9)WholeStageCodegen (9)3.0963true40Project4false
app-20220209235114-00977Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8058true34nullnullfalse
app-20220209235114-009715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00971Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09050true36nullnullfalse
app-20220209235114-009719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00975Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09048true36nullnullfalse
app-20220209235114-009724BroadcastNestedLoopJoinnull3.005true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0133133truenullnullnullfalse
app-20220209235114-009724Exchangenull4.225398true35:40nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09012true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0019false35nullnulltrue
app-20220209235114-009724Scan parquet null3.029832true32nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0149021truenullnullnullfalse
app-20220209235114-009711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00970Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0117527truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0037false33nullnulltrue
app-20220209235114-009724Projectnull3.0051truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0053false36nullnulltrue
app-20220209235114-009724Scan parquet null3.051226true31nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0059false34nullnulltrue
app-20220209235114-009724WholeStageCodegen (4)WholeStageCodegen (4)2.953256true34Project:Filter:ColumnarToRow57:58:59false
app-20220209235114-009718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8030true32nullnullfalse
app-20220209235114-00972Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.018709354true36nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.031539truenullnullnullfalse
app-20220209235114-00976Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (2)WholeStageCodegen (2)2.931728true32Project:Filter:ColumnarToRow29:30:31false
app-20220209235114-009724Filternull2.8018true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0025false31nullnulltrue
app-20220209235114-009724HashAggregatenull4.5010true35nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170449truenullnullnullfalse
app-20220209230506-003124Exchangenull4.294true39:40nullnullfalse
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963570true31Project:Filter:ColumnarToRow71:72:73false
app-20220209230506-003124WholeStageCodegen (13)WholeStageCodegen (13)2.8451381true32Filter:ColumnarToRow82:83false
app-20220209230506-003111Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.009truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170469truenullnullnullfalse
app-20220209230506-003124Projectnull3.0023truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (8)WholeStageCodegen (8)8.03521355true39Sort56false
app-20220209230506-003124WholeStageCodegen (7)WholeStageCodegen (7)2.888475758true37Filter:ColumnarToRow59:60false
app-20220209230506-003118Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2611942true36:38nullnullfalse
app-20220209230506-003113Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (12)WholeStageCodegen (12)2.881776true33Filter:ColumnarToRow77:78false
app-20220209230506-003124Filternull2.8052true31nullnullfalse
app-20220209230506-003124WholeStageCodegen (15)WholeStageCodegen (15)4.5334762true40HashAggregate3false
app-20220209230506-003124WholeStageCodegen (3)WholeStageCodegen (3)2.814564643true36Filter:ColumnarToRow44:45false
app-20220209230506-003124HashAggregatenull4.503true40nullnullfalse
app-20220209230506-003124Filternull2.8077true33nullnullfalse
app-20220209230506-003124Sortnull8.0020true39nullnullfalse
app-20220209230506-003124Projectnull3.0036truenullnullnullfalse
app-20220209230506-003124Sortnull8.0026true38nullnullfalse
app-20220209230506-003122Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0053false31nullnulltrue
app-20220209230506-003124Projectnull3.0015truenullnullnullfalse
app-20220209230506-003120Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.05912746true36nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7018true39nullnullfalse
app-20220209230506-003124Filternull2.8029true35nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0073false31nullnulltrue
app-20220209230506-003112Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0083false32nullnulltrue
app-20220209230506-00319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (6)WholeStageCodegen (6)8.0167505819true39Sort20false
app-20220209230506-003124BroadcastHashJoinnull5.09016true39nullnullfalse
app-20220209230506-00316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003117Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-00318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003121Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230506-003124Projectnull3.0051truenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.0908true39nullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09010true39nullnullfalse
app-20220209230506-003115Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8037true34nullnullfalse
app-20220209230506-003124Scan parquet null3.061074true31nullnullfalse
app-20220209230506-003116Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.0426884true32nullnullfalse
app-20220209230506-003110Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003119Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.061054true31nullnullfalse
app-20220209230506-003124Scan parquet null3.055986561true37nullnullfalse
app-20220209230506-003124Exchangenull4.2769727true35:38nullnullfalse
app-20220209230506-003124Projectnull3.0011truenullnullnullfalse
app-20220209230506-003124Sortnull8.0056true39nullnullfalse
app-20220209230506-00312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09014true39nullnullfalse
app-20220209230506-00311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963764true34Project:Filter:ColumnarToRow65:66:67false
app-20220209230506-003124ColumnarToRownull1.0038false34nullnulltrue
app-20220209230506-003124ColumnarToRownull1.0030false35nullnulltrue
app-20220209230506-003124Exchangenull4.2496057true37:39nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7024true38nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0246280truenullnullnullfalse
app-20220209230506-003124Filternull2.8059true37nullnullfalse
app-20220209230506-003124WholeStageCodegen (4)WholeStageCodegen (4)8.096863440true38Sort41false
app-20220209230506-003124BroadcastHashJoinnull5.09012true39nullnullfalse
app-20220209230506-00310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8044true36nullnullfalse
app-20220209230506-00317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124HashAggregatenull4.506true39nullnullfalse
app-20220209230506-00314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0017truenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0067false34nullnulltrue
app-20220209230506-003124Scan parquet null3.061868true34nullnullfalse
app-20220209230506-003124WholeStageCodegen (5)WholeStageCodegen (5)12.85158104722true38Project:SortMergeJoin23:24false
app-20220209230506-003124Scan parquet null3.02823131true35nullnullfalse
app-20220209230506-003124Filternull2.8072true31nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0045false36nullnulltrue
app-20220209230506-00313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0071truenullnullnullfalse
app-20220209230506-003124Projectnull3.007truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (14)WholeStageCodegen (14)5.4412225455true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14:15:16:17:18false
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963550true31Project:Filter:ColumnarToRow51:52:53false
app-20220209230506-003124Scan parquet null3.061839true34nullnullfalse
app-20220209230506-003124Filternull2.8082true32nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0169675truenullnullnullfalse
app-20220209230506-003124Scan parquet null3.080779true33nullnullfalse
app-20220209230506-003124SubqueryBroadcastnull3.0171047truenullnullnullfalse
app-20220209230506-003124Projectnull3.0013truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0166134truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (2)WholeStageCodegen (2)8.0104414825true38Sort26false
app-20220209230506-003124BroadcastExchangenull3.0166163truenullnullnullfalse
app-20220209230506-003123Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963735true34Project:Filter:ColumnarToRow36:37:38false
app-20220209230506-003124SubqueryBroadcastnull3.0171062truenullnullnullfalse
app-20220209230506-003124Projectnull3.0065truenullnullnullfalse
app-20220209230506-003124TakeOrderedAndProjectnull3.001true40:41nullnullfalse
app-20220209230506-003124Filternull2.8066true34nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0060false37nullnulltrue
app-20220209230506-003124ReusedExchangenull1.0033falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2997321true38:39nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0078false33nullnulltrue
app-20220209230506-003124SubqueryBroadcastnull3.0168032truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (1)WholeStageCodegen (1)2.86176328true35Filter:ColumnarToRow29:30false
app-20220209230506-003114Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Sortnull8.0041true38nullnullfalse
app-20220209230506-00315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ReusedExchangenull1.0048falsenullnullnullfalse
app-20220209232634-007024Windownull3.005truenullnullnullfalse
app-20220209232634-007024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5010true35nullnullfalse
app-20220209232634-00705Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0022truenullnullnullfalse
app-20220209232634-00707Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00702Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Scan parquet null3.029742true33nullnullfalse
app-20220209232634-007024Scan parquet null3.049647true32nullnullfalse
app-20220209232634-007014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00701Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00703Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (5)WholeStageCodegen (5)4.51701719true35HashAggregate10false
app-20220209232634-007024Filternull2.8026true34nullnullfalse
app-20220209232634-007024Sortnull8.007true36nullnullfalse
app-20220209232634-007024ColumnarToRownull1.0035false33nullnulltrue
app-20220209232634-007020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0039truenullnullnullfalse
app-20220209232634-007024Projectnull3.0033truenullnullnullfalse
app-20220209232634-007016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0046false32nullnulltrue
app-20220209232634-007024WholeStageCodegen (4)WholeStageCodegen (4)3.95123396612true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow13:14:15:16:17:18:19:26:27false
app-20220209232634-007024Exchangenull4.28426111true34:35nullnullfalse
app-20220209232634-00708Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (1)WholeStageCodegen (1)2.9304421true31Project:Filter:ColumnarToRow22:23:24false
app-20220209232634-007024BroadcastExchangenull3.0146043truenullnullnullfalse
app-20220209232634-007024SubqueryBroadcastnull3.0112129truenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (3)WholeStageCodegen (3)2.850244true32Filter:ColumnarToRow45:46false
app-20220209232634-007024WholeStageCodegen (6)WholeStageCodegen (6)8.01345746true36Sort7false
app-20220209232634-007010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0111031truenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09017true34nullnullfalse
app-20220209232634-007012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0041false33nullnulltrue
app-20220209232634-007024TakeOrderedAndProjectnull3.001true36:37nullnullfalse
app-20220209232634-007024Filternull2.8040true33nullnullfalse
app-20220209232634-00704Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Exchangenull4.2328true35:36nullnullfalse
app-20220209232634-007024Projectnull3.003truenullnullnullfalse
app-20220209232634-007021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00709Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931638true33Project:Filter:ColumnarToRow39:40:41false
app-20220209232634-007024ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09015true34nullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09019true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931632true33Project:Filter:ColumnarToRow33:34:35false
app-20220209232634-007024Filternull2.8023true31nullnullfalse
app-20220209232634-007022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0027false34nullnulltrue
app-20220209232634-007024Scan parquet null3.029736true33nullnullfalse
app-20220209232634-007024Filternull2.8045true32nullnullfalse
app-20220209232634-007024Projectnull3.0016truenullnullnullfalse
app-20220209232634-007017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0172620truenullnullnullfalse
app-20220209232634-007018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0024false31nullnulltrue
app-20220209232634-007024Projectnull3.0014truenullnullnullfalse
app-20220209232634-00706Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0018truenullnullnullfalse
app-20220209232634-007024Filternull1.004false36nullnullfalse
app-20220209232634-007024Scan parquet null3.065125328true34nullnullfalse
app-20220209232634-007011Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00700Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5013true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (7)WholeStageCodegen (7)2.056212true36Project:Filter3:4false
app-20220209232634-007024BroadcastExchangenull3.0111037truenullnullnullfalse
app-20220209232634-007024Scan parquet null3.0291325true31nullnullfalse
app-20220209232634-007024Filternull2.8034true33nullnullfalse
app-20220209232634-007023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00262Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (3)WholeStageCodegen (3)2.846537true33Filter:ColumnarToRow38:39false
app-20220209225845-002624SubqueryBroadcastnull3.0160817truenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09013true34nullnullfalse
app-20220209225845-002617Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Exchangenull4.242414true34:35nullnullfalse
app-20220209225845-002624ColumnarToRownull1.0039false33nullnulltrue
app-20220209225845-002614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068724true31nullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09011true34nullnullfalse
app-20220209225845-002613Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002622Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.07024716true34nullnullfalse
app-20220209225845-002624Projectnull3.008truenullnullnullfalse
app-20220209225845-00268Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002610Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (4)WholeStageCodegen (4)3.844430465true34HashAggregate:Expand:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:11:12:13:14:15false
app-20220209225845-002624Projectnull3.0010truenullnullnullfalse
app-20220209225845-002624HashAggregatenull4.506true34nullnullfalse
app-20220209225845-002624Filternull2.8028true31nullnullfalse
app-20220209225845-00266Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Projectnull3.0012truenullnullnullfalse
app-20220209225845-00263Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Filternull2.8038true33nullnullfalse
app-20220209225845-002624Projectnull3.0021truenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (2)WholeStageCodegen (2)2.8254432true32Filter:ColumnarToRow33:34false
app-20220209225845-002624Filternull2.8014true34nullnullfalse
app-20220209225845-00267Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00265Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00269Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.0909true34nullnullfalse
app-20220209225845-002623Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0029false31nullnulltrue
app-20220209225845-002619Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068730true31nullnullfalse
app-20220209225845-002624Scan parquet null3.0232935true32nullnullfalse
app-20220209225845-002624ReusedExchangenull1.0018falsenullnullnullfalse
app-20220209225845-002618Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Expandnull3.007true34nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158719truenullnullnullfalse
app-20220209225845-002620Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0132636truenullnullnullfalse
app-20220209225845-002624Filternull2.8022true31nullnullfalse
app-20220209225845-002624Projectnull3.0027truenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0023false31nullnulltrue
app-20220209225845-002624Filternull2.8033true32nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158725truenullnullnullfalse
app-20220209225845-002624TakeOrderedAndProjectnull3.001true35:36nullnullfalse
app-20220209225845-002624HashAggregatenull4.503true35nullnullfalse
app-20220209225845-002621Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0034false32nullnulltrue
app-20220209225845-00261Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (5)WholeStageCodegen (5)4.54723102true35HashAggregate3false
app-20220209225845-002624BroadcastExchangenull3.0190531truenullnullnullfalse
app-20220209225845-002615Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002612Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00260Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970726true31Project:Filter:ColumnarToRow27:28:29false
app-20220209225845-002624ColumnarToRownull1.0015false34nullnulltrue
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970720true31Project:Filter:ColumnarToRow21:22:23false
app-20220209225845-002624Scan parquet null3.046240true33nullnullfalse
app-20220209225845-002624Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209225845-00264Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01031Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (5)WholeStageCodegen (5)5.172152true36Project:Sort:HashAggregate3:4:5false
app-20220209235526-010319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09010true34nullnullfalse
app-20220209235526-010310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01039Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01030Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01033Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0011truenullnullnullfalse
app-20220209235526-01036Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.009truenullnullnullfalse
app-20220209235526-01037Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09012true34nullnullfalse
app-20220209235526-010324ColumnarToRownull1.0035false31nullnulltrue
app-20220209235526-010324BroadcastExchangenull3.0130719truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0023false33nullnulltrue
app-20220209235526-01034Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0017false34nullnulltrue
app-20220209235526-010322Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.0105143618true34nullnullfalse
app-20220209235526-010315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0027truenullnullnullfalse
app-20220209235526-010324HashAggregatenull4.508true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0147031truenullnullnullfalse
app-20220209235526-010316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.060536true31nullnullfalse
app-20220209235526-010324Filternull2.8016true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0114625truenullnullnullfalse
app-20220209235526-01032Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.028330true32nullnullfalse
app-20220209235526-010321Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0021truenullnullnullfalse
app-20220209235526-010324Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0029false32nullnulltrue
app-20220209235526-010318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0015truenullnullnullfalse
app-20220209235526-010324Filternull2.8034true31nullnullfalse
app-20220209235526-010324Filternull2.8028true32nullnullfalse
app-20220209235526-010311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010323Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235526-010324Sortnull8.004true36nullnullfalse
app-20220209235526-010317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010320Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09014true34nullnullfalse
app-20220209235526-010324Scan parquet null3.049224true33nullnullfalse
app-20220209235526-010324WholeStageCodegen (1)WholeStageCodegen (1)2.949820true33Project:Filter:ColumnarToRow21:22:23false
app-20220209235526-010324WholeStageCodegen (4)WholeStageCodegen (4)3.8415773287true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow8:9:10:11:12:13:14:15:16:17false
app-20220209235526-010324Projectnull3.0013truenullnullnullfalse
app-20220209235526-010324Projectnull3.0033truenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (2)WholeStageCodegen (2)2.930326true32Project:Filter:ColumnarToRow27:28:29false
app-20220209235526-01035Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Filternull2.8022true33nullnullfalse
app-20220209235526-010324HashAggregatenull4.505true36nullnullfalse
app-20220209235526-010324WholeStageCodegen (3)WholeStageCodegen (3)2.961032true31Project:Filter:ColumnarToRow33:34:35false
app-20220209235526-01038Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Exchangenull4.222986true34:36nullnullfalse
app-20220209235526-010324Projectnull3.003truenullnullnullfalse
app-20220209231919-005716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00579Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231919-005724Exchangenull4.251124true34:36nullnullfalse
app-20220209231919-005714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.029836true32nullnullfalse
app-20220209231919-005724Projectnull3.0033truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (4)WholeStageCodegen (4)8.01353893522true36Sort23false
app-20220209231919-00570Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8019true35nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931648true32Project:Filter:ColumnarToRow49:50:51false
app-20220209231919-00574Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8044true31nullnullfalse
app-20220209231919-005724Scan parquet null3.028546true31nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0045false31nullnulltrue
app-20220209231919-005724BroadcastExchangenull3.0120831truenullnullnullfalse
app-20220209231919-00573Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724SortMergeJoinnull22.7014true36nullnullfalse
app-20220209231919-005724Projectnull3.0013truenullnullnullfalse
app-20220209231919-005717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8034true32nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0040false33nullnulltrue
app-20220209231919-005724Exchangenull4.214647617true35:36nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0027false34nullnulltrue
app-20220209231919-005724Scan parquet null3.029852true32nullnullfalse
app-20220209231919-005724SubqueryBroadcastnull3.0123429truenullnullnullfalse
app-20220209231919-00571Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (8)WholeStageCodegen (8)6.0675557345true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14false
app-20220209231919-005721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Projectnull3.009truenullnullnullfalse
app-20220209231919-005724Filternull2.8026true34nullnullfalse
app-20220209231919-005713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (3)WholeStageCodegen (3)2.87635225true34Filter:ColumnarToRow26:27false
app-20220209231919-00577Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724TakeOrderedAndProjectnull3.001true37:38nullnullfalse
app-20220209231919-005724Filternull2.8039true33nullnullfalse
app-20220209231919-005724Projectnull3.0011truenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0035false32nullnulltrue
app-20220209231919-005724Scan parquet null3.028941true33nullnullfalse
app-20220209231919-005724Exchangenull4.214924true36:37nullnullfalse
app-20220209231919-005718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.503true37nullnullfalse
app-20220209231919-00575Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (6)WholeStageCodegen (6)2.831343true31Filter:ColumnarToRow44:45false
app-20220209231919-005724WholeStageCodegen (2)WholeStageCodegen (2)8.02180315true36Sort16false
app-20220209231919-005711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (5)WholeStageCodegen (5)2.830238true33Filter:ColumnarToRow39:40false
app-20220209231919-005724ColumnarToRownull1.0020false35nullnulltrue
app-20220209231919-005724Sortnull8.0016true36nullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09010true36nullnullfalse
app-20220209231919-005723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.04765328true34nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0120847truenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.506true36nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0121437truenullnullnullfalse
app-20220209231919-005724Scan parquet null3.0147268121true35nullnullfalse
app-20220209231919-005724Sortnull8.0023true36nullnullfalse
app-20220209231919-005724ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09012true36nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931632true32Project:Filter:ColumnarToRow33:34:35false
app-20220209231919-00576Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0051false32nullnulltrue
app-20220209231919-005724BroadcastHashJoinnull5.0908true36nullnullfalse
app-20220209231919-005724Projectnull3.0049truenullnullnullfalse
app-20220209231919-005722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00572Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0125842truenullnullnullfalse
app-20220209231919-005724Projectnull3.007truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (9)WholeStageCodegen (9)4.5841222true37HashAggregate3false
app-20220209231919-00578Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8050true32nullnullfalse
app-20220209231919-005720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (1)WholeStageCodegen (1)2.8441400118true35Filter:ColumnarToRow19:20false
app-20220209231533-00509Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8014true32nullnullfalse
app-20220209231533-005024WholeStageCodegen (4)WholeStageCodegen (4)4.5804502true34HashAggregate3false
app-20220209231533-005024BroadcastHashJoinnull5.09010true33nullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0143211truenullnullnullfalse
app-20220209231533-005024SubqueryBroadcastnull3.0144220truenullnullnullfalse
app-20220209231533-005018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0146121truenullnullnullfalse
app-20220209231533-005024Projectnull3.0023truenullnullnullfalse
app-20220209231533-00507Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8017true33nullnullfalse
app-20220209231533-005014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8024true31nullnullfalse
app-20220209231533-005024HashAggregatenull4.506true33nullnullfalse
app-20220209231533-00502Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0025false31nullnulltrue
app-20220209231533-00506Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.054616true32nullnullfalse
app-20220209231533-005010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.072029019true33nullnullfalse
app-20220209231533-005024WholeStageCodegen (2)WholeStageCodegen (2)2.966122true31Project:Filter:ColumnarToRow23:24:25false
app-20220209231533-005017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024HashAggregatenull4.503true34nullnullfalse
app-20220209231533-005024TakeOrderedAndProjectnull3.001true34:35nullnullfalse
app-20220209231533-005019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0018false33nullnulltrue
app-20220209231533-005024BroadcastHashJoinnull5.0908true33nullnullfalse
app-20220209231533-005013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Projectnull3.0013truenullnullnullfalse
app-20220209231533-005021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0015false32nullnulltrue
app-20220209231533-00508Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.065226true31nullnullfalse
app-20220209231533-005024WholeStageCodegen (3)WholeStageCodegen (3)3.9214097295true33HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:17:18false
app-20220209231533-005024Projectnull3.009truenullnullnullfalse
app-20220209231533-00504Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00501Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00500Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00505Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024WholeStageCodegen (1)WholeStageCodegen (1)2.956612true32Project:Filter:ColumnarToRow13:14:15false
app-20220209231533-00503Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231533-005024Projectnull3.007truenullnullnullfalse
app-20220209231533-005024Exchangenull4.2115424true33:34nullnullfalse
app-20220209231533-005011Execute CreateViewCommandnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen3.7503true6HashAggregate:Project4:5false
application_1665146417445_00020CollectLimitnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen4.500true7HashAggregate1false
application_1665146417445_00021Projectnull3.001truenullnullnullfalse
application_1665146417445_00020WholeStageCodegenWholeStageCodegen3.001truenullProject2false
application_1665146417445_00021WholeStageCodegenWholeStageCodegen3.000true1Project1false
application_1665146417445_00023Exchangenull4.206true5nullnullfalse
application_1665146417445_00022HashAggregatenull4.501true4nullnullfalse
application_1665146417445_00022HashAggregatenull4.506true3nullnullfalse
application_1665146417445_00022HashAggregatenull4.504true3nullnullfalse
application_1665146417445_00021Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_mapnull1.002false1nullnullfalse
application_1665146417445_00022Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.008false2nullnullfalse
application_1665146417445_00020Projectnull3.002truenullnullnullfalse
application_1665146417445_00023HashAggregatenull4.504true6nullnullfalse
application_1665146417445_00023HashAggregatenull4.501true7nullnullfalse
application_1665146417445_00023Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.007false5nullnullfalse
application_1665146417445_00022HashAggregatenull4.505true3nullnullfalse
application_1665146417445_00020Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.003false0nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.500true4HashAggregate1false
application_1665146417445_00023Projectnull3.005truenullnullnullfalse
application_1665146417445_00022Exchangenull4.202true3nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.503true3HashAggregate:HashAggregate:HashAggregate4:5:6false
application_1665146417445_00022Exchangenull4.207true2nullnullfalse
application_1665146417445_00023Exchangenull4.202true6nullnullfalse
app-20220209230053-002824Exchangenull4.23630436true49:50nullnullfalse
app-20220209230053-002824Exchangenull4.2164896true37:38nullnullfalse
app-20220209230053-002824WholeStageCodegen (35)WholeStageCodegen (35)8.09740356227true52Sort228false
app-20220209230053-002824Projectnull3.00155truenullnullnullfalse
app-20220209230053-00284Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00204truenullnullnullfalse
app-20220209230053-002824Projectnull3.00143truenullnullnullfalse
app-20220209230053-002824Projectnull3.0072truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.4333255637true49Project:Filter:HashAggregate38:39:40false
app-20220209230053-002824WholeStageCodegen (32)WholeStageCodegen (32)3.0334418172true44Project173false
app-20220209230053-002824SubqueryBroadcastnull3.0160551truenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5043true47nullnullfalse
app-20220209230053-002824Projectnull3.0030truenullnullnullfalse
app-20220209230053-00287Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0017truenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0108202truenullnullnullfalse
app-20220209230053-002815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00283Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.08779181true41nullnullfalse
app-20220209230053-002824Filternull2.8062true33nullnullfalse
app-20220209230053-002824HashAggregatenull1.00224false52nullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.057073819true50Sort20false
app-20220209230053-002824Projectnull3.00225truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00223false52nullnullfalse
app-20220209230053-002824Exchangenull4.2309177true41:44nullnullfalse
app-20220209230053-002824TakeOrderedAndProjectnull3.001true53:54nullnullfalse
app-20220209230053-002824WholeStageCodegen (15)WholeStageCodegen (15)2.821724137true45Filter:ColumnarToRow138:139false
app-20220209230053-002824SortMergeJoinnull22.7012true51nullnullfalse
app-20220209230053-002824WholeStageCodegen (23)WholeStageCodegen (23)6.96293476true51HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin7:8:9:10:11false
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.82258215true32Filter:ColumnarToRow216:217false
app-20220209230053-002824SortMergeJoinnull22.70241true52nullnullfalse
app-20220209230053-002824Sortnull8.00228true52nullnullfalse
app-20220209230053-002824Projectnull3.00236truenullnullnullfalse
app-20220209230053-002824Filternull2.80189true42nullnullfalse
app-20220209230053-002824Scan parquet null3.028733true31nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00157false31nullnulltrue
app-20220209230053-002824HashAggregatenull4.50193true40nullnullfalse
app-20220209230053-002824Projectnull3.0046truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.81533322true48Filter:ColumnarToRow23:24false
app-20220209230053-00286Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (42)WholeStageCodegen (42)8.07107509242true52Sort243false
app-20220209230053-002824Sortnull8.00233true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0049false47nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)8.07271900120true37Sort121false
app-20220209230053-002824Filternull2.8048true47nullnullfalse
app-20220209230053-002824Exchangenull4.2836815true50:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01206127truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (26)WholeStageCodegen (26)8.0616179175true44Sort176false
app-20220209230053-002824HashAggregatenull1.00163false52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00239false52nullnullfalse
app-20220209230053-002824Sortnull8.00235true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (21)WholeStageCodegen (21)5.671192790141true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin142:143:144:145:146:147:148false
app-20220209230053-002824SortMergeJoinnull22.70226true52nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70104true37nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00118false34nullnulltrue
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954860true33Project:Filter:ColumnarToRow61:62:63false
app-20220209230053-002824BroadcastHashJoinnull5.090165true52nullnullfalse
app-20220209230053-002824Filternull2.8067true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0115228truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00146false51nullnullfalse
app-20220209230053-002824Sortnull8.0020true50nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.948203true39Project:Filter:ColumnarToRow204:205:206false
app-20220209230053-002824Exchangenull4.21065true51:53nullnullfalse
app-20220209230053-002824Exchangenull4.26954171true44:52nullnullfalse
app-20220209230053-002824Scan parquet null3.0203869true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01925214truenullnullnullfalse
app-20220209230053-002824Projectnull3.00173truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (47)WholeStageCodegen (47)6.9658082162true52HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin163:164:165:166:167false
app-20220209230053-002824WholeStageCodegen (13)WholeStageCodegen (13)8.0768468986true51Sort87false
app-20220209230053-002824Sortnull8.00176true44nullnullfalse
app-20220209230053-002811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.50190true42nullnullfalse
app-20220209230053-002824Sortnull8.00152true51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159653truenullnullnullfalse
app-20220209230053-002824Projectnull3.0055truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.924787686192true40HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow193:194:195:196:197:198:199false
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341115true34Project:Filter:ColumnarToRow116:117:118false
app-20220209230053-002824Projectnull3.00221truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (38)WholeStageCodegen (38)5.6715748975219true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin220:221:222:223:224:225:226false
app-20220209230053-00282Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00289Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70167true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (10)WholeStageCodegen (10)2.9162909081true46Project:Filter:ColumnarToRow82:83:84false
app-20220209230053-002824Filternull2.8031true31nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70133true51nullnullfalse
app-20220209230053-00288Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.02038218true32nullnullfalse
app-20220209230053-002824WholeStageCodegen (8)WholeStageCodegen (8)3.031701316true50Project17false
app-20220209230053-002810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090102true37nullnullfalse
app-20220209230053-002824Unionnull3.002truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (45)WholeStageCodegen (45)5.67579620234true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin235:236:237:238:239:240:241false
app-20220209230053-002824HashAggregatenull4.5095true38nullnullfalse
app-20220209230053-002824Sortnull8.00230true52nullnullfalse
app-20220209230053-002824Exchangenull4.257306107true35:37nullnullfalse
app-20220209230053-00281Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01152153truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.0075false51nullnullfalse
app-20220209230053-002824Scan parquet null3.052564true33nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70231true52nullnullfalse
app-20220209230053-002824Sortnull8.00142true51nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00212false33nullnulltrue
app-20220209230053-002824BroadcastExchangenull3.01596208truenullnullnullfalse
app-20220209230053-002824Projectnull3.00210truenullnullnullfalse
app-20220209230053-002824ColumnarToRownull1.0091false43nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.8225866true32Filter:ColumnarToRow67:68false
app-20220209230053-002824Filternull2.80179true41nullnullfalse
app-20220209230053-002824Sortnull8.0079true51nullnullfalse
app-20220209230053-002824Scan parquet null3.01128383111true35nullnullfalse
app-20220209230053-002824Filternull1.0073false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341128true34Project:Filter:ColumnarToRow129:130:131false
app-20220209230053-002824Sortnull8.00245true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0024false48nullnulltrue
app-20220209230053-002824BroadcastHashJoinnull5.090195true40nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.7018true50nullnullfalse
app-20220209230053-002824HashAggregatenull1.004false53nullnullfalse
app-20220209230053-002824Projectnull3.00196truenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.01212112truenullnullnullfalse
app-20220209230053-002824Filternull1.00144false51nullnullfalse
app-20220209230053-002823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.2374136true45:52:51nullnullfalse
app-20220209230053-002817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5098true37nullnullfalse
app-20220209230053-002824Filternull2.80216true32nullnullfalse
app-20220209230053-002824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230053-002824Exchangenull4.27422580true46:52:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159659truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (7)WholeStageCodegen (7)8.026532234true50Sort35false
app-20220209230053-002824Exchangenull4.264161true52:53nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0084false46nullnulltrue
app-20220209230053-002824Projectnull3.00166truenullnullnullfalse
app-20220209230053-002824Filternull2.80138true45nullnullfalse
app-20220209230053-002824Projectnull3.0076truenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70148true51nullnullfalse
app-20220209230053-002824Exchangenull4.236854186true42:44nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.83141204108true35Filter:ColumnarToRow109:110false
app-20220209230053-002813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70168true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (11)WholeStageCodegen (11)8.0773691078true51Sort79false
app-20220209230053-002824ReusedExchangenull1.0027falsenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.0118326truenullnullnullfalse
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app-20220209230053-002824Scan parquet null3.0525213true33nullnullfalse
app-20220209230053-002824WholeStageCodegen (48)WholeStageCodegen (48)1.03979159false53HashAggregate160false
app-20220209230053-002824Sortnull8.00106true37nullnullfalse
app-20220209230053-002824Filternull2.80205true39nullnullfalse
app-20220209230053-002824Projectnull3.008truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.007false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (14)WholeStageCodegen (14)5.671308543670true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin71:72:73:74:75:76:77false
app-20220209230053-002824HashAggregatenull1.00145false51nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.00110false35nullnulltrue
app-20220209230053-002824WholeStageCodegen (33)WholeStageCodegen (33)8.01156186169true52Sort170false
app-20220209230053-002824Exchangenull4.23485041true47:49nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0032false31nullnulltrue
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app-20220209230053-002824SubqueryBroadcastnull3.01183182truenullnullnullfalse
app-20220209230053-002824Sortnull8.00170true52nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.00180false41nullnulltrue
app-20220209230053-002824HashAggregatenull4.5040true49nullnullfalse
app-20220209230053-002824Scan parquet null3.07319350true47nullnullfalse
app-20220209230053-002824WholeStageCodegen (40)WholeStageCodegen (40)8.00232true52Sort233false
app-20220209230053-002816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.80198true40nullnullfalse
app-20220209230053-002824Scan parquet null3.0736225true48nullnullfalse
app-20220209230053-002824Projectnull3.00240truenullnullnullfalse
app-20220209230053-002824Filternull2.80211true33nullnullfalse
app-20220209230053-002824Sortnull8.00121true37nullnullfalse
app-20220209230053-002824WholeStageCodegen (18)WholeStageCodegen (18)8.05641193149true51Sort150false
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app-20220209230053-002824WholeStageCodegen (22)WholeStageCodegen (22)2.9305154true31Project:Filter:ColumnarToRow155:156:157false
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app-20220209230053-002814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (9)WholeStageCodegen (9)8.031903113true51Sort14false
app-20220209230053-002824Sortnull8.0035true50nullnullfalse
app-20220209230053-002824Sortnull8.0087true51nullnullfalse
app-20220209230053-002824HashAggregatenull1.0099false37nullnullfalse
app-20220209230053-002824Scan parquet null3.0972392true43nullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)5.76707748097true37HashAggregate:HashAggregate:HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin98:99:100:101:102:103:104false
app-20220209230053-002824WholeStageCodegen (22)WholeStageCodegen (22)2.930529true31Project:Filter:ColumnarToRow30:31:32false
app-20220209230053-002824BroadcastHashJoinnull5.09047true47nullnullfalse
app-20220209230053-002824Projectnull3.00188truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (12)WholeStageCodegen (12)2.81437289true43Filter:ColumnarToRow90:91false
app-20220209230053-002824SubqueryBroadcastnull3.0108201truenullnullnullfalse
app-20220209230053-002824Projectnull3.0082truenullnullnullfalse
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app-20220209230053-002824SortMergeJoinnull22.7011true51nullnullfalse
app-20220209230053-002824Projectnull3.00116truenullnullnullfalse
app-20220209230053-002824ReusedExchangenull1.0052falsenullnullnullfalse
app-20220209230053-002824Filternull2.8039true49nullnullfalse
app-20220209230053-00285Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00194truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.827817123true36Filter:ColumnarToRow124:125false
app-20220209230053-002824Filternull2.8083true46nullnullfalse
app-20220209230053-002824Projectnull3.00164truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.07610479105true37Sort106false
app-20220209230053-002824Exchangenull4.224920191true40:42nullnullfalse
app-20220209230053-002824Filternull2.80109true35nullnullfalse
app-20220209230053-002824Projectnull3.00103truenullnullnullfalse
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app-20220209230053-002824Filternull1.00237false52nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.0063false33nullnulltrue
app-20220209230053-002824WholeStageCodegen (25)WholeStageCodegen (25)2.815032178true41Filter:ColumnarToRow179:180false
app-20220209230053-002824ColumnarToRownull1.00206false39nullnulltrue
app-20220209230053-002824SortMergeJoinnull22.7077true51nullnullfalse
app-20220209230053-002824Exchangenull4.2124122true36:37nullnullfalse
app-20220209230053-002824WholeStageCodegen (37)WholeStageCodegen (37)8.09684161229true52Sort230false
app-20220209230053-002824ColumnarToRownull1.00199false40nullnulltrue
app-20220209230053-002824Sortnull8.00150true51nullnullfalse
app-20220209230053-002824Projectnull3.00147truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (24)WholeStageCodegen (24)1.0153863false53HashAggregate4false
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.9548209true33Project:Filter:ColumnarToRow210:211:212false
app-20220209230053-002824Scan parquet null3.0287158true31nullnullfalse
app-20220209230053-002824HashAggregatenull1.0074false51nullnullfalse
app-20220209230053-002824ReusedExchangenull1.00113falsenullnullnullfalse
app-20220209230053-002824Subquerynull1.0093falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.215288true43:52:51nullnullfalse
app-20220209230053-002824Sortnull8.00135true51nullnullfalse
app-20220209230053-002824Projectnull3.0038truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00160false53nullnullfalse
app-20220209230053-002824Scan parquet null3.0324132true34nullnullfalse
app-20220209230053-002824WholeStageCodegen (20)WholeStageCodegen (20)8.05632344151true51Sort152false
app-20220209230053-002824Scan parquet null3.0104034200true40nullnullfalse
app-20220209230053-002824WholeStageCodegen (31)WholeStageCodegen (31)8.0280275183true44Sort184false
app-20220209230053-002824Exchangenull4.281921true48:50nullnullfalse
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954854true33Project:Filter:ColumnarToRow55:56:57false
app-20220209230053-002824WholeStageCodegen (7)WholeStageCodegen (7)4.5994true38HashAggregate95false
app-20220209230053-00280Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.8090true43nullnullfalse
app-20220209230053-002824Scan parquet null3.031207true39nullnullfalse
app-20220209230053-002824ReusedExchangenull1.00185falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.92484989842true47HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow43:44:45:46:47:48:49false
app-20220209230053-002824Sortnull8.00243true52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00100false37nullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090197true40nullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.43329696187true42Project:Filter:HashAggregate188:189:190false
app-20220209230053-002824Sortnull8.00184true44nullnullfalse
app-20220209230053-002824Scan parquet null3.0324119true34nullnullfalse
app-20220209230053-002822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.8056true33nullnullfalse
app-20220209230053-002824Sortnull8.0014true51nullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.0909true51nullnullfalse
app-20220209230053-002824Projectnull3.0061truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (16)WholeStageCodegen (16)8.00134true51Sort135false
app-20220209230053-002819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0044truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (44)WholeStageCodegen (44)8.07091464244true52Sort245false
app-20220209230750-003624WholeStageCodegen (19)WholeStageCodegen (19)2.811348582true40Filter:ColumnarToRow83:84false
app-20220209230750-003624Projectnull3.005truenullnullnullfalse
app-20220209230750-003624SortMergeJoinnull22.7023true37nullnullfalse
app-20220209230750-003624ColumnarToRownull1.0039false32nullnulltrue
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app-20220209230750-003624ColumnarToRownull1.0090false31nullnulltrue
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app-20220209230750-003624Scan parquet null3.0939853true33nullnullfalse
app-20220209230750-003624Scan parquet null3.0892791true31nullnullfalse
app-20220209230750-003624ReusedExchangenull1.0034falsenullnullnullfalse
app-20220209230750-003624BroadcastHashJoinnull5.0904true42nullnullfalse
app-20220209230750-003624BroadcastExchangenull3.0149435truenullnullnullfalse
app-20220209230750-003614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624Sortnull8.0055true41nullnullfalse
app-20220209230750-003624Projectnull3.0071truenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (11)WholeStageCodegen (11)8.062515967true35Sort68false
app-20220209230750-003624Scan parquet null3.06281985true40nullnullfalse
app-20220209230750-003611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (6)WholeStageCodegen (6)10.07191090520true37HashAggregate:Project:SortMergeJoin21:22:23false
app-20220209230750-003624Filternull1.0056false41nullnullfalse
app-20220209230750-003624SortMergeJoinnull22.7066true35nullnullfalse
app-20220209230750-003624Sortnull8.0014true41nullnullfalse
app-20220209230750-003624HashAggregatenull4.5061true39nullnullfalse
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app-20220209230750-003624Sortnull8.008true42nullnullfalse
app-20220209230750-00363Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (14)WholeStageCodegen (14)10.0754130563true35HashAggregate:Project:SortMergeJoin64:65:66false
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app-20220209230750-003624ColumnarToRownull1.0052false33nullnulltrue
app-20220209230750-003624WholeStageCodegen (7)WholeStageCodegen (7)3.6535682516true38Filter:HashAggregate17:18false
app-20220209230750-003624Filternull2.8089true31nullnullfalse
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app-20220209230750-00365Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (2)WholeStageCodegen (2)3.6340442927true36Project:BroadcastHashJoin:Filter:ColumnarToRow28:29:30:31false
app-20220209230750-003624BroadcastExchangenull3.0149441truenullnullnullfalse
app-20220209230750-003624Projectnull3.0065truenullnullnullfalse
app-20220209230750-003624HashAggregatenull4.5021true37nullnullfalse
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app-20220209230750-00367Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (18)WholeStageCodegen (18)8.04382647true42Sort8false
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app-20220209230750-003624WholeStageCodegen (5)WholeStageCodegen (5)8.0176929047true37Sort48false
Showing the first 1000 rows.
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template","dashboards":[{"elements":[],"guid":"0ed3c80b-b2f6-4c89-9a92-1af2f168d5ea","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2721260844584915,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"ab4cecf9-0471-4fee-aa33-8927bb7e1bb1","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2721260844584916,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":551,"breakBefore":false},{"name":"output_path","width":551,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"88986aa6-6e67-4d09-aeeb-7c96ea1ea8f1","currentValue":"/dbfs/user1/qualification_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"0b9846bd-5c3e-4ae2-ba00-80bb9da1ee32","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2721260844584890}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","source":["# Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark CPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the qualification tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-qualification-tool.html#qualification-tool-options.\n\n## Summary Output\nThe report represents the entire app execution, including unsupported operators and non-SQL operations. By default, the applications and queries are sorted in descending order by the following fields:\n- Recommendation;\n- Estimated GPU Speed-up;\n- Estimated GPU Time Saved; and\n- End Time.\n\n## Stages Output\nFor each stage used in SQL operations, the Qualification tool generates the following information:\n1. App ID\n1. Stage ID\n1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n\n## Execs Output\nThe Qualification tool generates a report of the “Exec” in the “SparkPlan” or “Executor Nodes” along with the estimated acceleration on the GPU. Please refer to the Supported Operators guide for more details on limitations on UDFs and unsupported operators.\n1. App ID\n1. SQL ID\n1. Exec Name: example Filter, HashAggregate\n1. Expression Name\n1. Task Speedup Factor: it is simply the average acceleration of the operators based on the original CPU duration of the operator divided by the GPU duration. The tool uses historical queries and benchmarks to estimate a speed-up at an individual operator level to calculate how much a specific operator would accelerate on GPU.\n1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n1. SQL Node Id\n1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n1. Exec Stages: an array of stage IDs\n1. Exec Children\n1. Exec Children Node Ids\n1. Exec Should Remove: whether the Op is removed from the migrated plan."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"df33c614-2ecc-47a0-8600-bc891681997f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\n# Download Spark RAPIDS tool jar\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.02.0/rapids-4-spark-tools_2.12-23.02.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)\n\n# Download S3 jars\nHADOOP_AWS_URL = 'https://repo.maven.apache.org/maven2/org/apache/hadoop/hadoop-aws/2.7.4/hadoop-aws-2.7.4.jar'\nHADOOP_AWS_LOCAL_PATH = '/tmp/hadoop-aws-2.7.4.jar'\nresponse = requests.get(HADOOP_AWS_URL)\nopen(HADOOP_AWS_LOCAL_PATH, \"wb\").write(response.content)\n\nAWS_JAVA_URL = 'https://repo.maven.apache.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar'\nAWS_JAVA_LOCAL_PATH = '/tmp/aws-java-sdk-1.7.4.jar'\nresponse = requests.get(AWS_JAVA_URL)\nopen(AWS_JAVA_LOCAL_PATH, \"wb\").write(response.content)\n\n"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[38]: 11948376
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[38]: 11948376
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\")\n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"acf401a3-12d3-4236-a6c5-8fe8990b153a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/tmp/hadoop-aws-2.7.4.jar:/tmp/aws-java-sdk-1.7.4.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.qualification.QualificationMain -o $outputpath_string $eventlog_string &> /tmp/qual_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"65c4e778-5505-4334-ab89-424334803253","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Summary Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["summary_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output.csv\")\ndisplay(summary_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"fb8edb26-e173-47ff-92a1-463baec7c06b","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["TPC-DS Like Bench q14b","app-20220209225233-0018","Strongly Recommended",2.7,48971.53,83400.46,112708,27066964,132372,109793,65.66,null,null,null,null,null,null,112701,2939275,700037,26366927,4.16,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q14a","app-20220209225013-0017","Strongly Recommended",2.66,51728.96,86381.03,117178,28746000,138110,112636,64.69,null,null,null,null,null,null,117172,2978987,1114076,27631924,4.29,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q4","app-20220209224316-0007","Strongly Recommended",2.66,41856.03,69720.96,90167,85324700,111577,90167,65.09,null,null,null,null,null,null,90163,3086516,0,85324700,4.41,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q24b","app-20220209230348-0030","Recommended",2.34,32581.07,43720.92,56748,27574691,76302,56694,60.89,null,null,null,null,null,null,56741,2950634,25998,27548693,4.37,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q67","app-20220209232913-0074","Recommended",2.27,144720.72,184416.27,308185,15437192,329137,265300,73.64,null,null,null,null,null,null,308174,3028469,2148108,13289084,3.28,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q24a","app-20220209230232-0029","Recommended",2.25,33029.22,41483.77,53469,27911960,74513,53202,60.14,null,null,null,null,null,null,53455,3305140,139193,27772767,4.54,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q93","app-20220209235239-0100","Recommended",2.18,31203.42,36894.57,50166,29213056,68098,50166,64.73,null,null,null,null,null,null,50161,2973035,0,29213056,3.78,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q23a","app-20220209225917-0027","Recommended",2.17,43196.97,50617.02,74068,45913641,93814,66840,64.81,null,null,null,null,null,null,74064,2975228,4480262,41433379,4.12,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q23b","app-20220209230053-0028","Recommended",2.08,46588.14,50761.85,77422,59799857,97350,66526,66.43,null,null,null,null,null,null,77417,3011951,8415627,51384230,4.22,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","DecimalType;decimal"],["TPC-DS Like Bench q72","app-20220209233659-0079","Recommended",1.97,30920.88,30054.11,41703,25434438,60975,41703,74.77,null,null,null,null,null,null,41694,2971887,0,25434438,3.58,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q64","app-20220209232701-0071","Recommended",1.95,30544.61,29103.38,38925,31852357,59648,37301,55.12,null,null,null,null,null,null,38919,2987987,1328490,30523867,4.55,false,"HashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q78","app-20220209234412-0085","Recommended",1.94,24390.79,22946.2,29098,24753911,47337,29098,56.99,null,null,null,null,null,null,29090,2968697,0,24753911,4.73,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q95","app-20220209235427-0102","Recommended",1.9,29920.38,26967.61,37674,23337528,56888,35528,49.19,null,null,null,null,null,null,37667,2958216,1328886,22008642,4.15,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q87","app-20220209234925-0094","Recommended",1.81,25518.2,20871.79,26279,16348325,46390,26279,52.04,null,null,null,null,null,null,26272,2954066,0,16348325,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q50","app-20220209231919-0057","Recommended",1.76,26735.89,20549.1,28736,16444045,47285,28736,52.87,null,null,null,null,null,null,28732,3339217,0,16444045,3.51,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q97","app-20220209235552-0104","Recommended",1.76,24057.8,18398.19,23731,11475611,42456,23731,58.69,null,null,null,null,null,null,23727,3009477,0,11475611,4.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q75","app-20220209233914-0082","Recommended",1.74,25544.26,18972.73,24939,19831478,44517,24939,43.74,null,null,null,null,null,null,24933,2987306,0,19831478,4.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q38","app-20220209231214-0044","Recommended",1.73,23047.06,16910.93,21292,15248682,39958,21292,48.81,null,null,null,null,null,null,21288,3167687,0,15248682,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q31","app-20220209230826-0037","Recommended",1.68,23595.69,16242.3,20407,12617670,39838,20407,34.76,null,null,null,null,null,null,20399,2942830,0,12617670,4.9,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q74","app-20220209233831-0081","Recommended",1.68,24668.06,16781.93,21747,16692240,41450,21747,46.93,null,null,null,null,null,null,21741,3325282,0,16692240,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q11","app-20220209224833-0014","Recommended",1.62,26707.24,16820.75,24208,17615125,43528,22143,45.76,null,null,null,null,null,null,24205,2917642,1502045,16113080,4.16,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q16","app-20220209225524-0020","Recommended",1.62,25717.33,16006.66,22726,18535920,41724,21306,44.67,null,null,null,null,null,null,22720,3028781,1157466,17378454,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q51","app-20220209232008-0058","Recommended",1.59,21942.35,13069.64,16925,12278939,35012,16925,47.26,null,null,null,null,null,null,16920,2979507,0,12278939,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q81","app-20220209234611-0088","Recommended",1.58,23125.59,13612.4,17437,10033526,36738,17393,36.22,null,null,null,null,null,null,17431,3083743,24955,10008571,4.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q65","app-20220209232803-0072","Recommended",1.57,23403.59,13469.4,18332,10164071,36873,18332,46.41,null,null,null,null,null,null,18324,2941892,0,10164071,3.77,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q30","app-20220209230750-0036","Recommended",1.56,21777.06,12322.93,16070,8447753,34100,16023,33.65,null,null,null,null,null,null,16063,2987480,24435,8423318,4.33,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q15","app-20220209225447-0019","Recommended",1.52,23166.12,12074.87,15970,6770100,35241,15970,34.25,null,null,null,null,null,null,15964,2923648,0,6770100,4.09,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q35","app-20220209231035-0041","Recommended",1.51,24552.13,12648.86,18298,10027023,37201,17010,37.15,null,null,null,null,null,null,18293,3059747,705510,9321513,3.9,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q8","app-20220209224648-0011","Recommended",1.51,23372.7,12016.29,15691,6693324,35389,15691,20.01,null,null,null,null,null,null,15686,3133963,0,6693324,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q69","app-20220209233517-0076","Recommended",1.5,24534.64,12431.35,16589,7246714,36966,16589,27.75,null,null,null,null,null,null,16583,2963952,0,7246714,3.99,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q94","app-20220209235349-0101","Recommended",1.5,24361.44,12284.55,17424,13168326,36646,16352,41.87,null,null,null,null,null,null,17416,3048502,809952,12358374,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q54","app-20220209232140-0061","Recommended",1.5,23475.06,11742.93,15568,5555140,35218,15568,28.65,null,null,null,null,null,null,15563,3021018,0,5555140,4.07,false,"Execute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q39a","app-20220209231256-0045","Recommended",1.49,22102.22,10863.77,14136,4794226,32966,14136,24.49,null,null,null,null,null,null,14131,2998677,0,4794226,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q29","app-20220209230713-0035","Recommended",1.49,23597.91,11588.08,15912,10021701,35186,15912,44.09,null,null,null,null,null,null,15905,3057910,0,10021701,3.68,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q47","app-20220209231740-0054","Recommended",1.48,23520.63,11417.36,15246,8996925,34938,15160,35.78,null,null,null,null,null,null,15241,3107687,50299,8946626,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q59","app-20220209232422-0066","Recommended",1.48,24246.78,11658.21,16091,6749831,35905,16091,34.65,null,null,null,null,null,null,16084,3068245,0,6749831,3.63,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q6","app-20220209224544-0009","Recommended",1.46,22488.01,10526.98,13758,6335474,33015,13756,30.04,null,null,null,null,null,null,13753,2943126,863,6334611,4.26,false,"Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q80","app-20220209234532-0087","Recommended",1.46,25298.12,11841.87,16742,12630126,37140,15856,40.02,null,null,null,null,null,null,16735,3360633,668346,11961780,3.95,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q39b","app-20220209231330-0046","Recommended",1.46,22094.04,10341.95,13457,3807675,32436,13457,30.24,null,null,null,null,null,null,13451,2941727,0,3807675,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q57","app-20220209232314-0064","Recommended",1.46,22995.99,10722.0,14351,8374423,33718,14237,31.73,null,null,null,null,null,null,14345,2948771,66283,8308140,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q1","app-20220209224147-0004","Recommended",1.46,21599.35,10007.64,13417,7598550,31607,13321,37.09,null,null,null,null,null,null,13412,3012015,54119,7544431,4.01,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q18","app-20220209225644-0022","Recommended",1.44,22216.88,9865.11,13492,7586670,32082,13492,33.42,null,null,null,null,null,null,13484,2962080,0,7586670,3.72,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q45","app-20220209231631-0052","Recommended",1.44,23723.45,10458.54,14455,5768757,34182,14154,33.74,null,null,null,null,null,null,14447,2957022,120068,5648689,3.83,false,"Execute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRow",null],["TPC-DS Like Bench q17","app-20220209225607-0021","Recommended",1.43,24334.61,10564.38,14420,7818278,34899,14420,37.4,null,null,null,null,null,null,14412,3106844,0,7818278,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q25","app-20220209230506-0031","Recommended",1.43,21671.78,9370.21,12790,7060196,31042,12790,34.97,null,null,null,null,null,null,12784,3060435,0,7060196,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q49","app-20220209231846-0056","Recommended",1.42,22231.44,9476.55,12466,8785195,31708,12466,26.92,null,null,null,null,null,null,12448,3080539,0,8785195,4.17,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q46","app-20220209231707-0053","Recommended",1.42,22047.85,9385.14,12318,6163042,31433,12318,26.39,null,null,null,null,null,null,12312,3017041,0,6163042,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q10","app-20220209224756-0013","Recommended",1.42,24919.87,10489.12,15574,7745798,35409,14432,30.14,null,null,null,null,null,null,15567,3236768,567780,7178018,3.66,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q68","app-20220209233444-0075","Recommended",1.41,21674.52,9006.47,11821,5109423,30681,11821,20.54,null,null,null,null,null,null,11814,3004334,0,5109423,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q5","app-20220209224509-0008","Recommended",1.41,23548.42,9749.57,13729,8967631,33298,13729,41.35,null,null,null,null,null,null,13722,3186659,0,8967631,3.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q34","app-20220209231004-0040","Recommended",1.4,20675.69,8427.3,10842,5053339,29103,10842,27.34,null,null,null,null,null,null,10836,2994320,0,5053339,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q82","app-20220209234649-0089","Recommended",1.4,22206.53,8955.46,12212,7344489,31162,12212,39.29,null,null,null,null,null,null,12199,2973553,0,7344489,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q85","app-20220209234821-0092","Recommended",1.4,24121.11,9726.88,13468,7684101,33848,13468,29.91,null,null,null,null,null,null,13462,2949755,0,7684101,3.6,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q28","app-20220209230637-0034","Recommended",1.39,24599.41,9839.58,15464,14309580,34439,13823,33.04,null,null,null,null,null,null,15458,3008413,1518296,12791284,3.47,false,"AdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRow","merge_avg;merge_count"],["TPC-DS Like Bench q58","app-20220209232349-0065","Recommended",1.39,22489.0,8770.99,12322,5717106,31260,12322,34.17,null,null,null,null,null,null,12313,3102820,0,5717106,3.47,false,"Execute CreateViewCommand;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q19","app-20220209225718-0023","Recommended",1.38,21689.15,8456.84,11373,5749051,30146,11373,23.22,null,null,null,null,null,null,11364,3161292,0,5749051,3.9,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q61","app-20220209232531-0068","Recommended",1.38,23308.72,9017.27,12357,4376440,32326,12357,36.63,null,null,null,null,null,null,12349,3022176,0,4376440,3.7,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q71","app-20220209233627-0078","Recommended",1.38,21967.67,8440.32,11371,4987537,30408,11371,21.81,null,null,null,null,null,null,11363,3052139,0,4987537,3.88,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q22","app-20220209225845-0026","Recommended",1.38,22397.03,8535.96,12381,1736064,30933,12381,50.01,null,null,null,null,null,null,12376,2929875,0,1736064,3.22,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q70","app-20220209233555-0077","Recommended",1.37,21798.79,8233.2,10751,4816235,30032,10751,33.51,null,null,null,null,null,null,10746,3034688,0,4816235,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q83","app-20220209234722-0090","Recommended",1.36,21949.16,8010.83,10956,5253931,29960,10956,26.62,null,null,null,null,null,null,10949,2993826,0,5253931,3.72,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q98","app-20220209235636-0105","Recommended",1.36,20487.86,7376.13,9674,3164505,27864,9674,21.36,null,null,null,null,null,null,9669,2953354,0,3164505,4.21,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q79","app-20220209234502-0086","Recommended",1.35,21073.77,7578.22,10344,5584295,28652,10344,29.69,null,null,null,null,null,null,10340,3007559,0,5584295,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q73","app-20220209233802-0080","Recommended",1.35,20143.11,7154.88,9205,3086301,27298,9205,27.46,null,null,null,null,null,null,9201,2929775,0,3086301,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q91","app-20220209235141-0098","Recommended",1.34,22090.61,7648.38,10351,3106198,29739,10351,23.11,null,null,null,null,null,null,10347,2997584,0,3106198,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q37","app-20220209231143-0043","Recommended",1.34,22130.6,7605.4,10371,5754398,29736,10371,38.21,null,null,null,null,null,null,10366,3003155,0,5754398,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q44","app-20220209231559-0051","Recommended",1.34,22359.33,7652.66,10956,7175937,30012,10347,29.11,null,null,null,null,null,null,10950,3029969,398712,6777225,3.84,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q9","app-20220209224725-0012","Recommended",1.33,21873.81,7315.18,9829,8064543,29189,9829,35.84,null,null,null,null,null,null,9823,3021491,0,8064543,3.91,false,"Execute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q40","app-20220209231405-0047","Recommended",1.33,24561.7,8167.29,12119,8004983,32729,11272,36.85,null,null,null,null,null,null,12110,3142013,558989,7445994,3.63,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q2","app-20220209224220-0005","Recommended",1.32,21301.46,6890.53,8966,4724046,28192,8966,38.76,null,null,null,null,null,null,8960,3025086,0,4724046,4.32,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench ss_max","app-20220209235735-0107","Recommended",1.31,20784.37,6539.62,9176,5331368,27324,8883,40.82,null,null,null,null,null,null,9171,3049122,169902,5161466,3.79,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_count;merge_max"],["TPC-DS Like Bench q60","app-20220209232500-0067","Recommended",1.31,22250.37,6983.62,9811,3834676,29234,9811,19.92,null,null,null,null,null,null,9806,2939560,0,3834676,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q13","app-20220209224945-0016","Recommended",1.31,20407.71,6360.28,8816,4265966,26768,8816,34.5,null,null,null,null,null,null,8808,2951094,0,4265966,3.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q56","app-20220209232242-0063","Recommended",1.3,22798.87,7044.12,9896,3729466,29843,9896,14.44,null,null,null,null,null,null,9890,2971656,0,3729466,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q76","app-20220209234000-0083","Recommended",1.3,22630.64,6827.35,9835,6264831,29458,9835,33.9,null,null,null,null,null,null,9830,3037202,0,6264831,3.27,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q33","app-20220209230935-0039","Recommended",1.3,21561.95,6491.04,9119,3032680,28053,9119,18.14,null,null,null,null,null,null,9111,2983234,0,3032680,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q88","app-20220209235013-0095","Recommended",1.3,23989.56,7197.43,9998,6687038,31187,9998,43.92,null,null,null,null,null,null,9987,3212440,0,6687038,3.57,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q7","app-20220209224619-0010","Not Recommended",1.29,20663.5,6143.5,8936,4022166,26807,8936,35.88,null,null,null,null,null,null,8929,2959904,0,4022166,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q48","app-20220209231816-0055","Not Recommended",1.29,21310.47,6237.52,8514,3969649,27548,8514,33.42,null,null,null,null,null,null,8507,2990347,0,3969649,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q26","app-20220209230539-0032","Not Recommended",1.28,21556.18,6109.81,8887,4002441,27666,8887,36.79,null,null,null,null,null,null,8876,3012952,0,4002441,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q12","app-20220209224918-0015","Not Recommended",1.27,19624.36,5459.63,7584,1865587,25084,7584,23.82,null,null,null,null,null,null,7577,3102250,0,1865587,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q62","app-20220209232605-0069","Not Recommended",1.27,21448.22,5877.77,8574,4218821,27326,8574,36.47,null,null,null,null,null,null,8565,3017055,0,4218821,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q20","app-20220209225749-0024","Not Recommended",1.26,21250.95,5641.04,7836,2040974,26892,7836,22.51,null,null,null,null,null,null,7829,3039094,0,2040974,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q99","app-20220209235705-0106","Not Recommended",1.25,22355.32,5801.67,8463,4558275,28157,8463,33.1,null,null,null,null,null,null,8455,2973149,0,4558275,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q36","app-20220209231114-0042","Not Recommended",1.25,21356.73,5527.26,7756,3642750,26884,7756,30.08,null,null,null,null,null,null,7752,2905924,0,3642750,3.48,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q89","app-20220209235046-0096","Not Recommended",1.25,20969.23,5401.76,7869,4029740,26371,7615,24.99,null,null,null,null,null,null,7858,3012145,129765,3899975,3.44,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q86","app-20220209234857-0093","Not Recommended",1.25,21140.77,5388.22,7493,3505441,26529,7493,29.09,null,null,null,null,null,null,7489,3240380,0,3505441,3.56,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q27","app-20220209230608-0033","Not Recommended",1.25,22114.89,5587.1,8150,3737103,27702,8150,29.62,null,null,null,null,null,null,8143,3067371,0,3737103,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q66","app-20220209232841-0073","Not Recommended",1.24,24291.91,5938.08,9771,5287383,30230,8612,35.68,null,null,null,null,null,null,9765,2922061,626680,4660703,3.22,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q53","app-20220209232111-0060","Not Recommended",1.23,22160.97,5233.02,7622,3879496,27394,7368,25.54,null,null,null,null,null,null,7617,2905347,128795,3750701,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q84","app-20220209234754-0091","Not Recommended",1.23,21195.3,4968.69,7129,3814060,26164,7129,40.65,null,null,null,null,null,null,7123,3029105,0,3814060,3.3,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q63","app-20220209232634-0070","Not Recommended",1.23,21192.66,4957.33,7215,3490147,26150,6980,26.58,null,null,null,null,null,null,7207,2976838,113318,3376829,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q43","app-20220209231533-0050","Not Recommended",1.23,19958.18,4641.81,6660,3257940,24600,6660,29.65,null,null,null,null,null,null,6651,2961446,0,3257940,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench ss_maxb","app-20220209235804-0108","Not Recommended",1.23,19063.41,4414.58,5825,3798491,23478,5825,48.17,null,null,null,null,null,null,5819,3155711,0,3798491,4.13,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q3","app-20220209224250-0006","Not Recommended",1.22,20089.36,4522.63,6489,2898373,24612,6489,26.88,null,null,null,null,null,null,6483,3094853,0,2898373,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q21","app-20220209225818-0025","Not Recommended",1.22,20413.61,4531.38,6610,1072926,24945,6610,40.94,null,null,null,null,null,null,6605,3079474,0,1072926,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q55","app-20220209232217-0062","Not Recommended",1.22,19494.18,4296.81,6165,2612787,23791,6165,24.78,null,null,null,null,null,null,6158,2995446,0,2612787,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q92","app-20220209235212-0099","Not Recommended",1.21,20741.45,4549.54,6384,2095601,25291,6123,25.07,null,null,null,null,null,null,6380,2967129,85419,2010182,3.89,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q90","app-20220209235114-0097","Not Recommended",1.21,20450.98,4350.01,6209,2604676,24801,6209,44.95,null,null,null,null,null,null,6204,2976499,0,2604676,3.34,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q32","app-20220209230908-0038","Not Recommended",1.2,20973.26,4366.73,6107,2712962,25340,5909,25.21,null,null,null,null,null,null,6098,3048254,87623,2625339,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q42","app-20220209231505-0049","Not Recommended",1.2,21414.78,4436.21,6365,2726759,25851,6365,23.15,null,null,null,null,null,null,6358,3047836,0,2726759,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q52","app-20220209232045-0059","Not Recommended",1.19,20523.3,4071.69,5842,2683090,24595,5842,25.46,null,null,null,null,null,null,5827,3074975,0,2683090,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q41","app-20220209231439-0048","Not Recommended",1.19,20533.93,4071.06,5649,161564,24605,5649,55.4,null,null,null,null,null,null,5642,2970757,0,161564,3.58,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q96","app-20220209235526-0103","Not Recommended",1.18,20189.67,3776.32,5324,2304428,23966,5324,44.32,null,null,null,null,null,null,5317,2947875,0,2304428,3.44,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["DART-ALGO","application_1665146417445_0002","Not Recommended",1.04,375798.12,16253.87,44531,75900172,392052,23675,14.55,null,null,null,null,null,null,16579,58017590,35546441,40353731,3.19,false,"Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimit",null],["DART-ALGO","application_1665146417445_0003","Not Recommended",1.0,690682.0,0.0,0,0,690682,0,0.0,null,null,null,null,null,null,0,0,0,0,1.0,false,null,null]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"App Name","type":"\"string\"","metadata":"{}"},{"name":"App ID","type":"\"string\"","metadata":"{}"},{"name":"Recommendation","type":"\"string\"","metadata":"{}"},{"name":"Estimated GPU Speedup","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Duration","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Time Saved","type":"\"double\"","metadata":"{}"},{"name":"SQL DF Duration","type":"\"long\"","metadata":"{}"},{"name":"SQL Dataframe Task Duration","type":"\"long\"","metadata":"{}"},{"name":"App Duration","type":"\"long\"","metadata":"{}"},{"name":"GPU Opportunity","type":"\"long\"","metadata":"{}"},{"name":"Executor CPU Time Percent","type":"\"double\"","metadata":"{}"},{"name":"SQL Ids with Failures","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Read File Formats and Types","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Write Data Format","type":"\"double\"","metadata":"{}"},{"name":"Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Nested Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Potential Problems","type":"\"double\"","metadata":"{}"},{"name":"Longest SQL Duration","type":"\"long\"","metadata":"{}"},{"name":"NONSQL Task Duration Plus Overhead","type":"\"long\"","metadata":"{}"},{"name":"Unsupported Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Supported SQL DF Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Task Speedup Factor","type":"\"double\"","metadata":"{}"},{"name":"App Duration Estimated","type":"\"boolean\"","metadata":"{}"},{"name":"Unsupported Execs","type":"\"string\"","metadata":"{}"},{"name":"Unsupported Expressions","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
App NameApp IDRecommendationEstimated GPU SpeedupEstimated GPU DurationEstimated GPU Time SavedSQL DF DurationSQL Dataframe Task DurationApp DurationGPU OpportunityExecutor CPU Time PercentSQL Ids with FailuresUnsupported Read File Formats and TypesUnsupported Write Data FormatComplex TypesNested Complex TypesPotential ProblemsLongest SQL DurationNONSQL Task Duration Plus OverheadUnsupported Task DurationSupported SQL DF Task DurationTask Speedup FactorApp Duration EstimatedUnsupported ExecsUnsupported Expressions
TPC-DS Like Bench q14bapp-20220209225233-0018Strongly Recommended2.748971.5383400.461127082706696413237210979365.66nullnullnullnullnullnull1127012939275700037263669274.16falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q14aapp-20220209225013-0017Strongly Recommended2.6651728.9686381.031171782874600013811011263664.69nullnullnullnullnullnull11717229789871114076276319244.29falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q4app-20220209224316-0007Strongly Recommended2.6641856.0369720.9690167853247001115779016765.09nullnullnullnullnullnull9016330865160853247004.41falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q24bapp-20220209230348-0030Recommended2.3432581.0743720.925674827574691763025669460.89nullnullnullnullnullnull56741295063425998275486934.37falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q67app-20220209232913-0074Recommended2.27144720.72184416.273081851543719232913726530073.64nullnullnullnullnullnull30817430284692148108132890843.28falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q24aapp-20220209230232-0029Recommended2.2533029.2241483.775346927911960745135320260.14nullnullnullnullnullnull534553305140139193277727674.54falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q93app-20220209235239-0100Recommended2.1831203.4236894.575016629213056680985016664.73nullnullnullnullnullnull5016129730350292130563.78falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q23aapp-20220209225917-0027Recommended2.1743196.9750617.027406845913641938146684064.81nullnullnullnullnullnull7406429752284480262414333794.12falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q23bapp-20220209230053-0028Recommended2.0846588.1450761.857742259799857973506652666.43nullnullnullnullnullnull7741730119518415627513842304.22falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowDecimalType;decimal
TPC-DS Like Bench q72app-20220209233659-0079Recommended1.9730920.8830054.114170325434438609754170374.77nullnullnullnullnullnull4169429718870254344383.58falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q64app-20220209232701-0071Recommended1.9530544.6129103.383892531852357596483730155.12nullnullnullnullnullnull3891929879871328490305238674.55falseHashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q78app-20220209234412-0085Recommended1.9424390.7922946.22909824753911473372909856.99nullnullnullnullnullnull2909029686970247539114.73falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q95app-20220209235427-0102Recommended1.929920.3826967.613767423337528568883552849.19nullnullnullnullnullnull3766729582161328886220086424.15falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q87app-20220209234925-0094Recommended1.8125518.220871.792627916348325463902627952.04nullnullnullnullnullnull2627229540660163483254.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q50app-20220209231919-0057Recommended1.7626735.8920549.12873616444045472852873652.87nullnullnullnullnullnull2873233392170164440453.51falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q97app-20220209235552-0104Recommended1.7624057.818398.192373111475611424562373158.69nullnullnullnullnullnull2372730094770114756114.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q75app-20220209233914-0082Recommended1.7425544.2618972.732493919831478445172493943.74nullnullnullnullnullnull2493329873060198314784.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q38app-20220209231214-0044Recommended1.7323047.0616910.932129215248682399582129248.81nullnullnullnullnullnull2128831676870152486824.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q31app-20220209230826-0037Recommended1.6823595.6916242.32040712617670398382040734.76nullnullnullnullnullnull2039929428300126176704.9falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q74app-20220209233831-0081Recommended1.6824668.0616781.932174716692240414502174746.93nullnullnullnullnullnull2174133252820166922404.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q11app-20220209224833-0014Recommended1.6226707.2416820.752420817615125435282214345.76nullnullnullnullnullnull2420529176421502045161130804.16falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q16app-20220209225524-0020Recommended1.6225717.3316006.662272618535920417242130644.67nullnullnullnullnullnull2272030287811157466173784544.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q51app-20220209232008-0058Recommended1.5921942.3513069.641692512278939350121692547.26nullnullnullnullnullnull1692029795070122789394.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q81app-20220209234611-0088Recommended1.5823125.5913612.41743710033526367381739336.22nullnullnullnullnullnull17431308374324955100085714.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q65app-20220209232803-0072Recommended1.5723403.5913469.41833210164071368731833246.41nullnullnullnullnullnull1832429418920101640713.77falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q30app-20220209230750-0036Recommended1.5621777.0612322.93160708447753341001602333.65nullnullnullnullnullnull1606329874802443584233184.33falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q15app-20220209225447-0019Recommended1.5223166.1212074.87159706770100352411597034.25nullnullnullnullnullnull159642923648067701004.09falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q35app-20220209231035-0041Recommended1.5124552.1312648.861829810027023372011701037.15nullnullnullnullnullnull18293305974770551093215133.9falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q8app-20220209224648-0011Recommended1.5123372.712016.29156916693324353891569120.01nullnullnullnullnullnull156863133963066933244.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q69app-20220209233517-0076Recommended1.524534.6412431.35165897246714369661658927.75nullnullnullnullnullnull165832963952072467143.99falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q94app-20220209235349-0101Recommended1.524361.4412284.551742413168326366461635241.87nullnullnullnullnullnull174163048502809952123583744.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q54app-20220209232140-0061Recommended1.523475.0611742.93155685555140352181556828.65nullnullnullnullnullnull155633021018055551404.07falseExecute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRownull
TPC-DS Like Bench q39aapp-20220209231256-0045Recommended1.4922102.2210863.77141364794226329661413624.49nullnullnullnullnullnull141312998677047942264.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q29app-20220209230713-0035Recommended1.4923597.9111588.081591210021701351861591244.09nullnullnullnullnullnull1590530579100100217013.68falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q47app-20220209231740-0054Recommended1.4823520.6311417.36152468996925349381516035.78nullnullnullnullnullnull1524131076875029989466264.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q59app-20220209232422-0066Recommended1.4824246.7811658.21160916749831359051609134.65nullnullnullnullnullnull160843068245067498313.63falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q6app-20220209224544-0009Recommended1.4622488.0110526.98137586335474330151375630.04nullnullnullnullnullnull13753294312686363346114.26falseSubquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q80app-20220209234532-0087Recommended1.4625298.1211841.871674212630126371401585640.02nullnullnullnullnullnull167353360633668346119617803.95falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q39bapp-20220209231330-0046Recommended1.4622094.0410341.95134573807675324361345730.24nullnullnullnullnullnull134512941727038076754.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q57app-20220209232314-0064Recommended1.4622995.9910722.0143518374423337181423731.73nullnullnullnullnullnull1434529487716628383081404.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q1app-20220209224147-0004Recommended1.4621599.3510007.64134177598550316071332137.09nullnullnullnullnullnull1341230120155411975444314.01falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q18app-20220209225644-0022Recommended1.4422216.889865.11134927586670320821349233.42nullnullnullnullnullnull134842962080075866703.72falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q45app-20220209231631-0052Recommended1.4423723.4510458.54144555768757341821415433.74nullnullnullnullnullnull14447295702212006856486893.83falseExecute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRownull
TPC-DS Like Bench q17app-20220209225607-0021Recommended1.4324334.6110564.38144207818278348991442037.4nullnullnullnullnullnull144123106844078182783.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q25app-20220209230506-0031Recommended1.4321671.789370.21127907060196310421279034.97nullnullnullnullnullnull127843060435070601963.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q49app-20220209231846-0056Recommended1.4222231.449476.55124668785195317081246626.92nullnullnullnullnullnull124483080539087851954.17falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q46app-20220209231707-0053Recommended1.4222047.859385.14123186163042314331231826.39nullnullnullnullnullnull123123017041061630424.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q10app-20220209224756-0013Recommended1.4224919.8710489.12155747745798354091443230.14nullnullnullnullnullnull15567323676856778071780183.66falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q68app-20220209233444-0075Recommended1.4121674.529006.47118215109423306811182120.54nullnullnullnullnullnull118143004334051094234.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q5app-20220209224509-0008Recommended1.4123548.429749.57137298967631332981372941.35nullnullnullnullnullnull137223186659089676313.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q34app-20220209231004-0040Recommended1.420675.698427.3108425053339291031084227.34nullnullnullnullnullnull108362994320050533394.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q82app-20220209234649-0089Recommended1.422206.538955.46122127344489311621221239.29nullnullnullnullnullnull121992973553073444893.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q85app-20220209234821-0092Recommended1.424121.119726.88134687684101338481346829.91nullnullnullnullnullnull134622949755076841013.6falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q28app-20220209230637-0034Recommended1.3924599.419839.581546414309580344391382333.04nullnullnullnullnullnull1545830084131518296127912843.47falseAdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRowmerge_avg;merge_count
TPC-DS Like Bench q58app-20220209232349-0065Recommended1.3922489.08770.99123225717106312601232234.17nullnullnullnullnullnull123133102820057171063.47falseExecute CreateViewCommand;Subquery;ColumnarToRownull
TPC-DS Like Bench q19app-20220209225718-0023Recommended1.3821689.158456.84113735749051301461137323.22nullnullnullnullnullnull113643161292057490513.9falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q61app-20220209232531-0068Recommended1.3823308.729017.27123574376440323261235736.63nullnullnullnullnullnull123493022176043764403.7falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q71app-20220209233627-0078Recommended1.3821967.678440.32113714987537304081137121.81nullnullnullnullnullnull113633052139049875373.88falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q22app-20220209225845-0026Recommended1.3822397.038535.96123811736064309331238150.01nullnullnullnullnullnull123762929875017360643.22falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q70app-20220209233555-0077Recommended1.3721798.798233.2107514816235300321075133.51nullnullnullnullnullnull107463034688048162354.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q83app-20220209234722-0090Recommended1.3621949.168010.83109565253931299601095626.62nullnullnullnullnullnull109492993826052539313.72falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q98app-20220209235636-0105Recommended1.3620487.867376.139674316450527864967421.36nullnullnullnullnullnull96692953354031645054.21falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q79app-20220209234502-0086Recommended1.3521073.777578.22103445584295286521034429.69nullnullnullnullnullnull103403007559055842953.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q73app-20220209233802-0080Recommended1.3520143.117154.889205308630127298920527.46nullnullnullnullnullnull92012929775030863014.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q91app-20220209235141-0098Recommended1.3422090.617648.38103513106198297391035123.11nullnullnullnullnullnull103472997584031061983.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q37app-20220209231143-0043Recommended1.3422130.67605.4103715754398297361037138.21nullnullnullnullnullnull103663003155057543983.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q44app-20220209231559-0051Recommended1.3422359.337652.66109567175937300121034729.11nullnullnullnullnullnull10950302996939871267772253.84falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q9app-20220209224725-0012Recommended1.3321873.817315.189829806454329189982935.84nullnullnullnullnullnull98233021491080645433.91falseExecute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRownull
TPC-DS Like Bench q40app-20220209231405-0047Recommended1.3324561.78167.29121198004983327291127236.85nullnullnullnullnullnull12110314201355898974459943.63falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q2app-20220209224220-0005Recommended1.3221301.466890.538966472404628192896638.76nullnullnullnullnullnull89603025086047240464.32falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench ss_maxapp-20220209235735-0107Recommended1.3120784.376539.629176533136827324888340.82nullnullnullnullnullnull9171304912216990251614663.79falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_count;merge_max
TPC-DS Like Bench q60app-20220209232500-0067Recommended1.3122250.376983.629811383467629234981119.92nullnullnullnullnullnull98062939560038346763.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q13app-20220209224945-0016Recommended1.3120407.716360.288816426596626768881634.5nullnullnullnullnullnull88082951094042659663.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q56app-20220209232242-0063Recommended1.322798.877044.129896372946629843989614.44nullnullnullnullnullnull98902971656037294663.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q76app-20220209234000-0083Recommended1.322630.646827.359835626483129458983533.9nullnullnullnullnullnull98303037202062648313.27falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q33app-20220209230935-0039Recommended1.321561.956491.049119303268028053911918.14nullnullnullnullnullnull91112983234030326803.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q88app-20220209235013-0095Recommended1.323989.567197.439998668703831187999843.92nullnullnullnullnullnull99873212440066870383.57falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q7app-20220209224619-0010Not Recommended1.2920663.56143.58936402216626807893635.88nullnullnullnullnullnull89292959904040221663.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q48app-20220209231816-0055Not Recommended1.2921310.476237.528514396964927548851433.42nullnullnullnullnullnull85072990347039696493.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q26app-20220209230539-0032Not Recommended1.2821556.186109.818887400244127666888736.79nullnullnullnullnullnull88763012952040024413.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q12app-20220209224918-0015Not Recommended1.2719624.365459.637584186558725084758423.82nullnullnullnullnullnull75773102250018655873.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q62app-20220209232605-0069Not Recommended1.2721448.225877.778574421882127326857436.47nullnullnullnullnullnull85653017055042188213.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q20app-20220209225749-0024Not Recommended1.2621250.955641.047836204097426892783622.51nullnullnullnullnullnull78293039094020409743.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q99app-20220209235705-0106Not Recommended1.2522355.325801.678463455827528157846333.1nullnullnullnullnullnull84552973149045582753.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q36app-20220209231114-0042Not Recommended1.2521356.735527.267756364275026884775630.08nullnullnullnullnullnull77522905924036427503.48falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q89app-20220209235046-0096Not Recommended1.2520969.235401.767869402974026371761524.99nullnullnullnullnullnull7858301214512976538999753.44falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q86app-20220209234857-0093Not Recommended1.2521140.775388.227493350544126529749329.09nullnullnullnullnullnull74893240380035054413.56falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q27app-20220209230608-0033Not Recommended1.2522114.895587.18150373710327702815029.62nullnullnullnullnullnull81433067371037371033.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q66app-20220209232841-0073Not Recommended1.2424291.915938.089771528738330230861235.68nullnullnullnullnullnull9765292206162668046607033.22falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q53app-20220209232111-0060Not Recommended1.2322160.975233.027622387949627394736825.54nullnullnullnullnullnull7617290534712879537507013.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q84app-20220209234754-0091Not Recommended1.2321195.34968.697129381406026164712940.65nullnullnullnullnullnull71233029105038140603.3falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q63app-20220209232634-0070Not Recommended1.2321192.664957.337215349014726150698026.58nullnullnullnullnullnull7207297683811331833768293.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q43app-20220209231533-0050Not Recommended1.2319958.184641.816660325794024600666029.65nullnullnullnullnullnull66512961446032579403.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench ss_maxbapp-20220209235804-0108Not Recommended1.2319063.414414.585825379849123478582548.17nullnullnullnullnullnull58193155711037984914.13falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q3app-20220209224250-0006Not Recommended1.2220089.364522.636489289837324612648926.88nullnullnullnullnullnull64833094853028983733.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q21app-20220209225818-0025Not Recommended1.2220413.614531.386610107292624945661040.94nullnullnullnullnullnull66053079474010729263.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q55app-20220209232217-0062Not Recommended1.2219494.184296.816165261278723791616524.78nullnullnullnullnullnull61582995446026127873.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q92app-20220209235212-0099Not Recommended1.2120741.454549.546384209560125291612325.07nullnullnullnullnullnull638029671298541920101823.89falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q90app-20220209235114-0097Not Recommended1.2120450.984350.016209260467624801620944.95nullnullnullnullnullnull62042976499026046763.34falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q32app-20220209230908-0038Not Recommended1.220973.264366.736107271296225340590925.21nullnullnullnullnullnull609830482548762326253393.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q42app-20220209231505-0049Not Recommended1.221414.784436.216365272675925851636523.15nullnullnullnullnullnull63583047836027267593.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q52app-20220209232045-0059Not Recommended1.1920523.34071.695842268309024595584225.46nullnullnullnullnullnull58273074975026830903.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q41app-20220209231439-0048Not Recommended1.1920533.934071.06564916156424605564955.4nullnullnullnullnullnull5642297075701615643.58falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q96app-20220209235526-0103Not Recommended1.1820189.673776.325324230442823966532444.32nullnullnullnullnullnull53172947875023044283.44falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
DART-ALGOapplication_1665146417445_0002Not Recommended1.04375798.1216253.8744531759001723920522367514.55nullnullnullnullnullnull165795801759035546441403537313.19falseScan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimitnull
DART-ALGOapplication_1665146417445_0003Not Recommended1.0690682.00.00069068200.0nullnullnullnullnullnull00001.0falsenullnull
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Stages Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6756159b-30ca-407a-ab6b-9c29ced01ea6","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["stages_output=pd.read_csv(outputpath_string + 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App IDStage IDAverage Speedup FactorStage Task DurationUnsupported Task DurationStage Estimated
app-20220209224509-0008312.9511840false
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app-20220209224509-0008353.3723215230false
app-20220209224509-0008413.91726480false
app-20220209224509-0008395.7245868240false
app-20220209224509-0008383.366943370false
app-20220209224509-0008404.266568350false
app-20220209224509-0008373.365241900false
app-20220209224509-0008322.96410false
app-20220209224509-0008362.7370650false
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Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Execs Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["execs_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_execs.csv\")\ndisplay(execs_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"998b0c51-0cb6-408e-a01a-d1f5b1a61e1f","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,30,false,"31",null,null,true],["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,89,false,"39",null,null,true],["app-20220209224509-0008",24,"WholeStageCodegen (15)","WholeStageCodegen 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App IDSQL IDExec NameExpression NameTask Speedup FactorExec DurationSQL Node IdExec Is SupportedExec StagesExec ChildrenExec Children Node IdsExec Should Remove
app-20220209224509-000824ColumnarToRownull1.0030false31nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0089false39nullnulltrue
app-20220209224509-000824WholeStageCodegen (15)WholeStageCodegen (15)8.0423405095true39Sort96false
app-20220209224509-000824Exchangenull4.258497true36:39nullnullfalse
app-20220209224509-00080Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (8)WholeStageCodegen (8)2.92305965true37Project:Filter:ColumnarToRow66:67:68false
app-20220209224509-000824Unionnull3.0085truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (22)WholeStageCodegen (22)4.51883976true40HashAggregate77false
app-20220209224509-000824Projectnull3.0060truenullnullnullfalse
app-20220209224509-000824Exchangenull4.280029104true35:39nullnullfalse
app-20220209224509-000824Projectnull3.0040truenullnullnullfalse
app-20220209224509-000824Projectnull3.0054truenullnullnullfalse
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app-20220209224509-000824Scan parquet null3.0536114true34nullnullfalse
app-20220209224509-000824WholeStageCodegen (6)WholeStageCodegen (6)4.51879889true40HashAggregate10false
app-20220209224509-000824Projectnull3.0056truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173670truenullnullnullfalse
app-20220209224509-000814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.0033truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5077true40nullnullfalse
app-20220209224509-000824Scan parquet null3.0750661109true35nullnullfalse
app-20220209224509-000824HashAggregatenull4.506true40nullnullfalse
app-20220209224509-000824Projectnull3.0087truenullnullnullfalse
app-20220209224509-000810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0035false38nullnulltrue
app-20220209224509-000824BroadcastExchangenull3.0171238truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (5)WholeStageCodegen (5)4.1331502612true38HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin13:14:15:16:17false
app-20220209224509-000824ColumnarToRownull1.00113false34nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0042false31nullnulltrue
app-20220209224509-000822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976027true31Project:Filter:ColumnarToRow28:29:30false
app-20220209224509-00081Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0156771truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0062false37nullnulltrue
app-20220209224509-000824WholeStageCodegen (13)WholeStageCodegen (13)2.91705586true39Project:Filter:ColumnarToRow87:88:89false
app-20220209224509-000824Scan parquet null3.028348true32nullnullfalse
app-20220209224509-000824Sortnull8.00103true39nullnullfalse
app-20220209224509-000823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.00106truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0022false38nullnulltrue
app-20220209224509-000824Unionnull3.008truenullnullnullfalse
app-20220209224509-000812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5010true40nullnullfalse
app-20220209224509-000824Filternull2.8073true33nullnullfalse
app-20220209224509-000824BroadcastExchangenull3.01537110truenullnullnullfalse
app-20220209224509-000824SortMergeJoinnull22.7094true39nullnullfalse
app-20220209224509-000824Projectnull3.0014truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.01736101truenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0112844truenullnullnullfalse
app-20220209224509-000816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8061true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (16)WholeStageCodegen (16)2.91506623105true35Project:Filter:ColumnarToRow106:107:108false
app-20220209224509-000824Filternull2.8034true38nullnullfalse
app-20220209224509-000824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209224509-00085Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (20)WholeStageCodegen (20)2.8540111true34Filter:ColumnarToRow112:113false
app-20220209224509-000824SubqueryBroadcastnull3.0173637truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (14)WholeStageCodegen (14)1.0409098false36ColumnarToRow99false
app-20220209224509-00089Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Scan parquet null3.01245469true37nullnullfalse
app-20220209224509-00086Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0068false37nullnulltrue
app-20220209224509-000824Filternull2.8021true38nullnullfalse
app-20220209224509-000824TakeOrderedAndProjectnull3.001true41:42nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09015true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09057true37nullnullfalse
app-20220209224509-000824Unionnull3.0018truenullnullnullfalse
app-20220209224509-00082Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (7)WholeStageCodegen (7)2.924709959true37Project:Filter:ColumnarToRow60:61:62false
app-20220209224509-00087Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00084Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (21)WholeStageCodegen (21)4.13323042579true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin80:81:82:83:84false
app-20220209224509-000824Exchangenull4.276878true39:40nullnullfalse
app-20220209224509-000824Scan parquet null3.017303523true38nullnullfalse
app-20220209224509-000815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0047false32nullnulltrue
app-20220209224509-000824BroadcastHashJoinnull5.09082true39nullnullfalse
app-20220209224509-000824Projectnull3.0066truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173691truenullnullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09084true39nullnullfalse
app-20220209224509-000824Scan parquet null3.01956236true38nullnullfalse
app-20220209224509-000824Scan parquet null3.051575true33nullnullfalse
app-20220209224509-000824Exchangenull4.22064true40:41nullnullfalse
app-20220209224509-000824Projectnull3.0020truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5013true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09055true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (24)WholeStageCodegen (24)4.5308342true41HashAggregate3false
app-20220209224509-000824Unionnull3.0058truenullnullnullfalse
app-20220209224509-000824Filternull2.8029true31nullnullfalse
app-20220209224509-000824WholeStageCodegen (12)WholeStageCodegen (12)4.53468649true40HashAggregate50false
app-20220209224509-000824HashAggregatenull4.5050true40nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173664truenullnullnullfalse
app-20220209224509-000824Exchangenull4.2442551true37:40nullnullfalse
app-20220209224509-000813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8088true39nullnullfalse
app-20220209224509-000824Filternull2.8046true32nullnullfalse
app-20220209224509-000824Scan parquet null3.074331true31nullnullfalse
app-20220209224509-000824Scan parquet null3.02399100true36nullnullfalse
app-20220209224509-000824WholeStageCodegen (4)WholeStageCodegen (4)2.829145true32Filter:ColumnarToRow46:47false
app-20220209224509-000824Filternull2.8041true31nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09017true38nullnullfalse
app-20220209224509-000824Projectnull3.0093truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (1)WholeStageCodegen (1)2.932567319true38Project:Filter:ColumnarToRow20:21:22false
app-20220209224509-000824Expandnull3.007true40nullnullfalse
app-20220209224509-000824Exchangenull4.2617911true38:40nullnullfalse
app-20220209224509-000824Projectnull3.0028truenullnullnullfalse
app-20220209224509-000824Projectnull3.0016truenullnullnullfalse
app-20220209224509-000824Filternull2.8067true37nullnullfalse
app-20220209224509-000824ColumnarToRownull1.00108false35nullnulltrue
app-20220209224509-000824Filternull2.80107true35nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173624truenullnullnullfalse
app-20220209224509-000824Filternull2.80112true34nullnullfalse
app-20220209224509-000824Projectnull3.0083truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (11)WholeStageCodegen (11)4.1323510952true37HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin53:54:55:56:57false
app-20220209224509-000824Scan parquet null3.013214963true37nullnullfalse
app-20220209224509-000820Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00083Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000818Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976039true31Project:Filter:ColumnarToRow40:41:42false
app-20220209224509-000824ColumnarToRownull1.0099false36nullnulltrue
app-20220209224509-00088Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (10)WholeStageCodegen (10)2.853872true33Filter:ColumnarToRow73:74false
app-20220209224509-000824WholeStageCodegen (2)WholeStageCodegen (2)2.93627532true38Project:Filter:ColumnarToRow33:34:35false
app-20220209224509-000824HashAggregatenull4.5053true37nullnullfalse
app-20220209224509-000824HashAggregatenull4.503true41nullnullfalse
app-20220209224509-000821Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (23)WholeStageCodegen (23)3.752011495true40HashAggregate:Expand6:7false
app-20220209224509-000824BroadcastExchangenull3.0171226truenullnullnullfalse
app-20220209224509-000811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (18)WholeStageCodegen (18)12.85337652992true39Project:SortMergeJoin93:94false
app-20220209224509-000824WholeStageCodegen (17)WholeStageCodegen (17)8.00102true39Sort103false
app-20220209224509-000824HashAggregatenull4.5080true39nullnullfalse
app-20220209224509-000824ReusedExchangenull1.0025falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0074false33nullnulltrue
app-20220209224509-000824Scan parquet null3.0864890true39nullnullfalse
app-20220209224509-000824Sortnull8.0096true39nullnullfalse
app-20220209224509-000824Scan parquet null3.074343true31nullnullfalse
app-20220209235114-009724Projectnull3.0035truenullnullnullfalse
app-20220209235114-009724Filternull2.8052true36nullnullfalse
app-20220209235114-009724Projectnull3.0049truenullnullnullfalse
app-20220209235114-009724Projectnull3.0023truenullnullnullfalse
app-20220209235114-009717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09016true35nullnullfalse
app-20220209235114-009724Projectnull3.0013truenullnullnullfalse
app-20220209235114-00979Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.091360520true35nullnullfalse
app-20220209235114-009724Exchangenull4.296942true36:38nullnullfalse
app-20220209235114-009724Scan parquet null3.051138true33nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09046true36nullnullfalse
app-20220209235114-009724Projectnull3.0015truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (6)WholeStageCodegen (6)3.8441805343true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow44:45:46:47:48:49:50:51:52:53false
app-20220209235114-009724HashAggregatenull4.507true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0140155truenullnullnullfalse
app-20220209235114-009724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235114-009721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0017truenullnullnullfalse
app-20220209235114-009724Projectnull3.0057truenullnullnullfalse
app-20220209235114-009714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0047truenullnullnullfalse
app-20220209235114-00973Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (8)WholeStageCodegen (8)4.51726true40HashAggregate7false
app-20220209235114-00978Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724TakeOrderedAndProjectnull3.002true40:41nullnullfalse
app-20220209235114-009724Filternull2.8036true33nullnullfalse
app-20220209235114-009724HashAggregatenull4.5044true36nullnullfalse
app-20220209235114-009724Scan parquet null3.050860true34nullnullfalse
app-20220209235114-009724WholeStageCodegen (7)WholeStageCodegen (7)4.54240true38HashAggregate41false
app-20220209235114-009724Projectnull3.004truenullnullnullfalse
app-20220209235114-009713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (5)WholeStageCodegen (5)3.8414436929true35HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow10:11:12:13:14:15:16:17:18:19false
app-20220209235114-009723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0045truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (1)WholeStageCodegen (1)2.951922true31Project:Filter:ColumnarToRow23:24:25false
app-20220209235114-009724Projectnull3.0011truenullnullnullfalse
app-20220209235114-009724Filternull2.8024true31nullnullfalse
app-20220209235114-009724AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0031false32nullnulltrue
app-20220209235114-009724BroadcastHashJoinnull5.09014true35nullnullfalse
app-20220209235114-009724WholeStageCodegen (3)WholeStageCodegen (3)2.951534true33Project:Filter:ColumnarToRow35:36:37false
app-20220209235114-009724HashAggregatenull4.5041true38nullnullfalse
app-20220209235114-00974Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0029truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (9)WholeStageCodegen (9)3.0963true40Project4false
app-20220209235114-00977Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8058true34nullnullfalse
app-20220209235114-009715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00971Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09050true36nullnullfalse
app-20220209235114-009719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00975Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09048true36nullnullfalse
app-20220209235114-009724BroadcastNestedLoopJoinnull3.005true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0133133truenullnullnullfalse
app-20220209235114-009724Exchangenull4.225398true35:40nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09012true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0019false35nullnulltrue
app-20220209235114-009724Scan parquet null3.029832true32nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0149021truenullnullnullfalse
app-20220209235114-009711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00970Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0117527truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0037false33nullnulltrue
app-20220209235114-009724Projectnull3.0051truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0053false36nullnulltrue
app-20220209235114-009724Scan parquet null3.051226true31nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0059false34nullnulltrue
app-20220209235114-009724WholeStageCodegen (4)WholeStageCodegen (4)2.953256true34Project:Filter:ColumnarToRow57:58:59false
app-20220209235114-009718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8030true32nullnullfalse
app-20220209235114-00972Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.018709354true36nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.031539truenullnullnullfalse
app-20220209235114-00976Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (2)WholeStageCodegen (2)2.931728true32Project:Filter:ColumnarToRow29:30:31false
app-20220209235114-009724Filternull2.8018true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0025false31nullnulltrue
app-20220209235114-009724HashAggregatenull4.5010true35nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170449truenullnullnullfalse
app-20220209230506-003124Exchangenull4.294true39:40nullnullfalse
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963570true31Project:Filter:ColumnarToRow71:72:73false
app-20220209230506-003124WholeStageCodegen (13)WholeStageCodegen (13)2.8451381true32Filter:ColumnarToRow82:83false
app-20220209230506-003111Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.009truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170469truenullnullnullfalse
app-20220209230506-003124Projectnull3.0023truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (8)WholeStageCodegen (8)8.03521355true39Sort56false
app-20220209230506-003124WholeStageCodegen (7)WholeStageCodegen (7)2.888475758true37Filter:ColumnarToRow59:60false
app-20220209230506-003118Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2611942true36:38nullnullfalse
app-20220209230506-003113Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (12)WholeStageCodegen (12)2.881776true33Filter:ColumnarToRow77:78false
app-20220209230506-003124Filternull2.8052true31nullnullfalse
app-20220209230506-003124WholeStageCodegen (15)WholeStageCodegen (15)4.5334762true40HashAggregate3false
app-20220209230506-003124WholeStageCodegen (3)WholeStageCodegen (3)2.814564643true36Filter:ColumnarToRow44:45false
app-20220209230506-003124HashAggregatenull4.503true40nullnullfalse
app-20220209230506-003124Filternull2.8077true33nullnullfalse
app-20220209230506-003124Sortnull8.0020true39nullnullfalse
app-20220209230506-003124Projectnull3.0036truenullnullnullfalse
app-20220209230506-003124Sortnull8.0026true38nullnullfalse
app-20220209230506-003122Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0053false31nullnulltrue
app-20220209230506-003124Projectnull3.0015truenullnullnullfalse
app-20220209230506-003120Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.05912746true36nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7018true39nullnullfalse
app-20220209230506-003124Filternull2.8029true35nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0073false31nullnulltrue
app-20220209230506-003112Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0083false32nullnulltrue
app-20220209230506-00319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (6)WholeStageCodegen (6)8.0167505819true39Sort20false
app-20220209230506-003124BroadcastHashJoinnull5.09016true39nullnullfalse
app-20220209230506-00316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003117Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-00318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003121Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230506-003124Projectnull3.0051truenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.0908true39nullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09010true39nullnullfalse
app-20220209230506-003115Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8037true34nullnullfalse
app-20220209230506-003124Scan parquet null3.061074true31nullnullfalse
app-20220209230506-003116Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.0426884true32nullnullfalse
app-20220209230506-003110Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003119Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.061054true31nullnullfalse
app-20220209230506-003124Scan parquet null3.055986561true37nullnullfalse
app-20220209230506-003124Exchangenull4.2769727true35:38nullnullfalse
app-20220209230506-003124Projectnull3.0011truenullnullnullfalse
app-20220209230506-003124Sortnull8.0056true39nullnullfalse
app-20220209230506-00312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09014true39nullnullfalse
app-20220209230506-00311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963764true34Project:Filter:ColumnarToRow65:66:67false
app-20220209230506-003124ColumnarToRownull1.0038false34nullnulltrue
app-20220209230506-003124ColumnarToRownull1.0030false35nullnulltrue
app-20220209230506-003124Exchangenull4.2496057true37:39nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7024true38nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0246280truenullnullnullfalse
app-20220209230506-003124Filternull2.8059true37nullnullfalse
app-20220209230506-003124WholeStageCodegen (4)WholeStageCodegen (4)8.096863440true38Sort41false
app-20220209230506-003124BroadcastHashJoinnull5.09012true39nullnullfalse
app-20220209230506-00310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8044true36nullnullfalse
app-20220209230506-00317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124HashAggregatenull4.506true39nullnullfalse
app-20220209230506-00314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0017truenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0067false34nullnulltrue
app-20220209230506-003124Scan parquet null3.061868true34nullnullfalse
app-20220209230506-003124WholeStageCodegen (5)WholeStageCodegen (5)12.85158104722true38Project:SortMergeJoin23:24false
app-20220209230506-003124Scan parquet null3.02823131true35nullnullfalse
app-20220209230506-003124Filternull2.8072true31nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0045false36nullnulltrue
app-20220209230506-00313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0071truenullnullnullfalse
app-20220209230506-003124Projectnull3.007truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (14)WholeStageCodegen (14)5.4412225455true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14:15:16:17:18false
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963550true31Project:Filter:ColumnarToRow51:52:53false
app-20220209230506-003124Scan parquet null3.061839true34nullnullfalse
app-20220209230506-003124Filternull2.8082true32nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0169675truenullnullnullfalse
app-20220209230506-003124Scan parquet null3.080779true33nullnullfalse
app-20220209230506-003124SubqueryBroadcastnull3.0171047truenullnullnullfalse
app-20220209230506-003124Projectnull3.0013truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0166134truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (2)WholeStageCodegen (2)8.0104414825true38Sort26false
app-20220209230506-003124BroadcastExchangenull3.0166163truenullnullnullfalse
app-20220209230506-003123Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963735true34Project:Filter:ColumnarToRow36:37:38false
app-20220209230506-003124SubqueryBroadcastnull3.0171062truenullnullnullfalse
app-20220209230506-003124Projectnull3.0065truenullnullnullfalse
app-20220209230506-003124TakeOrderedAndProjectnull3.001true40:41nullnullfalse
app-20220209230506-003124Filternull2.8066true34nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0060false37nullnulltrue
app-20220209230506-003124ReusedExchangenull1.0033falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2997321true38:39nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0078false33nullnulltrue
app-20220209230506-003124SubqueryBroadcastnull3.0168032truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (1)WholeStageCodegen (1)2.86176328true35Filter:ColumnarToRow29:30false
app-20220209230506-003114Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Sortnull8.0041true38nullnullfalse
app-20220209230506-00315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ReusedExchangenull1.0048falsenullnullnullfalse
app-20220209232634-007024Windownull3.005truenullnullnullfalse
app-20220209232634-007024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5010true35nullnullfalse
app-20220209232634-00705Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0022truenullnullnullfalse
app-20220209232634-00707Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00702Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Scan parquet null3.029742true33nullnullfalse
app-20220209232634-007024Scan parquet null3.049647true32nullnullfalse
app-20220209232634-007014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00701Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00703Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (5)WholeStageCodegen (5)4.51701719true35HashAggregate10false
app-20220209232634-007024Filternull2.8026true34nullnullfalse
app-20220209232634-007024Sortnull8.007true36nullnullfalse
app-20220209232634-007024ColumnarToRownull1.0035false33nullnulltrue
app-20220209232634-007020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0039truenullnullnullfalse
app-20220209232634-007024Projectnull3.0033truenullnullnullfalse
app-20220209232634-007016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0046false32nullnulltrue
app-20220209232634-007024WholeStageCodegen (4)WholeStageCodegen (4)3.95123396612true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow13:14:15:16:17:18:19:26:27false
app-20220209232634-007024Exchangenull4.28426111true34:35nullnullfalse
app-20220209232634-00708Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (1)WholeStageCodegen (1)2.9304421true31Project:Filter:ColumnarToRow22:23:24false
app-20220209232634-007024BroadcastExchangenull3.0146043truenullnullnullfalse
app-20220209232634-007024SubqueryBroadcastnull3.0112129truenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (3)WholeStageCodegen (3)2.850244true32Filter:ColumnarToRow45:46false
app-20220209232634-007024WholeStageCodegen (6)WholeStageCodegen (6)8.01345746true36Sort7false
app-20220209232634-007010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0111031truenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09017true34nullnullfalse
app-20220209232634-007012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0041false33nullnulltrue
app-20220209232634-007024TakeOrderedAndProjectnull3.001true36:37nullnullfalse
app-20220209232634-007024Filternull2.8040true33nullnullfalse
app-20220209232634-00704Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Exchangenull4.2328true35:36nullnullfalse
app-20220209232634-007024Projectnull3.003truenullnullnullfalse
app-20220209232634-007021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00709Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931638true33Project:Filter:ColumnarToRow39:40:41false
app-20220209232634-007024ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09015true34nullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09019true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931632true33Project:Filter:ColumnarToRow33:34:35false
app-20220209232634-007024Filternull2.8023true31nullnullfalse
app-20220209232634-007022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0027false34nullnulltrue
app-20220209232634-007024Scan parquet null3.029736true33nullnullfalse
app-20220209232634-007024Filternull2.8045true32nullnullfalse
app-20220209232634-007024Projectnull3.0016truenullnullnullfalse
app-20220209232634-007017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0172620truenullnullnullfalse
app-20220209232634-007018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0024false31nullnulltrue
app-20220209232634-007024Projectnull3.0014truenullnullnullfalse
app-20220209232634-00706Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0018truenullnullnullfalse
app-20220209232634-007024Filternull1.004false36nullnullfalse
app-20220209232634-007024Scan parquet null3.065125328true34nullnullfalse
app-20220209232634-007011Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00700Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5013true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (7)WholeStageCodegen (7)2.056212true36Project:Filter3:4false
app-20220209232634-007024BroadcastExchangenull3.0111037truenullnullnullfalse
app-20220209232634-007024Scan parquet null3.0291325true31nullnullfalse
app-20220209232634-007024Filternull2.8034true33nullnullfalse
app-20220209232634-007023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00262Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (3)WholeStageCodegen (3)2.846537true33Filter:ColumnarToRow38:39false
app-20220209225845-002624SubqueryBroadcastnull3.0160817truenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09013true34nullnullfalse
app-20220209225845-002617Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Exchangenull4.242414true34:35nullnullfalse
app-20220209225845-002624ColumnarToRownull1.0039false33nullnulltrue
app-20220209225845-002614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068724true31nullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09011true34nullnullfalse
app-20220209225845-002613Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002622Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.07024716true34nullnullfalse
app-20220209225845-002624Projectnull3.008truenullnullnullfalse
app-20220209225845-00268Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002610Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (4)WholeStageCodegen (4)3.844430465true34HashAggregate:Expand:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:11:12:13:14:15false
app-20220209225845-002624Projectnull3.0010truenullnullnullfalse
app-20220209225845-002624HashAggregatenull4.506true34nullnullfalse
app-20220209225845-002624Filternull2.8028true31nullnullfalse
app-20220209225845-00266Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Projectnull3.0012truenullnullnullfalse
app-20220209225845-00263Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Filternull2.8038true33nullnullfalse
app-20220209225845-002624Projectnull3.0021truenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (2)WholeStageCodegen (2)2.8254432true32Filter:ColumnarToRow33:34false
app-20220209225845-002624Filternull2.8014true34nullnullfalse
app-20220209225845-00267Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00265Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00269Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.0909true34nullnullfalse
app-20220209225845-002623Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0029false31nullnulltrue
app-20220209225845-002619Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068730true31nullnullfalse
app-20220209225845-002624Scan parquet null3.0232935true32nullnullfalse
app-20220209225845-002624ReusedExchangenull1.0018falsenullnullnullfalse
app-20220209225845-002618Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Expandnull3.007true34nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158719truenullnullnullfalse
app-20220209225845-002620Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0132636truenullnullnullfalse
app-20220209225845-002624Filternull2.8022true31nullnullfalse
app-20220209225845-002624Projectnull3.0027truenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0023false31nullnulltrue
app-20220209225845-002624Filternull2.8033true32nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158725truenullnullnullfalse
app-20220209225845-002624TakeOrderedAndProjectnull3.001true35:36nullnullfalse
app-20220209225845-002624HashAggregatenull4.503true35nullnullfalse
app-20220209225845-002621Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0034false32nullnulltrue
app-20220209225845-00261Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (5)WholeStageCodegen (5)4.54723102true35HashAggregate3false
app-20220209225845-002624BroadcastExchangenull3.0190531truenullnullnullfalse
app-20220209225845-002615Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002612Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00260Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970726true31Project:Filter:ColumnarToRow27:28:29false
app-20220209225845-002624ColumnarToRownull1.0015false34nullnulltrue
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970720true31Project:Filter:ColumnarToRow21:22:23false
app-20220209225845-002624Scan parquet null3.046240true33nullnullfalse
app-20220209225845-002624Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209225845-00264Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01031Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (5)WholeStageCodegen (5)5.172152true36Project:Sort:HashAggregate3:4:5false
app-20220209235526-010319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09010true34nullnullfalse
app-20220209235526-010310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01039Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01030Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01033Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0011truenullnullnullfalse
app-20220209235526-01036Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.009truenullnullnullfalse
app-20220209235526-01037Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09012true34nullnullfalse
app-20220209235526-010324ColumnarToRownull1.0035false31nullnulltrue
app-20220209235526-010324BroadcastExchangenull3.0130719truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0023false33nullnulltrue
app-20220209235526-01034Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0017false34nullnulltrue
app-20220209235526-010322Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.0105143618true34nullnullfalse
app-20220209235526-010315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0027truenullnullnullfalse
app-20220209235526-010324HashAggregatenull4.508true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0147031truenullnullnullfalse
app-20220209235526-010316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.060536true31nullnullfalse
app-20220209235526-010324Filternull2.8016true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0114625truenullnullnullfalse
app-20220209235526-01032Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.028330true32nullnullfalse
app-20220209235526-010321Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0021truenullnullnullfalse
app-20220209235526-010324Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0029false32nullnulltrue
app-20220209235526-010318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0015truenullnullnullfalse
app-20220209235526-010324Filternull2.8034true31nullnullfalse
app-20220209235526-010324Filternull2.8028true32nullnullfalse
app-20220209235526-010311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010323Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235526-010324Sortnull8.004true36nullnullfalse
app-20220209235526-010317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010320Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09014true34nullnullfalse
app-20220209235526-010324Scan parquet null3.049224true33nullnullfalse
app-20220209235526-010324WholeStageCodegen (1)WholeStageCodegen (1)2.949820true33Project:Filter:ColumnarToRow21:22:23false
app-20220209235526-010324WholeStageCodegen (4)WholeStageCodegen (4)3.8415773287true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow8:9:10:11:12:13:14:15:16:17false
app-20220209235526-010324Projectnull3.0013truenullnullnullfalse
app-20220209235526-010324Projectnull3.0033truenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (2)WholeStageCodegen (2)2.930326true32Project:Filter:ColumnarToRow27:28:29false
app-20220209235526-01035Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Filternull2.8022true33nullnullfalse
app-20220209235526-010324HashAggregatenull4.505true36nullnullfalse
app-20220209235526-010324WholeStageCodegen (3)WholeStageCodegen (3)2.961032true31Project:Filter:ColumnarToRow33:34:35false
app-20220209235526-01038Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Exchangenull4.222986true34:36nullnullfalse
app-20220209235526-010324Projectnull3.003truenullnullnullfalse
app-20220209231919-005716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00579Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231919-005724Exchangenull4.251124true34:36nullnullfalse
app-20220209231919-005714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.029836true32nullnullfalse
app-20220209231919-005724Projectnull3.0033truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (4)WholeStageCodegen (4)8.01353893522true36Sort23false
app-20220209231919-00570Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8019true35nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931648true32Project:Filter:ColumnarToRow49:50:51false
app-20220209231919-00574Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8044true31nullnullfalse
app-20220209231919-005724Scan parquet null3.028546true31nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0045false31nullnulltrue
app-20220209231919-005724BroadcastExchangenull3.0120831truenullnullnullfalse
app-20220209231919-00573Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724SortMergeJoinnull22.7014true36nullnullfalse
app-20220209231919-005724Projectnull3.0013truenullnullnullfalse
app-20220209231919-005717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8034true32nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0040false33nullnulltrue
app-20220209231919-005724Exchangenull4.214647617true35:36nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0027false34nullnulltrue
app-20220209231919-005724Scan parquet null3.029852true32nullnullfalse
app-20220209231919-005724SubqueryBroadcastnull3.0123429truenullnullnullfalse
app-20220209231919-00571Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (8)WholeStageCodegen (8)6.0675557345true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14false
app-20220209231919-005721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Projectnull3.009truenullnullnullfalse
app-20220209231919-005724Filternull2.8026true34nullnullfalse
app-20220209231919-005713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (3)WholeStageCodegen (3)2.87635225true34Filter:ColumnarToRow26:27false
app-20220209231919-00577Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724TakeOrderedAndProjectnull3.001true37:38nullnullfalse
app-20220209231919-005724Filternull2.8039true33nullnullfalse
app-20220209231919-005724Projectnull3.0011truenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0035false32nullnulltrue
app-20220209231919-005724Scan parquet null3.028941true33nullnullfalse
app-20220209231919-005724Exchangenull4.214924true36:37nullnullfalse
app-20220209231919-005718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.503true37nullnullfalse
app-20220209231919-00575Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (6)WholeStageCodegen (6)2.831343true31Filter:ColumnarToRow44:45false
app-20220209231919-005724WholeStageCodegen (2)WholeStageCodegen (2)8.02180315true36Sort16false
app-20220209231919-005711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (5)WholeStageCodegen (5)2.830238true33Filter:ColumnarToRow39:40false
app-20220209231919-005724ColumnarToRownull1.0020false35nullnulltrue
app-20220209231919-005724Sortnull8.0016true36nullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09010true36nullnullfalse
app-20220209231919-005723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.04765328true34nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0120847truenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.506true36nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0121437truenullnullnullfalse
app-20220209231919-005724Scan parquet null3.0147268121true35nullnullfalse
app-20220209231919-005724Sortnull8.0023true36nullnullfalse
app-20220209231919-005724ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09012true36nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931632true32Project:Filter:ColumnarToRow33:34:35false
app-20220209231919-00576Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0051false32nullnulltrue
app-20220209231919-005724BroadcastHashJoinnull5.0908true36nullnullfalse
app-20220209231919-005724Projectnull3.0049truenullnullnullfalse
app-20220209231919-005722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00572Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0125842truenullnullnullfalse
app-20220209231919-005724Projectnull3.007truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (9)WholeStageCodegen (9)4.5841222true37HashAggregate3false
app-20220209231919-00578Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8050true32nullnullfalse
app-20220209231919-005720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (1)WholeStageCodegen (1)2.8441400118true35Filter:ColumnarToRow19:20false
app-20220209231533-00509Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8014true32nullnullfalse
app-20220209231533-005024WholeStageCodegen (4)WholeStageCodegen (4)4.5804502true34HashAggregate3false
app-20220209231533-005024BroadcastHashJoinnull5.09010true33nullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0143211truenullnullnullfalse
app-20220209231533-005024SubqueryBroadcastnull3.0144220truenullnullnullfalse
app-20220209231533-005018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0146121truenullnullnullfalse
app-20220209231533-005024Projectnull3.0023truenullnullnullfalse
app-20220209231533-00507Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8017true33nullnullfalse
app-20220209231533-005014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8024true31nullnullfalse
app-20220209231533-005024HashAggregatenull4.506true33nullnullfalse
app-20220209231533-00502Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0025false31nullnulltrue
app-20220209231533-00506Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.054616true32nullnullfalse
app-20220209231533-005010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.072029019true33nullnullfalse
app-20220209231533-005024WholeStageCodegen (2)WholeStageCodegen (2)2.966122true31Project:Filter:ColumnarToRow23:24:25false
app-20220209231533-005017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024HashAggregatenull4.503true34nullnullfalse
app-20220209231533-005024TakeOrderedAndProjectnull3.001true34:35nullnullfalse
app-20220209231533-005019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0018false33nullnulltrue
app-20220209231533-005024BroadcastHashJoinnull5.0908true33nullnullfalse
app-20220209231533-005013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Projectnull3.0013truenullnullnullfalse
app-20220209231533-005021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0015false32nullnulltrue
app-20220209231533-00508Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.065226true31nullnullfalse
app-20220209231533-005024WholeStageCodegen (3)WholeStageCodegen (3)3.9214097295true33HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:17:18false
app-20220209231533-005024Projectnull3.009truenullnullnullfalse
app-20220209231533-00504Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00501Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00500Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00505Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024WholeStageCodegen (1)WholeStageCodegen (1)2.956612true32Project:Filter:ColumnarToRow13:14:15false
app-20220209231533-00503Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231533-005024Projectnull3.007truenullnullnullfalse
app-20220209231533-005024Exchangenull4.2115424true33:34nullnullfalse
app-20220209231533-005011Execute CreateViewCommandnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen3.7503true6HashAggregate:Project4:5false
application_1665146417445_00020CollectLimitnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen4.500true7HashAggregate1false
application_1665146417445_00021Projectnull3.001truenullnullnullfalse
application_1665146417445_00020WholeStageCodegenWholeStageCodegen3.001truenullProject2false
application_1665146417445_00021WholeStageCodegenWholeStageCodegen3.000true1Project1false
application_1665146417445_00023Exchangenull4.206true5nullnullfalse
application_1665146417445_00022HashAggregatenull4.501true4nullnullfalse
application_1665146417445_00022HashAggregatenull4.506true3nullnullfalse
application_1665146417445_00022HashAggregatenull4.504true3nullnullfalse
application_1665146417445_00021Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_mapnull1.002false1nullnullfalse
application_1665146417445_00022Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.008false2nullnullfalse
application_1665146417445_00020Projectnull3.002truenullnullnullfalse
application_1665146417445_00023HashAggregatenull4.504true6nullnullfalse
application_1665146417445_00023HashAggregatenull4.501true7nullnullfalse
application_1665146417445_00023Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.007false5nullnullfalse
application_1665146417445_00022HashAggregatenull4.505true3nullnullfalse
application_1665146417445_00020Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.003false0nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.500true4HashAggregate1false
application_1665146417445_00023Projectnull3.005truenullnullnullfalse
application_1665146417445_00022Exchangenull4.202true3nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.503true3HashAggregate:HashAggregate:HashAggregate4:5:6false
application_1665146417445_00022Exchangenull4.207true2nullnullfalse
application_1665146417445_00023Exchangenull4.202true6nullnullfalse
app-20220209230053-002824Exchangenull4.23630436true49:50nullnullfalse
app-20220209230053-002824Exchangenull4.2164896true37:38nullnullfalse
app-20220209230053-002824WholeStageCodegen (35)WholeStageCodegen (35)8.09740356227true52Sort228false
app-20220209230053-002824Projectnull3.00155truenullnullnullfalse
app-20220209230053-00284Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00204truenullnullnullfalse
app-20220209230053-002824Projectnull3.00143truenullnullnullfalse
app-20220209230053-002824Projectnull3.0072truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.4333255637true49Project:Filter:HashAggregate38:39:40false
app-20220209230053-002824WholeStageCodegen (32)WholeStageCodegen (32)3.0334418172true44Project173false
app-20220209230053-002824SubqueryBroadcastnull3.0160551truenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5043true47nullnullfalse
app-20220209230053-002824Projectnull3.0030truenullnullnullfalse
app-20220209230053-00287Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0017truenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0108202truenullnullnullfalse
app-20220209230053-002815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00283Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.08779181true41nullnullfalse
app-20220209230053-002824Filternull2.8062true33nullnullfalse
app-20220209230053-002824HashAggregatenull1.00224false52nullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.057073819true50Sort20false
app-20220209230053-002824Projectnull3.00225truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00223false52nullnullfalse
app-20220209230053-002824Exchangenull4.2309177true41:44nullnullfalse
app-20220209230053-002824TakeOrderedAndProjectnull3.001true53:54nullnullfalse
app-20220209230053-002824WholeStageCodegen (15)WholeStageCodegen (15)2.821724137true45Filter:ColumnarToRow138:139false
app-20220209230053-002824SortMergeJoinnull22.7012true51nullnullfalse
app-20220209230053-002824WholeStageCodegen (23)WholeStageCodegen (23)6.96293476true51HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin7:8:9:10:11false
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.82258215true32Filter:ColumnarToRow216:217false
app-20220209230053-002824SortMergeJoinnull22.70241true52nullnullfalse
app-20220209230053-002824Sortnull8.00228true52nullnullfalse
app-20220209230053-002824Projectnull3.00236truenullnullnullfalse
app-20220209230053-002824Filternull2.80189true42nullnullfalse
app-20220209230053-002824Scan parquet null3.028733true31nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00157false31nullnulltrue
app-20220209230053-002824HashAggregatenull4.50193true40nullnullfalse
app-20220209230053-002824Projectnull3.0046truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.81533322true48Filter:ColumnarToRow23:24false
app-20220209230053-00286Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (42)WholeStageCodegen (42)8.07107509242true52Sort243false
app-20220209230053-002824Sortnull8.00233true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0049false47nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)8.07271900120true37Sort121false
app-20220209230053-002824Filternull2.8048true47nullnullfalse
app-20220209230053-002824Exchangenull4.2836815true50:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01206127truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (26)WholeStageCodegen (26)8.0616179175true44Sort176false
app-20220209230053-002824HashAggregatenull1.00163false52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00239false52nullnullfalse
app-20220209230053-002824Sortnull8.00235true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (21)WholeStageCodegen (21)5.671192790141true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin142:143:144:145:146:147:148false
app-20220209230053-002824SortMergeJoinnull22.70226true52nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70104true37nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00118false34nullnulltrue
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954860true33Project:Filter:ColumnarToRow61:62:63false
app-20220209230053-002824BroadcastHashJoinnull5.090165true52nullnullfalse
app-20220209230053-002824Filternull2.8067true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0115228truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00146false51nullnullfalse
app-20220209230053-002824Sortnull8.0020true50nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.948203true39Project:Filter:ColumnarToRow204:205:206false
app-20220209230053-002824Exchangenull4.21065true51:53nullnullfalse
app-20220209230053-002824Exchangenull4.26954171true44:52nullnullfalse
app-20220209230053-002824Scan parquet null3.0203869true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01925214truenullnullnullfalse
app-20220209230053-002824Projectnull3.00173truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (47)WholeStageCodegen (47)6.9658082162true52HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin163:164:165:166:167false
app-20220209230053-002824WholeStageCodegen (13)WholeStageCodegen (13)8.0768468986true51Sort87false
app-20220209230053-002824Sortnull8.00176true44nullnullfalse
app-20220209230053-002811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.50190true42nullnullfalse
app-20220209230053-002824Sortnull8.00152true51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159653truenullnullnullfalse
app-20220209230053-002824Projectnull3.0055truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.924787686192true40HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow193:194:195:196:197:198:199false
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341115true34Project:Filter:ColumnarToRow116:117:118false
app-20220209230053-002824Projectnull3.00221truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (38)WholeStageCodegen (38)5.6715748975219true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin220:221:222:223:224:225:226false
app-20220209230053-00282Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00289Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70167true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (10)WholeStageCodegen (10)2.9162909081true46Project:Filter:ColumnarToRow82:83:84false
app-20220209230053-002824Filternull2.8031true31nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70133true51nullnullfalse
app-20220209230053-00288Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.02038218true32nullnullfalse
app-20220209230053-002824WholeStageCodegen (8)WholeStageCodegen (8)3.031701316true50Project17false
app-20220209230053-002810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090102true37nullnullfalse
app-20220209230053-002824Unionnull3.002truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (45)WholeStageCodegen (45)5.67579620234true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin235:236:237:238:239:240:241false
app-20220209230053-002824HashAggregatenull4.5095true38nullnullfalse
app-20220209230053-002824Sortnull8.00230true52nullnullfalse
app-20220209230053-002824Exchangenull4.257306107true35:37nullnullfalse
app-20220209230053-00281Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01152153truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.0075false51nullnullfalse
app-20220209230053-002824Scan parquet null3.052564true33nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70231true52nullnullfalse
app-20220209230053-002824Sortnull8.00142true51nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00212false33nullnulltrue
app-20220209230053-002824BroadcastExchangenull3.01596208truenullnullnullfalse
app-20220209230053-002824Projectnull3.00210truenullnullnullfalse
app-20220209230053-002824ColumnarToRownull1.0091false43nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.8225866true32Filter:ColumnarToRow67:68false
app-20220209230053-002824Filternull2.80179true41nullnullfalse
app-20220209230053-002824Sortnull8.0079true51nullnullfalse
app-20220209230053-002824Scan parquet null3.01128383111true35nullnullfalse
app-20220209230053-002824Filternull1.0073false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341128true34Project:Filter:ColumnarToRow129:130:131false
app-20220209230053-002824Sortnull8.00245true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0024false48nullnulltrue
app-20220209230053-002824BroadcastHashJoinnull5.090195true40nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.7018true50nullnullfalse
app-20220209230053-002824HashAggregatenull1.004false53nullnullfalse
app-20220209230053-002824Projectnull3.00196truenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.01212112truenullnullnullfalse
app-20220209230053-002824Filternull1.00144false51nullnullfalse
app-20220209230053-002823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.2374136true45:52:51nullnullfalse
app-20220209230053-002817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5098true37nullnullfalse
app-20220209230053-002824Filternull2.80216true32nullnullfalse
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Showing the first 1000 rows.
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template","dashboards":[{"elements":[],"guid":"0ed3c80b-b2f6-4c89-9a92-1af2f168d5ea","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2721260844584915,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"ab4cecf9-0471-4fee-aa33-8927bb7e1bb1","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2721260844584916,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":551,"breakBefore":false},{"name":"output_path","width":551,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"88986aa6-6e67-4d09-aeeb-7c96ea1ea8f1","currentValue":"/dbfs/user1/qualification_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"0b9846bd-5c3e-4ae2-ba00-80bb9da1ee32","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2721260844584890}},"nbformat":4,"nbformat_minor":0} From 5482d26a7a3b0e051b47451291d89360e708d4ae Mon Sep 17 00:00:00 2001 From: liyuan <84758614+nvliyuan@users.noreply.github.com> Date: Wed, 15 Mar 2023 12:13:04 +0800 Subject: [PATCH 2/4] update the dependency version to v23.04 (#283) * update the dependency version Signed-off-by: liyuan * upadate version Signed-off-by: liyuan --------- Signed-off-by: liyuan --- examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile | 2 +- examples/ML+DL-Examples/Spark-cuML/pca/README.md | 2 +- examples/ML+DL-Examples/Spark-cuML/pca/pom.xml | 4 ++-- examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh | 6 +++--- .../micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb | 2 +- examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml | 4 ++-- .../RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt | 6 +++--- examples/UDF-Examples/Spark-cuSpatial/gpu-run.sh | 2 +- .../notebooks/cuspatial_sample_standalone.ipynb | 2 +- examples/UDF-Examples/Spark-cuSpatial/pom.xml | 4 ++-- .../Spark-cuSpatial/src/main/native/CMakeLists.txt | 2 +- .../mortgage/notebooks/python/cv-mortgage-gpu.ipynb | 2 +- .../mortgage/notebooks/scala/mortgage-ETL.ipynb | 2 +- .../XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb | 2 +- .../XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb | 2 +- 15 files changed, 22 insertions(+), 22 deletions(-) diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile index 062769258..4ae6f238c 100644 --- a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile +++ b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile @@ -17,7 +17,7 @@ ARG CUDA_VER=11.5.1 FROM nvidia/cuda:${CUDA_VER}-devel-ubuntu20.04 -ARG BRANCH_VER=23.02 +ARG BRANCH_VER=23.04 RUN apt-get update RUN apt-get install -y wget ninja-build git diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/README.md b/examples/ML+DL-Examples/Spark-cuML/pca/README.md index 2dee551fe..b9748d9d5 100644 --- a/examples/ML+DL-Examples/Spark-cuML/pca/README.md +++ b/examples/ML+DL-Examples/Spark-cuML/pca/README.md @@ -48,7 +48,7 @@ It is assumed that a Standalone Spark cluster has been set up, the `SPARK_MASTER ``` bash RAPIDS_ML_JAR=PATH_TO_rapids-4-spark-ml_2.12-22.02.0-cuda11.jar - PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar + PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar jupyter toree install \ --spark_home=${SPARK_HOME} \ diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml b/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml index bcdc8192f..103d3a0cc 100644 --- a/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml +++ b/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml @@ -21,7 +21,7 @@ com.nvidia PCAExample jar - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT 8 @@ -51,7 +51,7 @@ com.nvidia rapids-4-spark-ml_2.12 - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh index e0991aa36..7d19018f9 100755 --- a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh +++ b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh @@ -15,8 +15,8 @@ # limitations under the License. # -ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/23.02.0-SNAPSHOT/rapids-4-spark-ml_2.12-23.02.0-SNAPSHOT.jar -PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.02.0-SNAPSHOT/rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar +ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/23.04.0-SNAPSHOT/rapids-4-spark-ml_2.12-23.04.0-SNAPSHOT.jar +PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.04.0-SNAPSHOT/rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar $SPARK_HOME/bin/spark-submit \ --master spark://127.0.0.1:7077 \ @@ -38,4 +38,4 @@ $SPARK_HOME/bin/spark-submit \ --conf spark.network.timeout=1000s \ --jars $ML_JAR,$PLUGIN_JAR \ --class com.nvidia.spark.examples.pca.Main \ -/workspace/target/PCAExample-23.02.0-SNAPSHOT.jar +/workspace/target/PCAExample-23.04.0-SNAPSHOT.jar diff --git a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb index d900a2ec3..0a672cc09 100644 --- a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb +++ b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb @@ -22,7 +22,7 @@ "import os\n", "# Change to your cluster ip:port and directories\n", "SPARK_MASTER_URL = os.getenv(\"SPARK_MASTER_URL\", \"spark:your-ip:port\")\n", - "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar\")\n" + "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.02.0.jar\")\n" ] }, { diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml index ea9a25dac..86fe01fde 100644 --- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml +++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml @@ -25,7 +25,7 @@ user defined functions for use with the RAPIDS Accelerator for Apache Spark - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT 1.8 @@ -37,7 +37,7 @@ cuda11 2.12 - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT 3.1.1 2.12.15 ${project.build.directory}/cpp-build diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt index e9f365484..19f9633ea 100755 --- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt +++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt @@ -16,7 +16,7 @@ cmake_minimum_required(VERSION 3.23.1 FATAL_ERROR) -file(DOWNLOAD https://raw.githubusercontent.com/rapidsai/rapids-cmake/branch-23.02/RAPIDS.cmake +file(DOWNLOAD https://raw.githubusercontent.com/rapidsai/rapids-cmake/branch-23.04/RAPIDS.cmake ${CMAKE_BINARY_DIR}/RAPIDS.cmake) include(${CMAKE_BINARY_DIR}/RAPIDS.cmake) @@ -84,10 +84,10 @@ set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -w --expt-extended-lambda --expt-relax set(CUDA_USE_STATIC_CUDA_RUNTIME OFF) rapids_cpm_init() -rapids_cpm_find(cudf 23.02.00 +rapids_cpm_find(cudf 23.04.00 CPM_ARGS GIT_REPOSITORY https://github.com/rapidsai/cudf.git - GIT_TAG branch-23.02 + GIT_TAG branch-23.04 GIT_SHALLOW TRUE SOURCE_SUBDIR cpp OPTIONS "BUILD_TESTS OFF" diff --git a/examples/UDF-Examples/Spark-cuSpatial/gpu-run.sh b/examples/UDF-Examples/Spark-cuSpatial/gpu-run.sh index bd675849d..5a3a91265 100755 --- a/examples/UDF-Examples/Spark-cuSpatial/gpu-run.sh +++ b/examples/UDF-Examples/Spark-cuSpatial/gpu-run.sh @@ -31,7 +31,7 @@ rm -rf $DATA_OUT_PATH # the path to keep the jars of spark-rapids & spark-cuspatial JARS=$ROOT_PATH/jars -JARS_PATH=${JARS_PATH:-$JARS/rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar,$JARS/spark-cuspatial-23.02.0-SNAPSHOT.jar} +JARS_PATH=${JARS_PATH:-$JARS/rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar,$JARS/spark-cuspatial-23.04.0-SNAPSHOT.jar} $SPARK_HOME/bin/spark-submit --master spark://$HOSTNAME:7077 \ --name "Gpu Spatial Join UDF" \ diff --git a/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb b/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb index 1fd1c4855..0bdf84ad8 100644 --- a/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb +++ b/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb @@ -9,7 +9,7 @@ "source": [ "from pyspark.sql import SparkSession\n", "import os\n", - "jarsPath = os.getenv(\"JARS_PATH\", \"/data/cuspatial_data/jars/rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar,/data/cuspatial_data/jars/spark-cuspatial-23.02.0-SNAPSHOT.jar\")\n", + "jarsPath = os.getenv(\"JARS_PATH\", \"/data/cuspatial_data/jars/rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar,/data/cuspatial_data/jars/spark-cuspatial-23.04.0-SNAPSHOT.jar\")\n", "spark = SparkSession.builder \\\n", " .config(\"spark.jars\", jarsPath) \\\n", " .config(\"spark.sql.adaptive.enabled\", \"false\") \\\n", diff --git a/examples/UDF-Examples/Spark-cuSpatial/pom.xml b/examples/UDF-Examples/Spark-cuSpatial/pom.xml index dd81a615a..1eddb8909 100644 --- a/examples/UDF-Examples/Spark-cuSpatial/pom.xml +++ b/examples/UDF-Examples/Spark-cuSpatial/pom.xml @@ -24,13 +24,13 @@ UDF of the cuSpatial case for the RAPIDS Accelerator The RAPIDS accelerated user defined function of the cuSpatial case for use with the RAPIDS Accelerator for Apache Spark - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT 1.8 1.8 8 - 23.02.0-SNAPSHOT + 23.04.0-SNAPSHOT 2.12 3.2.0 ${project.build.directory}/cpp-build diff --git a/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt b/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt index 4cf897378..09124da0e 100755 --- a/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt +++ b/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt @@ -16,7 +16,7 @@ cmake_minimum_required(VERSION 3.20.1 FATAL_ERROR) -project(SPATIALUDJNI VERSION 23.02.0 LANGUAGES C CXX CUDA) +project(SPATIALUDJNI VERSION 23.04.0 LANGUAGES C CXX CUDA) ################################################################################################### # - build type ------------------------------------------------------------------------------------ diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb index 971ffdc6a..f2675ac93 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb @@ -63,7 +63,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-25 09:34:43,952 WARN resource.ResourceUtils: The configuration of cores (exec = 4 task = 1, runnable tasks = 4) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0-SNAPSHOT using cudf 23.02.0-SNAPSHOT.\n", + "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", "2022-11-25 09:34:58,171 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n" diff --git a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb index 991d41e6f..59a46d35b 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb @@ -27,7 +27,7 @@ "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar\n", "\n", "```\n", "\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb index e10fb4cbb..3076221d5 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb @@ -26,7 +26,7 @@ "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", "$ export PYSPARK_DRIVER_PYTHON=jupyter \n", "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n", "```\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb index bcdcb89f8..8e44644a6 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb @@ -26,7 +26,7 @@ "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", "\n", "```\n", "\n", From 661221716c916b10bb9d9ef9ae25e44747e82863 Mon Sep 17 00:00:00 2001 From: Peixin Date: Tue, 28 Mar 2023 11:35:28 +0800 Subject: [PATCH 3/4] enable automerge from 2304 to 2306 (#284) Signed-off-by: Peixin Li --- .github/workflows/auto-merge.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/auto-merge.yml b/.github/workflows/auto-merge.yml index c9832fa53..e6b3b9afa 100644 --- a/.github/workflows/auto-merge.yml +++ b/.github/workflows/auto-merge.yml @@ -18,7 +18,7 @@ name: auto-merge HEAD to BASE on: pull_request_target: branches: - - branch-23.02 + - branch-23.04 types: [closed] jobs: @@ -29,14 +29,14 @@ jobs: steps: - uses: actions/checkout@v3 with: - ref: branch-23.02 # force to fetch from latest upstream instead of PR ref + ref: branch-23.04 # force to fetch from latest upstream instead of PR ref - name: auto-merge job uses: ./.github/workflows/auto-merge env: OWNER: NVIDIA REPO_NAME: spark-rapids-examples - HEAD: branch-23.02 - BASE: branch-23.04 + HEAD: branch-23.04 + BASE: branch-23.06 AUTOMERGE_TOKEN: ${{ secrets.AUTOMERGE_TOKEN }} # use to merge PR From 0498503f13175e5bd170c91ba92b8f5ec5d3254f Mon Sep 17 00:00:00 2001 From: liyuan <84758614+nvliyuan@users.noreply.github.com> Date: Thu, 27 Apr 2023 16:41:26 +0800 Subject: [PATCH 4/4] v23.04 release links updates (#287) * v2304 release update links Signed-off-by: liyuan * update recommended plugin version for databricks11.3 from v2302 to v2304 Signed-off-by: liyuan --------- Signed-off-by: liyuan --- .../csp/databricks/databricks.md | 54 ++++++------------ .../generate-init-script-10.4.ipynb | 6 +- .../generate-init-script-11.3.ipynb | 6 +- .../csp/databricks/generate-init-script.ipynb | 6 +- .../xgboost-examples/csp/dataproc/gcp.md | 2 +- .../on-prem-cluster/kubernetes-scala.md | 2 +- .../preparation-python.md | 2 +- .../prepare-package-data/preparation-scala.md | 2 +- docs/img/databricks/sparkconfig.png | Bin 34869 -> 30030 bytes .../ML+DL-Examples/Spark-cuML/pca/README.md | 2 +- .../notebooks/micro-benchmarks-gpu.ipynb | 2 +- .../RAPIDS-accelerated-UDFs/README.md | 2 +- .../src/main/cpp/CMakeLists.txt | 2 +- .../Spark-cuSpatial/Dockerfile.awsdb | 2 +- .../UDF-Examples/Spark-cuSpatial/README.md | 6 +- .../notebooks/python/agaricus-gpu.ipynb | 2 +- .../python/MortgageETL+XGBoost.ipynb | 2 +- .../notebooks/python/MortgageETL.ipynb | 6 +- .../notebooks/python/cv-mortgage-gpu.ipynb | 2 +- .../notebooks/python/mortgage-gpu.ipynb | 2 +- .../notebooks/scala/mortgage-ETL.ipynb | 6 +- .../taxi/notebooks/python/cv-taxi-gpu.ipynb | 2 +- .../taxi/notebooks/python/taxi-ETL.ipynb | 4 +- .../taxi/notebooks/python/taxi-gpu.ipynb | 2 +- .../taxi/notebooks/scala/taxi-ETL.ipynb | 4 +- ...rk] Profiling Tool Notebook Template.ipynb | 2 +- ...Qualification Tool Notebook Template.ipynb | 2 +- 27 files changed, 58 insertions(+), 74 deletions(-) diff --git a/docs/get-started/xgboost-examples/csp/databricks/databricks.md b/docs/get-started/xgboost-examples/csp/databricks/databricks.md index 6350c6f04..012c59e17 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/databricks.md +++ b/docs/get-started/xgboost-examples/csp/databricks/databricks.md @@ -6,9 +6,9 @@ This is a getting started guide to XGBoost4J-Spark on Databricks. At the end of Prerequisites ------------- - * Apache Spark 3.x running in Databricks Runtime 9.1 ML, 10.4 ML or 11.3 ML with GPU - * AWS: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2), 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) - * Azure: 9.1 LTS ML (GPU, Scala 2.12, Spark 3.1.2) or 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) + * Apache Spark 3.x running in Databricks Runtime 10.4 ML or 11.3 ML with GPU + * AWS: 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) + * Azure: 10.4 LTS ML (GPU, Scala 2.12, Spark 3.2.1) or 11.3 LTS ML (GPU, Scala 2.12, Spark 3.3.0) The number of GPUs per node dictates the number of Spark executors that can run in that node. Each executor should only be allowed to run 1 task at any given time. @@ -37,26 +37,18 @@ cluster. your workspace. See [Managing Notebooks](https://docs.databricks.com/notebooks/notebooks-manage.html#id2) for instructions on how to import a notebook. - Select the initialization script based on the Databricks runtime + Select the version of the RAPIDS Accelerator for Apache Spark based on the Databricks runtime version: - - - [Databricks 9.1 LTS - ML](https://docs.databricks.com/release-notes/runtime/9.1ml.html#system-environment) has CUDA 11 - installed. Users will need to use 21.12.0 or later on Databricks 9.1 LTS ML. In this case use - [generate-init-script.ipynb](generate-init-script.ipynb) which will install - the RAPIDS Spark plugin. - - - [Databricks 10.4 LTS - ML](https://docs.databricks.com/release-notes/runtime/9.1ml.html#system-environment) has CUDA 11 - installed. Users will need to use 22.04.0 or later on Databricks 10.4 LTS ML. In this case use - [generate-init-script-10.4.ipynb](generate-init-script-10.4.ipynb) which will install - the RAPIDS Spark plugin. - - - [Databricks 11.3 LTS - ML](https://docs.databricks.com/release-notes/runtime/11.3ml.html#system-environment) has CUDA 11 - installed. Users will need to use 23.02.0 or later on Databricks 11.3 LTS ML. In this case use - [generate-init-script-11.3.ipynb](generate-init-script-11.3.ipynb) which will install - the RAPIDS Spark plugin. + - [Databricks 10.4 LTS + ML](https://docs.databricks.com/release-notes/runtime/10.4ml.html#system-environment) has CUDA 11 + installed. Users will need to use 22.04.0 or later on Databricks 10.4 LTS ML. + - [Databricks 11.3 LTS + ML](https://docs.databricks.com/release-notes/runtime/11.3ml.html#system-environment) has CUDA 11 + installed. Users will need to use 23.04.0 or later on Databricks 11.3 LTS ML. + + In both cases use + [generate-init-script.ipynb](./generate-init-script.ipynb) which will install + the RAPIDS Spark plugin. 2. Once you are in the notebook, click the “Run All” button. 3. Ensure that the newly created init.sh script is present in the output from cell 2 and that the @@ -77,21 +69,17 @@ cluster. The [`spark.task.resource.gpu.amount`](https://spark.apache.org/docs/latest/configuration.html#scheduling) configuration is defaulted to 1 by Databricks. That means that only 1 task can run on an - executor with 1 GPU, which is limiting, especially on the reads and writes from Parquet. Set + executor with 1 GPU, which is limiting, especially on the reads and writes from Parquet. Set this to 1/(number of cores per executor) which will allow multiple tasks to run in parallel just - like the CPU side. Having the value smaller is fine as well. - - There is an incompatibility between the Databricks specific implementation of adaptive query - execution (AQE) and the spark-rapids plugin. In order to mitigate this, - `spark.sql.adaptive.enabled` should be set to false. In addition, the plugin does not work with - the Databricks `spark.databricks.delta.optimizeWrite` option. + like the CPU side. Having the value smaller is fine as well. + Note: Please remove the `spark.task.resource.gpu.amount` config for a single-node Databricks + cluster because Spark local mode does not support GPU scheduling. ```bash spark.plugins com.nvidia.spark.SQLPlugin spark.task.resource.gpu.amount 0.1 spark.rapids.memory.pinnedPool.size 2G spark.rapids.sql.concurrentGpuTasks 2 - spark.databricks.optimizer.dynamicFilePruning false ``` ![Spark Config](../../../../img/databricks/sparkconfig.png) @@ -196,8 +184,4 @@ Limitations 5. In Databricks 11.3, an incorrect result is returned for window frames defined by a range in case of DecimalTypes with precision greater than 38. There is a bug filed in Apache Spark for it [here](https://issues.apache.org/jira/browse/SPARK-41793), whereas when using the plugin the - correct result will be returned. - -6. A query may fail when Dynamic File Pruning is enabled. As a workaround, please - disable the feature by setting `spark.databricks.optimizer.dynamicFilePruning false`. More details - are in [issue-7648](https://github.com/NVIDIA/spark-rapids/issues/7648). \ No newline at end of file + correct result will be returned. \ No newline at end of file diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb index cd12c02cd..c3c19f153 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb @@ -24,7 +24,7 @@ "source": [ "%sh\n", "cd ../../dbfs/FileStore/jars/\n", - "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", + "sudo wget -O rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar\n", "sudo wget -O xgboost4j-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.1/xgboost4j-gpu_2.12-1.7.1.jar\n", "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.1/xgboost4j-spark-gpu_2.12-1.7.1.jar\n", "ls -ltr\n", @@ -60,7 +60,7 @@ "sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.5.2.jar\n", "\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n", - "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.04.0.jar /databricks/jars/\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)" ] }, @@ -133,7 +133,7 @@ "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n", "2. Reboot the cluster\n", "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n", - "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", + "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", "5. Inside the mortgage example notebook, update the data paths\n", " `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n", " `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`" diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb index 58c724955..fb24ef76e 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script-11.3.ipynb @@ -24,7 +24,7 @@ "source": [ "%sh\n", "cd ../../dbfs/FileStore/jars/\n", - "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", + "sudo wget -O rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar\n", "sudo wget -O xgboost4j-gpu_2.12-1.7.3.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.3/xgboost4j-gpu_2.12-1.7.3.jar\n", "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.3.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.3/xgboost4j-spark-gpu_2.12-1.7.3.jar\n", "ls -ltr\n", @@ -60,7 +60,7 @@ "sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.5.2.jar\n", "\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.3.jar /databricks/jars/\n", - "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.04.0.jar /databricks/jars/\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.3.jar /databricks/jars/\"\"\", True)" ] }, @@ -133,7 +133,7 @@ "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n", "2. Reboot the cluster\n", "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.3.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n", - "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", + "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", "5. Inside the mortgage example notebook, update the data paths\n", " `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n", " `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`" diff --git a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb index 2cdb4e7d1..d96dbe59d 100644 --- a/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb +++ b/docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb @@ -24,7 +24,7 @@ "source": [ "%sh\n", "cd ../../dbfs/FileStore/jars/\n", - "sudo wget -O rapids-4-spark_2.12-23.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar\n", + "sudo wget -O rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar\n", "sudo wget -O xgboost4j-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.1/xgboost4j-gpu_2.12-1.7.1.jar\n", "sudo wget -O xgboost4j-spark-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.1/xgboost4j-spark-gpu_2.12-1.7.1.jar\n", "ls -ltr\n", @@ -60,7 +60,7 @@ "sudo rm -f /databricks/jars/spark--maven-trees--ml--9.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.4.1.jar\n", "\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n", - "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.02.0.jar /databricks/jars/\n", + "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-23.04.0.jar /databricks/jars/\n", "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)" ] }, @@ -133,7 +133,7 @@ "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n", "2. Reboot the cluster\n", "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n", - "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", + "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n", "5. Inside the mortgage example notebook, update the data paths\n", " `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n", " `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`" diff --git a/docs/get-started/xgboost-examples/csp/dataproc/gcp.md b/docs/get-started/xgboost-examples/csp/dataproc/gcp.md index bfbb362b0..f48ad2895 100644 --- a/docs/get-started/xgboost-examples/csp/dataproc/gcp.md +++ b/docs/get-started/xgboost-examples/csp/dataproc/gcp.md @@ -17,7 +17,7 @@ gcloud dataproc clusters create $CLUSTER_NAME \ --region=$REGION \ --image-version=2.0-ubuntu18 \ - --master-machine-type=n1-standard-16 \ + --master-machine-type=n2-standard-16 \ --num-workers=$NUM_WORKERS \ --worker-accelerator=type=nvidia-tesla-t4,count=$NUM_GPUS \ --worker-machine-type=n1-highmem-32\ diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md b/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md index 0014e084a..35c792669 100644 --- a/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md +++ b/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md @@ -40,7 +40,7 @@ export SPARK_DOCKER_IMAGE= export SPARK_DOCKER_TAG= pushd ${SPARK_HOME} -wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-23.02/dockerfile/Dockerfile +wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-23.04/dockerfile/Dockerfile # Optionally install additional jars into ${SPARK_HOME}/jars/ diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md index 716b1fce3..9a868126c 100644 --- a/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md +++ b/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md @@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag ### Download the jars Download the RAPIDS Accelerator for Apache Spark plugin jar - * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) + * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar) ### Build XGBoost Python Examples diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md index c276c7e33..221db8aef 100644 --- a/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md +++ b/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md @@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag ### Download the jars 1. 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a/examples/ML+DL-Examples/Spark-cuML/pca/README.md +++ b/examples/ML+DL-Examples/Spark-cuML/pca/README.md @@ -12,7 +12,7 @@ User can also download the release jar from Maven central: [rapids-4-spark-ml_2.12-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-ml_2.12/22.02.0/rapids-4-spark-ml_2.12-22.02.0-cuda11.jar) -[rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) +[rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar) ## Sample code diff --git a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb index 0a672cc09..db4f49121 100644 --- a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb +++ b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb @@ -22,7 +22,7 @@ "import os\n", "# Change to your cluster ip:port and directories\n", "SPARK_MASTER_URL = os.getenv(\"SPARK_MASTER_URL\", \"spark:your-ip:port\")\n", - "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.02.0.jar\")\n" + "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.04.0.jar\")\n" ] }, { diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md index 31689ce3d..66660c525 100644 --- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md +++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md @@ -108,7 +108,7 @@ See above Prerequisites section First finish the steps in "Building with Native Code Examples and run test cases" section, then do the following in the docker. ### Get jars from Maven Central -[rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) +[rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar) ### Launch a local mode Spark diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt index 19f9633ea..88b60addd 100755 --- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt +++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt @@ -32,7 +32,7 @@ if(DEFINED GPU_ARCHS) endif() rapids_cuda_init_architectures(UDFEXAMPLESJNI) -project(UDFEXAMPLESJNI VERSION 23.02.0 LANGUAGES C CXX CUDA) +project(UDFEXAMPLESJNI VERSION 23.04.0 LANGUAGES C CXX CUDA) option(PER_THREAD_DEFAULT_STREAM "Build with per-thread default stream" OFF) option(BUILD_UDF_BENCHMARKS "Build the benchmarks" OFF) diff --git a/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb b/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb index 8f7bdc660..cb238d440 100644 --- a/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb +++ b/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb @@ -48,7 +48,7 @@ RUN wget -q https://repo.continuum.io/miniconda/Miniconda3-py38_4.9.2-Linux-x86_ conda config --system --set always_yes True && \ conda clean --all -RUN conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.02 +RUN conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.04 RUN conda install -c conda-forge libgdal==3.3.1 RUN pip install jupyter ENV JAVA_HOME /usr/lib/jvm/java-1.8.0-openjdk-amd64 diff --git a/examples/UDF-Examples/Spark-cuSpatial/README.md b/examples/UDF-Examples/Spark-cuSpatial/README.md index 1df90a6b5..bdf7b5c8c 100644 --- a/examples/UDF-Examples/Spark-cuSpatial/README.md +++ b/examples/UDF-Examples/Spark-cuSpatial/README.md @@ -47,7 +47,7 @@ or [in local machine](#build-in-local-machine) after prerequisites. ``` 2. Bash into the Docker and install libcuspatial ```Bash - conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.02 + conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.04 ``` 3. Get the code, then run `mvn package`. ```Bash @@ -69,7 +69,7 @@ Note: The docker env is just for building the jar, not for running the applicati 4. [cuspatial](https://github.com/rapidsai/cuspatial): install libcuspatial ```Bash # Install libcuspatial from conda - conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.02 + conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.04 ``` 5. Build the JAR using `mvn package`. ```Bash @@ -84,7 +84,7 @@ Note: The docker env is just for building the jar, not for running the applicati 1. Set up [a standalone cluster](/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md) of Spark. Make sure the conda/lib is included in LD_LIBRARY_PATH, so that spark executors can load libcuspatial.so. 2. Download Spark RAPIDS JAR - * [Spark RAPIDS JAR v23.02.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) or above + * [Spark RAPIDS JAR v23.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar) or above 3. Prepare sample dataset and JARs. Copy the [sample dataset](../../../datasets/cuspatial_data.tar.gz) to `/data/cuspatial_data/`. Copy Spark RAPIDS JAR and `spark-cuspatial-.jar` to `/data/cuspatial_data/jars/`. If you build the `spark-cuspatial-.jar` in docker, please copy the jar from docker to local: diff --git a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb index 1bea9e864..1f49e9217 100644 --- a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb +++ b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb @@ -73,7 +73,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 06:57:40,550 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", + "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n", "2022-11-30 06:57:54,210 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb index 538a6f3fd..f8013280d 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb @@ -6,7 +6,7 @@ "source": [ "# Dataset\n", "\n", - "Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", + "Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", "\n", "# ETL + XGBoost train & transform\n", "\n", diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb index a10c0d218..6c5238f71 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb @@ -6,10 +6,10 @@ "source": [ "## Prerequirement\n", "### 1. Download data\n", - "Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", + "Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", + "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n", "\n", "\n", "### 3. Start Spark Standalone\n", @@ -17,7 +17,7 @@ "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0.jar\n", "$ export PYSPARK_DRIVER_PYTHON=jupyter \n", "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n", "```\n", diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb index f2675ac93..6dd135f4e 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb @@ -63,7 +63,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-25 09:34:43,952 WARN resource.ResourceUtils: The configuration of cores (exec = 4 task = 1, runnable tasks = 4) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", + "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n", "2022-11-25 09:34:58,171 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n" diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb index ca4abba88..e684a7c7b 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb @@ -84,7 +84,7 @@ "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMaster\n", "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMasterHeartbeat\n", "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering OutputCommitCoordinator\n", - "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", + "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n" diff --git a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb index 59a46d35b..62a16c870 100644 --- a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb +++ b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb @@ -16,11 +16,11 @@ "source": [ "## Prerequirement\n", "### 1. Download data\n", - "\n", - "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.02/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", + "\n", + "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", + "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before Running the script, please setup Spark standalone mode\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb index a4fa3e02d..2846b00cc 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb @@ -62,7 +62,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 08:02:10,103 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", + "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n", "2022-11-30 08:02:23,752 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 08:02:23,756 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 08:02:23,757 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb index 3076221d5..03a7568c2 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb @@ -19,14 +19,14 @@ "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n", "\n", "### 2. Download needed jars\n", - "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", + "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before running the script, please setup Spark standalone mode\n", "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0.jar\n", "$ export PYSPARK_DRIVER_PYTHON=jupyter \n", "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n", "```\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb index 5da98b8c5..6a7acd668 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb @@ -73,7 +73,7 @@ "Setting default log level to \"WARN\".\n", "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n", "2022-11-30 07:51:19,480 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n", - "2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.02.0 using cudf 23.02.0.\n", + "2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n", "2022-11-30 07:51:33,292 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n", "2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n", "2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n", diff --git a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb index 8e44644a6..64d5a6508 100644 --- a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb +++ b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb @@ -19,14 +19,14 @@ "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n", "\n", "### 2. Download needed jar\n", - "* [rapids-4-spark_2.12-23.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar)\n", + "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n", "\n", "### 3. Start Spark Standalone\n", "Before running the script, please setup Spark standalone mode\n", "\n", "### 4. Add ENV\n", "```\n", - "$ export SPARK_JARS=rapids-4-spark_2.12-23.02.0.jar\n", + "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0.jar\n", "\n", "```\n", "\n", diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb index 3be966cce..df3fb4bfc 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","source":["# Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark GPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the profiling tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-profiling-tool.html#profiling-tool-options.\n\n## GPU Job Tuning Recommendations\nThis has general suggestions for tuning your applications to run optimally on GPUs.\n\n## Per-Job Profile\nThe profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"5156a76c-7af7-465d-aff4-41a2e54e3595","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.02.0/rapids-4-spark-tools_2.12-23.02.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n\n# Profiling tool output directory.\nOUTPUT_DIR = '/tmp' \n\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[59]: 2011685
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[59]: 2011685
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\") \n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"f0e4371a-d2d9-4449-81ed-8f6c61ae8f80","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["worker_info_path = \"/tmp/worker_info.yaml\"\n\nworker_info = \"\"\"\n system:\n numCores: 32\n memory: 212992MiB\n numWorkers: 5\n gpu:\n memory: 15109MiB\n count: 4\n name: T4\n softwareProperties:\n spark.driver.maxResultSize: 7680m\n spark.driver.memory: 15360m\n spark.executor.cores: '8'\n spark.executor.instances: '2'\n spark.executor.memory: 47222m\n spark.executorEnv.OPENBLAS_NUM_THREADS: '1'\n spark.scheduler.mode: FAIR\n spark.sql.cbo.enabled: 'true'\n spark.ui.port: '0'\n spark.yarn.am.memory: 640m\n\"\"\"\n\nwith open(worker_info_path, 'w') as f:\n f.write(worker_info)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6c35e478-abe6-49b7-97f9-a8aba71f11d3","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.profiling.ProfileMain --csv --worker-info $worker_info_path --auto-tuner -o $outputpath_string $eventlog_string &> /tmp/prof_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"e9e7cecf-c2dc-4a0f-aea1-61a323e4ccc4","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["import os\n\napp_df = pd.DataFrame(columns = ['appId', 'appName'])\n\nfor x in os.scandir(outputpath_string + \"/rapids_4_spark_profile/\"):\n tmp_df = pd.read_csv(x.path + \"/application_information.csv\")\n app_df = app_df.append(tmp_df[['appId', 'appName']])"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"be0a2da7-1ee3-475e-96f9-303779edfd85","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## GPU Job Tuning Recommendations"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"a1e326ec-5701-4b08-ae0f-7df0c8440038","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["app_list = app_df[\"appId\"].tolist()\napp_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n\nfor app in app_list:\n app_file = open(outputpath_string + \"/rapids_4_spark_profile/\" + app + \"/profile.log\")\n recommendations_start = 0\n recommendations_str = \"\"\n for line in app_file:\n if recommendations_start == 1:\n recommendations_str = recommendations_str + line\n if \"### D. Recommended Configuration ###\" in line:\n recommendations_start = 1\n app_recommendations = app_recommendations.append({'app': app, 'recommendations': recommendations_str}, ignore_index=True)\n \ndisplay(app_recommendations)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4979f78c-44a0-4e54-b803-e5e194b71104","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["app-20220210005817-0212","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004538-0189","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000414-0117","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005713-0210","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000744-0123","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002521-0154","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004801-0193","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002620-0156","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001501-0135","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001417-0134","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001930-0143","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005502-0206","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002316-0150","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004324-0185","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005039-0198","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004834-0194","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004011-0180","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004656-0191","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001324-0133","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000856-0125","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000241-0114","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002105-0146","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000312-0115","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003325-0169","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002654-0157","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005425-0205","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000700-0122","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001109-0129","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002138-0147","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001717-0139","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000018-0110","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002725-0158","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000933-0126","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004617-0190","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005846-0213","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002757-0159","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001038-0128","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000628-0121","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001959-0144","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000556-0120","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004727-0192","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005222-0201","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000825-0124","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005536-0207","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001139-0130","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000343-0116","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003705-0176","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003359-0170","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005611-0208","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000119-0112","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005322-0203","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003900-0179","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004355-0186","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001648-0138","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002938-0162","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005354-0204","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001821-0141","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005252-0202","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002452-0153","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001617-0137","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003254-0168","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004507-0188","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001751-0140","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005642-0209","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004905-0195","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003751-0177","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002030-0145","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001854-0142","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002549-0155","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001239-0132","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004428-0187","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002240-0149","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005147-0200","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220523230623-0000","\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n"],["app-20220210000207-0113","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220209235945-0109","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002349-0151","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002421-0152","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000448-0118","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001005-0127","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003149-0166","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003635-0175","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003223-0167","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004041-0181","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003532-0173","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003607-0174","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003048-0164","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004145-0183","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003825-0178","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003118-0165","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000049-0111","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000519-0119","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003015-0163","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005744-0211","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005111-0199","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004217-0184","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002904-0161","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001546-0136","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003503-0172","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001209-0131","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004114-0182","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002208-0148","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002833-0160","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003431-0171","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"app","type":"\"string\"","metadata":"{}"},{"name":"recommendations","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
apprecommendations
app-20220210005817-0212\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004538-0189\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000414-0117\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005713-0210\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000744-0123\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002521-0154\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004801-0193\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002620-0156\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001501-0135\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001417-0134\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001930-0143\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005502-0206\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002316-0150\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004324-0185\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005039-0198\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004834-0194\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004011-0180\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004656-0191\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001324-0133\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000856-0125\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000241-0114\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002105-0146\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000312-0115\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003325-0169\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002654-0157\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005425-0205\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000700-0122\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001109-0129\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002138-0147\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001717-0139\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000018-0110\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002725-0158\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000933-0126\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004617-0190\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005846-0213\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002757-0159\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001038-0128\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000628-0121\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001959-0144\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000556-0120\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004727-0192\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005222-0201\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000825-0124\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005536-0207\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001139-0130\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000343-0116\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003705-0176\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003359-0170\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005611-0208\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000119-0112\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005322-0203\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003900-0179\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004355-0186\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001648-0138\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002938-0162\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005354-0204\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001821-0141\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005252-0202\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002452-0153\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001617-0137\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003254-0168\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004507-0188\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001751-0140\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005642-0209\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004905-0195\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003751-0177\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002030-0145\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001854-0142\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002549-0155\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001239-0132\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004428-0187\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002240-0149\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005147-0200\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220523230623-0000\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n
app-20220210000207-0113\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220209235945-0109\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002349-0151\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002421-0152\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000448-0118\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001005-0127\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003149-0166\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003635-0175\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003223-0167\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004041-0181\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003532-0173\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003607-0174\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003048-0164\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004145-0183\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003825-0178\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003118-0165\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000049-0111\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000519-0119\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003015-0163\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005744-0211\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005111-0199\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004217-0184\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002904-0161\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001546-0136\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003503-0172\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001209-0131\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004114-0182\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002208-0148\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002833-0160\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003431-0171\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template","dashboards":[{"elements":[{"elementNUID":"be0a2da7-1ee3-475e-96f9-303779edfd85","dashboardResultIndex":0,"guid":"05eef9d3-7c55-4e26-8d1f-fa80338359e6","resultIndex":null,"options":null,"position":{"x":0,"y":0,"height":6,"width":24,"z":null},"elementType":"command"}],"guid":"a9ea7799-040a-484e-a59d-c3cdf5072953","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2690941040041430,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"0896a45f-af1b-4849-b6c2-2b6abcb8b97b","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2690941040041431,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":562,"breakBefore":false},{"name":"output_path","width":511,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"c7ce3870-db19-4813-b1cb-cead3f4c36f1","currentValue":"/dbfs/user1/profiler_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"a7d1d293-d8c3-452b-9ffb-786ea7a28843","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2690941040041407}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","source":["# Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark GPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the profiling tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-profiling-tool.html#profiling-tool-options.\n\n## GPU Job Tuning Recommendations\nThis has general suggestions for tuning your applications to run optimally on GPUs.\n\n## Per-Job Profile\nThe profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"5156a76c-7af7-465d-aff4-41a2e54e3595","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.04.0/rapids-4-spark-tools_2.12-23.04.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n\n# Profiling tool output directory.\nOUTPUT_DIR = '/tmp' \n\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[59]: 2011685
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[59]: 2011685
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\") \n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"f0e4371a-d2d9-4449-81ed-8f6c61ae8f80","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["worker_info_path = \"/tmp/worker_info.yaml\"\n\nworker_info = \"\"\"\n system:\n numCores: 32\n memory: 212992MiB\n numWorkers: 5\n gpu:\n memory: 15109MiB\n count: 4\n name: T4\n softwareProperties:\n spark.driver.maxResultSize: 7680m\n spark.driver.memory: 15360m\n spark.executor.cores: '8'\n spark.executor.instances: '2'\n spark.executor.memory: 47222m\n spark.executorEnv.OPENBLAS_NUM_THREADS: '1'\n spark.scheduler.mode: FAIR\n spark.sql.cbo.enabled: 'true'\n spark.ui.port: '0'\n spark.yarn.am.memory: 640m\n\"\"\"\n\nwith open(worker_info_path, 'w') as f:\n f.write(worker_info)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6c35e478-abe6-49b7-97f9-a8aba71f11d3","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.profiling.ProfileMain --csv --worker-info $worker_info_path --auto-tuner -o $outputpath_string $eventlog_string &> /tmp/prof_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"e9e7cecf-c2dc-4a0f-aea1-61a323e4ccc4","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["import os\n\napp_df = pd.DataFrame(columns = ['appId', 'appName'])\n\nfor x in os.scandir(outputpath_string + \"/rapids_4_spark_profile/\"):\n tmp_df = pd.read_csv(x.path + \"/application_information.csv\")\n app_df = app_df.append(tmp_df[['appId', 'appName']])"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"be0a2da7-1ee3-475e-96f9-303779edfd85","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## GPU Job Tuning Recommendations"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"a1e326ec-5701-4b08-ae0f-7df0c8440038","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["app_list = app_df[\"appId\"].tolist()\napp_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n\nfor app in app_list:\n app_file = open(outputpath_string + \"/rapids_4_spark_profile/\" + app + \"/profile.log\")\n recommendations_start = 0\n recommendations_str = \"\"\n for line in app_file:\n if recommendations_start == 1:\n recommendations_str = recommendations_str + line\n if \"### D. Recommended Configuration ###\" in line:\n recommendations_start = 1\n app_recommendations = app_recommendations.append({'app': app, 'recommendations': recommendations_str}, ignore_index=True)\n \ndisplay(app_recommendations)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4979f78c-44a0-4e54-b803-e5e194b71104","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["app-20220210005817-0212","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004538-0189","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000414-0117","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005713-0210","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000744-0123","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002521-0154","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004801-0193","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002620-0156","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001501-0135","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001417-0134","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001930-0143","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005502-0206","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002316-0150","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004324-0185","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005039-0198","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004834-0194","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004011-0180","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004656-0191","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001324-0133","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000856-0125","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000241-0114","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002105-0146","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000312-0115","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003325-0169","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002654-0157","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005425-0205","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000700-0122","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001109-0129","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002138-0147","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001717-0139","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000018-0110","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002725-0158","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000933-0126","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004617-0190","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005846-0213","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002757-0159","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001038-0128","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000628-0121","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001959-0144","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000556-0120","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004727-0192","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005222-0201","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210000825-0124","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005536-0207","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001139-0130","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000343-0116","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003705-0176","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003359-0170","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005611-0208","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000119-0112","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005322-0203","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003900-0179","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004355-0186","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001648-0138","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002938-0162","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005354-0204","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001821-0141","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005252-0202","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002452-0153","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001617-0137","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003254-0168","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004507-0188","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001751-0140","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005642-0209","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004905-0195","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003751-0177","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002030-0145","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001854-0142","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002549-0155","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210001239-0132","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004428-0187","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002240-0149","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005147-0200","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220523230623-0000","\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n"],["app-20220210000207-0113","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220209235945-0109","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002349-0151","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002421-0152","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000448-0118","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001005-0127","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003149-0166","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003635-0175","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003223-0167","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004041-0181","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003532-0173","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003607-0174","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003048-0164","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210004145-0183","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003825-0178","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003118-0165","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000049-0111","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210000519-0119","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210003015-0163","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210005744-0211","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210005111-0199","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004217-0184","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210002904-0161","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001546-0136","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003503-0172","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210001209-0131","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n"],["app-20220210004114-0182","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002208-0148","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210002833-0160","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"],["app-20220210003431-0171","\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n"]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"app","type":"\"string\"","metadata":"{}"},{"name":"recommendations","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
apprecommendations
app-20220210005817-0212\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004538-0189\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000414-0117\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2353m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005713-0210\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000744-0123\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002521-0154\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004801-0193\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3158m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002620-0156\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001501-0135\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001417-0134\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1365m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001930-0143\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005502-0206\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002316-0150\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004324-0185\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005039-0198\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004834-0194\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2099m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004011-0180\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004656-0191\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001324-0133\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000856-0125\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000241-0114\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002105-0146\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000312-0115\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003325-0169\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002654-0157\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005425-0205\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1509m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000700-0122\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001109-0129\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002138-0147\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001717-0139\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000018-0110\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002725-0158\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000933-0126\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004617-0190\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005846-0213\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=1197m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002757-0159\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001038-0128\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000628-0121\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3404m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001959-0144\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000556-0120\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004727-0192\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3354m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005222-0201\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210000825-0124\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005536-0207\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001139-0130\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000343-0116\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003705-0176\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2337m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003359-0170\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005611-0208\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000119-0112\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005322-0203\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003900-0179\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004355-0186\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001648-0138\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002938-0162\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005354-0204\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001821-0141\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2530m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005252-0202\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002452-0153\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001617-0137\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003254-0168\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004507-0188\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001751-0140\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005642-0209\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004905-0195\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003751-0177\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002030-0145\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001854-0142\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002549-0155\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210001239-0132\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2225m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004428-0187\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002240-0149\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005147-0200\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=2974m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220523230623-0000\nSpark Properties:\n--conf spark.executor.instances=20\n--conf spark.executor.memory=16384m\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.shuffle.partitions=6\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' should be increased since spilling occurred.\n
app-20220210000207-0113\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220209235945-0109\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002349-0151\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002421-0152\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000448-0118\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001005-0127\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003149-0166\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003635-0175\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003223-0167\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004041-0181\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003532-0173\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003607-0174\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003048-0164\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210004145-0183\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003825-0178\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003118-0165\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000049-0111\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210000519-0119\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3061m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210003015-0163\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210005744-0211\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210005111-0199\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004217-0184\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210002904-0161\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=3796m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001546-0136\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003503-0172\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210001209-0131\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n
app-20220210004114-0182\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002208-0148\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210002833-0160\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
app-20220210003431-0171\nSpark Properties:\n--conf spark.executor.cores=8\n--conf spark.executor.instances=20\n--conf spark.executor.memoryOverhead=5734m\n--conf spark.rapids.memory.pinnedPool.size=4096m\n--conf spark.rapids.sql.concurrentGpuTasks=2\n--conf spark.sql.files.maxPartitionBytes=4096m\n--conf spark.sql.shuffle.partitions=200\n--conf spark.task.resource.gpu.amount=0.125\n\nComments:\n- 'spark.executor.memoryOverhead' was not set.\n- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n- 'spark.sql.shuffle.partitions' was not set.\n- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template","dashboards":[{"elements":[{"elementNUID":"be0a2da7-1ee3-475e-96f9-303779edfd85","dashboardResultIndex":0,"guid":"05eef9d3-7c55-4e26-8d1f-fa80338359e6","resultIndex":null,"options":null,"position":{"x":0,"y":0,"height":6,"width":24,"z":null},"elementType":"command"}],"guid":"a9ea7799-040a-484e-a59d-c3cdf5072953","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2690941040041430,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"0896a45f-af1b-4849-b6c2-2b6abcb8b97b","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2690941040041431,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":562,"breakBefore":false},{"name":"output_path","width":511,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"c7ce3870-db19-4813-b1cb-cead3f4c36f1","currentValue":"/dbfs/user1/profiler_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"a7d1d293-d8c3-452b-9ffb-786ea7a28843","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2690941040041407}},"nbformat":4,"nbformat_minor":0} diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb index 670ff332b..2bf64e7b4 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","source":["# Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark CPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the qualification tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-qualification-tool.html#qualification-tool-options.\n\n## Summary Output\nThe report represents the entire app execution, including unsupported operators and non-SQL operations. By default, the applications and queries are sorted in descending order by the following fields:\n- Recommendation;\n- Estimated GPU Speed-up;\n- Estimated GPU Time Saved; and\n- End Time.\n\n## Stages Output\nFor each stage used in SQL operations, the Qualification tool generates the following information:\n1. App ID\n1. Stage ID\n1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n\n## Execs Output\nThe Qualification tool generates a report of the “Exec” in the “SparkPlan” or “Executor Nodes” along with the estimated acceleration on the GPU. Please refer to the Supported Operators guide for more details on limitations on UDFs and unsupported operators.\n1. App ID\n1. SQL ID\n1. Exec Name: example Filter, HashAggregate\n1. Expression Name\n1. Task Speedup Factor: it is simply the average acceleration of the operators based on the original CPU duration of the operator divided by the GPU duration. The tool uses historical queries and benchmarks to estimate a speed-up at an individual operator level to calculate how much a specific operator would accelerate on GPU.\n1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n1. SQL Node Id\n1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n1. Exec Stages: an array of stage IDs\n1. Exec Children\n1. Exec Children Node Ids\n1. Exec Should Remove: whether the Op is removed from the migrated plan."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"df33c614-2ecc-47a0-8600-bc891681997f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\n# Download Spark RAPIDS tool jar\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.02.0/rapids-4-spark-tools_2.12-23.02.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)\n\n# Download S3 jars\nHADOOP_AWS_URL = 'https://repo.maven.apache.org/maven2/org/apache/hadoop/hadoop-aws/2.7.4/hadoop-aws-2.7.4.jar'\nHADOOP_AWS_LOCAL_PATH = '/tmp/hadoop-aws-2.7.4.jar'\nresponse = requests.get(HADOOP_AWS_URL)\nopen(HADOOP_AWS_LOCAL_PATH, \"wb\").write(response.content)\n\nAWS_JAVA_URL = 'https://repo.maven.apache.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar'\nAWS_JAVA_LOCAL_PATH = '/tmp/aws-java-sdk-1.7.4.jar'\nresponse = requests.get(AWS_JAVA_URL)\nopen(AWS_JAVA_LOCAL_PATH, \"wb\").write(response.content)\n\n"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[38]: 11948376
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[38]: 11948376
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\")\n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"acf401a3-12d3-4236-a6c5-8fe8990b153a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/tmp/hadoop-aws-2.7.4.jar:/tmp/aws-java-sdk-1.7.4.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.qualification.QualificationMain -o $outputpath_string $eventlog_string &> /tmp/qual_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"65c4e778-5505-4334-ab89-424334803253","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Summary Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["summary_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output.csv\")\ndisplay(summary_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"fb8edb26-e173-47ff-92a1-463baec7c06b","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["TPC-DS Like Bench q14b","app-20220209225233-0018","Strongly Recommended",2.7,48971.53,83400.46,112708,27066964,132372,109793,65.66,null,null,null,null,null,null,112701,2939275,700037,26366927,4.16,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q14a","app-20220209225013-0017","Strongly Recommended",2.66,51728.96,86381.03,117178,28746000,138110,112636,64.69,null,null,null,null,null,null,117172,2978987,1114076,27631924,4.29,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q4","app-20220209224316-0007","Strongly Recommended",2.66,41856.03,69720.96,90167,85324700,111577,90167,65.09,null,null,null,null,null,null,90163,3086516,0,85324700,4.41,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q24b","app-20220209230348-0030","Recommended",2.34,32581.07,43720.92,56748,27574691,76302,56694,60.89,null,null,null,null,null,null,56741,2950634,25998,27548693,4.37,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q67","app-20220209232913-0074","Recommended",2.27,144720.72,184416.27,308185,15437192,329137,265300,73.64,null,null,null,null,null,null,308174,3028469,2148108,13289084,3.28,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q24a","app-20220209230232-0029","Recommended",2.25,33029.22,41483.77,53469,27911960,74513,53202,60.14,null,null,null,null,null,null,53455,3305140,139193,27772767,4.54,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q93","app-20220209235239-0100","Recommended",2.18,31203.42,36894.57,50166,29213056,68098,50166,64.73,null,null,null,null,null,null,50161,2973035,0,29213056,3.78,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q23a","app-20220209225917-0027","Recommended",2.17,43196.97,50617.02,74068,45913641,93814,66840,64.81,null,null,null,null,null,null,74064,2975228,4480262,41433379,4.12,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q23b","app-20220209230053-0028","Recommended",2.08,46588.14,50761.85,77422,59799857,97350,66526,66.43,null,null,null,null,null,null,77417,3011951,8415627,51384230,4.22,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","DecimalType;decimal"],["TPC-DS Like Bench q72","app-20220209233659-0079","Recommended",1.97,30920.88,30054.11,41703,25434438,60975,41703,74.77,null,null,null,null,null,null,41694,2971887,0,25434438,3.58,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q64","app-20220209232701-0071","Recommended",1.95,30544.61,29103.38,38925,31852357,59648,37301,55.12,null,null,null,null,null,null,38919,2987987,1328490,30523867,4.55,false,"HashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q78","app-20220209234412-0085","Recommended",1.94,24390.79,22946.2,29098,24753911,47337,29098,56.99,null,null,null,null,null,null,29090,2968697,0,24753911,4.73,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q95","app-20220209235427-0102","Recommended",1.9,29920.38,26967.61,37674,23337528,56888,35528,49.19,null,null,null,null,null,null,37667,2958216,1328886,22008642,4.15,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q87","app-20220209234925-0094","Recommended",1.81,25518.2,20871.79,26279,16348325,46390,26279,52.04,null,null,null,null,null,null,26272,2954066,0,16348325,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q50","app-20220209231919-0057","Recommended",1.76,26735.89,20549.1,28736,16444045,47285,28736,52.87,null,null,null,null,null,null,28732,3339217,0,16444045,3.51,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q97","app-20220209235552-0104","Recommended",1.76,24057.8,18398.19,23731,11475611,42456,23731,58.69,null,null,null,null,null,null,23727,3009477,0,11475611,4.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q75","app-20220209233914-0082","Recommended",1.74,25544.26,18972.73,24939,19831478,44517,24939,43.74,null,null,null,null,null,null,24933,2987306,0,19831478,4.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q38","app-20220209231214-0044","Recommended",1.73,23047.06,16910.93,21292,15248682,39958,21292,48.81,null,null,null,null,null,null,21288,3167687,0,15248682,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q31","app-20220209230826-0037","Recommended",1.68,23595.69,16242.3,20407,12617670,39838,20407,34.76,null,null,null,null,null,null,20399,2942830,0,12617670,4.9,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q74","app-20220209233831-0081","Recommended",1.68,24668.06,16781.93,21747,16692240,41450,21747,46.93,null,null,null,null,null,null,21741,3325282,0,16692240,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q11","app-20220209224833-0014","Recommended",1.62,26707.24,16820.75,24208,17615125,43528,22143,45.76,null,null,null,null,null,null,24205,2917642,1502045,16113080,4.16,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q16","app-20220209225524-0020","Recommended",1.62,25717.33,16006.66,22726,18535920,41724,21306,44.67,null,null,null,null,null,null,22720,3028781,1157466,17378454,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q51","app-20220209232008-0058","Recommended",1.59,21942.35,13069.64,16925,12278939,35012,16925,47.26,null,null,null,null,null,null,16920,2979507,0,12278939,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q81","app-20220209234611-0088","Recommended",1.58,23125.59,13612.4,17437,10033526,36738,17393,36.22,null,null,null,null,null,null,17431,3083743,24955,10008571,4.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q65","app-20220209232803-0072","Recommended",1.57,23403.59,13469.4,18332,10164071,36873,18332,46.41,null,null,null,null,null,null,18324,2941892,0,10164071,3.77,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q30","app-20220209230750-0036","Recommended",1.56,21777.06,12322.93,16070,8447753,34100,16023,33.65,null,null,null,null,null,null,16063,2987480,24435,8423318,4.33,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q15","app-20220209225447-0019","Recommended",1.52,23166.12,12074.87,15970,6770100,35241,15970,34.25,null,null,null,null,null,null,15964,2923648,0,6770100,4.09,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q35","app-20220209231035-0041","Recommended",1.51,24552.13,12648.86,18298,10027023,37201,17010,37.15,null,null,null,null,null,null,18293,3059747,705510,9321513,3.9,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q8","app-20220209224648-0011","Recommended",1.51,23372.7,12016.29,15691,6693324,35389,15691,20.01,null,null,null,null,null,null,15686,3133963,0,6693324,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q69","app-20220209233517-0076","Recommended",1.5,24534.64,12431.35,16589,7246714,36966,16589,27.75,null,null,null,null,null,null,16583,2963952,0,7246714,3.99,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q94","app-20220209235349-0101","Recommended",1.5,24361.44,12284.55,17424,13168326,36646,16352,41.87,null,null,null,null,null,null,17416,3048502,809952,12358374,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q54","app-20220209232140-0061","Recommended",1.5,23475.06,11742.93,15568,5555140,35218,15568,28.65,null,null,null,null,null,null,15563,3021018,0,5555140,4.07,false,"Execute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q39a","app-20220209231256-0045","Recommended",1.49,22102.22,10863.77,14136,4794226,32966,14136,24.49,null,null,null,null,null,null,14131,2998677,0,4794226,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q29","app-20220209230713-0035","Recommended",1.49,23597.91,11588.08,15912,10021701,35186,15912,44.09,null,null,null,null,null,null,15905,3057910,0,10021701,3.68,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q47","app-20220209231740-0054","Recommended",1.48,23520.63,11417.36,15246,8996925,34938,15160,35.78,null,null,null,null,null,null,15241,3107687,50299,8946626,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q59","app-20220209232422-0066","Recommended",1.48,24246.78,11658.21,16091,6749831,35905,16091,34.65,null,null,null,null,null,null,16084,3068245,0,6749831,3.63,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q6","app-20220209224544-0009","Recommended",1.46,22488.01,10526.98,13758,6335474,33015,13756,30.04,null,null,null,null,null,null,13753,2943126,863,6334611,4.26,false,"Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q80","app-20220209234532-0087","Recommended",1.46,25298.12,11841.87,16742,12630126,37140,15856,40.02,null,null,null,null,null,null,16735,3360633,668346,11961780,3.95,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q39b","app-20220209231330-0046","Recommended",1.46,22094.04,10341.95,13457,3807675,32436,13457,30.24,null,null,null,null,null,null,13451,2941727,0,3807675,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q57","app-20220209232314-0064","Recommended",1.46,22995.99,10722.0,14351,8374423,33718,14237,31.73,null,null,null,null,null,null,14345,2948771,66283,8308140,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q1","app-20220209224147-0004","Recommended",1.46,21599.35,10007.64,13417,7598550,31607,13321,37.09,null,null,null,null,null,null,13412,3012015,54119,7544431,4.01,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q18","app-20220209225644-0022","Recommended",1.44,22216.88,9865.11,13492,7586670,32082,13492,33.42,null,null,null,null,null,null,13484,2962080,0,7586670,3.72,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q45","app-20220209231631-0052","Recommended",1.44,23723.45,10458.54,14455,5768757,34182,14154,33.74,null,null,null,null,null,null,14447,2957022,120068,5648689,3.83,false,"Execute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRow",null],["TPC-DS Like Bench q17","app-20220209225607-0021","Recommended",1.43,24334.61,10564.38,14420,7818278,34899,14420,37.4,null,null,null,null,null,null,14412,3106844,0,7818278,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q25","app-20220209230506-0031","Recommended",1.43,21671.78,9370.21,12790,7060196,31042,12790,34.97,null,null,null,null,null,null,12784,3060435,0,7060196,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q49","app-20220209231846-0056","Recommended",1.42,22231.44,9476.55,12466,8785195,31708,12466,26.92,null,null,null,null,null,null,12448,3080539,0,8785195,4.17,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q46","app-20220209231707-0053","Recommended",1.42,22047.85,9385.14,12318,6163042,31433,12318,26.39,null,null,null,null,null,null,12312,3017041,0,6163042,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q10","app-20220209224756-0013","Recommended",1.42,24919.87,10489.12,15574,7745798,35409,14432,30.14,null,null,null,null,null,null,15567,3236768,567780,7178018,3.66,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q68","app-20220209233444-0075","Recommended",1.41,21674.52,9006.47,11821,5109423,30681,11821,20.54,null,null,null,null,null,null,11814,3004334,0,5109423,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q5","app-20220209224509-0008","Recommended",1.41,23548.42,9749.57,13729,8967631,33298,13729,41.35,null,null,null,null,null,null,13722,3186659,0,8967631,3.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q34","app-20220209231004-0040","Recommended",1.4,20675.69,8427.3,10842,5053339,29103,10842,27.34,null,null,null,null,null,null,10836,2994320,0,5053339,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q82","app-20220209234649-0089","Recommended",1.4,22206.53,8955.46,12212,7344489,31162,12212,39.29,null,null,null,null,null,null,12199,2973553,0,7344489,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q85","app-20220209234821-0092","Recommended",1.4,24121.11,9726.88,13468,7684101,33848,13468,29.91,null,null,null,null,null,null,13462,2949755,0,7684101,3.6,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q28","app-20220209230637-0034","Recommended",1.39,24599.41,9839.58,15464,14309580,34439,13823,33.04,null,null,null,null,null,null,15458,3008413,1518296,12791284,3.47,false,"AdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRow","merge_avg;merge_count"],["TPC-DS Like Bench q58","app-20220209232349-0065","Recommended",1.39,22489.0,8770.99,12322,5717106,31260,12322,34.17,null,null,null,null,null,null,12313,3102820,0,5717106,3.47,false,"Execute CreateViewCommand;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q19","app-20220209225718-0023","Recommended",1.38,21689.15,8456.84,11373,5749051,30146,11373,23.22,null,null,null,null,null,null,11364,3161292,0,5749051,3.9,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q61","app-20220209232531-0068","Recommended",1.38,23308.72,9017.27,12357,4376440,32326,12357,36.63,null,null,null,null,null,null,12349,3022176,0,4376440,3.7,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q71","app-20220209233627-0078","Recommended",1.38,21967.67,8440.32,11371,4987537,30408,11371,21.81,null,null,null,null,null,null,11363,3052139,0,4987537,3.88,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q22","app-20220209225845-0026","Recommended",1.38,22397.03,8535.96,12381,1736064,30933,12381,50.01,null,null,null,null,null,null,12376,2929875,0,1736064,3.22,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q70","app-20220209233555-0077","Recommended",1.37,21798.79,8233.2,10751,4816235,30032,10751,33.51,null,null,null,null,null,null,10746,3034688,0,4816235,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q83","app-20220209234722-0090","Recommended",1.36,21949.16,8010.83,10956,5253931,29960,10956,26.62,null,null,null,null,null,null,10949,2993826,0,5253931,3.72,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q98","app-20220209235636-0105","Recommended",1.36,20487.86,7376.13,9674,3164505,27864,9674,21.36,null,null,null,null,null,null,9669,2953354,0,3164505,4.21,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q79","app-20220209234502-0086","Recommended",1.35,21073.77,7578.22,10344,5584295,28652,10344,29.69,null,null,null,null,null,null,10340,3007559,0,5584295,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q73","app-20220209233802-0080","Recommended",1.35,20143.11,7154.88,9205,3086301,27298,9205,27.46,null,null,null,null,null,null,9201,2929775,0,3086301,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q91","app-20220209235141-0098","Recommended",1.34,22090.61,7648.38,10351,3106198,29739,10351,23.11,null,null,null,null,null,null,10347,2997584,0,3106198,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q37","app-20220209231143-0043","Recommended",1.34,22130.6,7605.4,10371,5754398,29736,10371,38.21,null,null,null,null,null,null,10366,3003155,0,5754398,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q44","app-20220209231559-0051","Recommended",1.34,22359.33,7652.66,10956,7175937,30012,10347,29.11,null,null,null,null,null,null,10950,3029969,398712,6777225,3.84,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q9","app-20220209224725-0012","Recommended",1.33,21873.81,7315.18,9829,8064543,29189,9829,35.84,null,null,null,null,null,null,9823,3021491,0,8064543,3.91,false,"Execute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q40","app-20220209231405-0047","Recommended",1.33,24561.7,8167.29,12119,8004983,32729,11272,36.85,null,null,null,null,null,null,12110,3142013,558989,7445994,3.63,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q2","app-20220209224220-0005","Recommended",1.32,21301.46,6890.53,8966,4724046,28192,8966,38.76,null,null,null,null,null,null,8960,3025086,0,4724046,4.32,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench ss_max","app-20220209235735-0107","Recommended",1.31,20784.37,6539.62,9176,5331368,27324,8883,40.82,null,null,null,null,null,null,9171,3049122,169902,5161466,3.79,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_count;merge_max"],["TPC-DS Like Bench q60","app-20220209232500-0067","Recommended",1.31,22250.37,6983.62,9811,3834676,29234,9811,19.92,null,null,null,null,null,null,9806,2939560,0,3834676,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q13","app-20220209224945-0016","Recommended",1.31,20407.71,6360.28,8816,4265966,26768,8816,34.5,null,null,null,null,null,null,8808,2951094,0,4265966,3.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q56","app-20220209232242-0063","Recommended",1.3,22798.87,7044.12,9896,3729466,29843,9896,14.44,null,null,null,null,null,null,9890,2971656,0,3729466,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q76","app-20220209234000-0083","Recommended",1.3,22630.64,6827.35,9835,6264831,29458,9835,33.9,null,null,null,null,null,null,9830,3037202,0,6264831,3.27,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q33","app-20220209230935-0039","Recommended",1.3,21561.95,6491.04,9119,3032680,28053,9119,18.14,null,null,null,null,null,null,9111,2983234,0,3032680,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q88","app-20220209235013-0095","Recommended",1.3,23989.56,7197.43,9998,6687038,31187,9998,43.92,null,null,null,null,null,null,9987,3212440,0,6687038,3.57,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q7","app-20220209224619-0010","Not Recommended",1.29,20663.5,6143.5,8936,4022166,26807,8936,35.88,null,null,null,null,null,null,8929,2959904,0,4022166,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q48","app-20220209231816-0055","Not Recommended",1.29,21310.47,6237.52,8514,3969649,27548,8514,33.42,null,null,null,null,null,null,8507,2990347,0,3969649,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q26","app-20220209230539-0032","Not Recommended",1.28,21556.18,6109.81,8887,4002441,27666,8887,36.79,null,null,null,null,null,null,8876,3012952,0,4002441,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q12","app-20220209224918-0015","Not Recommended",1.27,19624.36,5459.63,7584,1865587,25084,7584,23.82,null,null,null,null,null,null,7577,3102250,0,1865587,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q62","app-20220209232605-0069","Not Recommended",1.27,21448.22,5877.77,8574,4218821,27326,8574,36.47,null,null,null,null,null,null,8565,3017055,0,4218821,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q20","app-20220209225749-0024","Not Recommended",1.26,21250.95,5641.04,7836,2040974,26892,7836,22.51,null,null,null,null,null,null,7829,3039094,0,2040974,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q99","app-20220209235705-0106","Not Recommended",1.25,22355.32,5801.67,8463,4558275,28157,8463,33.1,null,null,null,null,null,null,8455,2973149,0,4558275,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q36","app-20220209231114-0042","Not Recommended",1.25,21356.73,5527.26,7756,3642750,26884,7756,30.08,null,null,null,null,null,null,7752,2905924,0,3642750,3.48,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q89","app-20220209235046-0096","Not Recommended",1.25,20969.23,5401.76,7869,4029740,26371,7615,24.99,null,null,null,null,null,null,7858,3012145,129765,3899975,3.44,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q86","app-20220209234857-0093","Not Recommended",1.25,21140.77,5388.22,7493,3505441,26529,7493,29.09,null,null,null,null,null,null,7489,3240380,0,3505441,3.56,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q27","app-20220209230608-0033","Not Recommended",1.25,22114.89,5587.1,8150,3737103,27702,8150,29.62,null,null,null,null,null,null,8143,3067371,0,3737103,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q66","app-20220209232841-0073","Not Recommended",1.24,24291.91,5938.08,9771,5287383,30230,8612,35.68,null,null,null,null,null,null,9765,2922061,626680,4660703,3.22,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q53","app-20220209232111-0060","Not Recommended",1.23,22160.97,5233.02,7622,3879496,27394,7368,25.54,null,null,null,null,null,null,7617,2905347,128795,3750701,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q84","app-20220209234754-0091","Not Recommended",1.23,21195.3,4968.69,7129,3814060,26164,7129,40.65,null,null,null,null,null,null,7123,3029105,0,3814060,3.3,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q63","app-20220209232634-0070","Not Recommended",1.23,21192.66,4957.33,7215,3490147,26150,6980,26.58,null,null,null,null,null,null,7207,2976838,113318,3376829,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q43","app-20220209231533-0050","Not Recommended",1.23,19958.18,4641.81,6660,3257940,24600,6660,29.65,null,null,null,null,null,null,6651,2961446,0,3257940,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench ss_maxb","app-20220209235804-0108","Not Recommended",1.23,19063.41,4414.58,5825,3798491,23478,5825,48.17,null,null,null,null,null,null,5819,3155711,0,3798491,4.13,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q3","app-20220209224250-0006","Not Recommended",1.22,20089.36,4522.63,6489,2898373,24612,6489,26.88,null,null,null,null,null,null,6483,3094853,0,2898373,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q21","app-20220209225818-0025","Not Recommended",1.22,20413.61,4531.38,6610,1072926,24945,6610,40.94,null,null,null,null,null,null,6605,3079474,0,1072926,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q55","app-20220209232217-0062","Not Recommended",1.22,19494.18,4296.81,6165,2612787,23791,6165,24.78,null,null,null,null,null,null,6158,2995446,0,2612787,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q92","app-20220209235212-0099","Not Recommended",1.21,20741.45,4549.54,6384,2095601,25291,6123,25.07,null,null,null,null,null,null,6380,2967129,85419,2010182,3.89,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q90","app-20220209235114-0097","Not Recommended",1.21,20450.98,4350.01,6209,2604676,24801,6209,44.95,null,null,null,null,null,null,6204,2976499,0,2604676,3.34,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q32","app-20220209230908-0038","Not Recommended",1.2,20973.26,4366.73,6107,2712962,25340,5909,25.21,null,null,null,null,null,null,6098,3048254,87623,2625339,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q42","app-20220209231505-0049","Not Recommended",1.2,21414.78,4436.21,6365,2726759,25851,6365,23.15,null,null,null,null,null,null,6358,3047836,0,2726759,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q52","app-20220209232045-0059","Not Recommended",1.19,20523.3,4071.69,5842,2683090,24595,5842,25.46,null,null,null,null,null,null,5827,3074975,0,2683090,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q41","app-20220209231439-0048","Not Recommended",1.19,20533.93,4071.06,5649,161564,24605,5649,55.4,null,null,null,null,null,null,5642,2970757,0,161564,3.58,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q96","app-20220209235526-0103","Not Recommended",1.18,20189.67,3776.32,5324,2304428,23966,5324,44.32,null,null,null,null,null,null,5317,2947875,0,2304428,3.44,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["DART-ALGO","application_1665146417445_0002","Not Recommended",1.04,375798.12,16253.87,44531,75900172,392052,23675,14.55,null,null,null,null,null,null,16579,58017590,35546441,40353731,3.19,false,"Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimit",null],["DART-ALGO","application_1665146417445_0003","Not Recommended",1.0,690682.0,0.0,0,0,690682,0,0.0,null,null,null,null,null,null,0,0,0,0,1.0,false,null,null]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"App Name","type":"\"string\"","metadata":"{}"},{"name":"App ID","type":"\"string\"","metadata":"{}"},{"name":"Recommendation","type":"\"string\"","metadata":"{}"},{"name":"Estimated GPU Speedup","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Duration","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Time Saved","type":"\"double\"","metadata":"{}"},{"name":"SQL DF Duration","type":"\"long\"","metadata":"{}"},{"name":"SQL Dataframe Task Duration","type":"\"long\"","metadata":"{}"},{"name":"App Duration","type":"\"long\"","metadata":"{}"},{"name":"GPU Opportunity","type":"\"long\"","metadata":"{}"},{"name":"Executor CPU Time Percent","type":"\"double\"","metadata":"{}"},{"name":"SQL Ids with Failures","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Read File Formats and Types","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Write Data Format","type":"\"double\"","metadata":"{}"},{"name":"Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Nested Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Potential Problems","type":"\"double\"","metadata":"{}"},{"name":"Longest SQL Duration","type":"\"long\"","metadata":"{}"},{"name":"NONSQL Task Duration Plus Overhead","type":"\"long\"","metadata":"{}"},{"name":"Unsupported Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Supported SQL DF Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Task Speedup Factor","type":"\"double\"","metadata":"{}"},{"name":"App Duration Estimated","type":"\"boolean\"","metadata":"{}"},{"name":"Unsupported Execs","type":"\"string\"","metadata":"{}"},{"name":"Unsupported Expressions","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
App NameApp IDRecommendationEstimated GPU SpeedupEstimated GPU DurationEstimated GPU Time SavedSQL DF DurationSQL Dataframe Task DurationApp DurationGPU OpportunityExecutor CPU Time PercentSQL Ids with FailuresUnsupported Read File Formats and TypesUnsupported Write Data FormatComplex TypesNested Complex TypesPotential ProblemsLongest SQL DurationNONSQL Task Duration Plus OverheadUnsupported Task DurationSupported SQL DF Task DurationTask Speedup FactorApp Duration EstimatedUnsupported ExecsUnsupported Expressions
TPC-DS Like Bench q14bapp-20220209225233-0018Strongly Recommended2.748971.5383400.461127082706696413237210979365.66nullnullnullnullnullnull1127012939275700037263669274.16falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q14aapp-20220209225013-0017Strongly Recommended2.6651728.9686381.031171782874600013811011263664.69nullnullnullnullnullnull11717229789871114076276319244.29falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q4app-20220209224316-0007Strongly Recommended2.6641856.0369720.9690167853247001115779016765.09nullnullnullnullnullnull9016330865160853247004.41falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q24bapp-20220209230348-0030Recommended2.3432581.0743720.925674827574691763025669460.89nullnullnullnullnullnull56741295063425998275486934.37falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q67app-20220209232913-0074Recommended2.27144720.72184416.273081851543719232913726530073.64nullnullnullnullnullnull30817430284692148108132890843.28falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q24aapp-20220209230232-0029Recommended2.2533029.2241483.775346927911960745135320260.14nullnullnullnullnullnull534553305140139193277727674.54falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q93app-20220209235239-0100Recommended2.1831203.4236894.575016629213056680985016664.73nullnullnullnullnullnull5016129730350292130563.78falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q23aapp-20220209225917-0027Recommended2.1743196.9750617.027406845913641938146684064.81nullnullnullnullnullnull7406429752284480262414333794.12falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q23bapp-20220209230053-0028Recommended2.0846588.1450761.857742259799857973506652666.43nullnullnullnullnullnull7741730119518415627513842304.22falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowDecimalType;decimal
TPC-DS Like Bench q72app-20220209233659-0079Recommended1.9730920.8830054.114170325434438609754170374.77nullnullnullnullnullnull4169429718870254344383.58falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q64app-20220209232701-0071Recommended1.9530544.6129103.383892531852357596483730155.12nullnullnullnullnullnull3891929879871328490305238674.55falseHashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q78app-20220209234412-0085Recommended1.9424390.7922946.22909824753911473372909856.99nullnullnullnullnullnull2909029686970247539114.73falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q95app-20220209235427-0102Recommended1.929920.3826967.613767423337528568883552849.19nullnullnullnullnullnull3766729582161328886220086424.15falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q87app-20220209234925-0094Recommended1.8125518.220871.792627916348325463902627952.04nullnullnullnullnullnull2627229540660163483254.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q50app-20220209231919-0057Recommended1.7626735.8920549.12873616444045472852873652.87nullnullnullnullnullnull2873233392170164440453.51falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q97app-20220209235552-0104Recommended1.7624057.818398.192373111475611424562373158.69nullnullnullnullnullnull2372730094770114756114.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q75app-20220209233914-0082Recommended1.7425544.2618972.732493919831478445172493943.74nullnullnullnullnullnull2493329873060198314784.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q38app-20220209231214-0044Recommended1.7323047.0616910.932129215248682399582129248.81nullnullnullnullnullnull2128831676870152486824.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q31app-20220209230826-0037Recommended1.6823595.6916242.32040712617670398382040734.76nullnullnullnullnullnull2039929428300126176704.9falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q74app-20220209233831-0081Recommended1.6824668.0616781.932174716692240414502174746.93nullnullnullnullnullnull2174133252820166922404.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q11app-20220209224833-0014Recommended1.6226707.2416820.752420817615125435282214345.76nullnullnullnullnullnull2420529176421502045161130804.16falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q16app-20220209225524-0020Recommended1.6225717.3316006.662272618535920417242130644.67nullnullnullnullnullnull2272030287811157466173784544.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q51app-20220209232008-0058Recommended1.5921942.3513069.641692512278939350121692547.26nullnullnullnullnullnull1692029795070122789394.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q81app-20220209234611-0088Recommended1.5823125.5913612.41743710033526367381739336.22nullnullnullnullnullnull17431308374324955100085714.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q65app-20220209232803-0072Recommended1.5723403.5913469.41833210164071368731833246.41nullnullnullnullnullnull1832429418920101640713.77falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q30app-20220209230750-0036Recommended1.5621777.0612322.93160708447753341001602333.65nullnullnullnullnullnull1606329874802443584233184.33falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q15app-20220209225447-0019Recommended1.5223166.1212074.87159706770100352411597034.25nullnullnullnullnullnull159642923648067701004.09falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q35app-20220209231035-0041Recommended1.5124552.1312648.861829810027023372011701037.15nullnullnullnullnullnull18293305974770551093215133.9falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q8app-20220209224648-0011Recommended1.5123372.712016.29156916693324353891569120.01nullnullnullnullnullnull156863133963066933244.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q69app-20220209233517-0076Recommended1.524534.6412431.35165897246714369661658927.75nullnullnullnullnullnull165832963952072467143.99falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q94app-20220209235349-0101Recommended1.524361.4412284.551742413168326366461635241.87nullnullnullnullnullnull174163048502809952123583744.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q54app-20220209232140-0061Recommended1.523475.0611742.93155685555140352181556828.65nullnullnullnullnullnull155633021018055551404.07falseExecute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRownull
TPC-DS Like Bench q39aapp-20220209231256-0045Recommended1.4922102.2210863.77141364794226329661413624.49nullnullnullnullnullnull141312998677047942264.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q29app-20220209230713-0035Recommended1.4923597.9111588.081591210021701351861591244.09nullnullnullnullnullnull1590530579100100217013.68falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q47app-20220209231740-0054Recommended1.4823520.6311417.36152468996925349381516035.78nullnullnullnullnullnull1524131076875029989466264.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q59app-20220209232422-0066Recommended1.4824246.7811658.21160916749831359051609134.65nullnullnullnullnullnull160843068245067498313.63falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q6app-20220209224544-0009Recommended1.4622488.0110526.98137586335474330151375630.04nullnullnullnullnullnull13753294312686363346114.26falseSubquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q80app-20220209234532-0087Recommended1.4625298.1211841.871674212630126371401585640.02nullnullnullnullnullnull167353360633668346119617803.95falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q39bapp-20220209231330-0046Recommended1.4622094.0410341.95134573807675324361345730.24nullnullnullnullnullnull134512941727038076754.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q57app-20220209232314-0064Recommended1.4622995.9910722.0143518374423337181423731.73nullnullnullnullnullnull1434529487716628383081404.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q1app-20220209224147-0004Recommended1.4621599.3510007.64134177598550316071332137.09nullnullnullnullnullnull1341230120155411975444314.01falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q18app-20220209225644-0022Recommended1.4422216.889865.11134927586670320821349233.42nullnullnullnullnullnull134842962080075866703.72falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q45app-20220209231631-0052Recommended1.4423723.4510458.54144555768757341821415433.74nullnullnullnullnullnull14447295702212006856486893.83falseExecute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRownull
TPC-DS Like Bench q17app-20220209225607-0021Recommended1.4324334.6110564.38144207818278348991442037.4nullnullnullnullnullnull144123106844078182783.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q25app-20220209230506-0031Recommended1.4321671.789370.21127907060196310421279034.97nullnullnullnullnullnull127843060435070601963.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q49app-20220209231846-0056Recommended1.4222231.449476.55124668785195317081246626.92nullnullnullnullnullnull124483080539087851954.17falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q46app-20220209231707-0053Recommended1.4222047.859385.14123186163042314331231826.39nullnullnullnullnullnull123123017041061630424.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q10app-20220209224756-0013Recommended1.4224919.8710489.12155747745798354091443230.14nullnullnullnullnullnull15567323676856778071780183.66falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q68app-20220209233444-0075Recommended1.4121674.529006.47118215109423306811182120.54nullnullnullnullnullnull118143004334051094234.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q5app-20220209224509-0008Recommended1.4123548.429749.57137298967631332981372941.35nullnullnullnullnullnull137223186659089676313.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q34app-20220209231004-0040Recommended1.420675.698427.3108425053339291031084227.34nullnullnullnullnullnull108362994320050533394.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q82app-20220209234649-0089Recommended1.422206.538955.46122127344489311621221239.29nullnullnullnullnullnull121992973553073444893.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q85app-20220209234821-0092Recommended1.424121.119726.88134687684101338481346829.91nullnullnullnullnullnull134622949755076841013.6falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q28app-20220209230637-0034Recommended1.3924599.419839.581546414309580344391382333.04nullnullnullnullnullnull1545830084131518296127912843.47falseAdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRowmerge_avg;merge_count
TPC-DS Like Bench q58app-20220209232349-0065Recommended1.3922489.08770.99123225717106312601232234.17nullnullnullnullnullnull123133102820057171063.47falseExecute CreateViewCommand;Subquery;ColumnarToRownull
TPC-DS Like Bench q19app-20220209225718-0023Recommended1.3821689.158456.84113735749051301461137323.22nullnullnullnullnullnull113643161292057490513.9falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q61app-20220209232531-0068Recommended1.3823308.729017.27123574376440323261235736.63nullnullnullnullnullnull123493022176043764403.7falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q71app-20220209233627-0078Recommended1.3821967.678440.32113714987537304081137121.81nullnullnullnullnullnull113633052139049875373.88falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q22app-20220209225845-0026Recommended1.3822397.038535.96123811736064309331238150.01nullnullnullnullnullnull123762929875017360643.22falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q70app-20220209233555-0077Recommended1.3721798.798233.2107514816235300321075133.51nullnullnullnullnullnull107463034688048162354.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q83app-20220209234722-0090Recommended1.3621949.168010.83109565253931299601095626.62nullnullnullnullnullnull109492993826052539313.72falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q98app-20220209235636-0105Recommended1.3620487.867376.139674316450527864967421.36nullnullnullnullnullnull96692953354031645054.21falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q79app-20220209234502-0086Recommended1.3521073.777578.22103445584295286521034429.69nullnullnullnullnullnull103403007559055842953.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q73app-20220209233802-0080Recommended1.3520143.117154.889205308630127298920527.46nullnullnullnullnullnull92012929775030863014.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q91app-20220209235141-0098Recommended1.3422090.617648.38103513106198297391035123.11nullnullnullnullnullnull103472997584031061983.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q37app-20220209231143-0043Recommended1.3422130.67605.4103715754398297361037138.21nullnullnullnullnullnull103663003155057543983.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q44app-20220209231559-0051Recommended1.3422359.337652.66109567175937300121034729.11nullnullnullnullnullnull10950302996939871267772253.84falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q9app-20220209224725-0012Recommended1.3321873.817315.189829806454329189982935.84nullnullnullnullnullnull98233021491080645433.91falseExecute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRownull
TPC-DS Like Bench q40app-20220209231405-0047Recommended1.3324561.78167.29121198004983327291127236.85nullnullnullnullnullnull12110314201355898974459943.63falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q2app-20220209224220-0005Recommended1.3221301.466890.538966472404628192896638.76nullnullnullnullnullnull89603025086047240464.32falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench ss_maxapp-20220209235735-0107Recommended1.3120784.376539.629176533136827324888340.82nullnullnullnullnullnull9171304912216990251614663.79falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_count;merge_max
TPC-DS Like Bench q60app-20220209232500-0067Recommended1.3122250.376983.629811383467629234981119.92nullnullnullnullnullnull98062939560038346763.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q13app-20220209224945-0016Recommended1.3120407.716360.288816426596626768881634.5nullnullnullnullnullnull88082951094042659663.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q56app-20220209232242-0063Recommended1.322798.877044.129896372946629843989614.44nullnullnullnullnullnull98902971656037294663.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q76app-20220209234000-0083Recommended1.322630.646827.359835626483129458983533.9nullnullnullnullnullnull98303037202062648313.27falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q33app-20220209230935-0039Recommended1.321561.956491.049119303268028053911918.14nullnullnullnullnullnull91112983234030326803.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q88app-20220209235013-0095Recommended1.323989.567197.439998668703831187999843.92nullnullnullnullnullnull99873212440066870383.57falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q7app-20220209224619-0010Not Recommended1.2920663.56143.58936402216626807893635.88nullnullnullnullnullnull89292959904040221663.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q48app-20220209231816-0055Not Recommended1.2921310.476237.528514396964927548851433.42nullnullnullnullnullnull85072990347039696493.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q26app-20220209230539-0032Not Recommended1.2821556.186109.818887400244127666888736.79nullnullnullnullnullnull88763012952040024413.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q12app-20220209224918-0015Not Recommended1.2719624.365459.637584186558725084758423.82nullnullnullnullnullnull75773102250018655873.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q62app-20220209232605-0069Not Recommended1.2721448.225877.778574421882127326857436.47nullnullnullnullnullnull85653017055042188213.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q20app-20220209225749-0024Not Recommended1.2621250.955641.047836204097426892783622.51nullnullnullnullnullnull78293039094020409743.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q99app-20220209235705-0106Not Recommended1.2522355.325801.678463455827528157846333.1nullnullnullnullnullnull84552973149045582753.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q36app-20220209231114-0042Not Recommended1.2521356.735527.267756364275026884775630.08nullnullnullnullnullnull77522905924036427503.48falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q89app-20220209235046-0096Not Recommended1.2520969.235401.767869402974026371761524.99nullnullnullnullnullnull7858301214512976538999753.44falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q86app-20220209234857-0093Not Recommended1.2521140.775388.227493350544126529749329.09nullnullnullnullnullnull74893240380035054413.56falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q27app-20220209230608-0033Not Recommended1.2522114.895587.18150373710327702815029.62nullnullnullnullnullnull81433067371037371033.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q66app-20220209232841-0073Not Recommended1.2424291.915938.089771528738330230861235.68nullnullnullnullnullnull9765292206162668046607033.22falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q53app-20220209232111-0060Not Recommended1.2322160.975233.027622387949627394736825.54nullnullnullnullnullnull7617290534712879537507013.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q84app-20220209234754-0091Not Recommended1.2321195.34968.697129381406026164712940.65nullnullnullnullnullnull71233029105038140603.3falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q63app-20220209232634-0070Not Recommended1.2321192.664957.337215349014726150698026.58nullnullnullnullnullnull7207297683811331833768293.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q43app-20220209231533-0050Not Recommended1.2319958.184641.816660325794024600666029.65nullnullnullnullnullnull66512961446032579403.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench ss_maxbapp-20220209235804-0108Not Recommended1.2319063.414414.585825379849123478582548.17nullnullnullnullnullnull58193155711037984914.13falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q3app-20220209224250-0006Not Recommended1.2220089.364522.636489289837324612648926.88nullnullnullnullnullnull64833094853028983733.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q21app-20220209225818-0025Not Recommended1.2220413.614531.386610107292624945661040.94nullnullnullnullnullnull66053079474010729263.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q55app-20220209232217-0062Not Recommended1.2219494.184296.816165261278723791616524.78nullnullnullnullnullnull61582995446026127873.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q92app-20220209235212-0099Not Recommended1.2120741.454549.546384209560125291612325.07nullnullnullnullnullnull638029671298541920101823.89falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q90app-20220209235114-0097Not Recommended1.2120450.984350.016209260467624801620944.95nullnullnullnullnullnull62042976499026046763.34falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q32app-20220209230908-0038Not Recommended1.220973.264366.736107271296225340590925.21nullnullnullnullnullnull609830482548762326253393.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q42app-20220209231505-0049Not Recommended1.221414.784436.216365272675925851636523.15nullnullnullnullnullnull63583047836027267593.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q52app-20220209232045-0059Not Recommended1.1920523.34071.695842268309024595584225.46nullnullnullnullnullnull58273074975026830903.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q41app-20220209231439-0048Not Recommended1.1920533.934071.06564916156424605564955.4nullnullnullnullnullnull5642297075701615643.58falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q96app-20220209235526-0103Not Recommended1.1820189.673776.325324230442823966532444.32nullnullnullnullnullnull53172947875023044283.44falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
DART-ALGOapplication_1665146417445_0002Not Recommended1.04375798.1216253.8744531759001723920522367514.55nullnullnullnullnullnull165795801759035546441403537313.19falseScan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimitnull
DART-ALGOapplication_1665146417445_0003Not Recommended1.0690682.00.00069068200.0nullnullnullnullnullnull00001.0falsenullnull
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Stages Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6756159b-30ca-407a-ab6b-9c29ced01ea6","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["stages_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_stages.csv\")\ndisplay(stages_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"cdde6177-db5f-434a-995b-776678a64a3a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",31,2.95,1184,0,false],["app-20220209224509-0008",33,2.9,1086,0,false],["app-20220209224509-0008",35,3.37,2321523,0,false],["app-20220209224509-0008",41,3.9,172648,0,false],["app-20220209224509-0008",39,5.72,4586824,0,false],["app-20220209224509-0008",38,3.36,694337,0,false],["app-20220209224509-0008",40,4.26,656835,0,false],["app-20220209224509-0008",37,3.36,524190,0,false],["app-20220209224509-0008",32,2.9,641,0,false],["app-20220209224509-0008",36,2.73,7065,0,false],["app-20220209224509-0008",42,3.0,218,0,false],["app-20220209224509-0008",34,2.9,1080,0,false],["app-20220209235114-0097",39,2.71,0,0,true],["app-20220209235114-0097",40,3.54,413,0,false],["app-20220209235114-0097",34,2.95,964,0,false],["app-20220209235114-0097",37,2.71,0,0,true],["app-20220209235114-0097",41,3.0,365,0,false],["app-20220209235114-0097",31,2.95,1058,0,false],["app-20220209235114-0097",32,2.95,694,0,false],["app-20220209235114-0097",35,3.68,2142147,0,false],["app-20220209235114-0097",38,4.34,271,0,false],["app-20220209235114-0097",36,3.68,457864,0,false],["app-20220209235114-0097",33,2.95,900,0,false],["app-20220209230506-0031",35,3.33,93394,0,false],["app-20220209230506-0031",36,3.33,239863,0,false],["app-20220209230506-0031",38,6.91,2696172,0,false],["app-20220209230506-0031",37,3.33,1684494,0,false],["app-20220209230506-0031",40,3.9,205018,0,false],["app-20220209230506-0031",32,2.9,7530,0,false],["app-20220209230506-0031",41,3.0,210,0,false],["app-20220209230506-0031",39,5.67,2129775,0,false],["app-20220209230506-0031",34,2.95,1198,0,false],["app-20220209230506-0031",31,2.95,1284,0,false],["app-20220209230506-0031",33,2.9,1258,0,false],["app-20220209232634-0070",32,2.9,1046,0,false],["app-20220209232634-0070",34,3.72,2226056,0,false],["app-20220209232634-0070",31,2.95,6677,0,false],["app-20220209232634-0070",33,2.95,672,0,false],["app-20220209232634-0070",37,3.0,210,0,false],["app-20220209232634-0070",35,4.3,688894,0,false],["app-20220209232634-0070",36,4.3,566592,113318,false],["app-20220209225845-0026",36,3.0,303,0,false],["app-20220209225845-0026",32,2.9,5690,0,false],["app-20220209225845-0026",31,2.95,1181,0,false],["app-20220209225845-0026",34,3.68,621736,0,false],["app-20220209225845-0026",33,2.9,894,0,false],["app-20220209225845-0026",35,3.9,1106260,0,false],["app-20220209235526-0103",34,3.68,2301205,0,false],["app-20220209235526-0103",31,2.95,1051,0,false],["app-20220209235526-0103",33,2.95,875,0,false],["app-20220209235526-0103",32,2.95,676,0,false],["app-20220209235526-0103",36,4.69,621,0,false],["app-20220209235526-0103",35,2.6,0,0,true],["app-20220209231919-0057",35,3.33,6655624,0,false],["app-20220209231919-0057",36,5.78,9297072,0,false],["app-20220209231919-0057",38,3.0,228,0,false],["app-20220209231919-0057",31,2.9,711,0,false],["app-20220209231919-0057",37,3.9,354848,0,false],["app-20220209231919-0057",34,3.33,134143,0,false],["app-20220209231919-0057",32,2.95,724,0,false],["app-20220209231919-0057",33,2.9,695,0,false],["app-20220209231533-0050",33,3.71,2489960,0,false],["app-20220209231533-0050",34,3.9,765614,0,false],["app-20220209231533-0050",35,3.0,246,0,false],["app-20220209231533-0050",32,2.95,1024,0,false],["app-20220209231533-0050",31,2.95,1096,0,false],["application_1665146417445_0002",4,4.5,233,0,false],["application_1665146417445_0002",3,4.34,2893207,0,false],["application_1665146417445_0002",2,2.6,14571021,7285510,false],["application_1665146417445_0002",1,2.0,51972027,25986013,false],["application_1665146417445_0002",7,4.5,244,0,false],["application_1665146417445_0002",6,3.98,1918109,0,false],["application_1665146417445_0002",5,2.6,4540826,2270413,false],["application_1665146417445_0002",0,1.0,4505,4505,false],["app-20220209230053-0028",40,3.71,4979300,0,false],["app-20220209230053-0028",42,3.94,517898,0,false],["app-20220209230053-0028",38,4.34,53,0,false],["app-20220209230053-0028",44,7.76,730644,0,false],["app-20220209230053-0028",54,3.0,221,0,false],["app-20220209230053-0028",35,3.33,4618718,0,false],["app-20220209230053-0028",36,3.33,59206,0,false],["app-20220209230053-0028",50,7.76,661105,0,false],["app-20220209230053-0028",43,3.33,25052,0,false],["app-20220209230053-0028",37,5.73,8697022,1449502,false],["app-20220209230053-0028",39,2.95,77,0,false],["app-20220209230053-0028",53,2.68,456328,182530,false],["app-20220209230053-0028",45,3.33,34900,0,false],["app-20220209230053-0028",51,8.28,13701110,2997113,false],["app-20220209230053-0028",31,2.95,701,0,false],["app-20220209230053-0028",46,3.37,2366404,0,false],["app-20220209230053-0028",52,8.28,17309649,3786482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App IDStage IDAverage Speedup FactorStage Task DurationUnsupported Task DurationStage Estimated
app-20220209224509-0008312.9511840false
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app-20220209224509-0008353.3723215230false
app-20220209224509-0008413.91726480false
app-20220209224509-0008395.7245868240false
app-20220209224509-0008383.366943370false
app-20220209224509-0008404.266568350false
app-20220209224509-0008373.365241900false
app-20220209224509-0008322.96410false
app-20220209224509-0008362.7370650false
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Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Execs Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["execs_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_execs.csv\")\ndisplay(execs_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"998b0c51-0cb6-408e-a01a-d1f5b1a61e1f","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,30,false,"31",null,null,true],["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,89,false,"39",null,null,true],["app-20220209224509-0008",24,"WholeStageCodegen (15)","WholeStageCodegen 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App IDSQL IDExec NameExpression NameTask Speedup FactorExec DurationSQL Node IdExec Is SupportedExec StagesExec ChildrenExec Children Node IdsExec Should Remove
app-20220209224509-000824ColumnarToRownull1.0030false31nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0089false39nullnulltrue
app-20220209224509-000824WholeStageCodegen (15)WholeStageCodegen (15)8.0423405095true39Sort96false
app-20220209224509-000824Exchangenull4.258497true36:39nullnullfalse
app-20220209224509-00080Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (8)WholeStageCodegen (8)2.92305965true37Project:Filter:ColumnarToRow66:67:68false
app-20220209224509-000824Unionnull3.0085truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (22)WholeStageCodegen (22)4.51883976true40HashAggregate77false
app-20220209224509-000824Projectnull3.0060truenullnullnullfalse
app-20220209224509-000824Exchangenull4.280029104true35:39nullnullfalse
app-20220209224509-000824Projectnull3.0040truenullnullnullfalse
app-20220209224509-000824Projectnull3.0054truenullnullnullfalse
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app-20220209224509-000824Scan parquet null3.0536114true34nullnullfalse
app-20220209224509-000824WholeStageCodegen (6)WholeStageCodegen (6)4.51879889true40HashAggregate10false
app-20220209224509-000824Projectnull3.0056truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173670truenullnullnullfalse
app-20220209224509-000814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.0033truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5077true40nullnullfalse
app-20220209224509-000824Scan parquet null3.0750661109true35nullnullfalse
app-20220209224509-000824HashAggregatenull4.506true40nullnullfalse
app-20220209224509-000824Projectnull3.0087truenullnullnullfalse
app-20220209224509-000810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0035false38nullnulltrue
app-20220209224509-000824BroadcastExchangenull3.0171238truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (5)WholeStageCodegen (5)4.1331502612true38HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin13:14:15:16:17false
app-20220209224509-000824ColumnarToRownull1.00113false34nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0042false31nullnulltrue
app-20220209224509-000822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976027true31Project:Filter:ColumnarToRow28:29:30false
app-20220209224509-00081Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0156771truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0062false37nullnulltrue
app-20220209224509-000824WholeStageCodegen (13)WholeStageCodegen (13)2.91705586true39Project:Filter:ColumnarToRow87:88:89false
app-20220209224509-000824Scan parquet null3.028348true32nullnullfalse
app-20220209224509-000824Sortnull8.00103true39nullnullfalse
app-20220209224509-000823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.00106truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0022false38nullnulltrue
app-20220209224509-000824Unionnull3.008truenullnullnullfalse
app-20220209224509-000812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5010true40nullnullfalse
app-20220209224509-000824Filternull2.8073true33nullnullfalse
app-20220209224509-000824BroadcastExchangenull3.01537110truenullnullnullfalse
app-20220209224509-000824SortMergeJoinnull22.7094true39nullnullfalse
app-20220209224509-000824Projectnull3.0014truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.01736101truenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0112844truenullnullnullfalse
app-20220209224509-000816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8061true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (16)WholeStageCodegen (16)2.91506623105true35Project:Filter:ColumnarToRow106:107:108false
app-20220209224509-000824Filternull2.8034true38nullnullfalse
app-20220209224509-000824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209224509-00085Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (20)WholeStageCodegen (20)2.8540111true34Filter:ColumnarToRow112:113false
app-20220209224509-000824SubqueryBroadcastnull3.0173637truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (14)WholeStageCodegen (14)1.0409098false36ColumnarToRow99false
app-20220209224509-00089Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Scan parquet null3.01245469true37nullnullfalse
app-20220209224509-00086Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0068false37nullnulltrue
app-20220209224509-000824Filternull2.8021true38nullnullfalse
app-20220209224509-000824TakeOrderedAndProjectnull3.001true41:42nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09015true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09057true37nullnullfalse
app-20220209224509-000824Unionnull3.0018truenullnullnullfalse
app-20220209224509-00082Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (7)WholeStageCodegen (7)2.924709959true37Project:Filter:ColumnarToRow60:61:62false
app-20220209224509-00087Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00084Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (21)WholeStageCodegen (21)4.13323042579true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin80:81:82:83:84false
app-20220209224509-000824Exchangenull4.276878true39:40nullnullfalse
app-20220209224509-000824Scan parquet null3.017303523true38nullnullfalse
app-20220209224509-000815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0047false32nullnulltrue
app-20220209224509-000824BroadcastHashJoinnull5.09082true39nullnullfalse
app-20220209224509-000824Projectnull3.0066truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173691truenullnullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09084true39nullnullfalse
app-20220209224509-000824Scan parquet null3.01956236true38nullnullfalse
app-20220209224509-000824Scan parquet null3.051575true33nullnullfalse
app-20220209224509-000824Exchangenull4.22064true40:41nullnullfalse
app-20220209224509-000824Projectnull3.0020truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5013true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09055true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (24)WholeStageCodegen (24)4.5308342true41HashAggregate3false
app-20220209224509-000824Unionnull3.0058truenullnullnullfalse
app-20220209224509-000824Filternull2.8029true31nullnullfalse
app-20220209224509-000824WholeStageCodegen (12)WholeStageCodegen (12)4.53468649true40HashAggregate50false
app-20220209224509-000824HashAggregatenull4.5050true40nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173664truenullnullnullfalse
app-20220209224509-000824Exchangenull4.2442551true37:40nullnullfalse
app-20220209224509-000813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8088true39nullnullfalse
app-20220209224509-000824Filternull2.8046true32nullnullfalse
app-20220209224509-000824Scan parquet null3.074331true31nullnullfalse
app-20220209224509-000824Scan parquet null3.02399100true36nullnullfalse
app-20220209224509-000824WholeStageCodegen (4)WholeStageCodegen (4)2.829145true32Filter:ColumnarToRow46:47false
app-20220209224509-000824Filternull2.8041true31nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09017true38nullnullfalse
app-20220209224509-000824Projectnull3.0093truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (1)WholeStageCodegen (1)2.932567319true38Project:Filter:ColumnarToRow20:21:22false
app-20220209224509-000824Expandnull3.007true40nullnullfalse
app-20220209224509-000824Exchangenull4.2617911true38:40nullnullfalse
app-20220209224509-000824Projectnull3.0028truenullnullnullfalse
app-20220209224509-000824Projectnull3.0016truenullnullnullfalse
app-20220209224509-000824Filternull2.8067true37nullnullfalse
app-20220209224509-000824ColumnarToRownull1.00108false35nullnulltrue
app-20220209224509-000824Filternull2.80107true35nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173624truenullnullnullfalse
app-20220209224509-000824Filternull2.80112true34nullnullfalse
app-20220209224509-000824Projectnull3.0083truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (11)WholeStageCodegen (11)4.1323510952true37HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin53:54:55:56:57false
app-20220209224509-000824Scan parquet null3.013214963true37nullnullfalse
app-20220209224509-000820Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00083Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000818Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976039true31Project:Filter:ColumnarToRow40:41:42false
app-20220209224509-000824ColumnarToRownull1.0099false36nullnulltrue
app-20220209224509-00088Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (10)WholeStageCodegen (10)2.853872true33Filter:ColumnarToRow73:74false
app-20220209224509-000824WholeStageCodegen (2)WholeStageCodegen (2)2.93627532true38Project:Filter:ColumnarToRow33:34:35false
app-20220209224509-000824HashAggregatenull4.5053true37nullnullfalse
app-20220209224509-000824HashAggregatenull4.503true41nullnullfalse
app-20220209224509-000821Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (23)WholeStageCodegen (23)3.752011495true40HashAggregate:Expand6:7false
app-20220209224509-000824BroadcastExchangenull3.0171226truenullnullnullfalse
app-20220209224509-000811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (18)WholeStageCodegen (18)12.85337652992true39Project:SortMergeJoin93:94false
app-20220209224509-000824WholeStageCodegen (17)WholeStageCodegen (17)8.00102true39Sort103false
app-20220209224509-000824HashAggregatenull4.5080true39nullnullfalse
app-20220209224509-000824ReusedExchangenull1.0025falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0074false33nullnulltrue
app-20220209224509-000824Scan parquet null3.0864890true39nullnullfalse
app-20220209224509-000824Sortnull8.0096true39nullnullfalse
app-20220209224509-000824Scan parquet null3.074343true31nullnullfalse
app-20220209235114-009724Projectnull3.0035truenullnullnullfalse
app-20220209235114-009724Filternull2.8052true36nullnullfalse
app-20220209235114-009724Projectnull3.0049truenullnullnullfalse
app-20220209235114-009724Projectnull3.0023truenullnullnullfalse
app-20220209235114-009717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09016true35nullnullfalse
app-20220209235114-009724Projectnull3.0013truenullnullnullfalse
app-20220209235114-00979Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.091360520true35nullnullfalse
app-20220209235114-009724Exchangenull4.296942true36:38nullnullfalse
app-20220209235114-009724Scan parquet null3.051138true33nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09046true36nullnullfalse
app-20220209235114-009724Projectnull3.0015truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (6)WholeStageCodegen (6)3.8441805343true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow44:45:46:47:48:49:50:51:52:53false
app-20220209235114-009724HashAggregatenull4.507true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0140155truenullnullnullfalse
app-20220209235114-009724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235114-009721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0017truenullnullnullfalse
app-20220209235114-009724Projectnull3.0057truenullnullnullfalse
app-20220209235114-009714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0047truenullnullnullfalse
app-20220209235114-00973Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (8)WholeStageCodegen (8)4.51726true40HashAggregate7false
app-20220209235114-00978Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724TakeOrderedAndProjectnull3.002true40:41nullnullfalse
app-20220209235114-009724Filternull2.8036true33nullnullfalse
app-20220209235114-009724HashAggregatenull4.5044true36nullnullfalse
app-20220209235114-009724Scan parquet null3.050860true34nullnullfalse
app-20220209235114-009724WholeStageCodegen (7)WholeStageCodegen (7)4.54240true38HashAggregate41false
app-20220209235114-009724Projectnull3.004truenullnullnullfalse
app-20220209235114-009713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (5)WholeStageCodegen (5)3.8414436929true35HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow10:11:12:13:14:15:16:17:18:19false
app-20220209235114-009723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0045truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (1)WholeStageCodegen (1)2.951922true31Project:Filter:ColumnarToRow23:24:25false
app-20220209235114-009724Projectnull3.0011truenullnullnullfalse
app-20220209235114-009724Filternull2.8024true31nullnullfalse
app-20220209235114-009724AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0031false32nullnulltrue
app-20220209235114-009724BroadcastHashJoinnull5.09014true35nullnullfalse
app-20220209235114-009724WholeStageCodegen (3)WholeStageCodegen (3)2.951534true33Project:Filter:ColumnarToRow35:36:37false
app-20220209235114-009724HashAggregatenull4.5041true38nullnullfalse
app-20220209235114-00974Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0029truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (9)WholeStageCodegen (9)3.0963true40Project4false
app-20220209235114-00977Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8058true34nullnullfalse
app-20220209235114-009715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00971Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09050true36nullnullfalse
app-20220209235114-009719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00975Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09048true36nullnullfalse
app-20220209235114-009724BroadcastNestedLoopJoinnull3.005true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0133133truenullnullnullfalse
app-20220209235114-009724Exchangenull4.225398true35:40nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09012true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0019false35nullnulltrue
app-20220209235114-009724Scan parquet null3.029832true32nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0149021truenullnullnullfalse
app-20220209235114-009711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00970Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0117527truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0037false33nullnulltrue
app-20220209235114-009724Projectnull3.0051truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0053false36nullnulltrue
app-20220209235114-009724Scan parquet null3.051226true31nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0059false34nullnulltrue
app-20220209235114-009724WholeStageCodegen (4)WholeStageCodegen (4)2.953256true34Project:Filter:ColumnarToRow57:58:59false
app-20220209235114-009718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8030true32nullnullfalse
app-20220209235114-00972Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.018709354true36nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.031539truenullnullnullfalse
app-20220209235114-00976Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (2)WholeStageCodegen (2)2.931728true32Project:Filter:ColumnarToRow29:30:31false
app-20220209235114-009724Filternull2.8018true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0025false31nullnulltrue
app-20220209235114-009724HashAggregatenull4.5010true35nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170449truenullnullnullfalse
app-20220209230506-003124Exchangenull4.294true39:40nullnullfalse
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963570true31Project:Filter:ColumnarToRow71:72:73false
app-20220209230506-003124WholeStageCodegen (13)WholeStageCodegen (13)2.8451381true32Filter:ColumnarToRow82:83false
app-20220209230506-003111Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.009truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170469truenullnullnullfalse
app-20220209230506-003124Projectnull3.0023truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (8)WholeStageCodegen (8)8.03521355true39Sort56false
app-20220209230506-003124WholeStageCodegen (7)WholeStageCodegen (7)2.888475758true37Filter:ColumnarToRow59:60false
app-20220209230506-003118Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2611942true36:38nullnullfalse
app-20220209230506-003113Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (12)WholeStageCodegen (12)2.881776true33Filter:ColumnarToRow77:78false
app-20220209230506-003124Filternull2.8052true31nullnullfalse
app-20220209230506-003124WholeStageCodegen (15)WholeStageCodegen (15)4.5334762true40HashAggregate3false
app-20220209230506-003124WholeStageCodegen (3)WholeStageCodegen (3)2.814564643true36Filter:ColumnarToRow44:45false
app-20220209230506-003124HashAggregatenull4.503true40nullnullfalse
app-20220209230506-003124Filternull2.8077true33nullnullfalse
app-20220209230506-003124Sortnull8.0020true39nullnullfalse
app-20220209230506-003124Projectnull3.0036truenullnullnullfalse
app-20220209230506-003124Sortnull8.0026true38nullnullfalse
app-20220209230506-003122Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0053false31nullnulltrue
app-20220209230506-003124Projectnull3.0015truenullnullnullfalse
app-20220209230506-003120Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.05912746true36nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7018true39nullnullfalse
app-20220209230506-003124Filternull2.8029true35nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0073false31nullnulltrue
app-20220209230506-003112Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0083false32nullnulltrue
app-20220209230506-00319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (6)WholeStageCodegen (6)8.0167505819true39Sort20false
app-20220209230506-003124BroadcastHashJoinnull5.09016true39nullnullfalse
app-20220209230506-00316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003117Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-00318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003121Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230506-003124Projectnull3.0051truenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.0908true39nullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09010true39nullnullfalse
app-20220209230506-003115Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8037true34nullnullfalse
app-20220209230506-003124Scan parquet null3.061074true31nullnullfalse
app-20220209230506-003116Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.0426884true32nullnullfalse
app-20220209230506-003110Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003119Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.061054true31nullnullfalse
app-20220209230506-003124Scan parquet null3.055986561true37nullnullfalse
app-20220209230506-003124Exchangenull4.2769727true35:38nullnullfalse
app-20220209230506-003124Projectnull3.0011truenullnullnullfalse
app-20220209230506-003124Sortnull8.0056true39nullnullfalse
app-20220209230506-00312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09014true39nullnullfalse
app-20220209230506-00311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963764true34Project:Filter:ColumnarToRow65:66:67false
app-20220209230506-003124ColumnarToRownull1.0038false34nullnulltrue
app-20220209230506-003124ColumnarToRownull1.0030false35nullnulltrue
app-20220209230506-003124Exchangenull4.2496057true37:39nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7024true38nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0246280truenullnullnullfalse
app-20220209230506-003124Filternull2.8059true37nullnullfalse
app-20220209230506-003124WholeStageCodegen (4)WholeStageCodegen (4)8.096863440true38Sort41false
app-20220209230506-003124BroadcastHashJoinnull5.09012true39nullnullfalse
app-20220209230506-00310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8044true36nullnullfalse
app-20220209230506-00317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124HashAggregatenull4.506true39nullnullfalse
app-20220209230506-00314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0017truenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0067false34nullnulltrue
app-20220209230506-003124Scan parquet null3.061868true34nullnullfalse
app-20220209230506-003124WholeStageCodegen (5)WholeStageCodegen (5)12.85158104722true38Project:SortMergeJoin23:24false
app-20220209230506-003124Scan parquet null3.02823131true35nullnullfalse
app-20220209230506-003124Filternull2.8072true31nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0045false36nullnulltrue
app-20220209230506-00313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0071truenullnullnullfalse
app-20220209230506-003124Projectnull3.007truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (14)WholeStageCodegen (14)5.4412225455true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14:15:16:17:18false
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963550true31Project:Filter:ColumnarToRow51:52:53false
app-20220209230506-003124Scan parquet null3.061839true34nullnullfalse
app-20220209230506-003124Filternull2.8082true32nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0169675truenullnullnullfalse
app-20220209230506-003124Scan parquet null3.080779true33nullnullfalse
app-20220209230506-003124SubqueryBroadcastnull3.0171047truenullnullnullfalse
app-20220209230506-003124Projectnull3.0013truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0166134truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (2)WholeStageCodegen (2)8.0104414825true38Sort26false
app-20220209230506-003124BroadcastExchangenull3.0166163truenullnullnullfalse
app-20220209230506-003123Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963735true34Project:Filter:ColumnarToRow36:37:38false
app-20220209230506-003124SubqueryBroadcastnull3.0171062truenullnullnullfalse
app-20220209230506-003124Projectnull3.0065truenullnullnullfalse
app-20220209230506-003124TakeOrderedAndProjectnull3.001true40:41nullnullfalse
app-20220209230506-003124Filternull2.8066true34nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0060false37nullnulltrue
app-20220209230506-003124ReusedExchangenull1.0033falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2997321true38:39nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0078false33nullnulltrue
app-20220209230506-003124SubqueryBroadcastnull3.0168032truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (1)WholeStageCodegen (1)2.86176328true35Filter:ColumnarToRow29:30false
app-20220209230506-003114Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Sortnull8.0041true38nullnullfalse
app-20220209230506-00315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ReusedExchangenull1.0048falsenullnullnullfalse
app-20220209232634-007024Windownull3.005truenullnullnullfalse
app-20220209232634-007024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5010true35nullnullfalse
app-20220209232634-00705Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0022truenullnullnullfalse
app-20220209232634-00707Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00702Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Scan parquet null3.029742true33nullnullfalse
app-20220209232634-007024Scan parquet null3.049647true32nullnullfalse
app-20220209232634-007014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00701Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00703Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (5)WholeStageCodegen (5)4.51701719true35HashAggregate10false
app-20220209232634-007024Filternull2.8026true34nullnullfalse
app-20220209232634-007024Sortnull8.007true36nullnullfalse
app-20220209232634-007024ColumnarToRownull1.0035false33nullnulltrue
app-20220209232634-007020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0039truenullnullnullfalse
app-20220209232634-007024Projectnull3.0033truenullnullnullfalse
app-20220209232634-007016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0046false32nullnulltrue
app-20220209232634-007024WholeStageCodegen (4)WholeStageCodegen (4)3.95123396612true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow13:14:15:16:17:18:19:26:27false
app-20220209232634-007024Exchangenull4.28426111true34:35nullnullfalse
app-20220209232634-00708Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (1)WholeStageCodegen (1)2.9304421true31Project:Filter:ColumnarToRow22:23:24false
app-20220209232634-007024BroadcastExchangenull3.0146043truenullnullnullfalse
app-20220209232634-007024SubqueryBroadcastnull3.0112129truenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (3)WholeStageCodegen (3)2.850244true32Filter:ColumnarToRow45:46false
app-20220209232634-007024WholeStageCodegen (6)WholeStageCodegen (6)8.01345746true36Sort7false
app-20220209232634-007010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0111031truenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09017true34nullnullfalse
app-20220209232634-007012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0041false33nullnulltrue
app-20220209232634-007024TakeOrderedAndProjectnull3.001true36:37nullnullfalse
app-20220209232634-007024Filternull2.8040true33nullnullfalse
app-20220209232634-00704Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Exchangenull4.2328true35:36nullnullfalse
app-20220209232634-007024Projectnull3.003truenullnullnullfalse
app-20220209232634-007021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00709Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931638true33Project:Filter:ColumnarToRow39:40:41false
app-20220209232634-007024ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09015true34nullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09019true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931632true33Project:Filter:ColumnarToRow33:34:35false
app-20220209232634-007024Filternull2.8023true31nullnullfalse
app-20220209232634-007022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0027false34nullnulltrue
app-20220209232634-007024Scan parquet null3.029736true33nullnullfalse
app-20220209232634-007024Filternull2.8045true32nullnullfalse
app-20220209232634-007024Projectnull3.0016truenullnullnullfalse
app-20220209232634-007017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0172620truenullnullnullfalse
app-20220209232634-007018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0024false31nullnulltrue
app-20220209232634-007024Projectnull3.0014truenullnullnullfalse
app-20220209232634-00706Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0018truenullnullnullfalse
app-20220209232634-007024Filternull1.004false36nullnullfalse
app-20220209232634-007024Scan parquet null3.065125328true34nullnullfalse
app-20220209232634-007011Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00700Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5013true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (7)WholeStageCodegen (7)2.056212true36Project:Filter3:4false
app-20220209232634-007024BroadcastExchangenull3.0111037truenullnullnullfalse
app-20220209232634-007024Scan parquet null3.0291325true31nullnullfalse
app-20220209232634-007024Filternull2.8034true33nullnullfalse
app-20220209232634-007023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00262Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (3)WholeStageCodegen (3)2.846537true33Filter:ColumnarToRow38:39false
app-20220209225845-002624SubqueryBroadcastnull3.0160817truenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09013true34nullnullfalse
app-20220209225845-002617Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Exchangenull4.242414true34:35nullnullfalse
app-20220209225845-002624ColumnarToRownull1.0039false33nullnulltrue
app-20220209225845-002614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068724true31nullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09011true34nullnullfalse
app-20220209225845-002613Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002622Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.07024716true34nullnullfalse
app-20220209225845-002624Projectnull3.008truenullnullnullfalse
app-20220209225845-00268Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002610Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (4)WholeStageCodegen (4)3.844430465true34HashAggregate:Expand:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:11:12:13:14:15false
app-20220209225845-002624Projectnull3.0010truenullnullnullfalse
app-20220209225845-002624HashAggregatenull4.506true34nullnullfalse
app-20220209225845-002624Filternull2.8028true31nullnullfalse
app-20220209225845-00266Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Projectnull3.0012truenullnullnullfalse
app-20220209225845-00263Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Filternull2.8038true33nullnullfalse
app-20220209225845-002624Projectnull3.0021truenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (2)WholeStageCodegen (2)2.8254432true32Filter:ColumnarToRow33:34false
app-20220209225845-002624Filternull2.8014true34nullnullfalse
app-20220209225845-00267Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00265Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00269Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.0909true34nullnullfalse
app-20220209225845-002623Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0029false31nullnulltrue
app-20220209225845-002619Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068730true31nullnullfalse
app-20220209225845-002624Scan parquet null3.0232935true32nullnullfalse
app-20220209225845-002624ReusedExchangenull1.0018falsenullnullnullfalse
app-20220209225845-002618Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Expandnull3.007true34nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158719truenullnullnullfalse
app-20220209225845-002620Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0132636truenullnullnullfalse
app-20220209225845-002624Filternull2.8022true31nullnullfalse
app-20220209225845-002624Projectnull3.0027truenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0023false31nullnulltrue
app-20220209225845-002624Filternull2.8033true32nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158725truenullnullnullfalse
app-20220209225845-002624TakeOrderedAndProjectnull3.001true35:36nullnullfalse
app-20220209225845-002624HashAggregatenull4.503true35nullnullfalse
app-20220209225845-002621Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0034false32nullnulltrue
app-20220209225845-00261Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (5)WholeStageCodegen (5)4.54723102true35HashAggregate3false
app-20220209225845-002624BroadcastExchangenull3.0190531truenullnullnullfalse
app-20220209225845-002615Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002612Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00260Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970726true31Project:Filter:ColumnarToRow27:28:29false
app-20220209225845-002624ColumnarToRownull1.0015false34nullnulltrue
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970720true31Project:Filter:ColumnarToRow21:22:23false
app-20220209225845-002624Scan parquet null3.046240true33nullnullfalse
app-20220209225845-002624Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209225845-00264Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01031Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (5)WholeStageCodegen (5)5.172152true36Project:Sort:HashAggregate3:4:5false
app-20220209235526-010319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09010true34nullnullfalse
app-20220209235526-010310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01039Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01030Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01033Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0011truenullnullnullfalse
app-20220209235526-01036Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.009truenullnullnullfalse
app-20220209235526-01037Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09012true34nullnullfalse
app-20220209235526-010324ColumnarToRownull1.0035false31nullnulltrue
app-20220209235526-010324BroadcastExchangenull3.0130719truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0023false33nullnulltrue
app-20220209235526-01034Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0017false34nullnulltrue
app-20220209235526-010322Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.0105143618true34nullnullfalse
app-20220209235526-010315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0027truenullnullnullfalse
app-20220209235526-010324HashAggregatenull4.508true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0147031truenullnullnullfalse
app-20220209235526-010316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.060536true31nullnullfalse
app-20220209235526-010324Filternull2.8016true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0114625truenullnullnullfalse
app-20220209235526-01032Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.028330true32nullnullfalse
app-20220209235526-010321Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0021truenullnullnullfalse
app-20220209235526-010324Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0029false32nullnulltrue
app-20220209235526-010318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0015truenullnullnullfalse
app-20220209235526-010324Filternull2.8034true31nullnullfalse
app-20220209235526-010324Filternull2.8028true32nullnullfalse
app-20220209235526-010311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010323Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235526-010324Sortnull8.004true36nullnullfalse
app-20220209235526-010317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010320Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09014true34nullnullfalse
app-20220209235526-010324Scan parquet null3.049224true33nullnullfalse
app-20220209235526-010324WholeStageCodegen (1)WholeStageCodegen (1)2.949820true33Project:Filter:ColumnarToRow21:22:23false
app-20220209235526-010324WholeStageCodegen (4)WholeStageCodegen (4)3.8415773287true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow8:9:10:11:12:13:14:15:16:17false
app-20220209235526-010324Projectnull3.0013truenullnullnullfalse
app-20220209235526-010324Projectnull3.0033truenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (2)WholeStageCodegen (2)2.930326true32Project:Filter:ColumnarToRow27:28:29false
app-20220209235526-01035Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Filternull2.8022true33nullnullfalse
app-20220209235526-010324HashAggregatenull4.505true36nullnullfalse
app-20220209235526-010324WholeStageCodegen (3)WholeStageCodegen (3)2.961032true31Project:Filter:ColumnarToRow33:34:35false
app-20220209235526-01038Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Exchangenull4.222986true34:36nullnullfalse
app-20220209235526-010324Projectnull3.003truenullnullnullfalse
app-20220209231919-005716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00579Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231919-005724Exchangenull4.251124true34:36nullnullfalse
app-20220209231919-005714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.029836true32nullnullfalse
app-20220209231919-005724Projectnull3.0033truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (4)WholeStageCodegen (4)8.01353893522true36Sort23false
app-20220209231919-00570Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8019true35nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931648true32Project:Filter:ColumnarToRow49:50:51false
app-20220209231919-00574Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8044true31nullnullfalse
app-20220209231919-005724Scan parquet null3.028546true31nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0045false31nullnulltrue
app-20220209231919-005724BroadcastExchangenull3.0120831truenullnullnullfalse
app-20220209231919-00573Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724SortMergeJoinnull22.7014true36nullnullfalse
app-20220209231919-005724Projectnull3.0013truenullnullnullfalse
app-20220209231919-005717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8034true32nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0040false33nullnulltrue
app-20220209231919-005724Exchangenull4.214647617true35:36nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0027false34nullnulltrue
app-20220209231919-005724Scan parquet null3.029852true32nullnullfalse
app-20220209231919-005724SubqueryBroadcastnull3.0123429truenullnullnullfalse
app-20220209231919-00571Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (8)WholeStageCodegen (8)6.0675557345true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14false
app-20220209231919-005721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Projectnull3.009truenullnullnullfalse
app-20220209231919-005724Filternull2.8026true34nullnullfalse
app-20220209231919-005713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (3)WholeStageCodegen (3)2.87635225true34Filter:ColumnarToRow26:27false
app-20220209231919-00577Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724TakeOrderedAndProjectnull3.001true37:38nullnullfalse
app-20220209231919-005724Filternull2.8039true33nullnullfalse
app-20220209231919-005724Projectnull3.0011truenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0035false32nullnulltrue
app-20220209231919-005724Scan parquet null3.028941true33nullnullfalse
app-20220209231919-005724Exchangenull4.214924true36:37nullnullfalse
app-20220209231919-005718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.503true37nullnullfalse
app-20220209231919-00575Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (6)WholeStageCodegen (6)2.831343true31Filter:ColumnarToRow44:45false
app-20220209231919-005724WholeStageCodegen (2)WholeStageCodegen (2)8.02180315true36Sort16false
app-20220209231919-005711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (5)WholeStageCodegen (5)2.830238true33Filter:ColumnarToRow39:40false
app-20220209231919-005724ColumnarToRownull1.0020false35nullnulltrue
app-20220209231919-005724Sortnull8.0016true36nullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09010true36nullnullfalse
app-20220209231919-005723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.04765328true34nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0120847truenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.506true36nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0121437truenullnullnullfalse
app-20220209231919-005724Scan parquet null3.0147268121true35nullnullfalse
app-20220209231919-005724Sortnull8.0023true36nullnullfalse
app-20220209231919-005724ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09012true36nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931632true32Project:Filter:ColumnarToRow33:34:35false
app-20220209231919-00576Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0051false32nullnulltrue
app-20220209231919-005724BroadcastHashJoinnull5.0908true36nullnullfalse
app-20220209231919-005724Projectnull3.0049truenullnullnullfalse
app-20220209231919-005722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00572Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0125842truenullnullnullfalse
app-20220209231919-005724Projectnull3.007truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (9)WholeStageCodegen (9)4.5841222true37HashAggregate3false
app-20220209231919-00578Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8050true32nullnullfalse
app-20220209231919-005720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (1)WholeStageCodegen (1)2.8441400118true35Filter:ColumnarToRow19:20false
app-20220209231533-00509Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8014true32nullnullfalse
app-20220209231533-005024WholeStageCodegen (4)WholeStageCodegen (4)4.5804502true34HashAggregate3false
app-20220209231533-005024BroadcastHashJoinnull5.09010true33nullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0143211truenullnullnullfalse
app-20220209231533-005024SubqueryBroadcastnull3.0144220truenullnullnullfalse
app-20220209231533-005018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0146121truenullnullnullfalse
app-20220209231533-005024Projectnull3.0023truenullnullnullfalse
app-20220209231533-00507Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8017true33nullnullfalse
app-20220209231533-005014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8024true31nullnullfalse
app-20220209231533-005024HashAggregatenull4.506true33nullnullfalse
app-20220209231533-00502Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0025false31nullnulltrue
app-20220209231533-00506Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.054616true32nullnullfalse
app-20220209231533-005010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.072029019true33nullnullfalse
app-20220209231533-005024WholeStageCodegen (2)WholeStageCodegen (2)2.966122true31Project:Filter:ColumnarToRow23:24:25false
app-20220209231533-005017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024HashAggregatenull4.503true34nullnullfalse
app-20220209231533-005024TakeOrderedAndProjectnull3.001true34:35nullnullfalse
app-20220209231533-005019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0018false33nullnulltrue
app-20220209231533-005024BroadcastHashJoinnull5.0908true33nullnullfalse
app-20220209231533-005013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Projectnull3.0013truenullnullnullfalse
app-20220209231533-005021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0015false32nullnulltrue
app-20220209231533-00508Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.065226true31nullnullfalse
app-20220209231533-005024WholeStageCodegen (3)WholeStageCodegen (3)3.9214097295true33HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:17:18false
app-20220209231533-005024Projectnull3.009truenullnullnullfalse
app-20220209231533-00504Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00501Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00500Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00505Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024WholeStageCodegen (1)WholeStageCodegen (1)2.956612true32Project:Filter:ColumnarToRow13:14:15false
app-20220209231533-00503Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231533-005024Projectnull3.007truenullnullnullfalse
app-20220209231533-005024Exchangenull4.2115424true33:34nullnullfalse
app-20220209231533-005011Execute CreateViewCommandnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen3.7503true6HashAggregate:Project4:5false
application_1665146417445_00020CollectLimitnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen4.500true7HashAggregate1false
application_1665146417445_00021Projectnull3.001truenullnullnullfalse
application_1665146417445_00020WholeStageCodegenWholeStageCodegen3.001truenullProject2false
application_1665146417445_00021WholeStageCodegenWholeStageCodegen3.000true1Project1false
application_1665146417445_00023Exchangenull4.206true5nullnullfalse
application_1665146417445_00022HashAggregatenull4.501true4nullnullfalse
application_1665146417445_00022HashAggregatenull4.506true3nullnullfalse
application_1665146417445_00022HashAggregatenull4.504true3nullnullfalse
application_1665146417445_00021Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_mapnull1.002false1nullnullfalse
application_1665146417445_00022Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.008false2nullnullfalse
application_1665146417445_00020Projectnull3.002truenullnullnullfalse
application_1665146417445_00023HashAggregatenull4.504true6nullnullfalse
application_1665146417445_00023HashAggregatenull4.501true7nullnullfalse
application_1665146417445_00023Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.007false5nullnullfalse
application_1665146417445_00022HashAggregatenull4.505true3nullnullfalse
application_1665146417445_00020Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.003false0nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.500true4HashAggregate1false
application_1665146417445_00023Projectnull3.005truenullnullnullfalse
application_1665146417445_00022Exchangenull4.202true3nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.503true3HashAggregate:HashAggregate:HashAggregate4:5:6false
application_1665146417445_00022Exchangenull4.207true2nullnullfalse
application_1665146417445_00023Exchangenull4.202true6nullnullfalse
app-20220209230053-002824Exchangenull4.23630436true49:50nullnullfalse
app-20220209230053-002824Exchangenull4.2164896true37:38nullnullfalse
app-20220209230053-002824WholeStageCodegen (35)WholeStageCodegen (35)8.09740356227true52Sort228false
app-20220209230053-002824Projectnull3.00155truenullnullnullfalse
app-20220209230053-00284Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00204truenullnullnullfalse
app-20220209230053-002824Projectnull3.00143truenullnullnullfalse
app-20220209230053-002824Projectnull3.0072truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.4333255637true49Project:Filter:HashAggregate38:39:40false
app-20220209230053-002824WholeStageCodegen (32)WholeStageCodegen (32)3.0334418172true44Project173false
app-20220209230053-002824SubqueryBroadcastnull3.0160551truenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5043true47nullnullfalse
app-20220209230053-002824Projectnull3.0030truenullnullnullfalse
app-20220209230053-00287Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0017truenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0108202truenullnullnullfalse
app-20220209230053-002815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00283Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.08779181true41nullnullfalse
app-20220209230053-002824Filternull2.8062true33nullnullfalse
app-20220209230053-002824HashAggregatenull1.00224false52nullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.057073819true50Sort20false
app-20220209230053-002824Projectnull3.00225truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00223false52nullnullfalse
app-20220209230053-002824Exchangenull4.2309177true41:44nullnullfalse
app-20220209230053-002824TakeOrderedAndProjectnull3.001true53:54nullnullfalse
app-20220209230053-002824WholeStageCodegen (15)WholeStageCodegen (15)2.821724137true45Filter:ColumnarToRow138:139false
app-20220209230053-002824SortMergeJoinnull22.7012true51nullnullfalse
app-20220209230053-002824WholeStageCodegen (23)WholeStageCodegen (23)6.96293476true51HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin7:8:9:10:11false
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.82258215true32Filter:ColumnarToRow216:217false
app-20220209230053-002824SortMergeJoinnull22.70241true52nullnullfalse
app-20220209230053-002824Sortnull8.00228true52nullnullfalse
app-20220209230053-002824Projectnull3.00236truenullnullnullfalse
app-20220209230053-002824Filternull2.80189true42nullnullfalse
app-20220209230053-002824Scan parquet null3.028733true31nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00157false31nullnulltrue
app-20220209230053-002824HashAggregatenull4.50193true40nullnullfalse
app-20220209230053-002824Projectnull3.0046truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.81533322true48Filter:ColumnarToRow23:24false
app-20220209230053-00286Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (42)WholeStageCodegen (42)8.07107509242true52Sort243false
app-20220209230053-002824Sortnull8.00233true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0049false47nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)8.07271900120true37Sort121false
app-20220209230053-002824Filternull2.8048true47nullnullfalse
app-20220209230053-002824Exchangenull4.2836815true50:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01206127truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (26)WholeStageCodegen (26)8.0616179175true44Sort176false
app-20220209230053-002824HashAggregatenull1.00163false52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00239false52nullnullfalse
app-20220209230053-002824Sortnull8.00235true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (21)WholeStageCodegen (21)5.671192790141true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin142:143:144:145:146:147:148false
app-20220209230053-002824SortMergeJoinnull22.70226true52nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70104true37nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00118false34nullnulltrue
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954860true33Project:Filter:ColumnarToRow61:62:63false
app-20220209230053-002824BroadcastHashJoinnull5.090165true52nullnullfalse
app-20220209230053-002824Filternull2.8067true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0115228truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00146false51nullnullfalse
app-20220209230053-002824Sortnull8.0020true50nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.948203true39Project:Filter:ColumnarToRow204:205:206false
app-20220209230053-002824Exchangenull4.21065true51:53nullnullfalse
app-20220209230053-002824Exchangenull4.26954171true44:52nullnullfalse
app-20220209230053-002824Scan parquet null3.0203869true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01925214truenullnullnullfalse
app-20220209230053-002824Projectnull3.00173truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (47)WholeStageCodegen (47)6.9658082162true52HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin163:164:165:166:167false
app-20220209230053-002824WholeStageCodegen (13)WholeStageCodegen (13)8.0768468986true51Sort87false
app-20220209230053-002824Sortnull8.00176true44nullnullfalse
app-20220209230053-002811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.50190true42nullnullfalse
app-20220209230053-002824Sortnull8.00152true51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159653truenullnullnullfalse
app-20220209230053-002824Projectnull3.0055truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.924787686192true40HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow193:194:195:196:197:198:199false
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341115true34Project:Filter:ColumnarToRow116:117:118false
app-20220209230053-002824Projectnull3.00221truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (38)WholeStageCodegen (38)5.6715748975219true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin220:221:222:223:224:225:226false
app-20220209230053-00282Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00289Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70167true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (10)WholeStageCodegen (10)2.9162909081true46Project:Filter:ColumnarToRow82:83:84false
app-20220209230053-002824Filternull2.8031true31nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70133true51nullnullfalse
app-20220209230053-00288Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.02038218true32nullnullfalse
app-20220209230053-002824WholeStageCodegen (8)WholeStageCodegen (8)3.031701316true50Project17false
app-20220209230053-002810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090102true37nullnullfalse
app-20220209230053-002824Unionnull3.002truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (45)WholeStageCodegen (45)5.67579620234true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin235:236:237:238:239:240:241false
app-20220209230053-002824HashAggregatenull4.5095true38nullnullfalse
app-20220209230053-002824Sortnull8.00230true52nullnullfalse
app-20220209230053-002824Exchangenull4.257306107true35:37nullnullfalse
app-20220209230053-00281Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01152153truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.0075false51nullnullfalse
app-20220209230053-002824Scan parquet null3.052564true33nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70231true52nullnullfalse
app-20220209230053-002824Sortnull8.00142true51nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00212false33nullnulltrue
app-20220209230053-002824BroadcastExchangenull3.01596208truenullnullnullfalse
app-20220209230053-002824Projectnull3.00210truenullnullnullfalse
app-20220209230053-002824ColumnarToRownull1.0091false43nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.8225866true32Filter:ColumnarToRow67:68false
app-20220209230053-002824Filternull2.80179true41nullnullfalse
app-20220209230053-002824Sortnull8.0079true51nullnullfalse
app-20220209230053-002824Scan parquet null3.01128383111true35nullnullfalse
app-20220209230053-002824Filternull1.0073false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341128true34Project:Filter:ColumnarToRow129:130:131false
app-20220209230053-002824Sortnull8.00245true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0024false48nullnulltrue
app-20220209230053-002824BroadcastHashJoinnull5.090195true40nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.7018true50nullnullfalse
app-20220209230053-002824HashAggregatenull1.004false53nullnullfalse
app-20220209230053-002824Projectnull3.00196truenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.01212112truenullnullnullfalse
app-20220209230053-002824Filternull1.00144false51nullnullfalse
app-20220209230053-002823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.2374136true45:52:51nullnullfalse
app-20220209230053-002817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5098true37nullnullfalse
app-20220209230053-002824Filternull2.80216true32nullnullfalse
app-20220209230053-002824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230053-002824Exchangenull4.27422580true46:52:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159659truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (7)WholeStageCodegen (7)8.026532234true50Sort35false
app-20220209230053-002824Exchangenull4.264161true52:53nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0084false46nullnulltrue
app-20220209230053-002824Projectnull3.00166truenullnullnullfalse
app-20220209230053-002824Filternull2.80138true45nullnullfalse
app-20220209230053-002824Projectnull3.0076truenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70148true51nullnullfalse
app-20220209230053-002824Exchangenull4.236854186true42:44nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.83141204108true35Filter:ColumnarToRow109:110false
app-20220209230053-002813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70168true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (11)WholeStageCodegen (11)8.0773691078true51Sort79false
app-20220209230053-002824ReusedExchangenull1.0027falsenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.0118326truenullnullnullfalse
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app-20220209230053-002824Scan parquet null3.0525213true33nullnullfalse
app-20220209230053-002824WholeStageCodegen (48)WholeStageCodegen (48)1.03979159false53HashAggregate160false
app-20220209230053-002824Sortnull8.00106true37nullnullfalse
app-20220209230053-002824Filternull2.80205true39nullnullfalse
app-20220209230053-002824Projectnull3.008truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.007false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (14)WholeStageCodegen (14)5.671308543670true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin71:72:73:74:75:76:77false
app-20220209230053-002824HashAggregatenull1.00145false51nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.00110false35nullnulltrue
app-20220209230053-002824WholeStageCodegen (33)WholeStageCodegen (33)8.01156186169true52Sort170false
app-20220209230053-002824Exchangenull4.23485041true47:49nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0032false31nullnulltrue
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app-20220209230053-002818Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.01183182truenullnullnullfalse
app-20220209230053-002824Sortnull8.00170true52nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.00180false41nullnulltrue
app-20220209230053-002824HashAggregatenull4.5040true49nullnullfalse
app-20220209230053-002824Scan parquet null3.07319350true47nullnullfalse
app-20220209230053-002824WholeStageCodegen (40)WholeStageCodegen (40)8.00232true52Sort233false
app-20220209230053-002816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.80198true40nullnullfalse
app-20220209230053-002824Scan parquet null3.0736225true48nullnullfalse
app-20220209230053-002824Projectnull3.00240truenullnullnullfalse
app-20220209230053-002824Filternull2.80211true33nullnullfalse
app-20220209230053-002824Sortnull8.00121true37nullnullfalse
app-20220209230053-002824WholeStageCodegen (18)WholeStageCodegen (18)8.05641193149true51Sort150false
app-20220209230053-002824Filternull2.80117true34nullnullfalse
app-20220209230053-002824WholeStageCodegen (22)WholeStageCodegen (22)2.9305154true31Project:Filter:ColumnarToRow155:156:157false
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app-20220209230053-002814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (9)WholeStageCodegen (9)8.031903113true51Sort14false
app-20220209230053-002824Sortnull8.0035true50nullnullfalse
app-20220209230053-002824Sortnull8.0087true51nullnullfalse
app-20220209230053-002824HashAggregatenull1.0099false37nullnullfalse
app-20220209230053-002824Scan parquet null3.0972392true43nullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)5.76707748097true37HashAggregate:HashAggregate:HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin98:99:100:101:102:103:104false
app-20220209230053-002824WholeStageCodegen (22)WholeStageCodegen (22)2.930529true31Project:Filter:ColumnarToRow30:31:32false
app-20220209230053-002824BroadcastHashJoinnull5.09047true47nullnullfalse
app-20220209230053-002824Projectnull3.00188truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (12)WholeStageCodegen (12)2.81437289true43Filter:ColumnarToRow90:91false
app-20220209230053-002824SubqueryBroadcastnull3.0108201truenullnullnullfalse
app-20220209230053-002824Projectnull3.0082truenullnullnullfalse
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app-20220209230053-002824SortMergeJoinnull22.7011true51nullnullfalse
app-20220209230053-002824Projectnull3.00116truenullnullnullfalse
app-20220209230053-002824ReusedExchangenull1.0052falsenullnullnullfalse
app-20220209230053-002824Filternull2.8039true49nullnullfalse
app-20220209230053-00285Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00194truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.827817123true36Filter:ColumnarToRow124:125false
app-20220209230053-002824Filternull2.8083true46nullnullfalse
app-20220209230053-002824Projectnull3.00164truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.07610479105true37Sort106false
app-20220209230053-002824Exchangenull4.224920191true40:42nullnullfalse
app-20220209230053-002824Filternull2.80109true35nullnullfalse
app-20220209230053-002824Projectnull3.00103truenullnullnullfalse
app-20220209230053-002820Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull1.00237false52nullnullfalse
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app-20220209230053-002824ColumnarToRownull1.00131false34nullnulltrue
app-20220209230053-002824ColumnarToRownull1.0063false33nullnulltrue
app-20220209230053-002824WholeStageCodegen (25)WholeStageCodegen (25)2.815032178true41Filter:ColumnarToRow179:180false
app-20220209230053-002824ColumnarToRownull1.00206false39nullnulltrue
app-20220209230053-002824SortMergeJoinnull22.7077true51nullnullfalse
app-20220209230053-002824Exchangenull4.2124122true36:37nullnullfalse
app-20220209230053-002824WholeStageCodegen (37)WholeStageCodegen (37)8.09684161229true52Sort230false
app-20220209230053-002824ColumnarToRownull1.00199false40nullnulltrue
app-20220209230053-002824Sortnull8.00150true51nullnullfalse
app-20220209230053-002824Projectnull3.00147truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (24)WholeStageCodegen (24)1.0153863false53HashAggregate4false
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.9548209true33Project:Filter:ColumnarToRow210:211:212false
app-20220209230053-002824Scan parquet null3.0287158true31nullnullfalse
app-20220209230053-002824HashAggregatenull1.0074false51nullnullfalse
app-20220209230053-002824ReusedExchangenull1.00113falsenullnullnullfalse
app-20220209230053-002824Subquerynull1.0093falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.215288true43:52:51nullnullfalse
app-20220209230053-002824Sortnull8.00135true51nullnullfalse
app-20220209230053-002824Projectnull3.0038truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00160false53nullnullfalse
app-20220209230053-002824Scan parquet null3.0324132true34nullnullfalse
app-20220209230053-002824WholeStageCodegen (20)WholeStageCodegen (20)8.05632344151true51Sort152false
app-20220209230053-002824Scan parquet null3.0104034200true40nullnullfalse
app-20220209230053-002824WholeStageCodegen (31)WholeStageCodegen (31)8.0280275183true44Sort184false
app-20220209230053-002824Exchangenull4.281921true48:50nullnullfalse
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954854true33Project:Filter:ColumnarToRow55:56:57false
app-20220209230053-002824WholeStageCodegen (7)WholeStageCodegen (7)4.5994true38HashAggregate95false
app-20220209230053-00280Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.8090true43nullnullfalse
app-20220209230053-002824Scan parquet null3.031207true39nullnullfalse
app-20220209230053-002824ReusedExchangenull1.00185falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.92484989842true47HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow43:44:45:46:47:48:49false
app-20220209230053-002824Sortnull8.00243true52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00100false37nullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090197true40nullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.43329696187true42Project:Filter:HashAggregate188:189:190false
app-20220209230053-002824Sortnull8.00184true44nullnullfalse
app-20220209230053-002824Scan parquet null3.0324119true34nullnullfalse
app-20220209230053-002822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.8056true33nullnullfalse
app-20220209230053-002824Sortnull8.0014true51nullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.0909true51nullnullfalse
app-20220209230053-002824Projectnull3.0061truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (16)WholeStageCodegen (16)8.00134true51Sort135false
app-20220209230053-002819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0044truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (44)WholeStageCodegen (44)8.07091464244true52Sort245false
app-20220209230750-003624WholeStageCodegen (19)WholeStageCodegen (19)2.811348582true40Filter:ColumnarToRow83:84false
app-20220209230750-003624Projectnull3.005truenullnullnullfalse
app-20220209230750-003624SortMergeJoinnull22.7023true37nullnullfalse
app-20220209230750-003624ColumnarToRownull1.0039false32nullnulltrue
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app-20220209230750-003624ColumnarToRownull1.0090false31nullnulltrue
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app-20220209230750-003624Scan parquet null3.0939853true33nullnullfalse
app-20220209230750-003624Scan parquet null3.0892791true31nullnullfalse
app-20220209230750-003624ReusedExchangenull1.0034falsenullnullnullfalse
app-20220209230750-003624BroadcastHashJoinnull5.0904true42nullnullfalse
app-20220209230750-003624BroadcastExchangenull3.0149435truenullnullnullfalse
app-20220209230750-003614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624Sortnull8.0055true41nullnullfalse
app-20220209230750-003624Projectnull3.0071truenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (11)WholeStageCodegen (11)8.062515967true35Sort68false
app-20220209230750-003624Scan parquet null3.06281985true40nullnullfalse
app-20220209230750-003611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (6)WholeStageCodegen (6)10.07191090520true37HashAggregate:Project:SortMergeJoin21:22:23false
app-20220209230750-003624Filternull1.0056false41nullnullfalse
app-20220209230750-003624SortMergeJoinnull22.7066true35nullnullfalse
app-20220209230750-003624Sortnull8.0014true41nullnullfalse
app-20220209230750-003624HashAggregatenull4.5061true39nullnullfalse
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app-20220209230750-003624Sortnull8.008true42nullnullfalse
app-20220209230750-00363Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (14)WholeStageCodegen (14)10.0754130563true35HashAggregate:Project:SortMergeJoin64:65:66false
app-20220209230750-003624Projectnull3.0022truenullnullnullfalse
app-20220209230750-003624ColumnarToRownull1.0052false33nullnulltrue
app-20220209230750-003624WholeStageCodegen (7)WholeStageCodegen (7)3.6535682516true38Filter:HashAggregate17:18false
app-20220209230750-003624Filternull2.8089true31nullnullfalse
app-20220209230750-003615Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-00365Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (2)WholeStageCodegen (2)3.6340442927true36Project:BroadcastHashJoin:Filter:ColumnarToRow28:29:30:31false
app-20220209230750-003624BroadcastExchangenull3.0149441truenullnullnullfalse
app-20220209230750-003624Projectnull3.0065truenullnullnullfalse
app-20220209230750-003624HashAggregatenull4.5021true37nullnullfalse
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app-20220209230750-00367Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624WholeStageCodegen (18)WholeStageCodegen (18)8.04382647true42Sort8false
app-20220209230750-00360Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624Exchangenull4.29152569true34:35nullnullfalse
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app-20220209230750-003624WholeStageCodegen (5)WholeStageCodegen (5)8.0176929047true37Sort48false
Showing the first 1000 rows.
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template","dashboards":[{"elements":[],"guid":"0ed3c80b-b2f6-4c89-9a92-1af2f168d5ea","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2721260844584915,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"ab4cecf9-0471-4fee-aa33-8927bb7e1bb1","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2721260844584916,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":551,"breakBefore":false},{"name":"output_path","width":551,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"88986aa6-6e67-4d09-aeeb-7c96ea1ea8f1","currentValue":"/dbfs/user1/qualification_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"0b9846bd-5c3e-4ae2-ba00-80bb9da1ee32","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2721260844584890}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","source":["# Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\nTo run the tool, you need to enter a log path that represents the DBFS location for your Spark CPU event logs. Then you can select \"Run all\" to execute the notebook. After the notebook completes, you will see various output tables show up below. More options for running the qualification tool can be found here: https://nvidia.github.io/spark-rapids/docs/spark-qualification-tool.html#qualification-tool-options.\n\n## Summary Output\nThe report represents the entire app execution, including unsupported operators and non-SQL operations. By default, the applications and queries are sorted in descending order by the following fields:\n- Recommendation;\n- Estimated GPU Speed-up;\n- Estimated GPU Time Saved; and\n- End Time.\n\n## Stages Output\nFor each stage used in SQL operations, the Qualification tool generates the following information:\n1. App ID\n1. Stage ID\n1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n\n## Execs Output\nThe Qualification tool generates a report of the “Exec” in the “SparkPlan” or “Executor Nodes” along with the estimated acceleration on the GPU. Please refer to the Supported Operators guide for more details on limitations on UDFs and unsupported operators.\n1. App ID\n1. SQL ID\n1. Exec Name: example Filter, HashAggregate\n1. Expression Name\n1. Task Speedup Factor: it is simply the average acceleration of the operators based on the original CPU duration of the operator divided by the GPU duration. The tool uses historical queries and benchmarks to estimate a speed-up at an individual operator level to calculate how much a specific operator would accelerate on GPU.\n1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n1. SQL Node Id\n1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n1. Exec Stages: an array of stage IDs\n1. Exec Children\n1. Exec Children Node Ids\n1. Exec Should Remove: whether the Op is removed from the migrated plan."],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"df33c614-2ecc-47a0-8600-bc891681997f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["import json\nimport requests\nimport base64\nimport shlex\nimport subprocess\nimport pandas as pd\n\n# Download Spark RAPIDS tool jar\nTOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/23.04.0/rapids-4-spark-tools_2.12-23.04.0.jar'\nTOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\nresponse = requests.get(TOOL_JAR_URL)\nopen(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)\n\n# Download S3 jars\nHADOOP_AWS_URL = 'https://repo.maven.apache.org/maven2/org/apache/hadoop/hadoop-aws/2.7.4/hadoop-aws-2.7.4.jar'\nHADOOP_AWS_LOCAL_PATH = '/tmp/hadoop-aws-2.7.4.jar'\nresponse = requests.get(HADOOP_AWS_URL)\nopen(HADOOP_AWS_LOCAL_PATH, \"wb\").write(response.content)\n\nAWS_JAVA_URL = 'https://repo.maven.apache.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar'\nAWS_JAVA_LOCAL_PATH = '/tmp/aws-java-sdk-1.7.4.jar'\nresponse = requests.get(AWS_JAVA_URL)\nopen(AWS_JAVA_LOCAL_PATH, \"wb\").write(response.content)\n\n"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[38]: 11948376
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[38]: 11948376
"]}}],"execution_count":0},{"cell_type":"code","source":["dbutils.widgets.text(\"log_path\", \"\")\neventlog_string=dbutils.widgets.get(\"log_path\")\n\ndbutils.widgets.text(\"output_path\", \"\")\noutputpath_string=dbutils.widgets.get(\"output_path\")"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"acf401a3-12d3-4236-a6c5-8fe8990b153a","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["!java -Xmx10g -cp /tmp/rapids-4-spark-tools.jar:/tmp/hadoop-aws-2.7.4.jar:/tmp/aws-java-sdk-1.7.4.jar:/databricks/jars/* com.nvidia.spark.rapids.tool.qualification.QualificationMain -o $outputpath_string $eventlog_string &> /tmp/qual_debug.log"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"65c4e778-5505-4334-ab89-424334803253","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Summary Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["summary_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output.csv\")\ndisplay(summary_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"fb8edb26-e173-47ff-92a1-463baec7c06b","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":false,"datasetInfos":[],"data":[["TPC-DS Like Bench q14b","app-20220209225233-0018","Strongly Recommended",2.7,48971.53,83400.46,112708,27066964,132372,109793,65.66,null,null,null,null,null,null,112701,2939275,700037,26366927,4.16,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q14a","app-20220209225013-0017","Strongly Recommended",2.66,51728.96,86381.03,117178,28746000,138110,112636,64.69,null,null,null,null,null,null,117172,2978987,1114076,27631924,4.29,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q4","app-20220209224316-0007","Strongly Recommended",2.66,41856.03,69720.96,90167,85324700,111577,90167,65.09,null,null,null,null,null,null,90163,3086516,0,85324700,4.41,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q24b","app-20220209230348-0030","Recommended",2.34,32581.07,43720.92,56748,27574691,76302,56694,60.89,null,null,null,null,null,null,56741,2950634,25998,27548693,4.37,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q67","app-20220209232913-0074","Recommended",2.27,144720.72,184416.27,308185,15437192,329137,265300,73.64,null,null,null,null,null,null,308174,3028469,2148108,13289084,3.28,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q24a","app-20220209230232-0029","Recommended",2.25,33029.22,41483.77,53469,27911960,74513,53202,60.14,null,null,null,null,null,null,53455,3305140,139193,27772767,4.54,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal"],["TPC-DS Like Bench q93","app-20220209235239-0100","Recommended",2.18,31203.42,36894.57,50166,29213056,68098,50166,64.73,null,null,null,null,null,null,50161,2973035,0,29213056,3.78,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q23a","app-20220209225917-0027","Recommended",2.17,43196.97,50617.02,74068,45913641,93814,66840,64.81,null,null,null,null,null,null,74064,2975228,4480262,41433379,4.12,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q23b","app-20220209230053-0028","Recommended",2.08,46588.14,50761.85,77422,59799857,97350,66526,66.43,null,null,null,null,null,null,77417,3011951,8415627,51384230,4.22,false,"HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","DecimalType;decimal"],["TPC-DS Like Bench q72","app-20220209233659-0079","Recommended",1.97,30920.88,30054.11,41703,25434438,60975,41703,74.77,null,null,null,null,null,null,41694,2971887,0,25434438,3.58,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q64","app-20220209232701-0071","Recommended",1.95,30544.61,29103.38,38925,31852357,59648,37301,55.12,null,null,null,null,null,null,38919,2987987,1328490,30523867,4.55,false,"HashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q78","app-20220209234412-0085","Recommended",1.94,24390.79,22946.2,29098,24753911,47337,29098,56.99,null,null,null,null,null,null,29090,2968697,0,24753911,4.73,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q95","app-20220209235427-0102","Recommended",1.9,29920.38,26967.61,37674,23337528,56888,35528,49.19,null,null,null,null,null,null,37667,2958216,1328886,22008642,4.15,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q87","app-20220209234925-0094","Recommended",1.81,25518.2,20871.79,26279,16348325,46390,26279,52.04,null,null,null,null,null,null,26272,2954066,0,16348325,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q50","app-20220209231919-0057","Recommended",1.76,26735.89,20549.1,28736,16444045,47285,28736,52.87,null,null,null,null,null,null,28732,3339217,0,16444045,3.51,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q97","app-20220209235552-0104","Recommended",1.76,24057.8,18398.19,23731,11475611,42456,23731,58.69,null,null,null,null,null,null,23727,3009477,0,11475611,4.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q75","app-20220209233914-0082","Recommended",1.74,25544.26,18972.73,24939,19831478,44517,24939,43.74,null,null,null,null,null,null,24933,2987306,0,19831478,4.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q38","app-20220209231214-0044","Recommended",1.73,23047.06,16910.93,21292,15248682,39958,21292,48.81,null,null,null,null,null,null,21288,3167687,0,15248682,4.86,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q31","app-20220209230826-0037","Recommended",1.68,23595.69,16242.3,20407,12617670,39838,20407,34.76,null,null,null,null,null,null,20399,2942830,0,12617670,4.9,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q74","app-20220209233831-0081","Recommended",1.68,24668.06,16781.93,21747,16692240,41450,21747,46.93,null,null,null,null,null,null,21741,3325282,0,16692240,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q11","app-20220209224833-0014","Recommended",1.62,26707.24,16820.75,24208,17615125,43528,22143,45.76,null,null,null,null,null,null,24205,2917642,1502045,16113080,4.16,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q16","app-20220209225524-0020","Recommended",1.62,25717.33,16006.66,22726,18535920,41724,21306,44.67,null,null,null,null,null,null,22720,3028781,1157466,17378454,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q51","app-20220209232008-0058","Recommended",1.59,21942.35,13069.64,16925,12278939,35012,16925,47.26,null,null,null,null,null,null,16920,2979507,0,12278939,4.38,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q81","app-20220209234611-0088","Recommended",1.58,23125.59,13612.4,17437,10033526,36738,17393,36.22,null,null,null,null,null,null,17431,3083743,24955,10008571,4.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q65","app-20220209232803-0072","Recommended",1.57,23403.59,13469.4,18332,10164071,36873,18332,46.41,null,null,null,null,null,null,18324,2941892,0,10164071,3.77,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q30","app-20220209230750-0036","Recommended",1.56,21777.06,12322.93,16070,8447753,34100,16023,33.65,null,null,null,null,null,null,16063,2987480,24435,8423318,4.33,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q15","app-20220209225447-0019","Recommended",1.52,23166.12,12074.87,15970,6770100,35241,15970,34.25,null,null,null,null,null,null,15964,2923648,0,6770100,4.09,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q35","app-20220209231035-0041","Recommended",1.51,24552.13,12648.86,18298,10027023,37201,17010,37.15,null,null,null,null,null,null,18293,3059747,705510,9321513,3.9,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q8","app-20220209224648-0011","Recommended",1.51,23372.7,12016.29,15691,6693324,35389,15691,20.01,null,null,null,null,null,null,15686,3133963,0,6693324,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q69","app-20220209233517-0076","Recommended",1.5,24534.64,12431.35,16589,7246714,36966,16589,27.75,null,null,null,null,null,null,16583,2963952,0,7246714,3.99,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q94","app-20220209235349-0101","Recommended",1.5,24361.44,12284.55,17424,13168326,36646,16352,41.87,null,null,null,null,null,null,17416,3048502,809952,12358374,4.01,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_sum"],["TPC-DS Like Bench q54","app-20220209232140-0061","Recommended",1.5,23475.06,11742.93,15568,5555140,35218,15568,28.65,null,null,null,null,null,null,15563,3021018,0,5555140,4.07,false,"Execute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q39a","app-20220209231256-0045","Recommended",1.49,22102.22,10863.77,14136,4794226,32966,14136,24.49,null,null,null,null,null,null,14131,2998677,0,4794226,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q29","app-20220209230713-0035","Recommended",1.49,23597.91,11588.08,15912,10021701,35186,15912,44.09,null,null,null,null,null,null,15905,3057910,0,10021701,3.68,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q47","app-20220209231740-0054","Recommended",1.48,23520.63,11417.36,15246,8996925,34938,15160,35.78,null,null,null,null,null,null,15241,3107687,50299,8946626,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q59","app-20220209232422-0066","Recommended",1.48,24246.78,11658.21,16091,6749831,35905,16091,34.65,null,null,null,null,null,null,16084,3068245,0,6749831,3.63,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q6","app-20220209224544-0009","Recommended",1.46,22488.01,10526.98,13758,6335474,33015,13756,30.04,null,null,null,null,null,null,13753,2943126,863,6334611,4.26,false,"Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q80","app-20220209234532-0087","Recommended",1.46,25298.12,11841.87,16742,12630126,37140,15856,40.02,null,null,null,null,null,null,16735,3360633,668346,11961780,3.95,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q39b","app-20220209231330-0046","Recommended",1.46,22094.04,10341.95,13457,3807675,32436,13457,30.24,null,null,null,null,null,null,13451,2941727,0,3807675,4.32,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q57","app-20220209232314-0064","Recommended",1.46,22995.99,10722.0,14351,8374423,33718,14237,31.73,null,null,null,null,null,null,14345,2948771,66283,8308140,4.05,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q1","app-20220209224147-0004","Recommended",1.46,21599.35,10007.64,13417,7598550,31607,13321,37.09,null,null,null,null,null,null,13412,3012015,54119,7544431,4.01,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q18","app-20220209225644-0022","Recommended",1.44,22216.88,9865.11,13492,7586670,32082,13492,33.42,null,null,null,null,null,null,13484,2962080,0,7586670,3.72,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q45","app-20220209231631-0052","Recommended",1.44,23723.45,10458.54,14455,5768757,34182,14154,33.74,null,null,null,null,null,null,14447,2957022,120068,5648689,3.83,false,"Execute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRow",null],["TPC-DS Like Bench q17","app-20220209225607-0021","Recommended",1.43,24334.61,10564.38,14420,7818278,34899,14420,37.4,null,null,null,null,null,null,14412,3106844,0,7818278,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q25","app-20220209230506-0031","Recommended",1.43,21671.78,9370.21,12790,7060196,31042,12790,34.97,null,null,null,null,null,null,12784,3060435,0,7060196,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q49","app-20220209231846-0056","Recommended",1.42,22231.44,9476.55,12466,8785195,31708,12466,26.92,null,null,null,null,null,null,12448,3080539,0,8785195,4.17,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q46","app-20220209231707-0053","Recommended",1.42,22047.85,9385.14,12318,6163042,31433,12318,26.39,null,null,null,null,null,null,12312,3017041,0,6163042,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q10","app-20220209224756-0013","Recommended",1.42,24919.87,10489.12,15574,7745798,35409,14432,30.14,null,null,null,null,null,null,15567,3236768,567780,7178018,3.66,false,"Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q68","app-20220209233444-0075","Recommended",1.41,21674.52,9006.47,11821,5109423,30681,11821,20.54,null,null,null,null,null,null,11814,3004334,0,5109423,4.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q5","app-20220209224509-0008","Recommended",1.41,23548.42,9749.57,13729,8967631,33298,13729,41.35,null,null,null,null,null,null,13722,3186659,0,8967631,3.45,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q34","app-20220209231004-0040","Recommended",1.4,20675.69,8427.3,10842,5053339,29103,10842,27.34,null,null,null,null,null,null,10836,2994320,0,5053339,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q82","app-20220209234649-0089","Recommended",1.4,22206.53,8955.46,12212,7344489,31162,12212,39.29,null,null,null,null,null,null,12199,2973553,0,7344489,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q85","app-20220209234821-0092","Recommended",1.4,24121.11,9726.88,13468,7684101,33848,13468,29.91,null,null,null,null,null,null,13462,2949755,0,7684101,3.6,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q28","app-20220209230637-0034","Recommended",1.39,24599.41,9839.58,15464,14309580,34439,13823,33.04,null,null,null,null,null,null,15458,3008413,1518296,12791284,3.47,false,"AdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRow","merge_avg;merge_count"],["TPC-DS Like Bench q58","app-20220209232349-0065","Recommended",1.39,22489.0,8770.99,12322,5717106,31260,12322,34.17,null,null,null,null,null,null,12313,3102820,0,5717106,3.47,false,"Execute CreateViewCommand;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q19","app-20220209225718-0023","Recommended",1.38,21689.15,8456.84,11373,5749051,30146,11373,23.22,null,null,null,null,null,null,11364,3161292,0,5749051,3.9,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q61","app-20220209232531-0068","Recommended",1.38,23308.72,9017.27,12357,4376440,32326,12357,36.63,null,null,null,null,null,null,12349,3022176,0,4376440,3.7,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q71","app-20220209233627-0078","Recommended",1.38,21967.67,8440.32,11371,4987537,30408,11371,21.81,null,null,null,null,null,null,11363,3052139,0,4987537,3.88,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q22","app-20220209225845-0026","Recommended",1.38,22397.03,8535.96,12381,1736064,30933,12381,50.01,null,null,null,null,null,null,12376,2929875,0,1736064,3.22,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q70","app-20220209233555-0077","Recommended",1.37,21798.79,8233.2,10751,4816235,30032,10751,33.51,null,null,null,null,null,null,10746,3034688,0,4816235,4.26,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q83","app-20220209234722-0090","Recommended",1.36,21949.16,8010.83,10956,5253931,29960,10956,26.62,null,null,null,null,null,null,10949,2993826,0,5253931,3.72,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q98","app-20220209235636-0105","Recommended",1.36,20487.86,7376.13,9674,3164505,27864,9674,21.36,null,null,null,null,null,null,9669,2953354,0,3164505,4.21,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q79","app-20220209234502-0086","Recommended",1.35,21073.77,7578.22,10344,5584295,28652,10344,29.69,null,null,null,null,null,null,10340,3007559,0,5584295,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q73","app-20220209233802-0080","Recommended",1.35,20143.11,7154.88,9205,3086301,27298,9205,27.46,null,null,null,null,null,null,9201,2929775,0,3086301,4.49,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q91","app-20220209235141-0098","Recommended",1.34,22090.61,7648.38,10351,3106198,29739,10351,23.11,null,null,null,null,null,null,10347,2997584,0,3106198,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q37","app-20220209231143-0043","Recommended",1.34,22130.6,7605.4,10371,5754398,29736,10371,38.21,null,null,null,null,null,null,10366,3003155,0,5754398,3.75,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q44","app-20220209231559-0051","Recommended",1.34,22359.33,7652.66,10956,7175937,30012,10347,29.11,null,null,null,null,null,null,10950,3029969,398712,6777225,3.84,false,"AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q9","app-20220209224725-0012","Recommended",1.33,21873.81,7315.18,9829,8064543,29189,9829,35.84,null,null,null,null,null,null,9823,3021491,0,8064543,3.91,false,"Execute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRow",null],["TPC-DS Like Bench q40","app-20220209231405-0047","Recommended",1.33,24561.7,8167.29,12119,8004983,32729,11272,36.85,null,null,null,null,null,null,12110,3142013,558989,7445994,3.63,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q2","app-20220209224220-0005","Recommended",1.32,21301.46,6890.53,8966,4724046,28192,8966,38.76,null,null,null,null,null,null,8960,3025086,0,4724046,4.32,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench ss_max","app-20220209235735-0107","Recommended",1.31,20784.37,6539.62,9176,5331368,27324,8883,40.82,null,null,null,null,null,null,9171,3049122,169902,5161466,3.79,false,"Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow","merge_count;merge_max"],["TPC-DS Like Bench q60","app-20220209232500-0067","Recommended",1.31,22250.37,6983.62,9811,3834676,29234,9811,19.92,null,null,null,null,null,null,9806,2939560,0,3834676,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q13","app-20220209224945-0016","Recommended",1.31,20407.71,6360.28,8816,4265966,26768,8816,34.5,null,null,null,null,null,null,8808,2951094,0,4265966,3.59,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q56","app-20220209232242-0063","Recommended",1.3,22798.87,7044.12,9896,3729466,29843,9896,14.44,null,null,null,null,null,null,9890,2971656,0,3729466,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q76","app-20220209234000-0083","Recommended",1.3,22630.64,6827.35,9835,6264831,29458,9835,33.9,null,null,null,null,null,null,9830,3037202,0,6264831,3.27,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q33","app-20220209230935-0039","Recommended",1.3,21561.95,6491.04,9119,3032680,28053,9119,18.14,null,null,null,null,null,null,9111,2983234,0,3032680,3.47,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q88","app-20220209235013-0095","Recommended",1.3,23989.56,7197.43,9998,6687038,31187,9998,43.92,null,null,null,null,null,null,9987,3212440,0,6687038,3.57,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q7","app-20220209224619-0010","Not Recommended",1.29,20663.5,6143.5,8936,4022166,26807,8936,35.88,null,null,null,null,null,null,8929,2959904,0,4022166,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q48","app-20220209231816-0055","Not Recommended",1.29,21310.47,6237.52,8514,3969649,27548,8514,33.42,null,null,null,null,null,null,8507,2990347,0,3969649,3.74,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q26","app-20220209230539-0032","Not Recommended",1.28,21556.18,6109.81,8887,4002441,27666,8887,36.79,null,null,null,null,null,null,8876,3012952,0,4002441,3.2,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q12","app-20220209224918-0015","Not Recommended",1.27,19624.36,5459.63,7584,1865587,25084,7584,23.82,null,null,null,null,null,null,7577,3102250,0,1865587,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q62","app-20220209232605-0069","Not Recommended",1.27,21448.22,5877.77,8574,4218821,27326,8574,36.47,null,null,null,null,null,null,8565,3017055,0,4218821,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q20","app-20220209225749-0024","Not Recommended",1.26,21250.95,5641.04,7836,2040974,26892,7836,22.51,null,null,null,null,null,null,7829,3039094,0,2040974,3.57,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q99","app-20220209235705-0106","Not Recommended",1.25,22355.32,5801.67,8463,4558275,28157,8463,33.1,null,null,null,null,null,null,8455,2973149,0,4558275,3.18,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q36","app-20220209231114-0042","Not Recommended",1.25,21356.73,5527.26,7756,3642750,26884,7756,30.08,null,null,null,null,null,null,7752,2905924,0,3642750,3.48,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q89","app-20220209235046-0096","Not Recommended",1.25,20969.23,5401.76,7869,4029740,26371,7615,24.99,null,null,null,null,null,null,7858,3012145,129765,3899975,3.44,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q86","app-20220209234857-0093","Not Recommended",1.25,21140.77,5388.22,7493,3505441,26529,7493,29.09,null,null,null,null,null,null,7489,3240380,0,3505441,3.56,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q27","app-20220209230608-0033","Not Recommended",1.25,22114.89,5587.1,8150,3737103,27702,8150,29.62,null,null,null,null,null,null,8143,3067371,0,3737103,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q66","app-20220209232841-0073","Not Recommended",1.24,24291.91,5938.08,9771,5287383,30230,8612,35.68,null,null,null,null,null,null,9765,2922061,626680,4660703,3.22,false,"Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow","DecimalType"],["TPC-DS Like Bench q53","app-20220209232111-0060","Not Recommended",1.23,22160.97,5233.02,7622,3879496,27394,7368,25.54,null,null,null,null,null,null,7617,2905347,128795,3750701,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q84","app-20220209234754-0091","Not Recommended",1.23,21195.3,4968.69,7129,3814060,26164,7129,40.65,null,null,null,null,null,null,7123,3029105,0,3814060,3.3,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q63","app-20220209232634-0070","Not Recommended",1.23,21192.66,4957.33,7215,3490147,26150,6980,26.58,null,null,null,null,null,null,7207,2976838,113318,3376829,3.45,false,"Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow","decimal;DecimalType"],["TPC-DS Like Bench q43","app-20220209231533-0050","Not Recommended",1.23,19958.18,4641.81,6660,3257940,24600,6660,29.65,null,null,null,null,null,null,6651,2961446,0,3257940,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench ss_maxb","app-20220209235804-0108","Not Recommended",1.23,19063.41,4414.58,5825,3798491,23478,5825,48.17,null,null,null,null,null,null,5819,3155711,0,3798491,4.13,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q3","app-20220209224250-0006","Not Recommended",1.22,20089.36,4522.63,6489,2898373,24612,6489,26.88,null,null,null,null,null,null,6483,3094853,0,2898373,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q21","app-20220209225818-0025","Not Recommended",1.22,20413.61,4531.38,6610,1072926,24945,6610,40.94,null,null,null,null,null,null,6605,3079474,0,1072926,3.18,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow",null],["TPC-DS Like Bench q55","app-20220209232217-0062","Not Recommended",1.22,19494.18,4296.81,6165,2612787,23791,6165,24.78,null,null,null,null,null,null,6158,2995446,0,2612787,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q92","app-20220209235212-0099","Not Recommended",1.21,20741.45,4549.54,6384,2095601,25291,6123,25.07,null,null,null,null,null,null,6380,2967129,85419,2010182,3.89,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q90","app-20220209235114-0097","Not Recommended",1.21,20450.98,4350.01,6209,2604676,24801,6209,44.95,null,null,null,null,null,null,6204,2976499,0,2604676,3.34,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q32","app-20220209230908-0038","Not Recommended",1.2,20973.26,4366.73,6107,2712962,25340,5909,25.21,null,null,null,null,null,null,6098,3048254,87623,2625339,3.83,false,"Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter","DECIMAL"],["TPC-DS Like Bench q42","app-20220209231505-0049","Not Recommended",1.2,21414.78,4436.21,6365,2726759,25851,6365,23.15,null,null,null,null,null,null,6358,3047836,0,2726759,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q52","app-20220209232045-0059","Not Recommended",1.19,20523.3,4071.69,5842,2683090,24595,5842,25.46,null,null,null,null,null,null,5827,3074975,0,2683090,3.3,false,"Execute CreateViewCommand;ColumnarToRow",null],["TPC-DS Like Bench q41","app-20220209231439-0048","Not Recommended",1.19,20533.93,4071.06,5649,161564,24605,5649,55.4,null,null,null,null,null,null,5642,2970757,0,161564,3.58,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["TPC-DS Like Bench q96","app-20220209235526-0103","Not Recommended",1.18,20189.67,3776.32,5324,2304428,23966,5324,44.32,null,null,null,null,null,null,5317,2947875,0,2304428,3.44,false,"Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow",null],["DART-ALGO","application_1665146417445_0002","Not Recommended",1.04,375798.12,16253.87,44531,75900172,392052,23675,14.55,null,null,null,null,null,null,16579,58017590,35546441,40353731,3.19,false,"Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimit",null],["DART-ALGO","application_1665146417445_0003","Not Recommended",1.0,690682.0,0.0,0,0,690682,0,0.0,null,null,null,null,null,null,0,0,0,0,1.0,false,null,null]],"plotOptions":{"displayType":"table","customPlotOptions":{},"pivotColumns":null,"pivotAggregation":null,"xColumns":null,"yColumns":null},"columnCustomDisplayInfos":{},"aggType":"","isJsonSchema":true,"removedWidgets":[],"aggSchema":[],"schema":[{"name":"App Name","type":"\"string\"","metadata":"{}"},{"name":"App ID","type":"\"string\"","metadata":"{}"},{"name":"Recommendation","type":"\"string\"","metadata":"{}"},{"name":"Estimated GPU Speedup","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Duration","type":"\"double\"","metadata":"{}"},{"name":"Estimated GPU Time Saved","type":"\"double\"","metadata":"{}"},{"name":"SQL DF Duration","type":"\"long\"","metadata":"{}"},{"name":"SQL Dataframe Task Duration","type":"\"long\"","metadata":"{}"},{"name":"App Duration","type":"\"long\"","metadata":"{}"},{"name":"GPU Opportunity","type":"\"long\"","metadata":"{}"},{"name":"Executor CPU Time Percent","type":"\"double\"","metadata":"{}"},{"name":"SQL Ids with Failures","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Read File Formats and Types","type":"\"double\"","metadata":"{}"},{"name":"Unsupported Write Data Format","type":"\"double\"","metadata":"{}"},{"name":"Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Nested Complex Types","type":"\"double\"","metadata":"{}"},{"name":"Potential Problems","type":"\"double\"","metadata":"{}"},{"name":"Longest SQL Duration","type":"\"long\"","metadata":"{}"},{"name":"NONSQL Task Duration Plus Overhead","type":"\"long\"","metadata":"{}"},{"name":"Unsupported Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Supported SQL DF Task Duration","type":"\"long\"","metadata":"{}"},{"name":"Task Speedup Factor","type":"\"double\"","metadata":"{}"},{"name":"App Duration Estimated","type":"\"boolean\"","metadata":"{}"},{"name":"Unsupported Execs","type":"\"string\"","metadata":"{}"},{"name":"Unsupported Expressions","type":"\"string\"","metadata":"{}"}],"aggError":"","aggData":[],"addedWidgets":{},"metadata":{},"dbfsResultPath":null,"type":"table","aggOverflow":false,"aggSeriesLimitReached":false,"arguments":{}}},"output_type":"display_data","data":{"text/html":["
App NameApp IDRecommendationEstimated GPU SpeedupEstimated GPU DurationEstimated GPU Time SavedSQL DF DurationSQL Dataframe Task DurationApp DurationGPU OpportunityExecutor CPU Time PercentSQL Ids with FailuresUnsupported Read File Formats and TypesUnsupported Write Data FormatComplex TypesNested Complex TypesPotential ProblemsLongest SQL DurationNONSQL Task Duration Plus OverheadUnsupported Task DurationSupported SQL DF Task DurationTask Speedup FactorApp Duration EstimatedUnsupported ExecsUnsupported Expressions
TPC-DS Like Bench q14bapp-20220209225233-0018Strongly Recommended2.748971.5383400.461127082706696413237210979365.66nullnullnullnullnullnull1127012939275700037263669274.16falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q14aapp-20220209225013-0017Strongly Recommended2.6651728.9686381.031171782874600013811011263664.69nullnullnullnullnullnull11717229789871114076276319244.29falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q4app-20220209224316-0007Strongly Recommended2.6641856.0369720.9690167853247001115779016765.09nullnullnullnullnullnull9016330865160853247004.41falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q24bapp-20220209230348-0030Recommended2.3432581.0743720.925674827574691763025669460.89nullnullnullnullnullnull56741295063425998275486934.37falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q67app-20220209232913-0074Recommended2.27144720.72184416.273081851543719232913726530073.64nullnullnullnullnullnull30817430284692148108132890843.28falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q24aapp-20220209230232-0029Recommended2.2533029.2241483.775346927911960745135320260.14nullnullnullnullnullnull534553305140139193277727674.54falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal
TPC-DS Like Bench q93app-20220209235239-0100Recommended2.1831203.4236894.575016629213056680985016664.73nullnullnullnullnullnull5016129730350292130563.78falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q23aapp-20220209225917-0027Recommended2.1743196.9750617.027406845913641938146684064.81nullnullnullnullnullnull7406429752284480262414333794.12falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q23bapp-20220209230053-0028Recommended2.0846588.1450761.857742259799857973506652666.43nullnullnullnullnullnull7741730119518415627513842304.22falseHashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowDecimalType;decimal
TPC-DS Like Bench q72app-20220209233659-0079Recommended1.9730920.8830054.114170325434438609754170374.77nullnullnullnullnullnull4169429718870254344383.58falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q64app-20220209232701-0071Recommended1.9530544.6129103.383892531852357596483730155.12nullnullnullnullnullnull3891929879871328490305238674.55falseHashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q78app-20220209234412-0085Recommended1.9424390.7922946.22909824753911473372909856.99nullnullnullnullnullnull2909029686970247539114.73falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q95app-20220209235427-0102Recommended1.929920.3826967.613767423337528568883552849.19nullnullnullnullnullnull3766729582161328886220086424.15falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q87app-20220209234925-0094Recommended1.8125518.220871.792627916348325463902627952.04nullnullnullnullnullnull2627229540660163483254.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q50app-20220209231919-0057Recommended1.7626735.8920549.12873616444045472852873652.87nullnullnullnullnullnull2873233392170164440453.51falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q97app-20220209235552-0104Recommended1.7624057.818398.192373111475611424562373158.69nullnullnullnullnullnull2372730094770114756114.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q75app-20220209233914-0082Recommended1.7425544.2618972.732493919831478445172493943.74nullnullnullnullnullnull2493329873060198314784.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q38app-20220209231214-0044Recommended1.7323047.0616910.932129215248682399582129248.81nullnullnullnullnullnull2128831676870152486824.86falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q31app-20220209230826-0037Recommended1.6823595.6916242.32040712617670398382040734.76nullnullnullnullnullnull2039929428300126176704.9falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q74app-20220209233831-0081Recommended1.6824668.0616781.932174716692240414502174746.93nullnullnullnullnullnull2174133252820166922404.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q11app-20220209224833-0014Recommended1.6226707.2416820.752420817615125435282214345.76nullnullnullnullnullnull2420529176421502045161130804.16falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q16app-20220209225524-0020Recommended1.6225717.3316006.662272618535920417242130644.67nullnullnullnullnullnull2272030287811157466173784544.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q51app-20220209232008-0058Recommended1.5921942.3513069.641692512278939350121692547.26nullnullnullnullnullnull1692029795070122789394.38falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q81app-20220209234611-0088Recommended1.5823125.5913612.41743710033526367381739336.22nullnullnullnullnullnull17431308374324955100085714.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q65app-20220209232803-0072Recommended1.5723403.5913469.41833210164071368731833246.41nullnullnullnullnullnull1832429418920101640713.77falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q30app-20220209230750-0036Recommended1.5621777.0612322.93160708447753341001602333.65nullnullnullnullnullnull1606329874802443584233184.33falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q15app-20220209225447-0019Recommended1.5223166.1212074.87159706770100352411597034.25nullnullnullnullnullnull159642923648067701004.09falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q35app-20220209231035-0041Recommended1.5124552.1312648.861829810027023372011701037.15nullnullnullnullnullnull18293305974770551093215133.9falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q8app-20220209224648-0011Recommended1.5123372.712016.29156916693324353891569120.01nullnullnullnullnullnull156863133963066933244.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q69app-20220209233517-0076Recommended1.524534.6412431.35165897246714369661658927.75nullnullnullnullnullnull165832963952072467143.99falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q94app-20220209235349-0101Recommended1.524361.4412284.551742413168326366461635241.87nullnullnullnullnullnull174163048502809952123583744.01falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_sum
TPC-DS Like Bench q54app-20220209232140-0061Recommended1.523475.0611742.93155685555140352181556828.65nullnullnullnullnullnull155633021018055551404.07falseExecute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRownull
TPC-DS Like Bench q39aapp-20220209231256-0045Recommended1.4922102.2210863.77141364794226329661413624.49nullnullnullnullnullnull141312998677047942264.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q29app-20220209230713-0035Recommended1.4923597.9111588.081591210021701351861591244.09nullnullnullnullnullnull1590530579100100217013.68falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q47app-20220209231740-0054Recommended1.4823520.6311417.36152468996925349381516035.78nullnullnullnullnullnull1524131076875029989466264.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q59app-20220209232422-0066Recommended1.4824246.7811658.21160916749831359051609134.65nullnullnullnullnullnull160843068245067498313.63falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q6app-20220209224544-0009Recommended1.4622488.0110526.98137586335474330151375630.04nullnullnullnullnullnull13753294312686363346114.26falseSubquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q80app-20220209234532-0087Recommended1.4625298.1211841.871674212630126371401585640.02nullnullnullnullnullnull167353360633668346119617803.95falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q39bapp-20220209231330-0046Recommended1.4622094.0410341.95134573807675324361345730.24nullnullnullnullnullnull134512941727038076754.32falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q57app-20220209232314-0064Recommended1.4622995.9910722.0143518374423337181423731.73nullnullnullnullnullnull1434529487716628383081404.05falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q1app-20220209224147-0004Recommended1.4621599.3510007.64134177598550316071332137.09nullnullnullnullnullnull1341230120155411975444314.01falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q18app-20220209225644-0022Recommended1.4422216.889865.11134927586670320821349233.42nullnullnullnullnullnull134842962080075866703.72falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q45app-20220209231631-0052Recommended1.4423723.4510458.54144555768757341821415433.74nullnullnullnullnullnull14447295702212006856486893.83falseExecute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRownull
TPC-DS Like Bench q17app-20220209225607-0021Recommended1.4324334.6110564.38144207818278348991442037.4nullnullnullnullnullnull144123106844078182783.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q25app-20220209230506-0031Recommended1.4321671.789370.21127907060196310421279034.97nullnullnullnullnullnull127843060435070601963.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q49app-20220209231846-0056Recommended1.4222231.449476.55124668785195317081246626.92nullnullnullnullnullnull124483080539087851954.17falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q46app-20220209231707-0053Recommended1.4222047.859385.14123186163042314331231826.39nullnullnullnullnullnull123123017041061630424.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q10app-20220209224756-0013Recommended1.4224919.8710489.12155747745798354091443230.14nullnullnullnullnullnull15567323676856778071780183.66falseExecute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q68app-20220209233444-0075Recommended1.4121674.529006.47118215109423306811182120.54nullnullnullnullnullnull118143004334051094234.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q5app-20220209224509-0008Recommended1.4123548.429749.57137298967631332981372941.35nullnullnullnullnullnull137223186659089676313.45falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q34app-20220209231004-0040Recommended1.420675.698427.3108425053339291031084227.34nullnullnullnullnullnull108362994320050533394.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q82app-20220209234649-0089Recommended1.422206.538955.46122127344489311621221239.29nullnullnullnullnullnull121992973553073444893.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q85app-20220209234821-0092Recommended1.424121.119726.88134687684101338481346829.91nullnullnullnullnullnull134622949755076841013.6falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q28app-20220209230637-0034Recommended1.3924599.419839.581546414309580344391382333.04nullnullnullnullnullnull1545830084131518296127912843.47falseAdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRowmerge_avg;merge_count
TPC-DS Like Bench q58app-20220209232349-0065Recommended1.3922489.08770.99123225717106312601232234.17nullnullnullnullnullnull123133102820057171063.47falseExecute CreateViewCommand;Subquery;ColumnarToRownull
TPC-DS Like Bench q19app-20220209225718-0023Recommended1.3821689.158456.84113735749051301461137323.22nullnullnullnullnullnull113643161292057490513.9falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q61app-20220209232531-0068Recommended1.3823308.729017.27123574376440323261235736.63nullnullnullnullnullnull123493022176043764403.7falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q71app-20220209233627-0078Recommended1.3821967.678440.32113714987537304081137121.81nullnullnullnullnullnull113633052139049875373.88falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q22app-20220209225845-0026Recommended1.3822397.038535.96123811736064309331238150.01nullnullnullnullnullnull123762929875017360643.22falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q70app-20220209233555-0077Recommended1.3721798.798233.2107514816235300321075133.51nullnullnullnullnullnull107463034688048162354.26falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q83app-20220209234722-0090Recommended1.3621949.168010.83109565253931299601095626.62nullnullnullnullnullnull109492993826052539313.72falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q98app-20220209235636-0105Recommended1.3620487.867376.139674316450527864967421.36nullnullnullnullnullnull96692953354031645054.21falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q79app-20220209234502-0086Recommended1.3521073.777578.22103445584295286521034429.69nullnullnullnullnullnull103403007559055842953.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q73app-20220209233802-0080Recommended1.3520143.117154.889205308630127298920527.46nullnullnullnullnullnull92012929775030863014.49falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q91app-20220209235141-0098Recommended1.3422090.617648.38103513106198297391035123.11nullnullnullnullnullnull103472997584031061983.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q37app-20220209231143-0043Recommended1.3422130.67605.4103715754398297361037138.21nullnullnullnullnullnull103663003155057543983.75falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q44app-20220209231559-0051Recommended1.3422359.337652.66109567175937300121034729.11nullnullnullnullnullnull10950302996939871267772253.84falseAdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q9app-20220209224725-0012Recommended1.3321873.817315.189829806454329189982935.84nullnullnullnullnullnull98233021491080645433.91falseExecute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRownull
TPC-DS Like Bench q40app-20220209231405-0047Recommended1.3324561.78167.29121198004983327291127236.85nullnullnullnullnullnull12110314201355898974459943.63falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q2app-20220209224220-0005Recommended1.3221301.466890.538966472404628192896638.76nullnullnullnullnullnull89603025086047240464.32falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench ss_maxapp-20220209235735-0107Recommended1.3120784.376539.629176533136827324888340.82nullnullnullnullnullnull9171304912216990251614663.79falseExecute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRowmerge_count;merge_max
TPC-DS Like Bench q60app-20220209232500-0067Recommended1.3122250.376983.629811383467629234981119.92nullnullnullnullnullnull98062939560038346763.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q13app-20220209224945-0016Recommended1.3120407.716360.288816426596626768881634.5nullnullnullnullnullnull88082951094042659663.59falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q56app-20220209232242-0063Recommended1.322798.877044.129896372946629843989614.44nullnullnullnullnullnull98902971656037294663.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q76app-20220209234000-0083Recommended1.322630.646827.359835626483129458983533.9nullnullnullnullnullnull98303037202062648313.27falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q33app-20220209230935-0039Recommended1.321561.956491.049119303268028053911918.14nullnullnullnullnullnull91112983234030326803.47falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q88app-20220209235013-0095Recommended1.323989.567197.439998668703831187999843.92nullnullnullnullnullnull99873212440066870383.57falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q7app-20220209224619-0010Not Recommended1.2920663.56143.58936402216626807893635.88nullnullnullnullnullnull89292959904040221663.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q48app-20220209231816-0055Not Recommended1.2921310.476237.528514396964927548851433.42nullnullnullnullnullnull85072990347039696493.74falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q26app-20220209230539-0032Not Recommended1.2821556.186109.818887400244127666888736.79nullnullnullnullnullnull88763012952040024413.2falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q12app-20220209224918-0015Not Recommended1.2719624.365459.637584186558725084758423.82nullnullnullnullnullnull75773102250018655873.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q62app-20220209232605-0069Not Recommended1.2721448.225877.778574421882127326857436.47nullnullnullnullnullnull85653017055042188213.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q20app-20220209225749-0024Not Recommended1.2621250.955641.047836204097426892783622.51nullnullnullnullnullnull78293039094020409743.57falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q99app-20220209235705-0106Not Recommended1.2522355.325801.678463455827528157846333.1nullnullnullnullnullnull84552973149045582753.18falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q36app-20220209231114-0042Not Recommended1.2521356.735527.267756364275026884775630.08nullnullnullnullnullnull77522905924036427503.48falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q89app-20220209235046-0096Not Recommended1.2520969.235401.767869402974026371761524.99nullnullnullnullnullnull7858301214512976538999753.44falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q86app-20220209234857-0093Not Recommended1.2521140.775388.227493350544126529749329.09nullnullnullnullnullnull74893240380035054413.56falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q27app-20220209230608-0033Not Recommended1.2522114.895587.18150373710327702815029.62nullnullnullnullnullnull81433067371037371033.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q66app-20220209232841-0073Not Recommended1.2424291.915938.089771528738330230861235.68nullnullnullnullnullnull9765292206162668046607033.22falseExecute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRowDecimalType
TPC-DS Like Bench q53app-20220209232111-0060Not Recommended1.2322160.975233.027622387949627394736825.54nullnullnullnullnullnull7617290534712879537507013.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q84app-20220209234754-0091Not Recommended1.2321195.34968.697129381406026164712940.65nullnullnullnullnullnull71233029105038140603.3falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q63app-20220209232634-0070Not Recommended1.2321192.664957.337215349014726150698026.58nullnullnullnullnullnull7207297683811331833768293.45falseExecute CreateViewCommand;ReusedExchange;Filter;ColumnarToRowdecimal;DecimalType
TPC-DS Like Bench q43app-20220209231533-0050Not Recommended1.2319958.184641.816660325794024600666029.65nullnullnullnullnullnull66512961446032579403.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench ss_maxbapp-20220209235804-0108Not Recommended1.2319063.414414.585825379849123478582548.17nullnullnullnullnullnull58193155711037984914.13falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q3app-20220209224250-0006Not Recommended1.2220089.364522.636489289837324612648926.88nullnullnullnullnullnull64833094853028983733.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q21app-20220209225818-0025Not Recommended1.2220413.614531.386610107292624945661040.94nullnullnullnullnullnull66053079474010729263.18falseExecute CreateViewCommand;ReusedExchange;ColumnarToRownull
TPC-DS Like Bench q55app-20220209232217-0062Not Recommended1.2219494.184296.816165261278723791616524.78nullnullnullnullnullnull61582995446026127873.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q92app-20220209235212-0099Not Recommended1.2120741.454549.546384209560125291612325.07nullnullnullnullnullnull638029671298541920101823.89falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q90app-20220209235114-0097Not Recommended1.2120450.984350.016209260467624801620944.95nullnullnullnullnullnull62042976499026046763.34falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q32app-20220209230908-0038Not Recommended1.220973.264366.736107271296225340590925.21nullnullnullnullnullnull609830482548762326253393.83falseExecute CreateViewCommand;ReusedExchange;ColumnarToRow;FilterDECIMAL
TPC-DS Like Bench q42app-20220209231505-0049Not Recommended1.221414.784436.216365272675925851636523.15nullnullnullnullnullnull63583047836027267593.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q52app-20220209232045-0059Not Recommended1.1920523.34071.695842268309024595584225.46nullnullnullnullnullnull58273074975026830903.3falseExecute CreateViewCommand;ColumnarToRownull
TPC-DS Like Bench q41app-20220209231439-0048Not Recommended1.1920533.934071.06564916156424605564955.4nullnullnullnullnullnull5642297075701615643.58falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
TPC-DS Like Bench q96app-20220209235526-0103Not Recommended1.1820189.673776.325324230442823966532444.32nullnullnullnullnullnull53172947875023044283.44falseExecute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRownull
DART-ALGOapplication_1665146417445_0002Not Recommended1.04375798.1216253.8744531759001723920522367514.55nullnullnullnullnullnull165795801759035546441403537313.19falseScan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimitnull
DART-ALGOapplication_1665146417445_0003Not Recommended1.0690682.00.00069068200.0nullnullnullnullnullnull00001.0falsenullnull
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Stages Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"6756159b-30ca-407a-ab6b-9c29ced01ea6","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["stages_output=pd.read_csv(outputpath_string + 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App IDStage IDAverage Speedup FactorStage Task DurationUnsupported Task DurationStage Estimated
app-20220209224509-0008312.9511840false
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app-20220209224509-0008353.3723215230false
app-20220209224509-0008413.91726480false
app-20220209224509-0008395.7245868240false
app-20220209224509-0008383.366943370false
app-20220209224509-0008404.266568350false
app-20220209224509-0008373.365241900false
app-20220209224509-0008322.96410false
app-20220209224509-0008362.7370650false
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Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Execs Output"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f","inputWidgets":{},"title":""}}},{"cell_type":"code","source":["execs_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_execs.csv\")\ndisplay(execs_output)"],"metadata":{"application/vnd.databricks.v1+cell":{"showTitle":false,"cellMetadata":{},"nuid":"998b0c51-0cb6-408e-a01a-d1f5b1a61e1f","inputWidgets":{},"title":""}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,30,false,"31",null,null,true],["app-20220209224509-0008",24,"ColumnarToRow",null,1.0,0,89,false,"39",null,null,true],["app-20220209224509-0008",24,"WholeStageCodegen (15)","WholeStageCodegen 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App IDSQL IDExec NameExpression NameTask Speedup FactorExec DurationSQL Node IdExec Is SupportedExec StagesExec ChildrenExec Children Node IdsExec Should Remove
app-20220209224509-000824ColumnarToRownull1.0030false31nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0089false39nullnulltrue
app-20220209224509-000824WholeStageCodegen (15)WholeStageCodegen (15)8.0423405095true39Sort96false
app-20220209224509-000824Exchangenull4.258497true36:39nullnullfalse
app-20220209224509-00080Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (8)WholeStageCodegen (8)2.92305965true37Project:Filter:ColumnarToRow66:67:68false
app-20220209224509-000824Unionnull3.0085truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (22)WholeStageCodegen (22)4.51883976true40HashAggregate77false
app-20220209224509-000824Projectnull3.0060truenullnullnullfalse
app-20220209224509-000824Exchangenull4.280029104true35:39nullnullfalse
app-20220209224509-000824Projectnull3.0040truenullnullnullfalse
app-20220209224509-000824Projectnull3.0054truenullnullnullfalse
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app-20220209224509-000824Scan parquet null3.0536114true34nullnullfalse
app-20220209224509-000824WholeStageCodegen (6)WholeStageCodegen (6)4.51879889true40HashAggregate10false
app-20220209224509-000824Projectnull3.0056truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173670truenullnullnullfalse
app-20220209224509-000814Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.0033truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5077true40nullnullfalse
app-20220209224509-000824Scan parquet null3.0750661109true35nullnullfalse
app-20220209224509-000824HashAggregatenull4.506true40nullnullfalse
app-20220209224509-000824Projectnull3.0087truenullnullnullfalse
app-20220209224509-000810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0035false38nullnulltrue
app-20220209224509-000824BroadcastExchangenull3.0171238truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (5)WholeStageCodegen (5)4.1331502612true38HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin13:14:15:16:17false
app-20220209224509-000824ColumnarToRownull1.00113false34nullnulltrue
app-20220209224509-000824ColumnarToRownull1.0042false31nullnulltrue
app-20220209224509-000822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976027true31Project:Filter:ColumnarToRow28:29:30false
app-20220209224509-00081Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0156771truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0062false37nullnulltrue
app-20220209224509-000824WholeStageCodegen (13)WholeStageCodegen (13)2.91705586true39Project:Filter:ColumnarToRow87:88:89false
app-20220209224509-000824Scan parquet null3.028348true32nullnullfalse
app-20220209224509-000824Sortnull8.00103true39nullnullfalse
app-20220209224509-000823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Projectnull3.00106truenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0022false38nullnulltrue
app-20220209224509-000824Unionnull3.008truenullnullnullfalse
app-20220209224509-000812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5010true40nullnullfalse
app-20220209224509-000824Filternull2.8073true33nullnullfalse
app-20220209224509-000824BroadcastExchangenull3.01537110truenullnullnullfalse
app-20220209224509-000824SortMergeJoinnull22.7094true39nullnullfalse
app-20220209224509-000824Projectnull3.0014truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.01736101truenullnullnullfalse
app-20220209224509-000824BroadcastExchangenull3.0112844truenullnullnullfalse
app-20220209224509-000816Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8061true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (16)WholeStageCodegen (16)2.91506623105true35Project:Filter:ColumnarToRow106:107:108false
app-20220209224509-000824Filternull2.8034true38nullnullfalse
app-20220209224509-000824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209224509-00085Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (20)WholeStageCodegen (20)2.8540111true34Filter:ColumnarToRow112:113false
app-20220209224509-000824SubqueryBroadcastnull3.0173637truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (14)WholeStageCodegen (14)1.0409098false36ColumnarToRow99false
app-20220209224509-00089Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Scan parquet null3.01245469true37nullnullfalse
app-20220209224509-00086Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0068false37nullnulltrue
app-20220209224509-000824Filternull2.8021true38nullnullfalse
app-20220209224509-000824TakeOrderedAndProjectnull3.001true41:42nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09015true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09057true37nullnullfalse
app-20220209224509-000824Unionnull3.0018truenullnullnullfalse
app-20220209224509-00082Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (7)WholeStageCodegen (7)2.924709959true37Project:Filter:ColumnarToRow60:61:62false
app-20220209224509-00087Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000819Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00084Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (21)WholeStageCodegen (21)4.13323042579true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin80:81:82:83:84false
app-20220209224509-000824Exchangenull4.276878true39:40nullnullfalse
app-20220209224509-000824Scan parquet null3.017303523true38nullnullfalse
app-20220209224509-000815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0047false32nullnulltrue
app-20220209224509-000824BroadcastHashJoinnull5.09082true39nullnullfalse
app-20220209224509-000824Projectnull3.0066truenullnullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173691truenullnullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09084true39nullnullfalse
app-20220209224509-000824Scan parquet null3.01956236true38nullnullfalse
app-20220209224509-000824Scan parquet null3.051575true33nullnullfalse
app-20220209224509-000824Exchangenull4.22064true40:41nullnullfalse
app-20220209224509-000824Projectnull3.0020truenullnullnullfalse
app-20220209224509-000824HashAggregatenull4.5013true38nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09055true37nullnullfalse
app-20220209224509-000824WholeStageCodegen (24)WholeStageCodegen (24)4.5308342true41HashAggregate3false
app-20220209224509-000824Unionnull3.0058truenullnullnullfalse
app-20220209224509-000824Filternull2.8029true31nullnullfalse
app-20220209224509-000824WholeStageCodegen (12)WholeStageCodegen (12)4.53468649true40HashAggregate50false
app-20220209224509-000824HashAggregatenull4.5050true40nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173664truenullnullnullfalse
app-20220209224509-000824Exchangenull4.2442551true37:40nullnullfalse
app-20220209224509-000813Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824Filternull2.8088true39nullnullfalse
app-20220209224509-000824Filternull2.8046true32nullnullfalse
app-20220209224509-000824Scan parquet null3.074331true31nullnullfalse
app-20220209224509-000824Scan parquet null3.02399100true36nullnullfalse
app-20220209224509-000824WholeStageCodegen (4)WholeStageCodegen (4)2.829145true32Filter:ColumnarToRow46:47false
app-20220209224509-000824Filternull2.8041true31nullnullfalse
app-20220209224509-000824BroadcastHashJoinnull5.09017true38nullnullfalse
app-20220209224509-000824Projectnull3.0093truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (1)WholeStageCodegen (1)2.932567319true38Project:Filter:ColumnarToRow20:21:22false
app-20220209224509-000824Expandnull3.007true40nullnullfalse
app-20220209224509-000824Exchangenull4.2617911true38:40nullnullfalse
app-20220209224509-000824Projectnull3.0028truenullnullnullfalse
app-20220209224509-000824Projectnull3.0016truenullnullnullfalse
app-20220209224509-000824Filternull2.8067true37nullnullfalse
app-20220209224509-000824ColumnarToRownull1.00108false35nullnulltrue
app-20220209224509-000824Filternull2.80107true35nullnullfalse
app-20220209224509-000824SubqueryBroadcastnull3.0173624truenullnullnullfalse
app-20220209224509-000824Filternull2.80112true34nullnullfalse
app-20220209224509-000824Projectnull3.0083truenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (11)WholeStageCodegen (11)4.1323510952true37HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin53:54:55:56:57false
app-20220209224509-000824Scan parquet null3.013214963true37nullnullfalse
app-20220209224509-000820Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-00083Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000818Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (3)WholeStageCodegen (3)2.976039true31Project:Filter:ColumnarToRow40:41:42false
app-20220209224509-000824ColumnarToRownull1.0099false36nullnulltrue
app-20220209224509-00088Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (10)WholeStageCodegen (10)2.853872true33Filter:ColumnarToRow73:74false
app-20220209224509-000824WholeStageCodegen (2)WholeStageCodegen (2)2.93627532true38Project:Filter:ColumnarToRow33:34:35false
app-20220209224509-000824HashAggregatenull4.5053true37nullnullfalse
app-20220209224509-000824HashAggregatenull4.503true41nullnullfalse
app-20220209224509-000821Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (23)WholeStageCodegen (23)3.752011495true40HashAggregate:Expand6:7false
app-20220209224509-000824BroadcastExchangenull3.0171226truenullnullnullfalse
app-20220209224509-000811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209224509-000824WholeStageCodegen (18)WholeStageCodegen (18)12.85337652992true39Project:SortMergeJoin93:94false
app-20220209224509-000824WholeStageCodegen (17)WholeStageCodegen (17)8.00102true39Sort103false
app-20220209224509-000824HashAggregatenull4.5080true39nullnullfalse
app-20220209224509-000824ReusedExchangenull1.0025falsenullnullnullfalse
app-20220209224509-000824ColumnarToRownull1.0074false33nullnulltrue
app-20220209224509-000824Scan parquet null3.0864890true39nullnullfalse
app-20220209224509-000824Sortnull8.0096true39nullnullfalse
app-20220209224509-000824Scan parquet null3.074343true31nullnullfalse
app-20220209235114-009724Projectnull3.0035truenullnullnullfalse
app-20220209235114-009724Filternull2.8052true36nullnullfalse
app-20220209235114-009724Projectnull3.0049truenullnullnullfalse
app-20220209235114-009724Projectnull3.0023truenullnullnullfalse
app-20220209235114-009717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09016true35nullnullfalse
app-20220209235114-009724Projectnull3.0013truenullnullnullfalse
app-20220209235114-00979Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.091360520true35nullnullfalse
app-20220209235114-009724Exchangenull4.296942true36:38nullnullfalse
app-20220209235114-009724Scan parquet null3.051138true33nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09046true36nullnullfalse
app-20220209235114-009724Projectnull3.0015truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (6)WholeStageCodegen (6)3.8441805343true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow44:45:46:47:48:49:50:51:52:53false
app-20220209235114-009724HashAggregatenull4.507true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0140155truenullnullnullfalse
app-20220209235114-009724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235114-009721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0017truenullnullnullfalse
app-20220209235114-009724Projectnull3.0057truenullnullnullfalse
app-20220209235114-009714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0047truenullnullnullfalse
app-20220209235114-00973Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (8)WholeStageCodegen (8)4.51726true40HashAggregate7false
app-20220209235114-00978Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724TakeOrderedAndProjectnull3.002true40:41nullnullfalse
app-20220209235114-009724Filternull2.8036true33nullnullfalse
app-20220209235114-009724HashAggregatenull4.5044true36nullnullfalse
app-20220209235114-009724Scan parquet null3.050860true34nullnullfalse
app-20220209235114-009724WholeStageCodegen (7)WholeStageCodegen (7)4.54240true38HashAggregate41false
app-20220209235114-009724Projectnull3.004truenullnullnullfalse
app-20220209235114-009713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (5)WholeStageCodegen (5)3.8414436929true35HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow10:11:12:13:14:15:16:17:18:19false
app-20220209235114-009723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0045truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (1)WholeStageCodegen (1)2.951922true31Project:Filter:ColumnarToRow23:24:25false
app-20220209235114-009724Projectnull3.0011truenullnullnullfalse
app-20220209235114-009724Filternull2.8024true31nullnullfalse
app-20220209235114-009724AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0031false32nullnulltrue
app-20220209235114-009724BroadcastHashJoinnull5.09014true35nullnullfalse
app-20220209235114-009724WholeStageCodegen (3)WholeStageCodegen (3)2.951534true33Project:Filter:ColumnarToRow35:36:37false
app-20220209235114-009724HashAggregatenull4.5041true38nullnullfalse
app-20220209235114-00974Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Projectnull3.0029truenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (9)WholeStageCodegen (9)3.0963true40Project4false
app-20220209235114-00977Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8058true34nullnullfalse
app-20220209235114-009715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00971Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09050true36nullnullfalse
app-20220209235114-009719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00975Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09048true36nullnullfalse
app-20220209235114-009724BroadcastNestedLoopJoinnull3.005true40nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0133133truenullnullnullfalse
app-20220209235114-009724Exchangenull4.225398true35:40nullnullfalse
app-20220209235114-009724BroadcastHashJoinnull5.09012true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0019false35nullnulltrue
app-20220209235114-009724Scan parquet null3.029832true32nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0149021truenullnullnullfalse
app-20220209235114-009711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-00970Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724BroadcastExchangenull3.0117527truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0037false33nullnulltrue
app-20220209235114-009724Projectnull3.0051truenullnullnullfalse
app-20220209235114-009724ColumnarToRownull1.0053false36nullnulltrue
app-20220209235114-009724Scan parquet null3.051226true31nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0059false34nullnulltrue
app-20220209235114-009724WholeStageCodegen (4)WholeStageCodegen (4)2.953256true34Project:Filter:ColumnarToRow57:58:59false
app-20220209235114-009718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Filternull2.8030true32nullnullfalse
app-20220209235114-00972Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724Scan parquet null3.018709354true36nullnullfalse
app-20220209235114-009724BroadcastExchangenull3.031539truenullnullnullfalse
app-20220209235114-00976Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235114-009724WholeStageCodegen (2)WholeStageCodegen (2)2.931728true32Project:Filter:ColumnarToRow29:30:31false
app-20220209235114-009724Filternull2.8018true35nullnullfalse
app-20220209235114-009724ColumnarToRownull1.0025false31nullnulltrue
app-20220209235114-009724HashAggregatenull4.5010true35nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170449truenullnullnullfalse
app-20220209230506-003124Exchangenull4.294true39:40nullnullfalse
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963570true31Project:Filter:ColumnarToRow71:72:73false
app-20220209230506-003124WholeStageCodegen (13)WholeStageCodegen (13)2.8451381true32Filter:ColumnarToRow82:83false
app-20220209230506-003111Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.009truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0170469truenullnullnullfalse
app-20220209230506-003124Projectnull3.0023truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (8)WholeStageCodegen (8)8.03521355true39Sort56false
app-20220209230506-003124WholeStageCodegen (7)WholeStageCodegen (7)2.888475758true37Filter:ColumnarToRow59:60false
app-20220209230506-003118Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2611942true36:38nullnullfalse
app-20220209230506-003113Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (12)WholeStageCodegen (12)2.881776true33Filter:ColumnarToRow77:78false
app-20220209230506-003124Filternull2.8052true31nullnullfalse
app-20220209230506-003124WholeStageCodegen (15)WholeStageCodegen (15)4.5334762true40HashAggregate3false
app-20220209230506-003124WholeStageCodegen (3)WholeStageCodegen (3)2.814564643true36Filter:ColumnarToRow44:45false
app-20220209230506-003124HashAggregatenull4.503true40nullnullfalse
app-20220209230506-003124Filternull2.8077true33nullnullfalse
app-20220209230506-003124Sortnull8.0020true39nullnullfalse
app-20220209230506-003124Projectnull3.0036truenullnullnullfalse
app-20220209230506-003124Sortnull8.0026true38nullnullfalse
app-20220209230506-003122Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0053false31nullnulltrue
app-20220209230506-003124Projectnull3.0015truenullnullnullfalse
app-20220209230506-003120Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.05912746true36nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7018true39nullnullfalse
app-20220209230506-003124Filternull2.8029true35nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0073false31nullnulltrue
app-20220209230506-003112Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0083false32nullnulltrue
app-20220209230506-00319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (6)WholeStageCodegen (6)8.0167505819true39Sort20false
app-20220209230506-003124BroadcastHashJoinnull5.09016true39nullnullfalse
app-20220209230506-00316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003117Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-00318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003121Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230506-003124Projectnull3.0051truenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.0908true39nullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09010true39nullnullfalse
app-20220209230506-003115Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8037true34nullnullfalse
app-20220209230506-003124Scan parquet null3.061074true31nullnullfalse
app-20220209230506-003116Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.0426884true32nullnullfalse
app-20220209230506-003110Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003119Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Scan parquet null3.061054true31nullnullfalse
app-20220209230506-003124Scan parquet null3.055986561true37nullnullfalse
app-20220209230506-003124Exchangenull4.2769727true35:38nullnullfalse
app-20220209230506-003124Projectnull3.0011truenullnullnullfalse
app-20220209230506-003124Sortnull8.0056true39nullnullfalse
app-20220209230506-00312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124BroadcastHashJoinnull5.09014true39nullnullfalse
app-20220209230506-00311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963764true34Project:Filter:ColumnarToRow65:66:67false
app-20220209230506-003124ColumnarToRownull1.0038false34nullnulltrue
app-20220209230506-003124ColumnarToRownull1.0030false35nullnulltrue
app-20220209230506-003124Exchangenull4.2496057true37:39nullnullfalse
app-20220209230506-003124SortMergeJoinnull22.7024true38nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0246280truenullnullnullfalse
app-20220209230506-003124Filternull2.8059true37nullnullfalse
app-20220209230506-003124WholeStageCodegen (4)WholeStageCodegen (4)8.096863440true38Sort41false
app-20220209230506-003124BroadcastHashJoinnull5.09012true39nullnullfalse
app-20220209230506-00310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Filternull2.8044true36nullnullfalse
app-20220209230506-00317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124HashAggregatenull4.506true39nullnullfalse
app-20220209230506-00314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0017truenullnullnullfalse
app-20220209230506-003124ColumnarToRownull1.0067false34nullnulltrue
app-20220209230506-003124Scan parquet null3.061868true34nullnullfalse
app-20220209230506-003124WholeStageCodegen (5)WholeStageCodegen (5)12.85158104722true38Project:SortMergeJoin23:24false
app-20220209230506-003124Scan parquet null3.02823131true35nullnullfalse
app-20220209230506-003124Filternull2.8072true31nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0045false36nullnulltrue
app-20220209230506-00313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Projectnull3.0071truenullnullnullfalse
app-20220209230506-003124Projectnull3.007truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (14)WholeStageCodegen (14)5.4412225455true39HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14:15:16:17:18false
app-20220209230506-003124WholeStageCodegen (10)WholeStageCodegen (10)2.963550true31Project:Filter:ColumnarToRow51:52:53false
app-20220209230506-003124Scan parquet null3.061839true34nullnullfalse
app-20220209230506-003124Filternull2.8082true32nullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0169675truenullnullnullfalse
app-20220209230506-003124Scan parquet null3.080779true33nullnullfalse
app-20220209230506-003124SubqueryBroadcastnull3.0171047truenullnullnullfalse
app-20220209230506-003124Projectnull3.0013truenullnullnullfalse
app-20220209230506-003124BroadcastExchangenull3.0166134truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (2)WholeStageCodegen (2)8.0104414825true38Sort26false
app-20220209230506-003124BroadcastExchangenull3.0166163truenullnullnullfalse
app-20220209230506-003123Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (9)WholeStageCodegen (9)2.963735true34Project:Filter:ColumnarToRow36:37:38false
app-20220209230506-003124SubqueryBroadcastnull3.0171062truenullnullnullfalse
app-20220209230506-003124Projectnull3.0065truenullnullnullfalse
app-20220209230506-003124TakeOrderedAndProjectnull3.001true40:41nullnullfalse
app-20220209230506-003124Filternull2.8066true34nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0060false37nullnulltrue
app-20220209230506-003124ReusedExchangenull1.0033falsenullnullnullfalse
app-20220209230506-003124Exchangenull4.2997321true38:39nullnullfalse
app-20220209230506-003124ColumnarToRownull1.0078false33nullnulltrue
app-20220209230506-003124SubqueryBroadcastnull3.0168032truenullnullnullfalse
app-20220209230506-003124WholeStageCodegen (1)WholeStageCodegen (1)2.86176328true35Filter:ColumnarToRow29:30false
app-20220209230506-003114Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124Sortnull8.0041true38nullnullfalse
app-20220209230506-00315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230506-003124ReusedExchangenull1.0048falsenullnullnullfalse
app-20220209232634-007024Windownull3.005truenullnullnullfalse
app-20220209232634-007024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5010true35nullnullfalse
app-20220209232634-00705Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0022truenullnullnullfalse
app-20220209232634-00707Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00702Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Scan parquet null3.029742true33nullnullfalse
app-20220209232634-007024Scan parquet null3.049647true32nullnullfalse
app-20220209232634-007014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00701Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00703Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (5)WholeStageCodegen (5)4.51701719true35HashAggregate10false
app-20220209232634-007024Filternull2.8026true34nullnullfalse
app-20220209232634-007024Sortnull8.007true36nullnullfalse
app-20220209232634-007024ColumnarToRownull1.0035false33nullnulltrue
app-20220209232634-007020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0039truenullnullnullfalse
app-20220209232634-007024Projectnull3.0033truenullnullnullfalse
app-20220209232634-007016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0046false32nullnulltrue
app-20220209232634-007024WholeStageCodegen (4)WholeStageCodegen (4)3.95123396612true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow13:14:15:16:17:18:19:26:27false
app-20220209232634-007024Exchangenull4.28426111true34:35nullnullfalse
app-20220209232634-00708Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (1)WholeStageCodegen (1)2.9304421true31Project:Filter:ColumnarToRow22:23:24false
app-20220209232634-007024BroadcastExchangenull3.0146043truenullnullnullfalse
app-20220209232634-007024SubqueryBroadcastnull3.0112129truenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (3)WholeStageCodegen (3)2.850244true32Filter:ColumnarToRow45:46false
app-20220209232634-007024WholeStageCodegen (6)WholeStageCodegen (6)8.01345746true36Sort7false
app-20220209232634-007010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0111031truenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09017true34nullnullfalse
app-20220209232634-007012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0041false33nullnulltrue
app-20220209232634-007024TakeOrderedAndProjectnull3.001true36:37nullnullfalse
app-20220209232634-007024Filternull2.8040true33nullnullfalse
app-20220209232634-00704Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Exchangenull4.2328true35:36nullnullfalse
app-20220209232634-007024Projectnull3.003truenullnullnullfalse
app-20220209232634-007021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00709Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931638true33Project:Filter:ColumnarToRow39:40:41false
app-20220209232634-007024ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09015true34nullnullfalse
app-20220209232634-007024BroadcastHashJoinnull5.09019true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (2)WholeStageCodegen (2)2.931632true33Project:Filter:ColumnarToRow33:34:35false
app-20220209232634-007024Filternull2.8023true31nullnullfalse
app-20220209232634-007022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0027false34nullnulltrue
app-20220209232634-007024Scan parquet null3.029736true33nullnullfalse
app-20220209232634-007024Filternull2.8045true32nullnullfalse
app-20220209232634-007024Projectnull3.0016truenullnullnullfalse
app-20220209232634-007017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024BroadcastExchangenull3.0172620truenullnullnullfalse
app-20220209232634-007018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024ColumnarToRownull1.0024false31nullnulltrue
app-20220209232634-007024Projectnull3.0014truenullnullnullfalse
app-20220209232634-00706Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024Projectnull3.0018truenullnullnullfalse
app-20220209232634-007024Filternull1.004false36nullnullfalse
app-20220209232634-007024Scan parquet null3.065125328true34nullnullfalse
app-20220209232634-007011Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-00700Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209232634-007024HashAggregatenull4.5013true34nullnullfalse
app-20220209232634-007024WholeStageCodegen (7)WholeStageCodegen (7)2.056212true36Project:Filter3:4false
app-20220209232634-007024BroadcastExchangenull3.0111037truenullnullnullfalse
app-20220209232634-007024Scan parquet null3.0291325true31nullnullfalse
app-20220209232634-007024Filternull2.8034true33nullnullfalse
app-20220209232634-007023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00262Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (3)WholeStageCodegen (3)2.846537true33Filter:ColumnarToRow38:39false
app-20220209225845-002624SubqueryBroadcastnull3.0160817truenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09013true34nullnullfalse
app-20220209225845-002617Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Exchangenull4.242414true34:35nullnullfalse
app-20220209225845-002624ColumnarToRownull1.0039false33nullnulltrue
app-20220209225845-002614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068724true31nullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.09011true34nullnullfalse
app-20220209225845-002613Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002622Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.07024716true34nullnullfalse
app-20220209225845-002624Projectnull3.008truenullnullnullfalse
app-20220209225845-00268Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002610Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (4)WholeStageCodegen (4)3.844430465true34HashAggregate:Expand:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:11:12:13:14:15false
app-20220209225845-002624Projectnull3.0010truenullnullnullfalse
app-20220209225845-002624HashAggregatenull4.506true34nullnullfalse
app-20220209225845-002624Filternull2.8028true31nullnullfalse
app-20220209225845-00266Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Projectnull3.0012truenullnullnullfalse
app-20220209225845-00263Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002616Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Filternull2.8038true33nullnullfalse
app-20220209225845-002624Projectnull3.0021truenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (2)WholeStageCodegen (2)2.8254432true32Filter:ColumnarToRow33:34false
app-20220209225845-002624Filternull2.8014true34nullnullfalse
app-20220209225845-00267Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00265Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00269Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastHashJoinnull5.0909true34nullnullfalse
app-20220209225845-002623Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0029false31nullnulltrue
app-20220209225845-002619Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Scan parquet null3.068730true31nullnullfalse
app-20220209225845-002624Scan parquet null3.0232935true32nullnullfalse
app-20220209225845-002624ReusedExchangenull1.0018falsenullnullnullfalse
app-20220209225845-002618Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624Expandnull3.007true34nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158719truenullnullnullfalse
app-20220209225845-002620Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0132636truenullnullnullfalse
app-20220209225845-002624Filternull2.8022true31nullnullfalse
app-20220209225845-002624Projectnull3.0027truenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0023false31nullnulltrue
app-20220209225845-002624Filternull2.8033true32nullnullfalse
app-20220209225845-002624BroadcastExchangenull3.0158725truenullnullnullfalse
app-20220209225845-002624TakeOrderedAndProjectnull3.001true35:36nullnullfalse
app-20220209225845-002624HashAggregatenull4.503true35nullnullfalse
app-20220209225845-002621Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624ColumnarToRownull1.0034false32nullnulltrue
app-20220209225845-00261Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002611Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (5)WholeStageCodegen (5)4.54723102true35HashAggregate3false
app-20220209225845-002624BroadcastExchangenull3.0190531truenullnullnullfalse
app-20220209225845-002615Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002612Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-00260Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970726true31Project:Filter:ColumnarToRow27:28:29false
app-20220209225845-002624ColumnarToRownull1.0015false34nullnulltrue
app-20220209225845-002624WholeStageCodegen (1)WholeStageCodegen (1)2.970720true31Project:Filter:ColumnarToRow21:22:23false
app-20220209225845-002624Scan parquet null3.046240true33nullnullfalse
app-20220209225845-002624Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209225845-00264Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01031Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010314Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010313Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (5)WholeStageCodegen (5)5.172152true36Project:Sort:HashAggregate3:4:5false
app-20220209235526-010319Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09010true34nullnullfalse
app-20220209235526-010310Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01039Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01030Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-01033Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0011truenullnullnullfalse
app-20220209235526-01036Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.009truenullnullnullfalse
app-20220209235526-01037Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09012true34nullnullfalse
app-20220209235526-010324ColumnarToRownull1.0035false31nullnulltrue
app-20220209235526-010324BroadcastExchangenull3.0130719truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0023false33nullnulltrue
app-20220209235526-01034Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0017false34nullnulltrue
app-20220209235526-010322Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010312Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.0105143618true34nullnullfalse
app-20220209235526-010315Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0027truenullnullnullfalse
app-20220209235526-010324HashAggregatenull4.508true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0147031truenullnullnullfalse
app-20220209235526-010316Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.060536true31nullnullfalse
app-20220209235526-010324Filternull2.8016true34nullnullfalse
app-20220209235526-010324BroadcastExchangenull3.0114625truenullnullnullfalse
app-20220209235526-01032Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Scan parquet null3.028330true32nullnullfalse
app-20220209235526-010321Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0021truenullnullnullfalse
app-20220209235526-010324Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209235526-010324ColumnarToRownull1.0029false32nullnulltrue
app-20220209235526-010318Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Projectnull3.0015truenullnullnullfalse
app-20220209235526-010324Filternull2.8034true31nullnullfalse
app-20220209235526-010324Filternull2.8028true32nullnullfalse
app-20220209235526-010311Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010323Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324AdaptiveSparkPlannull1.001falsenullnullnullfalse
app-20220209235526-010324Sortnull8.004true36nullnullfalse
app-20220209235526-010317Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010320Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324BroadcastHashJoinnull5.09014true34nullnullfalse
app-20220209235526-010324Scan parquet null3.049224true33nullnullfalse
app-20220209235526-010324WholeStageCodegen (1)WholeStageCodegen (1)2.949820true33Project:Filter:ColumnarToRow21:22:23false
app-20220209235526-010324WholeStageCodegen (4)WholeStageCodegen (4)3.8415773287true34HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow8:9:10:11:12:13:14:15:16:17false
app-20220209235526-010324Projectnull3.0013truenullnullnullfalse
app-20220209235526-010324Projectnull3.0033truenullnullnullfalse
app-20220209235526-010324WholeStageCodegen (2)WholeStageCodegen (2)2.930326true32Project:Filter:ColumnarToRow27:28:29false
app-20220209235526-01035Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Filternull2.8022true33nullnullfalse
app-20220209235526-010324HashAggregatenull4.505true36nullnullfalse
app-20220209235526-010324WholeStageCodegen (3)WholeStageCodegen (3)2.961032true31Project:Filter:ColumnarToRow33:34:35false
app-20220209235526-01038Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209235526-010324Exchangenull4.222986true34:36nullnullfalse
app-20220209235526-010324Projectnull3.003truenullnullnullfalse
app-20220209231919-005716Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00579Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231919-005724Exchangenull4.251124true34:36nullnullfalse
app-20220209231919-005714Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.029836true32nullnullfalse
app-20220209231919-005724Projectnull3.0033truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (4)WholeStageCodegen (4)8.01353893522true36Sort23false
app-20220209231919-00570Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8019true35nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931648true32Project:Filter:ColumnarToRow49:50:51false
app-20220209231919-00574Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8044true31nullnullfalse
app-20220209231919-005724Scan parquet null3.028546true31nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0045false31nullnulltrue
app-20220209231919-005724BroadcastExchangenull3.0120831truenullnullnullfalse
app-20220209231919-00573Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724SortMergeJoinnull22.7014true36nullnullfalse
app-20220209231919-005724Projectnull3.0013truenullnullnullfalse
app-20220209231919-005717Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005715Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8034true32nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0040false33nullnulltrue
app-20220209231919-005724Exchangenull4.214647617true35:36nullnullfalse
app-20220209231919-005724ColumnarToRownull1.0027false34nullnulltrue
app-20220209231919-005724Scan parquet null3.029852true32nullnullfalse
app-20220209231919-005724SubqueryBroadcastnull3.0123429truenullnullnullfalse
app-20220209231919-00571Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005712Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (8)WholeStageCodegen (8)6.0675557345true36HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin6:7:8:9:10:11:12:13:14false
app-20220209231919-005721Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Projectnull3.009truenullnullnullfalse
app-20220209231919-005724Filternull2.8026true34nullnullfalse
app-20220209231919-005713Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (3)WholeStageCodegen (3)2.87635225true34Filter:ColumnarToRow26:27false
app-20220209231919-00577Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724TakeOrderedAndProjectnull3.001true37:38nullnullfalse
app-20220209231919-005724Filternull2.8039true33nullnullfalse
app-20220209231919-005724Projectnull3.0011truenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0035false32nullnulltrue
app-20220209231919-005724Scan parquet null3.028941true33nullnullfalse
app-20220209231919-005724Exchangenull4.214924true36:37nullnullfalse
app-20220209231919-005718Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.503true37nullnullfalse
app-20220209231919-00575Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (6)WholeStageCodegen (6)2.831343true31Filter:ColumnarToRow44:45false
app-20220209231919-005724WholeStageCodegen (2)WholeStageCodegen (2)8.02180315true36Sort16false
app-20220209231919-005711Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (5)WholeStageCodegen (5)2.830238true33Filter:ColumnarToRow39:40false
app-20220209231919-005724ColumnarToRownull1.0020false35nullnulltrue
app-20220209231919-005724Sortnull8.0016true36nullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09010true36nullnullfalse
app-20220209231919-005723Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Scan parquet null3.04765328true34nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0120847truenullnullnullfalse
app-20220209231919-005724HashAggregatenull4.506true36nullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0121437truenullnullnullfalse
app-20220209231919-005724Scan parquet null3.0147268121true35nullnullfalse
app-20220209231919-005724Sortnull8.0023true36nullnullfalse
app-20220209231919-005724ReusedExchangenull1.0030falsenullnullnullfalse
app-20220209231919-005724BroadcastHashJoinnull5.09012true36nullnullfalse
app-20220209231919-005724WholeStageCodegen (7)WholeStageCodegen (7)2.931632true32Project:Filter:ColumnarToRow33:34:35false
app-20220209231919-00576Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005710Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724ColumnarToRownull1.0051false32nullnulltrue
app-20220209231919-005724BroadcastHashJoinnull5.0908true36nullnullfalse
app-20220209231919-005724Projectnull3.0049truenullnullnullfalse
app-20220209231919-005722Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-00572Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724BroadcastExchangenull3.0125842truenullnullnullfalse
app-20220209231919-005724Projectnull3.007truenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (9)WholeStageCodegen (9)4.5841222true37HashAggregate3false
app-20220209231919-00578Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005719Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724Filternull2.8050true32nullnullfalse
app-20220209231919-005720Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231919-005724WholeStageCodegen (1)WholeStageCodegen (1)2.8441400118true35Filter:ColumnarToRow19:20false
app-20220209231533-00509Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8014true32nullnullfalse
app-20220209231533-005024WholeStageCodegen (4)WholeStageCodegen (4)4.5804502true34HashAggregate3false
app-20220209231533-005024BroadcastHashJoinnull5.09010true33nullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0143211truenullnullnullfalse
app-20220209231533-005024SubqueryBroadcastnull3.0144220truenullnullnullfalse
app-20220209231533-005018Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024BroadcastExchangenull3.0146121truenullnullnullfalse
app-20220209231533-005024Projectnull3.0023truenullnullnullfalse
app-20220209231533-00507Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005023Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8017true33nullnullfalse
app-20220209231533-005014Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Filternull2.8024true31nullnullfalse
app-20220209231533-005024HashAggregatenull4.506true33nullnullfalse
app-20220209231533-00502Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0025false31nullnulltrue
app-20220209231533-00506Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.054616true32nullnullfalse
app-20220209231533-005010Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.072029019true33nullnullfalse
app-20220209231533-005024WholeStageCodegen (2)WholeStageCodegen (2)2.966122true31Project:Filter:ColumnarToRow23:24:25false
app-20220209231533-005017Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024HashAggregatenull4.503true34nullnullfalse
app-20220209231533-005024TakeOrderedAndProjectnull3.001true34:35nullnullfalse
app-20220209231533-005019Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0018false33nullnulltrue
app-20220209231533-005024BroadcastHashJoinnull5.0908true33nullnullfalse
app-20220209231533-005013Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005012Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Projectnull3.0013truenullnullnullfalse
app-20220209231533-005021Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024ColumnarToRownull1.0015false32nullnulltrue
app-20220209231533-00508Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Scan parquet null3.065226true31nullnullfalse
app-20220209231533-005024WholeStageCodegen (3)WholeStageCodegen (3)3.9214097295true33HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow6:7:8:9:10:17:18false
app-20220209231533-005024Projectnull3.009truenullnullnullfalse
app-20220209231533-00504Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005016Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005022Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005015Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005020Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00501Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00500Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-00505Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024WholeStageCodegen (1)WholeStageCodegen (1)2.956612true32Project:Filter:ColumnarToRow13:14:15false
app-20220209231533-00503Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209231533-005024Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209231533-005024Projectnull3.007truenullnullnullfalse
app-20220209231533-005024Exchangenull4.2115424true33:34nullnullfalse
app-20220209231533-005011Execute CreateViewCommandnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen3.7503true6HashAggregate:Project4:5false
application_1665146417445_00020CollectLimitnull1.000falsenullnullnullfalse
application_1665146417445_00023WholeStageCodegenWholeStageCodegen4.500true7HashAggregate1false
application_1665146417445_00021Projectnull3.001truenullnullnullfalse
application_1665146417445_00020WholeStageCodegenWholeStageCodegen3.001truenullProject2false
application_1665146417445_00021WholeStageCodegenWholeStageCodegen3.000true1Project1false
application_1665146417445_00023Exchangenull4.206true5nullnullfalse
application_1665146417445_00022HashAggregatenull4.501true4nullnullfalse
application_1665146417445_00022HashAggregatenull4.506true3nullnullfalse
application_1665146417445_00022HashAggregatenull4.504true3nullnullfalse
application_1665146417445_00021Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_mapnull1.002false1nullnullfalse
application_1665146417445_00022Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.008false2nullnullfalse
application_1665146417445_00020Projectnull3.002truenullnullnullfalse
application_1665146417445_00023HashAggregatenull4.504true6nullnullfalse
application_1665146417445_00023HashAggregatenull4.501true7nullnullfalse
application_1665146417445_00023Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.007false5nullnullfalse
application_1665146417445_00022HashAggregatenull4.505true3nullnullfalse
application_1665146417445_00020Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_modnull1.003false0nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.500true4HashAggregate1false
application_1665146417445_00023Projectnull3.005truenullnullnullfalse
application_1665146417445_00022Exchangenull4.202true3nullnullfalse
application_1665146417445_00022WholeStageCodegenWholeStageCodegen4.503true3HashAggregate:HashAggregate:HashAggregate4:5:6false
application_1665146417445_00022Exchangenull4.207true2nullnullfalse
application_1665146417445_00023Exchangenull4.202true6nullnullfalse
app-20220209230053-002824Exchangenull4.23630436true49:50nullnullfalse
app-20220209230053-002824Exchangenull4.2164896true37:38nullnullfalse
app-20220209230053-002824WholeStageCodegen (35)WholeStageCodegen (35)8.09740356227true52Sort228false
app-20220209230053-002824Projectnull3.00155truenullnullnullfalse
app-20220209230053-00284Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.00204truenullnullnullfalse
app-20220209230053-002824Projectnull3.00143truenullnullnullfalse
app-20220209230053-002824Projectnull3.0072truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.4333255637true49Project:Filter:HashAggregate38:39:40false
app-20220209230053-002824WholeStageCodegen (32)WholeStageCodegen (32)3.0334418172true44Project173false
app-20220209230053-002824SubqueryBroadcastnull3.0160551truenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5043true47nullnullfalse
app-20220209230053-002824Projectnull3.0030truenullnullnullfalse
app-20220209230053-00287Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Projectnull3.0017truenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0108202truenullnullnullfalse
app-20220209230053-002815Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00283Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.08779181true41nullnullfalse
app-20220209230053-002824Filternull2.8062true33nullnullfalse
app-20220209230053-002824HashAggregatenull1.00224false52nullnullfalse
app-20220209230053-002824WholeStageCodegen (2)WholeStageCodegen (2)8.057073819true50Sort20false
app-20220209230053-002824Projectnull3.00225truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00223false52nullnullfalse
app-20220209230053-002824Exchangenull4.2309177true41:44nullnullfalse
app-20220209230053-002824TakeOrderedAndProjectnull3.001true53:54nullnullfalse
app-20220209230053-002824WholeStageCodegen (15)WholeStageCodegen (15)2.821724137true45Filter:ColumnarToRow138:139false
app-20220209230053-002824SortMergeJoinnull22.7012true51nullnullfalse
app-20220209230053-002824WholeStageCodegen (23)WholeStageCodegen (23)6.96293476true51HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin7:8:9:10:11false
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.82258215true32Filter:ColumnarToRow216:217false
app-20220209230053-002824SortMergeJoinnull22.70241true52nullnullfalse
app-20220209230053-002824Sortnull8.00228true52nullnullfalse
app-20220209230053-002824Projectnull3.00236truenullnullnullfalse
app-20220209230053-002824Filternull2.80189true42nullnullfalse
app-20220209230053-002824Scan parquet null3.028733true31nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00157false31nullnulltrue
app-20220209230053-002824HashAggregatenull4.50193true40nullnullfalse
app-20220209230053-002824Projectnull3.0046truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.81533322true48Filter:ColumnarToRow23:24false
app-20220209230053-00286Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002812Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (42)WholeStageCodegen (42)8.07107509242true52Sort243false
app-20220209230053-002824Sortnull8.00233true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0049false47nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)8.07271900120true37Sort121false
app-20220209230053-002824Filternull2.8048true47nullnullfalse
app-20220209230053-002824Exchangenull4.2836815true50:51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01206127truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (26)WholeStageCodegen (26)8.0616179175true44Sort176false
app-20220209230053-002824HashAggregatenull1.00163false52nullnullfalse
app-20220209230053-002824HashAggregatenull1.00239false52nullnullfalse
app-20220209230053-002824Sortnull8.00235true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (21)WholeStageCodegen (21)5.671192790141true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin142:143:144:145:146:147:148false
app-20220209230053-002824SortMergeJoinnull22.70226true52nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70104true37nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00118false34nullnulltrue
app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954860true33Project:Filter:ColumnarToRow61:62:63false
app-20220209230053-002824BroadcastHashJoinnull5.090165true52nullnullfalse
app-20220209230053-002824Filternull2.8067true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0115228truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.00146false51nullnullfalse
app-20220209230053-002824Sortnull8.0020true50nullnullfalse
app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.948203true39Project:Filter:ColumnarToRow204:205:206false
app-20220209230053-002824Exchangenull4.21065true51:53nullnullfalse
app-20220209230053-002824Exchangenull4.26954171true44:52nullnullfalse
app-20220209230053-002824Scan parquet null3.0203869true32nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01925214truenullnullnullfalse
app-20220209230053-002824Projectnull3.00173truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (47)WholeStageCodegen (47)6.9658082162true52HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin163:164:165:166:167false
app-20220209230053-002824WholeStageCodegen (13)WholeStageCodegen (13)8.0768468986true51Sort87false
app-20220209230053-002824Sortnull8.00176true44nullnullfalse
app-20220209230053-002811Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.50190true42nullnullfalse
app-20220209230053-002824Sortnull8.00152true51nullnullfalse
app-20220209230053-002824BroadcastExchangenull3.0159653truenullnullnullfalse
app-20220209230053-002824Projectnull3.0055truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.924787686192true40HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow193:194:195:196:197:198:199false
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341115true34Project:Filter:ColumnarToRow116:117:118false
app-20220209230053-002824Projectnull3.00221truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (38)WholeStageCodegen (38)5.6715748975219true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin220:221:222:223:224:225:226false
app-20220209230053-00282Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-00289Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70167true52nullnullfalse
app-20220209230053-002824WholeStageCodegen (10)WholeStageCodegen (10)2.9162909081true46Project:Filter:ColumnarToRow82:83:84false
app-20220209230053-002824Filternull2.8031true31nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70133true51nullnullfalse
app-20220209230053-00288Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Scan parquet null3.02038218true32nullnullfalse
app-20220209230053-002824WholeStageCodegen (8)WholeStageCodegen (8)3.031701316true50Project17false
app-20220209230053-002810Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastHashJoinnull5.090102true37nullnullfalse
app-20220209230053-002824Unionnull3.002truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (45)WholeStageCodegen (45)5.67579620234true52Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin235:236:237:238:239:240:241false
app-20220209230053-002824HashAggregatenull4.5095true38nullnullfalse
app-20220209230053-002824Sortnull8.00230true52nullnullfalse
app-20220209230053-002824Exchangenull4.257306107true35:37nullnullfalse
app-20220209230053-00281Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824BroadcastExchangenull3.01152153truenullnullnullfalse
app-20220209230053-002824HashAggregatenull1.0075false51nullnullfalse
app-20220209230053-002824Scan parquet null3.052564true33nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.70231true52nullnullfalse
app-20220209230053-002824Sortnull8.00142true51nullnullfalse
app-20220209230053-002824ColumnarToRownull1.00212false33nullnulltrue
app-20220209230053-002824BroadcastExchangenull3.01596208truenullnullnullfalse
app-20220209230053-002824Projectnull3.00210truenullnullnullfalse
app-20220209230053-002824ColumnarToRownull1.0091false43nullnulltrue
app-20220209230053-002824WholeStageCodegen (4)WholeStageCodegen (4)2.8225866true32Filter:ColumnarToRow67:68false
app-20220209230053-002824Filternull2.80179true41nullnullfalse
app-20220209230053-002824Sortnull8.0079true51nullnullfalse
app-20220209230053-002824Scan parquet null3.01128383111true35nullnullfalse
app-20220209230053-002824Filternull1.0073false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)2.9341128true34Project:Filter:ColumnarToRow129:130:131false
app-20220209230053-002824Sortnull8.00245true52nullnullfalse
app-20220209230053-002824ColumnarToRownull1.0024false48nullnulltrue
app-20220209230053-002824BroadcastHashJoinnull5.090195true40nullnullfalse
app-20220209230053-002824SortMergeJoinnull22.7018true50nullnullfalse
app-20220209230053-002824HashAggregatenull1.004false53nullnullfalse
app-20220209230053-002824Projectnull3.00196truenullnullnullfalse
app-20220209230053-002824SubqueryBroadcastnull3.01212112truenullnullnullfalse
app-20220209230053-002824Filternull1.00144false51nullnullfalse
app-20220209230053-002823Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Exchangenull4.2374136true45:52:51nullnullfalse
app-20220209230053-002817Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824HashAggregatenull4.5098true37nullnullfalse
app-20220209230053-002824Filternull2.80216true32nullnullfalse
app-20220209230053-002824Execute InsertIntoHadoopFsRelationCommand parquetnull3.000truenullnullnullfalse
app-20220209230053-002824Exchangenull4.27422580true46:52:51nullnullfalse
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app-20220209230053-002824WholeStageCodegen (1)WholeStageCodegen (1)2.83141204108true35Filter:ColumnarToRow109:110false
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app-20220209230053-002824WholeStageCodegen (48)WholeStageCodegen (48)1.03979159false53HashAggregate160false
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app-20220209230053-002824HashAggregatenull1.007false51nullnullfalse
app-20220209230053-002824WholeStageCodegen (14)WholeStageCodegen (14)5.671308543670true51Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin71:72:73:74:75:76:77false
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app-20220209230053-002824Scan parquet null3.07319350true47nullnullfalse
app-20220209230053-002824WholeStageCodegen (40)WholeStageCodegen (40)8.00232true52Sort233false
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app-20220209230053-002824ColumnarToRownull1.0063false33nullnulltrue
app-20220209230053-002824WholeStageCodegen (25)WholeStageCodegen (25)2.815032178true41Filter:ColumnarToRow179:180false
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app-20220209230053-002824WholeStageCodegen (37)WholeStageCodegen (37)8.09684161229true52Sort230false
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app-20220209230053-002824WholeStageCodegen (31)WholeStageCodegen (31)8.0280275183true44Sort184false
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app-20220209230053-002824WholeStageCodegen (3)WholeStageCodegen (3)2.954854true33Project:Filter:ColumnarToRow55:56:57false
app-20220209230053-002824WholeStageCodegen (7)WholeStageCodegen (7)4.5994true38HashAggregate95false
app-20220209230053-00280Execute CreateViewCommandnull1.000falsenullnullnullfalse
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app-20220209230053-002824ReusedExchangenull1.00185falsenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (5)WholeStageCodegen (5)3.92484989842true47HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow43:44:45:46:47:48:49false
app-20220209230053-002824Sortnull8.00243true52nullnullfalse
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app-20220209230053-002824BroadcastHashJoinnull5.090197true40nullnullfalse
app-20220209230053-002824WholeStageCodegen (6)WholeStageCodegen (6)3.43329696187true42Project:Filter:HashAggregate188:189:190false
app-20220209230053-002824Sortnull8.00184true44nullnullfalse
app-20220209230053-002824Scan parquet null3.0324119true34nullnullfalse
app-20220209230053-002822Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230053-002824Filternull2.8056true33nullnullfalse
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app-20220209230053-002824BroadcastHashJoinnull5.0909true51nullnullfalse
app-20220209230053-002824Projectnull3.0061truenullnullnullfalse
app-20220209230053-002824WholeStageCodegen (16)WholeStageCodegen (16)8.00134true51Sort135false
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app-20220209230053-002824Projectnull3.0044truenullnullnullfalse
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app-20220209230750-003624WholeStageCodegen (19)WholeStageCodegen (19)2.811348582true40Filter:ColumnarToRow83:84false
app-20220209230750-003624Projectnull3.005truenullnullnullfalse
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app-20220209230750-003624ColumnarToRownull1.0039false32nullnulltrue
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app-20220209230750-003624ColumnarToRownull1.0090false31nullnulltrue
app-20220209230750-003624Filternull2.8017true38nullnullfalse
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app-20220209230750-003624BroadcastHashJoinnull5.0904true42nullnullfalse
app-20220209230750-003624BroadcastExchangenull3.0149435truenullnullnullfalse
app-20220209230750-003614Execute CreateViewCommandnull1.000falsenullnullnullfalse
app-20220209230750-003624Sortnull8.0055true41nullnullfalse
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app-20220209230750-003624Filternull1.0056false41nullnullfalse
app-20220209230750-003624SortMergeJoinnull22.7066true35nullnullfalse
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app-20220209230750-003624WholeStageCodegen (2)WholeStageCodegen (2)3.6340442927true36Project:BroadcastHashJoin:Filter:ColumnarToRow28:29:30:31false
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app-20220209230750-003624WholeStageCodegen (5)WholeStageCodegen (5)8.0176929047true37Sort48false
Showing the first 1000 rows.
"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template","dashboards":[{"elements":[],"guid":"0ed3c80b-b2f6-4c89-9a92-1af2f168d5ea","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2721260844584915,"title":"Executive View","width":1600,"globalVars":{}},{"elements":[],"guid":"ab4cecf9-0471-4fee-aa33-8927bb7e1bb1","layoutOption":{"stack":true,"grid":true},"version":"DashboardViewV1","nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2721260844584916,"title":"App View","width":1920,"globalVars":{}}],"notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"name":"log_path","width":551,"breakBefore":false},{"name":"output_path","width":551,"breakBefore":false}]},"language":"python","widgets":{"log_path":{"nuid":"88986aa6-6e67-4d09-aeeb-7c96ea1ea8f1","currentValue":"/dbfs/user1/qualification_logs","widgetInfo":{"widgetType":"text","name":"log_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}},"output_path":{"nuid":"0b9846bd-5c3e-4ae2-ba00-80bb9da1ee32","currentValue":"/tmp","widgetInfo":{"widgetType":"text","name":"output_path","defaultValue":"","label":null,"options":{"widgetType":"text","validationRegex":null}}}},"notebookOrigID":2721260844584890}},"nbformat":4,"nbformat_minor":0}