diff --git a/.github/workflows/auto-merge.yml b/.github/workflows/auto-merge.yml
index 3b3c83f94..bab0f3f71 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-24.04
+    - branch-24.06
     types: [closed]
 
 jobs:
@@ -29,14 +29,14 @@ jobs:
     steps:
       - uses: actions/checkout@v4
         with:
-          ref: branch-24.04 # force to fetch from latest upstream instead of PR ref
+          ref: branch-24.06 # 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-24.04
-          BASE: branch-24.06
+          HEAD: branch-24.06
+          BASE: branch-24.08
           AUTOMERGE_TOKEN: ${{ secrets.AUTOMERGE_TOKEN }} # use to merge PR
 
diff --git a/docs/get-started/xgboost-examples/csp/databricks/databricks.md b/docs/get-started/xgboost-examples/csp/databricks/databricks.md
index 45514cd53..1377a1532 100644
--- a/docs/get-started/xgboost-examples/csp/databricks/databricks.md
+++ b/docs/get-started/xgboost-examples/csp/databricks/databricks.md
@@ -21,7 +21,8 @@ Navigate to your home directory in the UI and select **Create** > **File** from
 create an `init.sh` scripts with contents:   
    ```bash
    #!/bin/bash
-   sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
+   sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar
+   ```
 1. Select the Databricks Runtime Version from one of the supported runtimes specified in the
    Prerequisites section.
 2. Choose the number of workers that matches the number of GPUs you want to use.
@@ -67,7 +68,7 @@ create an `init.sh` scripts with contents:
     ```bash
     spark.rapids.sql.python.gpu.enabled true
     spark.python.daemon.module rapids.daemon_databricks
-    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-24.04.0.jar:/databricks/spark/python
+    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-24.06.0.jar:/databricks/spark/python
     ```
    Note that since python memory pool require installing the cudf library, so you need to install cudf library in 
    each worker nodes `pip install cudf-cu11 --extra-index-url=https://pypi.nvidia.com` or disable python memory pool
diff --git a/docs/get-started/xgboost-examples/csp/databricks/init.sh b/docs/get-started/xgboost-examples/csp/databricks/init.sh
index 129922bad..6dbb9052a 100644
--- a/docs/get-started/xgboost-examples/csp/databricks/init.sh
+++ b/docs/get-started/xgboost-examples/csp/databricks/init.sh
@@ -1,7 +1,7 @@
 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
 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
 
-sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
+sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar
 sudo wget -O /databricks/jars/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
 sudo wget -O /databricks/jars/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
 ls -ltr
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 af070f7ef..6bd7ea155 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=<gpu spark docker image repo and name>
 export SPARK_DOCKER_TAG=<spark docker image tag>
 
 pushd ${SPARK_HOME}
-wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-24.04/dockerfile/Dockerfile
+wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-24.06/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 4cafb4cd8..e34e0557d 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_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
+  * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.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 08f350ebf..5fc42d603 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. Download the RAPIDS Accelerator for Apache Spark plugin jar
-   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)
 
 ### Build XGBoost Scala Examples
 
diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
index 2573682b1..12d00546c 100644
--- a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
@@ -18,7 +18,7 @@
 ARG CUDA_VER=11.8.0
 FROM nvidia/cuda:${CUDA_VER}-devel-ubuntu20.04
 # Please do not update the BRANCH_VER version
-ARG BRANCH_VER=24.04
+ARG BRANCH_VER=24.06
 
 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 7505c8941..75ced6296 100644
--- a/examples/ML+DL-Examples/Spark-cuML/pca/README.md
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/README.md
@@ -12,9 +12,9 @@ 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_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.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)
 
-Note: This demo could only work with v22.02.0 spark-ml version, and only compatible with spark-rapids versions prior to 24.04.0 . Please do not update the version in release.
+Note: This demo could only work with v22.02.0 spark-ml version, and only compatible with spark-rapids versions prior to 23.04.0 . Please do not update the version in release.
 
 ## Sample code
 
@@ -49,7 +49,7 @@ 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_2.12-24.04.0.jar
+    PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-23.04.0.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 87d3bea90..3d7f28b48 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 @@
     <groupId>com.nvidia</groupId>
     <artifactId>PCAExample</artifactId>
     <packaging>jar</packaging>
-    <version>24.04.0-SNAPSHOT</version>
+    <version>23.04.0-SNAPSHOT</version>
 
     <properties>
         <maven.compiler.source>8</maven.compiler.source>
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 8302c980f..55a5c5057 100755
--- a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
@@ -17,7 +17,7 @@
 
 # Note that the last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNAPSHOT, please do not update the version in release
 ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/22.02.0/rapids-4-spark-ml_2.12-22.02.0.jar
-PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
+PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar
 Note: The last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNAPSHOT.
 
 $SPARK_HOME/bin/spark-submit \
@@ -40,4 +40,4 @@ $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-24.04.0-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 7fb0695bd..099b047a4 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_2.12-24.04.0.jar\")\n"
+    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-24.06.0.jar\")\n"
    ]
   },
   {
diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md
index a05b19480..751057ed6 100644
--- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md
+++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md
@@ -118,6 +118,8 @@ and other settings. See the top of the `Dockerfile` for details.
 
 First install docker and [nvidia-docker](https://github.com/NVIDIA/nvidia-docker)
 
+Run the following commands to build and start a docker
+
 ```bash
 cd spark-rapids-examples/examples/UDF-Examples/RAPIDS-accelerated-UDFs
 docker build -t my-local:my-udf-example-ubuntu .
@@ -184,7 +186,7 @@ then do the following inside the Docker container.
 
 ### Get jars from Maven Central
 
-[rapids-4-spark_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
+[rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)
 
 
 ### Launch a local mode Spark
diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml
index 7b4ff0cc5..34d7e627b 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
     </description>
-    <version>24.04.0-SNAPSHOT</version>
+    <version>24.06.0-SNAPSHOT</version>
 
     <properties>
         <maven.compiler.source>1.8</maven.compiler.source>
@@ -37,7 +37,7 @@
         <cuda.version>cuda11</cuda.version>
         <scala.binary.version>2.12</scala.binary.version>
         <!-- Depends on release version, Snapshot version is not published to the Maven Central -->
-        <rapids4spark.version>24.04.0</rapids4spark.version>
+        <rapids4spark.version>24.06.0</rapids4spark.version>
         <spark.version>3.1.1</spark.version>
         <scala.version>2.12.15</scala.version>
         <udf.native.build.path>${project.build.directory}/cpp-build</udf.native.build.path>
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 9caab4f09..4bdec9b00 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-24.04/RAPIDS.cmake
+file(DOWNLOAD https://raw.githubusercontent.com/rapidsai/rapids-cmake/branch-24.06/RAPIDS.cmake
      ${CMAKE_BINARY_DIR}/RAPIDS.cmake)
 include(${CMAKE_BINARY_DIR}/RAPIDS.cmake)
 
@@ -32,7 +32,7 @@ if(DEFINED GPU_ARCHS)
 endif()
 rapids_cuda_init_architectures(UDFEXAMPLESJNI)
 
-project(UDFEXAMPLESJNI VERSION 24.04.0 LANGUAGES C CXX CUDA)
+project(UDFEXAMPLESJNI VERSION 24.06.0 LANGUAGES C CXX CUDA)
 
 option(PER_THREAD_DEFAULT_STREAM "Build with per-thread default stream" OFF)
 option(BUILD_UDF_BENCHMARKS "Build the benchmarks" OFF)
@@ -84,10 +84,10 @@ set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -w --expt-extended-lambda --expt-relax
 set(CUDA_USE_STATIC_CUDA_RUNTIME ON)
 
 rapids_cpm_init()
-rapids_cpm_find(cudf 24.04.00
+rapids_cpm_find(cudf 24.06.00
         CPM_ARGS
         GIT_REPOSITORY  https://github.com/rapidsai/cudf.git
-        GIT_TAG         branch-24.04
+        GIT_TAG         branch-24.06
         GIT_SHALLOW     TRUE
         SOURCE_SUBDIR   cpp
         OPTIONS         "BUILD_TESTS OFF"
diff --git a/examples/UDF-Examples/Spark-cuSpatial/pom.xml b/examples/UDF-Examples/Spark-cuSpatial/pom.xml
index 909a1be5b..17bc2c205 100644
--- a/examples/UDF-Examples/Spark-cuSpatial/pom.xml
+++ b/examples/UDF-Examples/Spark-cuSpatial/pom.xml
@@ -24,7 +24,7 @@
   <name>UDF of the cuSpatial case for the RAPIDS Accelerator</name>
   <description>The RAPIDS accelerated user defined function of the cuSpatial case
     for use with the RAPIDS Accelerator for Apache Spark</description>
-  <version>24.04.0-SNAPSHOT</version>
+  <version>23.02.0-SNAPSHOT</version>
 
   <properties>
     <maven.compiler.source>1.8</maven.compiler.source>
diff --git a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb
index d6d14583d..74278239a 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 24.04.0 using cudf 24.04.0.\n",
+      "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\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",
@@ -197,7 +197,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "params['features_col'] = features\n",
     "params['label_col'] = label\n",
diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb
index 48830285d..19b0c211d 100644
--- a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb
+++ b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb
@@ -933,7 +933,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "params['features_col'] = features\n",
     "params['label_col'] = label\n",
diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb
index e8b580a2c..9622efb1f 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-24.04/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-24.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [rapids-4-spark_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.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_2.12-24.04.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.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 54c975af4..cdc4d1ec5 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 24.04.0 using cudf 24.04.0.\n",
+      "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\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"
@@ -191,7 +191,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "\n",
     "params['features_col'] = features\n",
diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb
index 9312fc183..590a68e37 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 24.04.0 using cudf 24.04.0.\n",
+      "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\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"
@@ -235,7 +235,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "params['features_col'] = features\n",
     "params['label_col'] = label\n",
diff --git a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb
index b4c56be2e..43bad4fdb 100644
--- a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb
+++ b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb
@@ -20,14 +20,14 @@
     "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.12/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [rapids-4-spark_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.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_2.12-24.04.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
     "\n",
     "```\n",
     "\n",
diff --git a/examples/XGBoost-Examples/pom.xml b/examples/XGBoost-Examples/pom.xml
index a37081c7f..74968d3cd 100644
--- a/examples/XGBoost-Examples/pom.xml
+++ b/examples/XGBoost-Examples/pom.xml
@@ -38,7 +38,7 @@
 
     <properties>
         <encoding>UTF-8</encoding>
-        <xgboost.version>2.0.3</xgboost.version>
+        <xgboost.version>2.1.0-SNAPSHOT</xgboost.version>
         <spark.version>3.5.0</spark.version>
         <scala.version>2.12.8</scala.version>
         <scala.binary.version>2.12</scala.binary.version>
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 19bedab47..1ca71c7e8 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 24.04.0 using cudf 24.04.0.\n",
+      "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\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",
@@ -182,7 +182,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "params['features_col'] = features\n",
     "params['label_col'] = label\n",
diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb
index b82d5830a..911d6e8be 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_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.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_2.12-24.04.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.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 ce3ee91a1..2877030cc 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 24.04.0 using cudf 24.04.0.\n",
+      "2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\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",
@@ -213,7 +213,7 @@
     "    \"tree_method\": \"gpu_hist\",\n",
     "    \"grow_policy\": \"depthwise\",\n",
     "    \"num_workers\": 1,\n",
-    "    \"use_gpu\": \"true\",\n",
+    "    \"device\": \"cuda\",\n",
     "}\n",
     "params['features_col'] = features\n",
     "params['label_col'] = label\n",
diff --git a/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb b/examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb
index 11ff4e703..7f96df4bb 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_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.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_2.12-24.04.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
     "\n",
     "```\n",
     "\n",
diff --git a/examples/XGBoost-Examples/utility/scala/src/com/nvidia/spark/examples/utility/XGBoostArgs.scala b/examples/XGBoost-Examples/utility/scala/src/com/nvidia/spark/examples/utility/XGBoostArgs.scala
index 5caf438e9..d58e8e94b 100644
--- a/examples/XGBoost-Examples/utility/scala/src/com/nvidia/spark/examples/utility/XGBoostArgs.scala
+++ b/examples/XGBoost-Examples/utility/scala/src/com/nvidia/spark/examples/utility/XGBoostArgs.scala
@@ -1,6 +1,6 @@
 
 /*
- * Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
+ * Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -202,7 +202,7 @@ class XGBoostArgs private[utility] (
 
     val hostIp = params.getOrElse("rabit_tracker_host", "").toString
     if (!hostIp.isEmpty) {
-      params ++ Map("tracker_conf" -> TrackerConf(0l, hostIp))
+      params ++ Map("tracker_conf" -> TrackerConf(0, hostIp))
     } else params
   }
 
diff --git a/tools/databricks/README.md b/tools/databricks/README.md
index 467c5d277..26ca07e56 100644
--- a/tools/databricks/README.md
+++ b/tools/databricks/README.md
@@ -10,3 +10,10 @@ To use a demo notebook, you can import the notebook in the Databricks Notebook U
 Once the demo notebook is imported, you can select run to activate the notebook to an available compute
 cluster.  Once the notebook is activated, you can enter in the log path location in the text widget at the
 top of the notebook.  After that, select *Run all* to execute the tools for the specific logs in the log path.
+
+## Limitations
+1. Currently only local or DBFS eventlog paths are supported.
+2. DBFS path must use the File API Format. 
+3. Example: `/dbfs/<path-to-event-log>`.
+
+**Latest Tools Version Supported** 24.06.0
\ No newline at end of file
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 499332bc5..3cf5bd9ea 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	
@@ -1,3 +1,563 @@
-{"cells":[{"cell_type":"markdown","metadata":{"application/vnd.databricks
-.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"5156a76c-7af7-465d-aff4-41a2e54e3595",
-"showTitle":false,"title":""}},"source":["# Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\n","To 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://docs.nvidia.com/spark-rapids/user-guide/latest/spark-profiling-tool.html#profiling-tool-options.\n","\n","## GPU Job Tuning Recommendations\n","This has general suggestions for tuning your applications to run optimally on GPUs.\n","\n","## Per-Job Profile\n","The profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\">Out[59]: 2011685</div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\">Out[59]: 2011685</div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["import json\n","import requests\n","import base64\n","import shlex\n","import subprocess\n","import pandas as pd\n","\n","TOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/24.04.0/rapids-4-spark-tools_2.12-24.04.0.jar'\n","TOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n","\n","# Profiling tool output directory.\n","OUTPUT_DIR = '/tmp' \n","\n","response = requests.get(TOOL_JAR_URL)\n","open(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"f0e4371a-d2d9-4449-81ed-8f6c61ae8f80","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["dbutils.widgets.text(\"log_path\", \"\")\n","eventlog_string=dbutils.widgets.get(\"log_path\") \n","\n","dbutils.widgets.text(\"output_path\", \"\")\n","outputpath_string=dbutils.widgets.get(\"output_path\")"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"6c35e478-abe6-49b7-97f9-a8aba71f11d3","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["worker_info_path = \"/tmp/worker_info.yaml\"\n","\n","worker_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","\n","with open(worker_info_path, 'w') as f:\n","    f.write(worker_info)"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"e9e7cecf-c2dc-4a0f-aea1-61a323e4ccc4","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"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"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"be0a2da7-1ee3-475e-96f9-303779edfd85","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["import os\n","\n","app_df = pd.DataFrame(columns = ['appId', 'appName'])\n","\n","for 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']])"]},{"cell_type":"markdown","metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"a1e326ec-5701-4b08-ae0f-7df0c8440038","showTitle":false,"title":""}},"source":["## GPU Job Tuning Recommendations"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"4979f78c-44a0-4e54-b803-e5e194b71104","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .table-result-container {\n","    max-height: 300px;\n","    overflow: auto;\n","  }\n","  table, th, td {\n","    border: 1px solid black;\n","    border-collapse: collapse;\n","  }\n","  th, td {\n","    padding: 5px;\n","  }\n","  th {\n","    text-align: left;\n","  }\n","</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>app</th><th>recommendations</th></tr></thead><tbody><tr><td>app-20220210005817-0212</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004538-0189</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000414-0117</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005713-0210</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000744-0123</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002521-0154</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004801-0193</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002620-0156</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001501-0135</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001417-0134</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001930-0143</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005502-0206</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002316-0150</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004324-0185</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005039-0198</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210004834-0194</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004011-0180</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004656-0191</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001324-0133</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000856-0125</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000241-0114</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002105-0146</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000312-0115</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003325-0169</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002654-0157</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005425-0205</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000700-0122</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001109-0129</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002138-0147</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001717-0139</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000018-0110</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002725-0158</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000933-0126</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210004617-0190</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005846-0213</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002757-0159</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001038-0128</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000628-0121</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001959-0144</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000556-0120</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004727-0192</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005222-0201</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210000825-0124</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005536-0207</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001139-0130</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000343-0116</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003705-0176</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003359-0170</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005611-0208</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000119-0112</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005322-0203</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003900-0179</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004355-0186</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001648-0138</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002938-0162</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005354-0204</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001821-0141</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210005252-0202</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002452-0153</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001617-0137</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003254-0168</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004507-0188</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001751-0140</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005642-0209</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210004905-0195</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003751-0177</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002030-0145</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001854-0142</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002549-0155</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210001239-0132</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004428-0187</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002240-0149</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005147-0200</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220523230623-0000</td><td>\n","Spark 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","\n","Comments:\n","- 'spark.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","</td></tr><tr><td>app-20220210000207-0113</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220209235945-0109</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002349-0151</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002421-0152</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000448-0118</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001005-0127</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003149-0166</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003635-0175</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003223-0167</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004041-0181</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003532-0173</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003607-0174</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003048-0164</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210004145-0183</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003825-0178</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003118-0165</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000049-0111</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210000519-0119</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210003015-0163</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210005744-0211</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210005111-0199</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004217-0184</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210002904-0161</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.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","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001546-0136</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003503-0172</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210001209-0131</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","</td></tr><tr><td>app-20220210004114-0182</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002208-0148</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210002833-0160</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr><tr><td>app-20220210003431-0171</td><td>\n","Spark Properties:\n","--conf spark.executor.cores=8\n","--conf spark.executor.instances=20\n","--conf spark.executor.memoryOverhead=5734m\n","--conf spark.rapids.memory.pinnedPool.size=4096m\n","--conf spark.rapids.sql.concurrentGpuTasks=2\n","--conf spark.sql.files.maxPartitionBytes=4096m\n","--conf spark.sql.shuffle.partitions=200\n","--conf spark.task.resource.gpu.amount=0.125\n","\n","Comments:\n","- 'spark.executor.memoryOverhead' was not set.\n","- 'spark.executor.memoryOverhead' must be set if using 'spark.rapids.memory.pinnedPool.size\n","- 'spark.sql.shuffle.partitions' was not set.\n","- Average JVM GC time is very high. Other Garbage Collectors can be used for better performance.\n","</td></tr></tbody></table></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"aggData":[],"aggError":"","aggOverflow":false,"aggSchema":[],"aggSeriesLimitReached":false,"aggType":"","arguments":{},"columnCustomDisplayInfos":{},"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"]],"datasetInfos":[],"dbfsResultPath":null,"isJsonSchema":true,"metadata":{},"overflow":false,"plotOptions":{"customPlotOptions":{},"displayType":"table","pivotAggregation":null,"pivotColumns":null,"xColumns":null,"yColumns":null},"removedWidgets":[],"schema":[{"metadata":"{}","name":"app","type":"\"string\""},{"metadata":"{}","name":"recommendations","type":"\"string\""}],"type":"table"}},"output_type":"display_data"}],"source":["app_list = app_df[\"appId\"].tolist()\n","app_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n","\n","for 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","    \n","display(app_recommendations)"]}],"metadata":{"application/vnd.databricks.v1+notebook":{"dashboards":[{"elements":[{"dashboardResultIndex":0,"elementNUID":"be0a2da7-1ee3-475e-96f9-303779edfd85","elementType":"command","guid":"05eef9d3-7c55-4e26-8d1f-fa80338359e6","options":null,"position":{"height":6,"width":24,"x":0,"y":0,"z":null},"resultIndex":null}],"globalVars":{},"guid":"a9ea7799-040a-484e-a59d-c3cdf5072953","layoutOption":{"grid":true,"stack":true},"nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2690941040041430,"title":"Executive View","version":"DashboardViewV1","width":1600},{"elements":[],"globalVars":{},"guid":"0896a45f-af1b-4849-b6c2-2b6abcb8b97b","layoutOption":{"grid":true,"stack":true},"nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2690941040041431,"title":"App View","version":"DashboardViewV1","width":1920}],"language":"python","notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"breakBefore":false,"name":"log_path","width":562},{"breakBefore":false,"name":"output_path","width":511}]},"notebookName":"[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template","notebookOrigID":2690941040041407,"widgets":{"log_path":{"currentValue":"/dbfs/user1/profiler_logs","nuid":"c7ce3870-db19-4813-b1cb-cead3f4c36f1","widgetInfo":{"defaultValue":"","label":null,"name":"log_path","options":{"validationRegex":null,"widgetType":"text"},"widgetType":"text"}},"output_path":{"currentValue":"/tmp","nuid":"a7d1d293-d8c3-452b-9ffb-786ea7a28843","widgetInfo":{"defaultValue":"","label":null,"name":"output_path","options":{"validationRegex":null,"widgetType":"text"},"widgetType":"text"}}}},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "df33c614-2ecc-47a0-8600-bc891681997f",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\n",
+    "\n",
+    "To run the profiling tool, enter the log path that represents the DBFS location of your Spark GPU event logs. Then, select \"Run all\" to execute the notebook. Once the notebook completes, various output tables will appear below. For more options on running the profiling tool, please refer to the [Profiling Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/profiling/quickstart.html#running-the-tool).\n",
+    "\n",
+    "### Note\n",
+    "- Currently, only local or DBFS event log paths are supported.\n",
+    "- The DBFS path must use the File API format. Example: `/dbfs/<path-to-event-log>`.\n",
+    "- Multiple event logs must be comma-separated.\n",
+    "\n",
+    "### Per-Job Profile\n",
+    "\n",
+    "The profiler output includes information about the application, data sources, executors, SQL stages, Spark properties, and key application metrics at the job and stage levels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "5e9f5796-46ed-49ac-9d08-c8b98a87c39d",
+     "showTitle": true,
+     "title": "Set Tools Version"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "TOOLS_VER = \"24.06.0\"\n",
+    "print(f\"Using Tools Version: {TOOLS_VER}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "313ee58b-61b3-4010-9d60-d21eceea796c",
+     "showTitle": true,
+     "title": "Install Package"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%pip install spark-rapids-user-tools==$TOOLS_VER > /dev/null"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "34492d18-1130-45be-b9f7-e6931d3fa66b",
+     "showTitle": true,
+     "title": "Environment Setup"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Initialize variables from widgets\n",
+    "dbutils.widgets.dropdown(\"Cloud Provider\", \"aws\", [\"aws\", \"azure\"])\n",
+    "CSP=dbutils.widgets.get(\"Cloud Provider\")\n",
+    "\n",
+    "dbutils.widgets.text(\"Eventlog Path\", \"/dbfs/user1/profiling_logs\")\n",
+    "EVENTLOG_PATH=dbutils.widgets.get(\"Eventlog Path\")\n",
+    "\n",
+    "dbutils.widgets.text(\"Output Path\", \"/tmp\")\n",
+    "OUTPUT_PATH=dbutils.widgets.get(\"Output Path\")\n",
+    "\n",
+    "# Setup environment variables\n",
+    "os.environ[\"CSP\"] = CSP\n",
+    "os.environ[\"EVENTLOG_PATH\"] = EVENTLOG_PATH\n",
+    "os.environ[\"OUTPUT_PATH\"] = OUTPUT_PATH\n",
+    "\n",
+    "# Setup console output file\n",
+    "CONSOLE_OUTPUT_PATH = os.path.join(OUTPUT_PATH, 'console_output.log')\n",
+    "CONSOLE_ERROR_PATH = os.path.join(OUTPUT_PATH, 'console_error.log')\n",
+    "os.environ['CONSOLE_OUTPUT_PATH'] = CONSOLE_OUTPUT_PATH\n",
+    "os.environ['CONSOLE_ERROR_PATH'] = CONSOLE_ERROR_PATH\n",
+    "print(f'Console output will be stored at {CONSOLE_OUTPUT_PATH} and errors will be stored at {CONSOLE_ERROR_PATH}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "693b5ee0-7500-43f3-b3e2-717fd5468aa8",
+     "showTitle": true,
+     "title": "Run Profiling Tool"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "spark_rapids profiling --platform databricks-$CSP --eventlogs $EVENTLOG_PATH -o $OUTPUT_PATH > $CONSOLE_OUTPUT_PATH 2> $CONSOLE_ERROR_PATH"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "f83af6c8-5a79-4a46-965b-38a4cb621877",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Console Output\n",
+    "Console output shows the recommended configurations for each app\n",
+    "\n",
+    "**Note**: Use the `--verbose` flag in the command above for more detailed output.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "c61527b7-a21a-492c-bab8-77f83dc5cabf",
+     "showTitle": true,
+     "title": "Show Console Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "cat $CONSOLE_OUTPUT_PATH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "f3c68b28-fc62-40ae-8528-799f3fc7507e",
+     "showTitle": true,
+     "title": "Show Error Log"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "cat $CONSOLE_ERROR_PATH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "05f96ca1-1b08-494c-a12b-7e6cc3dcc546",
+     "showTitle": true,
+     "title": "Parse Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "import shutil\n",
+    "import os\n",
+    "\n",
+    "def extract_file_info(console_output_path, output_base_path):\n",
+    "    try:\n",
+    "        with open(console_output_path, 'r') as file:\n",
+    "            stdout_text = file.read()\n",
+    "        \n",
+    "        # Extract log file location\n",
+    "        location_match = re.search(r\"Location: (.+)\", stdout_text)\n",
+    "        if not location_match:\n",
+    "            raise ValueError(\"Log file location not found in the provided text.\")\n",
+    "        \n",
+    "        log_file_location = location_match.group(1)\n",
+    "        \n",
+    "        # Extract profiling output folder\n",
+    "        prof_match = re.search(r\"prof_[^/]+(?=\\.log)\", log_file_location)\n",
+    "        if not prof_match:\n",
+    "            raise ValueError(\"Output folder not found in the log file location.\")\n",
+    "        \n",
+    "        output_folder_name = prof_match.group(0)\n",
+    "        output_folder = os.path.join(output_base_path, output_folder_name)\n",
+    "        return output_folder, log_file_location\n",
+    "    \n",
+    "    except Exception as e:\n",
+    "        raise RuntimeError(f\"Cannot parse console output. Reason: {e}\")\n",
+    "\n",
+    "def copy_logs(destination_folder, *log_files):\n",
+    "    try:\n",
+    "        log_folder = os.path.join(destination_folder, \"logs\")\n",
+    "        os.makedirs(log_folder, exist_ok=True)\n",
+    "        \n",
+    "        for log_file in log_files:\n",
+    "            if os.path.exists(log_file):\n",
+    "                shutil.copy2(log_file, log_folder)\n",
+    "            else:\n",
+    "                print(f\"Log file not found: {log_file}\")\n",
+    "    except Exception as e:\n",
+    "        raise RuntimeError(f\"Cannot copy logs to output. Reason: {e}\")\n",
+    "\n",
+    "try:\n",
+    "    output_folder, log_file_location = extract_file_info(CONSOLE_OUTPUT_PATH, OUTPUT_PATH)\n",
+    "    print(f\"Output folder detected {output_folder}\")\n",
+    "    copy_logs(output_folder, log_file_location, CONSOLE_OUTPUT_PATH, CONSOLE_ERROR_PATH)\n",
+    "    print(f\"Logs successfully copied to {output_folder}\")\n",
+    "except Exception as e:\n",
+    "    print(e)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "8c65adcd-a933-482e-a50b-d40fa8f50e16",
+     "showTitle": true,
+     "title": "Download Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import shutil\n",
+    "import os\n",
+    "import re\n",
+    "\n",
+    "current_working_directory = os.getcwd()\n",
+    "\n",
+    "def create_destination_folders(folder_name):\n",
+    "    os.makedirs(folder_name, exist_ok=True)\n",
+    "    base_download_folder_path = os.path.join(\"/dbfs/FileStore/\", folder_name)\n",
+    "    os.makedirs(base_download_folder_path, exist_ok=True) \n",
+    "    return base_download_folder_path\n",
+    "\n",
+    "def create_download_link(source_folder, destination_folder_name):\n",
+    "    folder_to_compress = os.path.basename(source_folder)\n",
+    "    zip_file_name = folder_to_compress + '.zip'\n",
+    "    local_zip_file_path = os.path.join(current_working_directory, destination_folder_name, zip_file_name)\n",
+    "    download_folder_path = os.path.join(destination_folder_name, zip_file_name)\n",
+    "    try:\n",
+    "        base_download_folder_path = create_destination_folders(destination_folder_name)\n",
+    "        shutil.make_archive(folder_to_compress, 'zip', source_folder)\n",
+    "        shutil.copy2(zip_file_name, base_download_folder_path)\n",
+    "        if os.path.exists(local_zip_file_path):\n",
+    "            os.remove(local_zip_file_path)\n",
+    "        shutil.move(zip_file_name, local_zip_file_path)\n",
+    "    \n",
+    "        download_button_html = f\"\"\"\n",
+    "        <style>\n",
+    "            .download-btn {{\n",
+    "                display: inline-block;\n",
+    "                padding: 10px 20px;\n",
+    "                font-size: 16px;\n",
+    "                color: white;\n",
+    "                background-color: #4CAF50;\n",
+    "                text-align: center;\n",
+    "                text-decoration: none;\n",
+    "                border-radius: 5px;\n",
+    "                border: none;\n",
+    "                cursor: pointer;\n",
+    "                margin: 15px auto;\n",
+    "            }}\n",
+    "            .download-btn:hover {{\n",
+    "                background-color: #45a049;\n",
+    "            }}\n",
+    "            .button-container {{\n",
+    "                display: flex;\n",
+    "                justify-content: center;\n",
+    "                align-items: center;\n",
+    "            }}\n",
+    "        </style>\n",
+    "        \n",
+    "        <div style=\"color: #444; font-size: 14px; text-align: center; margin: 10px;\">\n",
+    "            Zipped output file created at {local_zip_file_path}\n",
+    "        </div>\n",
+    "        <div class='button-container'>\n",
+    "            <a href='/files/{download_folder_path}' class='download-btn'>Download Output</a>\n",
+    "        </div>\n",
+    "        \"\"\"\n",
+    "        displayHTML(download_button_html)\n",
+    "    except Exception as e:\n",
+    "        error_message_html = f\"\"\"\n",
+    "        <div style=\"color: red; text-align: center; margin: 20px;\">\n",
+    "            <strong>Error:</strong> Cannot create download link for {source_folder}. Reason: {e}\n",
+    "        </div>\n",
+    "        \"\"\"\n",
+    "        displayHTML(error_message_html)\n",
+    "\n",
+    "destination_folder_name = \"Tools_Output\"\n",
+    "create_download_link(output_folder, destination_folder_name)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "\n",
+    "%md\n",
+    "\n",
+    "## GPU Job Tuning Recommendations\n",
+    "This has general suggestions for tuning your applications to run optimally on GPUs.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "b8bca4a6-16d8-4b60-ba7b-9aff64bdcaa1",
+     "showTitle": true,
+     "title": "Show Recommendations"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "jar_output_folder = os.path.join(output_folder, \"rapids_4_spark_profile\")\n",
+    "app_df = pd.DataFrame(columns=['appId', 'appName'])\n",
+    "\n",
+    "for x in os.scandir(jar_output_folder):\n",
+    "    if x.is_dir():\n",
+    "        csv_path = os.path.join(x.path, \"application_information.csv\")\n",
+    "        if os.path.exists(csv_path):\n",
+    "          tmp_df = pd.read_csv(csv_path)\n",
+    "          app_df = pd.concat([app_df, tmp_df[['appId', 'appName']]])\n",
+    "\n",
+    "\n",
+    "app_list = app_df[\"appId\"].tolist()\n",
+    "app_recommendations = pd.DataFrame(columns=['app', 'recommendations'])\n",
+    "\n",
+    "for app in app_list:\n",
+    "  app_file = open(os.path.join(jar_output_folder, 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 = pd.concat([app_recommendations, pd.DataFrame({'app': [app], 'recommendations': [recommendations_str]})], ignore_index=True)\n",
+    "display(app_recommendations)"
+   ]
+  }
+ ],
+ "metadata": {
+  "application/vnd.databricks.v1+notebook": {
+   "dashboards": [
+    {
+     "elements": [],
+     "globalVars": {},
+     "guid": "",
+     "layoutOption": {
+      "grid": true,
+      "stack": true
+     },
+     "nuid": "91c1bfb2-695a-4e5c-8a25-848a433108dc",
+     "origId": 825198511668411,
+     "title": "Executive View",
+     "version": "DashboardViewV1",
+     "width": 1600
+    },
+    {
+     "elements": [],
+     "globalVars": {},
+     "guid": "",
+     "layoutOption": {
+      "grid": true,
+      "stack": true
+     },
+     "nuid": "62243296-4562-4f06-90ac-d7a609f19c16",
+     "origId": 825198511668412,
+     "title": "App View",
+     "version": "DashboardViewV1",
+     "width": 1920
+    }
+   ],
+   "environmentMetadata": null,
+   "language": "python",
+   "notebookMetadata": {
+    "mostRecentlyExecutedCommandWithImplicitDF": {
+     "commandId": 825198511668406,
+     "dataframes": [
+      "_sqldf"
+     ]
+    },
+    "pythonIndentUnit": 2,
+    "widgetLayout": [
+     {
+      "breakBefore": false,
+      "name": "Cloud Provider",
+      "width": 183
+     },
+     {
+      "breakBefore": false,
+      "name": "Eventlog Path",
+      "width": 728
+     },
+     {
+      "breakBefore": false,
+      "name": "Output Path",
+      "width": 232
+     }
+    ]
+   },
+   "notebookName": "[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template",
+   "widgets": {
+    "Cloud Provider": {
+     "currentValue": "aws",
+     "nuid": "8dddcaf7-104e-4247-b811-ff7a133b28d4",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "dropdown",
+      "defaultValue": "aws",
+      "label": null,
+      "name": "Cloud Provider",
+      "options": {
+       "widgetType": "dropdown",
+       "autoCreated": null,
+       "choices": [
+        "aws",
+        "azure"
+       ]
+      }
+     }
+    },
+    "Eventlog Path": {
+     "currentValue": "/dbfs/user1/profiling_logs",
+     "nuid": "1272501d-5ad9-42be-ab62-35768b2fc384",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "text",
+      "defaultValue": "/dbfs/user1/profiling_logs",
+      "label": "",
+      "name": "Eventlog Path",
+      "options": {
+       "widgetType": "text",
+       "autoCreated": false,
+       "validationRegex": null
+      }
+     }
+    },
+    "Output Path": {
+     "currentValue": "/tmp",
+     "nuid": "ab7e082c-1ef9-4912-8fd7-51bf985eb9c1",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "text",
+      "defaultValue": "/tmp",
+      "label": null,
+      "name": "Output Path",
+      "options": {
+       "widgetType": "text",
+       "autoCreated": null,
+       "validationRegex": null
+      }
+     }
+    }
+   }
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "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 d4fe2b2e5..6b6863ae2 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	
@@ -1,9 +1,647 @@
-{"cells":[{"cell_type":"markdown","metadata":{"application/vnd.databricks
-.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"df33c614-2ecc-47a0-8600-bc891681997f",
-"showTitle":false,"title":""}},"source":["# Welcome to the Qualification Tool for the RAPIDS 
-Accelerator for Apache Spark\n","To 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\n","The 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\n","For each stage used in SQL operations, the Qualification tool generates the following information:\n","1. App ID\n","1. Stage ID\n","1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n","1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n","1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n","1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n","\n","## Execs Output\n","The 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.\n","1. App ID\n","1. SQL ID\n","1. Exec Name: example Filter, HashAggregate\n","1. Expression Name\n","1. 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.\n","1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n","1. SQL Node Id\n","1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n","1. Exec Stages: an array of stage IDs\n","1. Exec Children\n","1. Exec Children Node Ids\n","1. Exec Should Remove: whether the Op is removed from the migrated plan."]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"53b4d770-9db6-4bd7-9b93-d036d375eac5","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\">Out[38]: 11948376</div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\">Out[38]: 11948376</div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["import json\n","import requests\n","import base64\n","import shlex\n","import subprocess\n","import pandas as pd\n","\n","# Download Spark RAPIDS tool jar\n","TOOL_JAR_URL = 'https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/24.04.0/rapids-4-spark-tools_2.12-24.04.0.jar'\n","TOOL_JAR_LOCAL_PATH = '/tmp/rapids-4-spark-tools.jar'\n","response = requests.get(TOOL_JAR_URL)\n","open(TOOL_JAR_LOCAL_PATH, \"wb\").write(response.content)\n","\n","# Download S3 jars\n","HADOOP_AWS_URL = 'https://repo.maven.apache.org/maven2/org/apache/hadoop/hadoop-aws/2.7.4/hadoop-aws-2.7.4.jar'\n","HADOOP_AWS_LOCAL_PATH = '/tmp/hadoop-aws-2.7.4.jar'\n","response = requests.get(HADOOP_AWS_URL)\n","open(HADOOP_AWS_LOCAL_PATH, \"wb\").write(response.content)\n","\n","AWS_JAVA_URL = 'https://repo.maven.apache.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar'\n","AWS_JAVA_LOCAL_PATH = '/tmp/aws-java-sdk-1.7.4.jar'\n","response = requests.get(AWS_JAVA_URL)\n","open(AWS_JAVA_LOCAL_PATH, \"wb\").write(response.content)\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"acf401a3-12d3-4236-a6c5-8fe8990b153a","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"source":["dbutils.widgets.text(\"log_path\", \"\")\n","eventlog_string=dbutils.widgets.get(\"log_path\")\n","\n","dbutils.widgets.text(\"output_path\", \"\")\n","outputpath_string=dbutils.widgets.get(\"output_path\")"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"65c4e778-5505-4334-ab89-424334803253","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .ansiout {\n","    display: block;\n","    unicode-bidi: embed;\n","    white-space: pre-wrap;\n","    word-wrap: break-word;\n","    word-break: break-all;\n","    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n","    font-size: 13px;\n","    color: #555;\n","    margin-left: 4px;\n","    line-height: 19px;\n","  }\n","</style>\n","<div class=\"ansiout\"></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"arguments":{},"data":"<div class=\"ansiout\"></div>","datasetInfos":[],"metadata":{},"removedWidgets":[],"type":"html"}},"output_type":"display_data"}],"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"]},{"cell_type":"markdown","metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2","showTitle":false,"title":""}},"source":["## Summary Output"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"fb8edb26-e173-47ff-92a1-463baec7c06b","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .table-result-container {\n","    max-height: 300px;\n","    overflow: auto;\n","  }\n","  table, th, td {\n","    border: 1px solid black;\n","    border-collapse: collapse;\n","  }\n","  th, td {\n","    padding: 5px;\n","  }\n","  th {\n","    text-align: left;\n","  }\n","</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App Name</th><th>App ID</th><th>Recommendation</th><th>Estimated GPU Speedup</th><th>Estimated GPU Duration</th><th>Estimated GPU Time Saved</th><th>SQL DF Duration</th><th>SQL Dataframe Task Duration</th><th>App Duration</th><th>GPU Opportunity</th><th>Executor CPU Time Percent</th><th>SQL Ids with Failures</th><th>Unsupported Read File Formats and Types</th><th>Unsupported Write Data Format</th><th>Complex Types</th><th>Nested Complex Types</th><th>Potential Problems</th><th>Longest SQL Duration</th><th>NONSQL Task Duration Plus Overhead</th><th>Unsupported Task Duration</th><th>Supported SQL DF Task Duration</th><th>Task Speedup Factor</th><th>App Duration Estimated</th><th>Unsupported Execs</th><th>Unsupported Expressions</th></tr></thead><tbody><tr><td>TPC-DS Like Bench q14b</td><td>app-20220209225233-0018</td><td>Strongly Recommended</td><td>2.7</td><td>48971.53</td><td>83400.46</td><td>112708</td><td>27066964</td><td>132372</td><td>109793</td><td>65.66</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>112701</td><td>2939275</td><td>700037</td><td>26366927</td><td>4.16</td><td>false</td><td>HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q14a</td><td>app-20220209225013-0017</td><td>Strongly Recommended</td><td>2.66</td><td>51728.96</td><td>86381.03</td><td>117178</td><td>28746000</td><td>138110</td><td>112636</td><td>64.69</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>117172</td><td>2978987</td><td>1114076</td><td>27631924</td><td>4.29</td><td>false</td><td>HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q4</td><td>app-20220209224316-0007</td><td>Strongly Recommended</td><td>2.66</td><td>41856.03</td><td>69720.96</td><td>90167</td><td>85324700</td><td>111577</td><td>90167</td><td>65.09</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>90163</td><td>3086516</td><td>0</td><td>85324700</td><td>4.41</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q24b</td><td>app-20220209230348-0030</td><td>Recommended</td><td>2.34</td><td>32581.07</td><td>43720.92</td><td>56748</td><td>27574691</td><td>76302</td><td>56694</td><td>60.89</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>56741</td><td>2950634</td><td>25998</td><td>27548693</td><td>4.37</td><td>false</td><td>AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow</td><td>decimal</td></tr><tr><td>TPC-DS Like Bench q67</td><td>app-20220209232913-0074</td><td>Recommended</td><td>2.27</td><td>144720.72</td><td>184416.27</td><td>308185</td><td>15437192</td><td>329137</td><td>265300</td><td>73.64</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>308174</td><td>3028469</td><td>2148108</td><td>13289084</td><td>3.28</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow</td><td>DecimalType</td></tr><tr><td>TPC-DS Like Bench q24a</td><td>app-20220209230232-0029</td><td>Recommended</td><td>2.25</td><td>33029.22</td><td>41483.77</td><td>53469</td><td>27911960</td><td>74513</td><td>53202</td><td>60.14</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>53455</td><td>3305140</td><td>139193</td><td>27772767</td><td>4.54</td><td>false</td><td>AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow</td><td>decimal</td></tr><tr><td>TPC-DS Like Bench q93</td><td>app-20220209235239-0100</td><td>Recommended</td><td>2.18</td><td>31203.42</td><td>36894.57</td><td>50166</td><td>29213056</td><td>68098</td><td>50166</td><td>64.73</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>50161</td><td>2973035</td><td>0</td><td>29213056</td><td>3.78</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q23a</td><td>app-20220209225917-0027</td><td>Recommended</td><td>2.17</td><td>43196.97</td><td>50617.02</td><td>74068</td><td>45913641</td><td>93814</td><td>66840</td><td>64.81</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>74064</td><td>2975228</td><td>4480262</td><td>41433379</td><td>4.12</td><td>false</td><td>HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q23b</td><td>app-20220209230053-0028</td><td>Recommended</td><td>2.08</td><td>46588.14</td><td>50761.85</td><td>77422</td><td>59799857</td><td>97350</td><td>66526</td><td>66.43</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>77417</td><td>3011951</td><td>8415627</td><td>51384230</td><td>4.22</td><td>false</td><td>HashAggregate;Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>DecimalType;decimal</td></tr><tr><td>TPC-DS Like Bench q72</td><td>app-20220209233659-0079</td><td>Recommended</td><td>1.97</td><td>30920.88</td><td>30054.11</td><td>41703</td><td>25434438</td><td>60975</td><td>41703</td><td>74.77</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>41694</td><td>2971887</td><td>0</td><td>25434438</td><td>3.58</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q64</td><td>app-20220209232701-0071</td><td>Recommended</td><td>1.95</td><td>30544.61</td><td>29103.38</td><td>38925</td><td>31852357</td><td>59648</td><td>37301</td><td>55.12</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>38919</td><td>2987987</td><td>1328490</td><td>30523867</td><td>4.55</td><td>false</td><td>HashAggregate;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q78</td><td>app-20220209234412-0085</td><td>Recommended</td><td>1.94</td><td>24390.79</td><td>22946.2</td><td>29098</td><td>24753911</td><td>47337</td><td>29098</td><td>56.99</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>29090</td><td>2968697</td><td>0</td><td>24753911</td><td>4.73</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q95</td><td>app-20220209235427-0102</td><td>Recommended</td><td>1.9</td><td>29920.38</td><td>26967.61</td><td>37674</td><td>23337528</td><td>56888</td><td>35528</td><td>49.19</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>37667</td><td>2958216</td><td>1328886</td><td>22008642</td><td>4.15</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow</td><td>merge_sum</td></tr><tr><td>TPC-DS Like Bench q87</td><td>app-20220209234925-0094</td><td>Recommended</td><td>1.81</td><td>25518.2</td><td>20871.79</td><td>26279</td><td>16348325</td><td>46390</td><td>26279</td><td>52.04</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>26272</td><td>2954066</td><td>0</td><td>16348325</td><td>4.86</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q50</td><td>app-20220209231919-0057</td><td>Recommended</td><td>1.76</td><td>26735.89</td><td>20549.1</td><td>28736</td><td>16444045</td><td>47285</td><td>28736</td><td>52.87</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>28732</td><td>3339217</td><td>0</td><td>16444045</td><td>3.51</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q97</td><td>app-20220209235552-0104</td><td>Recommended</td><td>1.76</td><td>24057.8</td><td>18398.19</td><td>23731</td><td>11475611</td><td>42456</td><td>23731</td><td>58.69</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>23727</td><td>3009477</td><td>0</td><td>11475611</td><td>4.45</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q75</td><td>app-20220209233914-0082</td><td>Recommended</td><td>1.74</td><td>25544.26</td><td>18972.73</td><td>24939</td><td>19831478</td><td>44517</td><td>24939</td><td>43.74</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>24933</td><td>2987306</td><td>0</td><td>19831478</td><td>4.18</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q38</td><td>app-20220209231214-0044</td><td>Recommended</td><td>1.73</td><td>23047.06</td><td>16910.93</td><td>21292</td><td>15248682</td><td>39958</td><td>21292</td><td>48.81</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>21288</td><td>3167687</td><td>0</td><td>15248682</td><td>4.86</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q31</td><td>app-20220209230826-0037</td><td>Recommended</td><td>1.68</td><td>23595.69</td><td>16242.3</td><td>20407</td><td>12617670</td><td>39838</td><td>20407</td><td>34.76</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>20399</td><td>2942830</td><td>0</td><td>12617670</td><td>4.9</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q74</td><td>app-20220209233831-0081</td><td>Recommended</td><td>1.68</td><td>24668.06</td><td>16781.93</td><td>21747</td><td>16692240</td><td>41450</td><td>21747</td><td>46.93</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>21741</td><td>3325282</td><td>0</td><td>16692240</td><td>4.38</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q11</td><td>app-20220209224833-0014</td><td>Recommended</td><td>1.62</td><td>26707.24</td><td>16820.75</td><td>24208</td><td>17615125</td><td>43528</td><td>22143</td><td>45.76</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>24205</td><td>2917642</td><td>1502045</td><td>16113080</td><td>4.16</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow</td><td>DecimalType</td></tr><tr><td>TPC-DS Like Bench q16</td><td>app-20220209225524-0020</td><td>Recommended</td><td>1.62</td><td>25717.33</td><td>16006.66</td><td>22726</td><td>18535920</td><td>41724</td><td>21306</td><td>44.67</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>22720</td><td>3028781</td><td>1157466</td><td>17378454</td><td>4.01</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow</td><td>merge_sum</td></tr><tr><td>TPC-DS Like Bench q51</td><td>app-20220209232008-0058</td><td>Recommended</td><td>1.59</td><td>21942.35</td><td>13069.64</td><td>16925</td><td>12278939</td><td>35012</td><td>16925</td><td>47.26</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16920</td><td>2979507</td><td>0</td><td>12278939</td><td>4.38</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q81</td><td>app-20220209234611-0088</td><td>Recommended</td><td>1.58</td><td>23125.59</td><td>13612.4</td><td>17437</td><td>10033526</td><td>36738</td><td>17393</td><td>36.22</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>17431</td><td>3083743</td><td>24955</td><td>10008571</td><td>4.59</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter</td><td>DECIMAL</td></tr><tr><td>TPC-DS Like Bench q65</td><td>app-20220209232803-0072</td><td>Recommended</td><td>1.57</td><td>23403.59</td><td>13469.4</td><td>18332</td><td>10164071</td><td>36873</td><td>18332</td><td>46.41</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>18324</td><td>2941892</td><td>0</td><td>10164071</td><td>3.77</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q30</td><td>app-20220209230750-0036</td><td>Recommended</td><td>1.56</td><td>21777.06</td><td>12322.93</td><td>16070</td><td>8447753</td><td>34100</td><td>16023</td><td>33.65</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16063</td><td>2987480</td><td>24435</td><td>8423318</td><td>4.33</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter</td><td>DECIMAL</td></tr><tr><td>TPC-DS Like Bench q15</td><td>app-20220209225447-0019</td><td>Recommended</td><td>1.52</td><td>23166.12</td><td>12074.87</td><td>15970</td><td>6770100</td><td>35241</td><td>15970</td><td>34.25</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15964</td><td>2923648</td><td>0</td><td>6770100</td><td>4.09</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q35</td><td>app-20220209231035-0041</td><td>Recommended</td><td>1.51</td><td>24552.13</td><td>12648.86</td><td>18298</td><td>10027023</td><td>37201</td><td>17010</td><td>37.15</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>18293</td><td>3059747</td><td>705510</td><td>9321513</td><td>3.9</td><td>false</td><td>Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q8</td><td>app-20220209224648-0011</td><td>Recommended</td><td>1.51</td><td>23372.7</td><td>12016.29</td><td>15691</td><td>6693324</td><td>35389</td><td>15691</td><td>20.01</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15686</td><td>3133963</td><td>0</td><td>6693324</td><td>4.26</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q69</td><td>app-20220209233517-0076</td><td>Recommended</td><td>1.5</td><td>24534.64</td><td>12431.35</td><td>16589</td><td>7246714</td><td>36966</td><td>16589</td><td>27.75</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16583</td><td>2963952</td><td>0</td><td>7246714</td><td>3.99</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q94</td><td>app-20220209235349-0101</td><td>Recommended</td><td>1.5</td><td>24361.44</td><td>12284.55</td><td>17424</td><td>13168326</td><td>36646</td><td>16352</td><td>41.87</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>17416</td><td>3048502</td><td>809952</td><td>12358374</td><td>4.01</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow</td><td>merge_sum</td></tr><tr><td>TPC-DS Like Bench q54</td><td>app-20220209232140-0061</td><td>Recommended</td><td>1.5</td><td>23475.06</td><td>11742.93</td><td>15568</td><td>5555140</td><td>35218</td><td>15568</td><td>28.65</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15563</td><td>3021018</td><td>0</td><td>5555140</td><td>4.07</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Subquery;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q39a</td><td>app-20220209231256-0045</td><td>Recommended</td><td>1.49</td><td>22102.22</td><td>10863.77</td><td>14136</td><td>4794226</td><td>32966</td><td>14136</td><td>24.49</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>14131</td><td>2998677</td><td>0</td><td>4794226</td><td>4.32</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q29</td><td>app-20220209230713-0035</td><td>Recommended</td><td>1.49</td><td>23597.91</td><td>11588.08</td><td>15912</td><td>10021701</td><td>35186</td><td>15912</td><td>44.09</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15905</td><td>3057910</td><td>0</td><td>10021701</td><td>3.68</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q47</td><td>app-20220209231740-0054</td><td>Recommended</td><td>1.48</td><td>23520.63</td><td>11417.36</td><td>15246</td><td>8996925</td><td>34938</td><td>15160</td><td>35.78</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15241</td><td>3107687</td><td>50299</td><td>8946626</td><td>4.05</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q59</td><td>app-20220209232422-0066</td><td>Recommended</td><td>1.48</td><td>24246.78</td><td>11658.21</td><td>16091</td><td>6749831</td><td>35905</td><td>16091</td><td>34.65</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16084</td><td>3068245</td><td>0</td><td>6749831</td><td>3.63</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q6</td><td>app-20220209224544-0009</td><td>Recommended</td><td>1.46</td><td>22488.01</td><td>10526.98</td><td>13758</td><td>6335474</td><td>33015</td><td>13756</td><td>30.04</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13753</td><td>2943126</td><td>863</td><td>6334611</td><td>4.26</td><td>false</td><td>Subquery;Execute CreateViewCommand;Filter;ReusedExchange;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q80</td><td>app-20220209234532-0087</td><td>Recommended</td><td>1.46</td><td>25298.12</td><td>11841.87</td><td>16742</td><td>12630126</td><td>37140</td><td>15856</td><td>40.02</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16735</td><td>3360633</td><td>668346</td><td>11961780</td><td>3.95</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q39b</td><td>app-20220209231330-0046</td><td>Recommended</td><td>1.46</td><td>22094.04</td><td>10341.95</td><td>13457</td><td>3807675</td><td>32436</td><td>13457</td><td>30.24</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13451</td><td>2941727</td><td>0</td><td>3807675</td><td>4.32</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q57</td><td>app-20220209232314-0064</td><td>Recommended</td><td>1.46</td><td>22995.99</td><td>10722.0</td><td>14351</td><td>8374423</td><td>33718</td><td>14237</td><td>31.73</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>14345</td><td>2948771</td><td>66283</td><td>8308140</td><td>4.05</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q1</td><td>app-20220209224147-0004</td><td>Recommended</td><td>1.46</td><td>21599.35</td><td>10007.64</td><td>13417</td><td>7598550</td><td>31607</td><td>13321</td><td>37.09</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13412</td><td>3012015</td><td>54119</td><td>7544431</td><td>4.01</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter</td><td>DECIMAL</td></tr><tr><td>TPC-DS Like Bench q18</td><td>app-20220209225644-0022</td><td>Recommended</td><td>1.44</td><td>22216.88</td><td>9865.11</td><td>13492</td><td>7586670</td><td>32082</td><td>13492</td><td>33.42</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13484</td><td>2962080</td><td>0</td><td>7586670</td><td>3.72</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q45</td><td>app-20220209231631-0052</td><td>Recommended</td><td>1.44</td><td>23723.45</td><td>10458.54</td><td>14455</td><td>5768757</td><td>34182</td><td>14154</td><td>33.74</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>14447</td><td>2957022</td><td>120068</td><td>5648689</td><td>3.83</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;BroadcastHashJoin;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q17</td><td>app-20220209225607-0021</td><td>Recommended</td><td>1.43</td><td>24334.61</td><td>10564.38</td><td>14420</td><td>7818278</td><td>34899</td><td>14420</td><td>37.4</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>14412</td><td>3106844</td><td>0</td><td>7818278</td><td>3.74</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q25</td><td>app-20220209230506-0031</td><td>Recommended</td><td>1.43</td><td>21671.78</td><td>9370.21</td><td>12790</td><td>7060196</td><td>31042</td><td>12790</td><td>34.97</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12784</td><td>3060435</td><td>0</td><td>7060196</td><td>3.74</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q49</td><td>app-20220209231846-0056</td><td>Recommended</td><td>1.42</td><td>22231.44</td><td>9476.55</td><td>12466</td><td>8785195</td><td>31708</td><td>12466</td><td>26.92</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12448</td><td>3080539</td><td>0</td><td>8785195</td><td>4.17</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q46</td><td>app-20220209231707-0053</td><td>Recommended</td><td>1.42</td><td>22047.85</td><td>9385.14</td><td>12318</td><td>6163042</td><td>31433</td><td>12318</td><td>26.39</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12312</td><td>3017041</td><td>0</td><td>6163042</td><td>4.2</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q10</td><td>app-20220209224756-0013</td><td>Recommended</td><td>1.42</td><td>24919.87</td><td>10489.12</td><td>15574</td><td>7745798</td><td>35409</td><td>14432</td><td>30.14</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15567</td><td>3236768</td><td>567780</td><td>7178018</td><td>3.66</td><td>false</td><td>Execute CreateViewCommand;SortMergeJoin;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q68</td><td>app-20220209233444-0075</td><td>Recommended</td><td>1.41</td><td>21674.52</td><td>9006.47</td><td>11821</td><td>5109423</td><td>30681</td><td>11821</td><td>20.54</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>11814</td><td>3004334</td><td>0</td><td>5109423</td><td>4.2</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q5</td><td>app-20220209224509-0008</td><td>Recommended</td><td>1.41</td><td>23548.42</td><td>9749.57</td><td>13729</td><td>8967631</td><td>33298</td><td>13729</td><td>41.35</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13722</td><td>3186659</td><td>0</td><td>8967631</td><td>3.45</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q34</td><td>app-20220209231004-0040</td><td>Recommended</td><td>1.4</td><td>20675.69</td><td>8427.3</td><td>10842</td><td>5053339</td><td>29103</td><td>10842</td><td>27.34</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10836</td><td>2994320</td><td>0</td><td>5053339</td><td>4.49</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q82</td><td>app-20220209234649-0089</td><td>Recommended</td><td>1.4</td><td>22206.53</td><td>8955.46</td><td>12212</td><td>7344489</td><td>31162</td><td>12212</td><td>39.29</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12199</td><td>2973553</td><td>0</td><td>7344489</td><td>3.75</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q85</td><td>app-20220209234821-0092</td><td>Recommended</td><td>1.4</td><td>24121.11</td><td>9726.88</td><td>13468</td><td>7684101</td><td>33848</td><td>13468</td><td>29.91</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13462</td><td>2949755</td><td>0</td><td>7684101</td><td>3.6</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q28</td><td>app-20220209230637-0034</td><td>Recommended</td><td>1.39</td><td>24599.41</td><td>9839.58</td><td>15464</td><td>14309580</td><td>34439</td><td>13823</td><td>33.04</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>15458</td><td>3008413</td><td>1518296</td><td>12791284</td><td>3.47</td><td>false</td><td>AdaptiveSparkPlan;CollectLimit;HashAggregate;Execute CreateViewCommand;ColumnarToRow</td><td>merge_avg;merge_count</td></tr><tr><td>TPC-DS Like Bench q58</td><td>app-20220209232349-0065</td><td>Recommended</td><td>1.39</td><td>22489.0</td><td>8770.99</td><td>12322</td><td>5717106</td><td>31260</td><td>12322</td><td>34.17</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12313</td><td>3102820</td><td>0</td><td>5717106</td><td>3.47</td><td>false</td><td>Execute CreateViewCommand;Subquery;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q19</td><td>app-20220209225718-0023</td><td>Recommended</td><td>1.38</td><td>21689.15</td><td>8456.84</td><td>11373</td><td>5749051</td><td>30146</td><td>11373</td><td>23.22</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>11364</td><td>3161292</td><td>0</td><td>5749051</td><td>3.9</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q61</td><td>app-20220209232531-0068</td><td>Recommended</td><td>1.38</td><td>23308.72</td><td>9017.27</td><td>12357</td><td>4376440</td><td>32326</td><td>12357</td><td>36.63</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12349</td><td>3022176</td><td>0</td><td>4376440</td><td>3.7</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q71</td><td>app-20220209233627-0078</td><td>Recommended</td><td>1.38</td><td>21967.67</td><td>8440.32</td><td>11371</td><td>4987537</td><td>30408</td><td>11371</td><td>21.81</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>11363</td><td>3052139</td><td>0</td><td>4987537</td><td>3.88</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q22</td><td>app-20220209225845-0026</td><td>Recommended</td><td>1.38</td><td>22397.03</td><td>8535.96</td><td>12381</td><td>1736064</td><td>30933</td><td>12381</td><td>50.01</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12376</td><td>2929875</td><td>0</td><td>1736064</td><td>3.22</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q70</td><td>app-20220209233555-0077</td><td>Recommended</td><td>1.37</td><td>21798.79</td><td>8233.2</td><td>10751</td><td>4816235</td><td>30032</td><td>10751</td><td>33.51</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10746</td><td>3034688</td><td>0</td><td>4816235</td><td>4.26</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q83</td><td>app-20220209234722-0090</td><td>Recommended</td><td>1.36</td><td>21949.16</td><td>8010.83</td><td>10956</td><td>5253931</td><td>29960</td><td>10956</td><td>26.62</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10949</td><td>2993826</td><td>0</td><td>5253931</td><td>3.72</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q98</td><td>app-20220209235636-0105</td><td>Recommended</td><td>1.36</td><td>20487.86</td><td>7376.13</td><td>9674</td><td>3164505</td><td>27864</td><td>9674</td><td>21.36</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9669</td><td>2953354</td><td>0</td><td>3164505</td><td>4.21</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q79</td><td>app-20220209234502-0086</td><td>Recommended</td><td>1.35</td><td>21073.77</td><td>7578.22</td><td>10344</td><td>5584295</td><td>28652</td><td>10344</td><td>29.69</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10340</td><td>3007559</td><td>0</td><td>5584295</td><td>3.74</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q73</td><td>app-20220209233802-0080</td><td>Recommended</td><td>1.35</td><td>20143.11</td><td>7154.88</td><td>9205</td><td>3086301</td><td>27298</td><td>9205</td><td>27.46</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9201</td><td>2929775</td><td>0</td><td>3086301</td><td>4.49</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q91</td><td>app-20220209235141-0098</td><td>Recommended</td><td>1.34</td><td>22090.61</td><td>7648.38</td><td>10351</td><td>3106198</td><td>29739</td><td>10351</td><td>23.11</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10347</td><td>2997584</td><td>0</td><td>3106198</td><td>3.83</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q37</td><td>app-20220209231143-0043</td><td>Recommended</td><td>1.34</td><td>22130.6</td><td>7605.4</td><td>10371</td><td>5754398</td><td>29736</td><td>10371</td><td>38.21</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10366</td><td>3003155</td><td>0</td><td>5754398</td><td>3.75</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q44</td><td>app-20220209231559-0051</td><td>Recommended</td><td>1.34</td><td>22359.33</td><td>7652.66</td><td>10956</td><td>7175937</td><td>30012</td><td>10347</td><td>29.11</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>10950</td><td>3029969</td><td>398712</td><td>6777225</td><td>3.84</td><td>false</td><td>AdaptiveSparkPlan;Subquery;Execute CreateViewCommand;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q9</td><td>app-20220209224725-0012</td><td>Recommended</td><td>1.33</td><td>21873.81</td><td>7315.18</td><td>9829</td><td>8064543</td><td>29189</td><td>9829</td><td>35.84</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9823</td><td>3021491</td><td>0</td><td>8064543</td><td>3.91</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;Subquery;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q40</td><td>app-20220209231405-0047</td><td>Recommended</td><td>1.33</td><td>24561.7</td><td>8167.29</td><td>12119</td><td>8004983</td><td>32729</td><td>11272</td><td>36.85</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>12110</td><td>3142013</td><td>558989</td><td>7445994</td><td>3.63</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q2</td><td>app-20220209224220-0005</td><td>Recommended</td><td>1.32</td><td>21301.46</td><td>6890.53</td><td>8966</td><td>4724046</td><td>28192</td><td>8966</td><td>38.76</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8960</td><td>3025086</td><td>0</td><td>4724046</td><td>4.32</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench ss_max</td><td>app-20220209235735-0107</td><td>Recommended</td><td>1.31</td><td>20784.37</td><td>6539.62</td><td>9176</td><td>5331368</td><td>27324</td><td>8883</td><td>40.82</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9171</td><td>3049122</td><td>169902</td><td>5161466</td><td>3.79</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;HashAggregate;ColumnarToRow</td><td>merge_count;merge_max</td></tr><tr><td>TPC-DS Like Bench q60</td><td>app-20220209232500-0067</td><td>Recommended</td><td>1.31</td><td>22250.37</td><td>6983.62</td><td>9811</td><td>3834676</td><td>29234</td><td>9811</td><td>19.92</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9806</td><td>2939560</td><td>0</td><td>3834676</td><td>3.47</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q13</td><td>app-20220209224945-0016</td><td>Recommended</td><td>1.31</td><td>20407.71</td><td>6360.28</td><td>8816</td><td>4265966</td><td>26768</td><td>8816</td><td>34.5</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8808</td><td>2951094</td><td>0</td><td>4265966</td><td>3.59</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q56</td><td>app-20220209232242-0063</td><td>Recommended</td><td>1.3</td><td>22798.87</td><td>7044.12</td><td>9896</td><td>3729466</td><td>29843</td><td>9896</td><td>14.44</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9890</td><td>2971656</td><td>0</td><td>3729466</td><td>3.47</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q76</td><td>app-20220209234000-0083</td><td>Recommended</td><td>1.3</td><td>22630.64</td><td>6827.35</td><td>9835</td><td>6264831</td><td>29458</td><td>9835</td><td>33.9</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9830</td><td>3037202</td><td>0</td><td>6264831</td><td>3.27</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q33</td><td>app-20220209230935-0039</td><td>Recommended</td><td>1.3</td><td>21561.95</td><td>6491.04</td><td>9119</td><td>3032680</td><td>28053</td><td>9119</td><td>18.14</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9111</td><td>2983234</td><td>0</td><td>3032680</td><td>3.47</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q88</td><td>app-20220209235013-0095</td><td>Recommended</td><td>1.3</td><td>23989.56</td><td>7197.43</td><td>9998</td><td>6687038</td><td>31187</td><td>9998</td><td>43.92</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9987</td><td>3212440</td><td>0</td><td>6687038</td><td>3.57</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q7</td><td>app-20220209224619-0010</td><td>Not Recommended</td><td>1.29</td><td>20663.5</td><td>6143.5</td><td>8936</td><td>4022166</td><td>26807</td><td>8936</td><td>35.88</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8929</td><td>2959904</td><td>0</td><td>4022166</td><td>3.2</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q48</td><td>app-20220209231816-0055</td><td>Not Recommended</td><td>1.29</td><td>21310.47</td><td>6237.52</td><td>8514</td><td>3969649</td><td>27548</td><td>8514</td><td>33.42</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8507</td><td>2990347</td><td>0</td><td>3969649</td><td>3.74</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q26</td><td>app-20220209230539-0032</td><td>Not Recommended</td><td>1.28</td><td>21556.18</td><td>6109.81</td><td>8887</td><td>4002441</td><td>27666</td><td>8887</td><td>36.79</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8876</td><td>3012952</td><td>0</td><td>4002441</td><td>3.2</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q12</td><td>app-20220209224918-0015</td><td>Not Recommended</td><td>1.27</td><td>19624.36</td><td>5459.63</td><td>7584</td><td>1865587</td><td>25084</td><td>7584</td><td>23.82</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7577</td><td>3102250</td><td>0</td><td>1865587</td><td>3.57</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q62</td><td>app-20220209232605-0069</td><td>Not Recommended</td><td>1.27</td><td>21448.22</td><td>5877.77</td><td>8574</td><td>4218821</td><td>27326</td><td>8574</td><td>36.47</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8565</td><td>3017055</td><td>0</td><td>4218821</td><td>3.18</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q20</td><td>app-20220209225749-0024</td><td>Not Recommended</td><td>1.26</td><td>21250.95</td><td>5641.04</td><td>7836</td><td>2040974</td><td>26892</td><td>7836</td><td>22.51</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7829</td><td>3039094</td><td>0</td><td>2040974</td><td>3.57</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q99</td><td>app-20220209235705-0106</td><td>Not Recommended</td><td>1.25</td><td>22355.32</td><td>5801.67</td><td>8463</td><td>4558275</td><td>28157</td><td>8463</td><td>33.1</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8455</td><td>2973149</td><td>0</td><td>4558275</td><td>3.18</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q36</td><td>app-20220209231114-0042</td><td>Not Recommended</td><td>1.25</td><td>21356.73</td><td>5527.26</td><td>7756</td><td>3642750</td><td>26884</td><td>7756</td><td>30.08</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7752</td><td>2905924</td><td>0</td><td>3642750</td><td>3.48</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q89</td><td>app-20220209235046-0096</td><td>Not Recommended</td><td>1.25</td><td>20969.23</td><td>5401.76</td><td>7869</td><td>4029740</td><td>26371</td><td>7615</td><td>24.99</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7858</td><td>3012145</td><td>129765</td><td>3899975</td><td>3.44</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q86</td><td>app-20220209234857-0093</td><td>Not Recommended</td><td>1.25</td><td>21140.77</td><td>5388.22</td><td>7493</td><td>3505441</td><td>26529</td><td>7493</td><td>29.09</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7489</td><td>3240380</td><td>0</td><td>3505441</td><td>3.56</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q27</td><td>app-20220209230608-0033</td><td>Not Recommended</td><td>1.25</td><td>22114.89</td><td>5587.1</td><td>8150</td><td>3737103</td><td>27702</td><td>8150</td><td>29.62</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>8143</td><td>3067371</td><td>0</td><td>3737103</td><td>3.18</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q66</td><td>app-20220209232841-0073</td><td>Not Recommended</td><td>1.24</td><td>24291.91</td><td>5938.08</td><td>9771</td><td>5287383</td><td>30230</td><td>8612</td><td>35.68</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>9765</td><td>2922061</td><td>626680</td><td>4660703</td><td>3.22</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;HashAggregate;ColumnarToRow</td><td>DecimalType</td></tr><tr><td>TPC-DS Like Bench q53</td><td>app-20220209232111-0060</td><td>Not Recommended</td><td>1.23</td><td>22160.97</td><td>5233.02</td><td>7622</td><td>3879496</td><td>27394</td><td>7368</td><td>25.54</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7617</td><td>2905347</td><td>128795</td><td>3750701</td><td>3.45</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q84</td><td>app-20220209234754-0091</td><td>Not Recommended</td><td>1.23</td><td>21195.3</td><td>4968.69</td><td>7129</td><td>3814060</td><td>26164</td><td>7129</td><td>40.65</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7123</td><td>3029105</td><td>0</td><td>3814060</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q63</td><td>app-20220209232634-0070</td><td>Not Recommended</td><td>1.23</td><td>21192.66</td><td>4957.33</td><td>7215</td><td>3490147</td><td>26150</td><td>6980</td><td>26.58</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>7207</td><td>2976838</td><td>113318</td><td>3376829</td><td>3.45</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;Filter;ColumnarToRow</td><td>decimal;DecimalType</td></tr><tr><td>TPC-DS Like Bench q43</td><td>app-20220209231533-0050</td><td>Not Recommended</td><td>1.23</td><td>19958.18</td><td>4641.81</td><td>6660</td><td>3257940</td><td>24600</td><td>6660</td><td>29.65</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6651</td><td>2961446</td><td>0</td><td>3257940</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench ss_maxb</td><td>app-20220209235804-0108</td><td>Not Recommended</td><td>1.23</td><td>19063.41</td><td>4414.58</td><td>5825</td><td>3798491</td><td>23478</td><td>5825</td><td>48.17</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>5819</td><td>3155711</td><td>0</td><td>3798491</td><td>4.13</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q3</td><td>app-20220209224250-0006</td><td>Not Recommended</td><td>1.22</td><td>20089.36</td><td>4522.63</td><td>6489</td><td>2898373</td><td>24612</td><td>6489</td><td>26.88</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6483</td><td>3094853</td><td>0</td><td>2898373</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q21</td><td>app-20220209225818-0025</td><td>Not Recommended</td><td>1.22</td><td>20413.61</td><td>4531.38</td><td>6610</td><td>1072926</td><td>24945</td><td>6610</td><td>40.94</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6605</td><td>3079474</td><td>0</td><td>1072926</td><td>3.18</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q55</td><td>app-20220209232217-0062</td><td>Not Recommended</td><td>1.22</td><td>19494.18</td><td>4296.81</td><td>6165</td><td>2612787</td><td>23791</td><td>6165</td><td>24.78</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6158</td><td>2995446</td><td>0</td><td>2612787</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q92</td><td>app-20220209235212-0099</td><td>Not Recommended</td><td>1.21</td><td>20741.45</td><td>4549.54</td><td>6384</td><td>2095601</td><td>25291</td><td>6123</td><td>25.07</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6380</td><td>2967129</td><td>85419</td><td>2010182</td><td>3.89</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter</td><td>DECIMAL</td></tr><tr><td>TPC-DS Like Bench q90</td><td>app-20220209235114-0097</td><td>Not Recommended</td><td>1.21</td><td>20450.98</td><td>4350.01</td><td>6209</td><td>2604676</td><td>24801</td><td>6209</td><td>44.95</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6204</td><td>2976499</td><td>0</td><td>2604676</td><td>3.34</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q32</td><td>app-20220209230908-0038</td><td>Not Recommended</td><td>1.2</td><td>20973.26</td><td>4366.73</td><td>6107</td><td>2712962</td><td>25340</td><td>5909</td><td>25.21</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6098</td><td>3048254</td><td>87623</td><td>2625339</td><td>3.83</td><td>false</td><td>Execute CreateViewCommand;ReusedExchange;ColumnarToRow;Filter</td><td>DECIMAL</td></tr><tr><td>TPC-DS Like Bench q42</td><td>app-20220209231505-0049</td><td>Not Recommended</td><td>1.2</td><td>21414.78</td><td>4436.21</td><td>6365</td><td>2726759</td><td>25851</td><td>6365</td><td>23.15</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>6358</td><td>3047836</td><td>0</td><td>2726759</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q52</td><td>app-20220209232045-0059</td><td>Not Recommended</td><td>1.19</td><td>20523.3</td><td>4071.69</td><td>5842</td><td>2683090</td><td>24595</td><td>5842</td><td>25.46</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>5827</td><td>3074975</td><td>0</td><td>2683090</td><td>3.3</td><td>false</td><td>Execute CreateViewCommand;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q41</td><td>app-20220209231439-0048</td><td>Not Recommended</td><td>1.19</td><td>20533.93</td><td>4071.06</td><td>5649</td><td>161564</td><td>24605</td><td>5649</td><td>55.4</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>5642</td><td>2970757</td><td>0</td><td>161564</td><td>3.58</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>TPC-DS Like Bench q96</td><td>app-20220209235526-0103</td><td>Not Recommended</td><td>1.18</td><td>20189.67</td><td>3776.32</td><td>5324</td><td>2304428</td><td>23966</td><td>5324</td><td>44.32</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>5317</td><td>2947875</td><td>0</td><td>2304428</td><td>3.44</td><td>false</td><td>Execute CreateViewCommand;AdaptiveSparkPlan;ColumnarToRow</td><td>null</td></tr><tr><td>DART-ALGO</td><td>application_1665146417445_0002</td><td>Not Recommended</td><td>1.04</td><td>375798.12</td><td>16253.87</td><td>44531</td><td>75900172</td><td>392052</td><td>23675</td><td>14.55</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>16579</td><td>58017590</td><td>35546441</td><td>40353731</td><td>3.19</td><td>false</td><td>Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod;Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map;CollectLimit</td><td>null</td></tr><tr><td>DART-ALGO</td><td>application_1665146417445_0003</td><td>Not Recommended</td><td>1.0</td><td>690682.0</td><td>0.0</td><td>0</td><td>0</td><td>690682</td><td>0</td><td>0.0</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1.0</td><td>false</td><td>null</td><td>null</td></tr></tbody></table></div>"]},"metadata":{"application/vnd.databricks.v1+output":{"addedWidgets":{},"aggData":[],"aggError":"","aggOverflow":false,"aggSchema":[],"aggSeriesLimitReached":false,"aggType":"","arguments":{},"columnCustomDisplayInfos":{},"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",1.46,22995.99,10722,14351,8374423,33718,14237,31.73,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",1.39,22489,8770.99,12322,5717106,31260,12322,34.17,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",1,690682,0,0,0,690682,0,0,null,null,null,null,null,null,0,0,0,0,1,false,null,null]],"datasetInfos":[],"dbfsResultPath":null,"isJsonSchema":true,"metadata":{},"overflow":false,"plotOptions":{"customPlotOptions":{},"displayType":"table","pivotAggregation":null,"pivotColumns":null,"xColumns":null,"yColumns":null},"removedWidgets":[],"schema":[{"metadata":"{}","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\""}],"type":"table"}},"output_type":"display_data"}],"source":["summary_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output.csv\")\n","display(summary_output)"]},{"cell_type":"markdown","metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"6756159b-30ca-407a-ab6b-9c29ced01ea6","showTitle":false,"title":""}},"source":["## Stages Output"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"cdde6177-db5f-434a-995b-776678a64a3a","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .table-result-container {\n","    max-height: 300px;\n","    overflow: auto;\n","  }\n","  table, th, td {\n","    border: 1px solid black;\n","    border-collapse: collapse;\n","  }\n","  th, td {\n","    padding: 5px;\n","  }\n","  th {\n","    text-align: left;\n","  }\n","</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App ID</th><th>Stage ID</th><th>Average Speedup Factor</th><th>Stage Task Duration</th><th>Unsupported Task Duration</th><th>Stage Estimated</th></tr></thead><tbody><tr><td>app-20220209224509-0008</td><td>31</td><td>2.95</td><td>1184</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>33</td><td>2.9</td><td>1086</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>35</td><td>3.37</td><td>2321523</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>41</td><td>3.9</td><td>172648</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>39</td><td>5.72</td><td>4586824</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>38</td><td>3.36</td><td>694337</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>40</td><td>4.26</td><td>656835</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>37</td><td>3.36</td><td>524190</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>32</td><td>2.9</td><td>641</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>36</td><td>2.73</td><td>7065</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>42</td><td>3.0</td><td>218</td><td>0</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>34</td><td>2.9</td><td>1080</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>39</td><td>2.71</td><td>0</td><td>0</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>40</td><td>3.54</td><td>413</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>34</td><td>2.95</td><td>964</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>37</td><td>2.71</td><td>0</td><td>0</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>41</td><td>3.0</td><td>365</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>31</td><td>2.95</td><td>1058</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>32</td><td>2.95</td><td>694</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>35</td><td>3.68</td><td>2142147</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>38</td><td>4.34</td><td>271</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>36</td><td>3.68</td><td>457864</td><td>0</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>33</td><td>2.95</td><td>900</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>35</td><td>3.33</td><td>93394</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>36</td><td>3.33</td><td>239863</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>38</td><td>6.91</td><td>2696172</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>37</td><td>3.33</td><td>1684494</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>40</td><td>3.9</td><td>205018</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>32</td><td>2.9</td><td>7530</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>41</td><td>3.0</td><td>210</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>39</td><td>5.67</td><td>2129775</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>34</td><td>2.95</td><td>1198</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>31</td><td>2.95</td><td>1284</td><td>0</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>33</td><td>2.9</td><td>1258</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>32</td><td>2.9</td><td>1046</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>34</td><td>3.72</td><td>2226056</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>31</td><td>2.95</td><td>6677</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>33</td><td>2.95</td><td>672</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>37</td><td>3.0</td><td>210</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>35</td><td>4.3</td><td>688894</td><td>0</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>36</td><td>4.3</td><td>566592</td><td>113318</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>36</td><td>3.0</td><td>303</td><td>0</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>32</td><td>2.9</td><td>5690</td><td>0</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>31</td><td>2.95</td><td>1181</td><td>0</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>34</td><td>3.68</td><td>621736</td><td>0</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>33</td><td>2.9</td><td>894</td><td>0</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>35</td><td>3.9</td><td>1106260</td><td>0</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>34</td><td>3.68</td><td>2301205</td><td>0</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>31</td><td>2.95<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the first 1000 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ID","type":"\"string\""},{"metadata":"{}","name":"Stage ID","type":"\"long\""},{"metadata":"{}","name":"Average Speedup Factor","type":"\"double\""},{"metadata":"{}","name":"Stage Task Duration","type":"\"long\""},{"metadata":"{}","name":"Unsupported Task Duration","type":"\"long\""},{"metadata":"{}","name":"Stage Estimated","type":"\"boolean\""}],"type":"table"}},"output_type":"display_data"}],"source":["stages_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_stages.csv\")\n","display(stages_output)"]},{"cell_type":"markdown","metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f","showTitle":false,"title":""}},"source":["## Execs Output"]},{"cell_type":"code","execution_count":null,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"998b0c51-0cb6-408e-a01a-d1f5b1a61e1f","showTitle":false,"title":""}},"outputs":[{"data":{"text/html":["<style scoped>\n","  .table-result-container {\n","    max-height: 300px;\n","    overflow: auto;\n","  }\n","  table, th, td {\n","    border: 1px solid black;\n","    border-collapse: collapse;\n","  }\n","  th, td {\n","    padding: 5px;\n","  }\n","  th {\n","    text-align: left;\n","  }\n","</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App ID</th><th>SQL ID</th><th>Exec Name</th><th>Expression Name</th><th>Task Speedup Factor</th><th>Exec Duration</th><th>SQL Node Id</th><th>Exec Is Supported</th><th>Exec Stages</th><th>Exec Children</th><th>Exec Children Node Ids</th><th>Exec Should Remove</th></tr></thead><tbody><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>30</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>89</td><td>false</td><td>39</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (15)</td><td>WholeStageCodegen (15)</td><td>8.0</td><td>4234050</td><td>95</td><td>true</td><td>39</td><td>Sort</td><td>96</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>584</td><td>97</td><td>true</td><td>36:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>2.9</td><td>23059</td><td>65</td><td>true</td><td>37</td><td>Project:Filter:ColumnarToRow</td><td>66:67:68</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Union</td><td>null</td><td>3.0</td><td>0</td><td>85</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (22)</td><td>WholeStageCodegen (22)</td><td>4.5</td><td>18839</td><td>76</td><td>true</td><td>40</td><td>HashAggregate</td><td>77</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>60</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>80029</td><td>104</td><td>true</td><td>35:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>40</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>54</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>81</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>536</td><td>114</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>4.5</td><td>187988</td><td>9</td><td>true</td><td>40</td><td>HashAggregate</td><td>10</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>56</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>70</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>33</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>77</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>750661</td><td>109</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>87</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>35</td><td>false</td><td>38</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1712</td><td>38</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>4.13</td><td>315026</td><td>12</td><td>true</td><td>38</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin</td><td>13:14:15:16:17</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>113</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>42</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>760</td><td>27</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>28:29:30</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1567</td><td>71</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>62</td><td>false</td><td>37</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (13)</td><td>WholeStageCodegen (13)</td><td>2.9</td><td>17055</td><td>86</td><td>true</td><td>39</td><td>Project:Filter:ColumnarToRow</td><td>87:88:89</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>283</td><td>48</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>103</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>106</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>22</td><td>false</td><td>38</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Union</td><td>null</td><td>3.0</td><td>0</td><td>8</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>10</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>73</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1537</td><td>110</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>94</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>14</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>101</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1128</td><td>44</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>61</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (16)</td><td>WholeStageCodegen (16)</td><td>2.9</td><td>1506623</td><td>105</td><td>true</td><td>35</td><td>Project:Filter:ColumnarToRow</td><td>106:107:108</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>34</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (20)</td><td>WholeStageCodegen (20)</td><td>2.8</td><td>540</td><td>111</td><td>true</td><td>34</td><td>Filter:ColumnarToRow</td><td>112:113</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>37</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (14)</td><td>WholeStageCodegen (14)</td><td>1.0</td><td>4090</td><td>98</td><td>false</td><td>36</td><td>ColumnarToRow</td><td>99</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>12454</td><td>69</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>68</td><td>false</td><td>37</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>21</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>41:42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>15</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>57</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Union</td><td>null</td><td>3.0</td><td>0</td><td>18</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>2.9</td><td>247099</td><td>59</td><td>true</td><td>37</td><td>Project:Filter:ColumnarToRow</td><td>60:61:62</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (21)</td><td>WholeStageCodegen (21)</td><td>4.13</td><td>3230425</td><td>79</td><td>true</td><td>39</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin</td><td>80:81:82:83:84</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>768</td><td>78</td><td>true</td><td>39:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>173035</td><td>23</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>47</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>82</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>66</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>91</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>84</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>19562</td><td>36</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>515</td><td>75</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>206</td><td>4</td><td>true</td><td>40:41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>20</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>13</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>55</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (24)</td><td>WholeStageCodegen (24)</td><td>4.5</td><td>30834</td><td>2</td><td>true</td><td>41</td><td>HashAggregate</td><td>3</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Union</td><td>null</td><td>3.0</td><td>0</td><td>58</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>29</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (12)</td><td>WholeStageCodegen (12)</td><td>4.5</td><td>34686</td><td>49</td><td>true</td><td>40</td><td>HashAggregate</td><td>50</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>50</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>64</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>4425</td><td>51</td><td>true</td><td>37:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>88</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>46</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>743</td><td>31</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>2399</td><td>100</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>2.8</td><td>291</td><td>45</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>46:47</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>41</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>17</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>93</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>325673</td><td>19</td><td>true</td><td>38</td><td>Project:Filter:ColumnarToRow</td><td>20:21:22</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Expand</td><td>null</td><td>3.0</td><td>0</td><td>7</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>6179</td><td>11</td><td>true</td><td>38:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>28</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>16</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>67</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>108</td><td>false</td><td>35</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>107</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1736</td><td>24</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>112</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>83</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (11)</td><td>WholeStageCodegen (11)</td><td>4.13</td><td>235109</td><td>52</td><td>true</td><td>37</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin</td><td>53:54:55:56:57</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>132149</td><td>63</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>760</td><td>39</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>40:41:42</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>99</td><td>false</td><td>36</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (10)</td><td>WholeStageCodegen (10)</td><td>2.8</td><td>538</td><td>72</td><td>true</td><td>33</td><td>Filter:ColumnarToRow</td><td>73:74</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>36275</td><td>32</td><td>true</td><td>38</td><td>Project:Filter:ColumnarToRow</td><td>33:34:35</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>53</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (23)</td><td>WholeStageCodegen (23)</td><td>3.75</td><td>201149</td><td>5</td><td>true</td><td>40</td><td>HashAggregate:Expand</td><td>6:7</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1712</td><td>26</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (18)</td><td>WholeStageCodegen (18)</td><td>12.85</td><td>3376529</td><td>92</td><td>true</td><td>39</td><td>Project:SortMergeJoin</td><td>93:94</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>WholeStageCodegen (17)</td><td>WholeStageCodegen (17)</td><td>8.0</td><td>0</td><td>102</td><td>true</td><td>39</td><td>Sort</td><td>103</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>80</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>25</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>74</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>8648</td><td>90</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>96</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224509-0008</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>743</td><td>43</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>35</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>52</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>49</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>23</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>16</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>13</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>913605</td><td>20</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>969</td><td>42</td><td>true</td><td>36:38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>511</td><td>38</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>46</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>15</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>3.84</td><td>418053</td><td>43</td><td>true</td><td>36</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow</td><td>44:45:46:47:48:49:50:51:52:53</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>7</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1401</td><td>55</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>17</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>57</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>47</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>4.5</td><td>172</td><td>6</td><td>true</td><td>40</td><td>HashAggregate</td><td>7</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>2</td><td>true</td><td>40:41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>36</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>44</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>508</td><td>60</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>4.5</td><td>42</td><td>40</td><td>true</td><td>38</td><td>HashAggregate</td><td>41</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>4</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>3.84</td><td>1443692</td><td>9</td><td>true</td><td>35</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow</td><td>10:11:12:13:14:15:16:17:18:19</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>45</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>519</td><td>22</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>23:24:25</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>24</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>AdaptiveSparkPlan</td><td>null</td><td>1.0</td><td>0</td><td>1</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>31</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>14</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>515</td><td>34</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>35:36:37</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>41</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>29</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>3.0</td><td>96</td><td>3</td><td>true</td><td>40</td><td>Project</td><td>4</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>58</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>50</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>48</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastNestedLoopJoin</td><td>null</td><td>3.0</td><td>0</td><td>5</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1331</td><td>33</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>2539</td><td>8</td><td>true</td><td>35:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>12</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>19</td><td>false</td><td>35</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>298</td><td>32</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1490</td><td>21</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1175</td><td>27</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>37</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>51</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>53</td><td>false</td><td>36</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>512</td><td>26</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>59</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>2.9</td><td>532</td><td>56</td><td>true</td><td>34</td><td>Project:Filter:ColumnarToRow</td><td>57:58:59</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>30</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>187093</td><td>54</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>315</td><td>39</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>317</td><td>28</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>29:30:31</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>18</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>25</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235114-0097</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>10</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1704</td><td>49</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>9</td><td>4</td><td>true</td><td>39:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (10)</td><td>WholeStageCodegen (10)</td><td>2.9</td><td>635</td><td>70</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>71:72:73</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (13)</td><td>WholeStageCodegen (13)</td><td>2.8</td><td>4513</td><td>81</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>82:83</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>9</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1704</td><td>69</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>23</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>8.0</td><td>35213</td><td>55</td><td>true</td><td>39</td><td>Sort</td><td>56</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>2.8</td><td>884757</td><td>58</td><td>true</td><td>37</td><td>Filter:ColumnarToRow</td><td>59:60</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>6119</td><td>42</td><td>true</td><td>36:38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (12)</td><td>WholeStageCodegen (12)</td><td>2.8</td><td>817</td><td>76</td><td>true</td><td>33</td><td>Filter:ColumnarToRow</td><td>77:78</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>52</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (15)</td><td>WholeStageCodegen (15)</td><td>4.5</td><td>33476</td><td>2</td><td>true</td><td>40</td><td>HashAggregate</td><td>3</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.8</td><td>145646</td><td>43</td><td>true</td><td>36</td><td>Filter:ColumnarToRow</td><td>44:45</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>77</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>20</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>36</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>26</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>53</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>15</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>59127</td><td>46</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>18</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>29</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>73</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>83</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>8.0</td><td>1675058</td><td>19</td><td>true</td><td>39</td><td>Sort</td><td>20</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>16</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>51</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>8</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>10</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>37</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>610</td><td>74</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>4268</td><td>84</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>610</td><td>54</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>559865</td><td>61</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>7697</td><td>27</td><td>true</td><td>35:38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>56</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>14</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>2.9</td><td>637</td><td>64</td><td>true</td><td>34</td><td>Project:Filter:ColumnarToRow</td><td>65:66:67</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>38</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>30</td><td>false</td><td>35</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>4960</td><td>57</td><td>true</td><td>37:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>24</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>2462</td><td>80</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>59</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>8.0</td><td>968634</td><td>40</td><td>true</td><td>38</td><td>Sort</td><td>41</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>12</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>44</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>17</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>67</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>618</td><td>68</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>12.85</td><td>1581047</td><td>22</td><td>true</td><td>38</td><td>Project:SortMergeJoin</td><td>23:24</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>28231</td><td>31</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>72</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>45</td><td>false</td><td>36</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>71</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>7</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (14)</td><td>WholeStageCodegen (14)</td><td>5.44</td><td>1222545</td><td>5</td><td>true</td><td>39</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>6:7:8:9:10:11:12:13:14:15:16:17:18</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (10)</td><td>WholeStageCodegen (10)</td><td>2.9</td><td>635</td><td>50</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>51:52:53</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>618</td><td>39</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>82</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1696</td><td>75</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>807</td><td>79</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1710</td><td>47</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>13</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1661</td><td>34</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>8.0</td><td>1044148</td><td>25</td><td>true</td><td>38</td><td>Sort</td><td>26</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1661</td><td>63</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>2.9</td><td>637</td><td>35</td><td>true</td><td>34</td><td>Project:Filter:ColumnarToRow</td><td>36:37:38</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1710</td><td>62</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>65</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>40:41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>66</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>60</td><td>false</td><td>37</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>33</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>9973</td><td>21</td><td>true</td><td>38:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>78</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1680</td><td>32</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.8</td><td>61763</td><td>28</td><td>true</td><td>35</td><td>Filter:ColumnarToRow</td><td>29:30</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>41</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230506-0031</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>48</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Window</td><td>null</td><td>3.0</td><td>0</td><td>5</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>10</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>22</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>297</td><td>42</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>496</td><td>47</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>4.5</td><td>170171</td><td>9</td><td>true</td><td>35</td><td>HashAggregate</td><td>10</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>26</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>7</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>35</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209232634-0070</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>39</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>33</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>46</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>3.95</td><td>1233966</td><td>12</td><td>true</td><td>34</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>13:14:15:16:17:18:19:26:27</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>84261</td><td>11</td><td>true</td><td>34:35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>3044</td><td>21</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>22:23:24</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1460</td><td>43</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1121</td><td>29</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.8</td><td>502</td><td>44</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>45:46</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>8.0</td><td>134574</td><td>6</td><td>true</td><td>36</td><td>Sort</td><td>7</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1110</td><td>31</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>17</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>41</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>36:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>40</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>32</td><td>8</td><td>true</td><td>35:36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>3</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>316</td><td>38</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>39:40:41</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>30</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>15</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>19</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>316</td><td>32</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>33:34:35</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>23</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>27</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>297</td><td>36</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>45</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>16</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1726</td><td>20</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>24</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>14</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>18</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>4</td><td>false</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>651253</td><td>28</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>13</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>2.0</td><td>5621</td><td>2</td><td>true</td><td>36</td><td>Project:Filter</td><td>3:4</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1110</td><td>37</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>2913</td><td>25</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>34</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209232634-0070</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.8</td><td>465</td><td>37</td><td>true</td><td>33</td><td>Filter:ColumnarToRow</td><td>38:39</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1608</td><td>17</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>13</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>4241</td><td>4</td><td>true</td><td>34:35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>39</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209225845-0026</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>687</td><td>24</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>11</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>70247</td><td>16</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>8</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>3.84</td><td>443046</td><td>5</td><td>true</td><td>34</td><td>HashAggregate:Expand:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>6:7:8:9:10:11:12:13:14:15</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>10</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>28</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>12</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>38</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>21</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.8</td><td>2544</td><td>32</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>33:34</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>14</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>9</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>29</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209225845-0026</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>687</td><td>30</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>2329</td><td>35</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>18</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Expand</td><td>null</td><td>3.0</td><td>0</td><td>7</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1587</td><td>19</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1326</td><td>36</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>22</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>27</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>23</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>33</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1587</td><td>25</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>35:36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>34</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209225845-0026</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>4.5</td><td>472310</td><td>2</td><td>true</td><td>35</td><td>HashAggregate</td><td>3</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1905</td><td>31</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>707</td><td>26</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>27:28:29</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>15</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>707</td><td>20</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>21:22:23</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>462</td><td>40</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209225845-0026</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>5.17</td><td>215</td><td>2</td><td>true</td><td>36</td><td>Project:Sort:HashAggregate</td><td>3:4:5</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>10</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>9</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>12</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>35</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1307</td><td>19</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>23</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235526-0103</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>17</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235526-0103</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>1051436</td><td>18</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>27</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>8</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1470</td><td>31</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>605</td><td>36</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>16</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1146</td><td>25</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>283</td><td>30</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>21</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>29</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209235526-0103</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>15</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>34</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>28</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>AdaptiveSparkPlan</td><td>null</td><td>1.0</td><td>0</td><td>1</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>4</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>14</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>492</td><td>24</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>498</td><td>20</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>21:22:23</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>3.84</td><td>1577328</td><td>7</td><td>true</td><td>34</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:Filter:ColumnarToRow</td><td>8:9:10:11:12:13:14:15:16:17</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>13</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>33</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>303</td><td>26</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>27:28:29</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>22</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>5</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>610</td><td>32</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>33:34:35</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>2298</td><td>6</td><td>true</td><td>34:36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209235526-0103</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>3</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>511</td><td>24</td><td>true</td><td>34:36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>298</td><td>36</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>33</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>8.0</td><td>13538935</td><td>22</td><td>true</td><td>36</td><td>Sort</td><td>23</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>19</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>2.9</td><td>316</td><td>48</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>49:50:51</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>44</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>285</td><td>46</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>45</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1208</td><td>31</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>14</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>13</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>34</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>40</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>146476</td><td>17</td><td>true</td><td>35:36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>27</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>298</td><td>52</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1234</td><td>29</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>6.06</td><td>7555734</td><td>5</td><td>true</td><td>36</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>6:7:8:9:10:11:12:13:14</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>9</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>26</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.8</td><td>76352</td><td>25</td><td>true</td><td>34</td><td>Filter:ColumnarToRow</td><td>26:27</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>37:38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>39</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>35</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>289</td><td>41</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>1492</td><td>4</td><td>true</td><td>36:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>2.8</td><td>313</td><td>43</td><td>true</td><td>31</td><td>Filter:ColumnarToRow</td><td>44:45</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>8.0</td><td>21803</td><td>15</td><td>true</td><td>36</td><td>Sort</td><td>16</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>2.8</td><td>302</td><td>38</td><td>true</td><td>33</td><td>Filter:ColumnarToRow</td><td>39:40</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>20</td><td>false</td><td>35</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>16</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>10</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>47653</td><td>28</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1208</td><td>47</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1214</td><td>37</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>1472681</td><td>21</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>23</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>30</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>12</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>2.9</td><td>316</td><td>32</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>33:34:35</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>51</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>8</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>49</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1258</td><td>42</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>7</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>4.5</td><td>84122</td><td>2</td><td>true</td><td>37</td><td>HashAggregate</td><td>3</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>50</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231919-0057</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.8</td><td>4414001</td><td>18</td><td>true</td><td>35</td><td>Filter:ColumnarToRow</td><td>19:20</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>14</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>4.5</td><td>80450</td><td>2</td><td>true</td><td>34</td><td>HashAggregate</td><td>3</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>10</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1432</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1442</td><td>20</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1461</td><td>21</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>23</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>17</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>24</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>25</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231533-0050</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>546</td><td>16</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>720290</td><td>19</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>2.9</td><td>661</td><td>22</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>23:24:25</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>34:35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>18</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>8</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>13</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>15</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209231533-0050</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>652</td><td>26</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>3.92</td><td>1409729</td><td>5</td><td>true</td><td>33</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>6:7:8:9:10:17:18</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>9</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>566</td><td>12</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>13:14:15</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>7</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>11542</td><td>4</td><td>true</td><td>33:34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209231533-0050</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>3.75</td><td>0</td><td>3</td><td>true</td><td>6</td><td>HashAggregate:Project</td><td>4:5</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>0</td><td>CollectLimit</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>4.5</td><td>0</td><td>0</td><td>true</td><td>7</td><td>HashAggregate</td><td>1</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>1</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>0</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>null</td><td>Project</td><td>2</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>1</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>1</td><td>Project</td><td>1</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>Exchange</td><td>null</td><td>4.2</td><td>0</td><td>6</td><td>true</td><td>5</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>1</td><td>true</td><td>4</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>6</td><td>true</td><td>3</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>4</td><td>true</td><td>3</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>1</td><td>Scan hive ecomm_ops_tables.s0s0jzb_browse_shelf_cat_map</td><td>null</td><td>1.0</td><td>0</td><td>2</td><td>false</td><td>1</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod</td><td>null</td><td>1.0</td><td>0</td><td>8</td><td>false</td><td>2</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>0</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>2</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>4</td><td>true</td><td>6</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>1</td><td>true</td><td>7</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod</td><td>null</td><td>1.0</td><td>0</td><td>7</td><td>false</td><td>5</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>5</td><td>true</td><td>3</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>0</td><td>Scan hive ecomm_ops_tables.zzz_dart_browse_ads_prod_mod</td><td>null</td><td>1.0</td><td>0</td><td>3</td><td>false</td><td>0</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>4.5</td><td>0</td><td>0</td><td>true</td><td>4</td><td>HashAggregate</td><td>1</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>5</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>Exchange</td><td>null</td><td>4.2</td><td>0</td><td>2</td><td>true</td><td>3</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>WholeStageCodegen</td><td>WholeStageCodegen</td><td>4.5</td><td>0</td><td>3</td><td>true</td><td>3</td><td>HashAggregate:HashAggregate:HashAggregate</td><td>4:5:6</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>2</td><td>Exchange</td><td>null</td><td>4.2</td><td>0</td><td>7</td><td>true</td><td>2</td><td>null</td><td>null</td><td>false</td></tr><tr><td>application_1665146417445_0002</td><td>3</td><td>Exchange</td><td>null</td><td>4.2</td><td>0</td><td>2</td><td>true</td><td>6</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>36304</td><td>36</td><td>true</td><td>49:50</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>1648</td><td>96</td><td>true</td><td>37:38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (35)</td><td>WholeStageCodegen (35)</td><td>8.0</td><td>9740356</td><td>227</td><td>true</td><td>52</td><td>Sort</td><td>228</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>155</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>204</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>143</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>72</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>3.43</td><td>332556</td><td>37</td><td>true</td><td>49</td><td>Project:Filter:HashAggregate</td><td>38:39:40</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (32)</td><td>WholeStageCodegen (32)</td><td>3.0</td><td>334418</td><td>172</td><td>true</td><td>44</td><td>Project</td><td>173</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1605</td><td>51</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>43</td><td>true</td><td>47</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>30</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>17</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>108</td><td>202</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>8779</td><td>181</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>62</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>224</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>8.0</td><td>570738</td><td>19</td><td>true</td><td>50</td><td>Sort</td><td>20</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>225</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>223</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>309</td><td>177</td><td>true</td><td>41:44</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>3.0</td><td>0</td><td>1</td><td>true</td><td>53:54</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (15)</td><td>WholeStageCodegen (15)</td><td>2.8</td><td>21724</td><td>137</td><td>true</td><td>45</td><td>Filter:ColumnarToRow</td><td>138:139</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>12</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (23)</td><td>WholeStageCodegen (23)</td><td>6.96</td><td>29347</td><td>6</td><td>true</td><td>51</td><td>HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>7:8:9:10:11</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>2.8</td><td>2258</td><td>215</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>216:217</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>241</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>228</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>236</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>189</td><td>true</td><td>42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>287</td><td>33</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>157</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>193</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>46</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.8</td><td>15333</td><td>22</td><td>true</td><td>48</td><td>Filter:ColumnarToRow</td><td>23:24</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (42)</td><td>WholeStageCodegen (42)</td><td>8.0</td><td>7107509</td><td>242</td><td>true</td><td>52</td><td>Sort</td><td>243</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>233</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>49</td><td>false</td><td>47</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>8.0</td><td>7271900</td><td>120</td><td>true</td><td>37</td><td>Sort</td><td>121</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>48</td><td>true</td><td>47</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>8368</td><td>15</td><td>true</td><td>50:51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1206</td><td>127</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (26)</td><td>WholeStageCodegen (26)</td><td>8.0</td><td>616179</td><td>175</td><td>true</td><td>44</td><td>Sort</td><td>176</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>163</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>239</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>235</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (21)</td><td>WholeStageCodegen (21)</td><td>5.67</td><td>1192790</td><td>141</td><td>true</td><td>51</td><td>Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin</td><td>142:143:144:145:146:147:148</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>226</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>104</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>118</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>548</td><td>60</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>61:62:63</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>165</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>67</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1152</td><td>28</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>146</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>20</td><td>true</td><td>50</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.9</td><td>48</td><td>203</td><td>true</td><td>39</td><td>Project:Filter:ColumnarToRow</td><td>204:205:206</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>106</td><td>5</td><td>true</td><td>51:53</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>6954</td><td>171</td><td>true</td><td>44:52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>2038</td><td>69</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1925</td><td>214</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>173</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (47)</td><td>WholeStageCodegen (47)</td><td>6.96</td><td>58082</td><td>162</td><td>true</td><td>52</td><td>HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>163:164:165:166:167</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (13)</td><td>WholeStageCodegen (13)</td><td>8.0</td><td>7684689</td><td>86</td><td>true</td><td>51</td><td>Sort</td><td>87</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>176</td><td>true</td><td>44</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>190</td><td>true</td><td>42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>152</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1596</td><td>53</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>55</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>3.92</td><td>4787686</td><td>192</td><td>true</td><td>40</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>193:194:195:196:197:198:199</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>2.9</td><td>341</td><td>115</td><td>true</td><td>34</td><td>Project:Filter:ColumnarToRow</td><td>116:117:118</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>221</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (38)</td><td>WholeStageCodegen (38)</td><td>5.67</td><td>15748975</td><td>219</td><td>true</td><td>52</td><td>Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin</td><td>220:221:222:223:224:225:226</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>167</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (10)</td><td>WholeStageCodegen (10)</td><td>2.9</td><td>1629090</td><td>81</td><td>true</td><td>46</td><td>Project:Filter:ColumnarToRow</td><td>82:83:84</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>31</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>133</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>2038</td><td>218</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>3.0</td><td>317013</td><td>16</td><td>true</td><td>50</td><td>Project</td><td>17</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>102</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Union</td><td>null</td><td>3.0</td><td>0</td><td>2</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (45)</td><td>WholeStageCodegen (45)</td><td>5.67</td><td>579620</td><td>234</td><td>true</td><td>52</td><td>Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin</td><td>235:236:237:238:239:240:241</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>95</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>230</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>57306</td><td>107</td><td>true</td><td>35:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1152</td><td>153</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>75</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>525</td><td>64</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>231</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>142</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>212</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1596</td><td>208</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>210</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>91</td><td>false</td><td>43</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>2.8</td><td>2258</td><td>66</td><td>true</td><td>32</td><td>Filter:ColumnarToRow</td><td>67:68</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>179</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>79</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>1128383</td><td>111</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>73</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>2.9</td><td>341</td><td>128</td><td>true</td><td>34</td><td>Project:Filter:ColumnarToRow</td><td>129:130:131</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>245</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>24</td><td>false</td><td>48</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>195</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>18</td><td>true</td><td>50</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>4</td><td>false</td><td>53</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>196</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1212</td><td>112</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>144</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>374</td><td>136</td><td>true</td><td>45:52:51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>98</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>216</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>3.0</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>74225</td><td>80</td><td>true</td><td>46:52:51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1596</td><td>59</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>8.0</td><td>265322</td><td>34</td><td>true</td><td>50</td><td>Sort</td><td>35</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>64</td><td>161</td><td>true</td><td>52:53</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>84</td><td>false</td><td>46</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>166</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>138</td><td>true</td><td>45</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>76</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>148</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>36854</td><td>186</td><td>true</td><td>42:44</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>2.8</td><td>3141204</td><td>108</td><td>true</td><td>35</td><td>Filter:ColumnarToRow</td><td>109:110</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>168</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (11)</td><td>WholeStageCodegen (11)</td><td>8.0</td><td>7736910</td><td>78</td><td>true</td><td>51</td><td>Sort</td><td>79</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>27</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1183</td><td>26</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>125</td><td>false</td><td>36</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>20580</td><td>126</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>525</td><td>213</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (48)</td><td>WholeStageCodegen (48)</td><td>1.0</td><td>3979</td><td>159</td><td>false</td><td>53</td><td>HashAggregate</td><td>160</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>106</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>205</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>8</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>7</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (14)</td><td>WholeStageCodegen (14)</td><td>5.67</td><td>13085436</td><td>70</td><td>true</td><td>51</td><td>Sort:Project:Filter:HashAggregate:HashAggregate:Project:SortMergeJoin</td><td>71:72:73:74:75:76:77</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>145</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>129</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>110</td><td>false</td><td>35</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (33)</td><td>WholeStageCodegen (33)</td><td>8.0</td><td>1156186</td><td>169</td><td>true</td><td>52</td><td>Sort</td><td>170</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>34850</td><td>41</td><td>true</td><td>47:49</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>32</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>124</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>10</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>238</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>101</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>71</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1925</td><td>65</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>23</td><td>true</td><td>48</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>1183</td><td>182</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>170</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>45</td><td>true</td><td>47</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>180</td><td>false</td><td>41</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>40</td><td>true</td><td>49</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>73193</td><td>50</td><td>true</td><td>47</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (40)</td><td>WholeStageCodegen (40)</td><td>8.0</td><td>0</td><td>232</td><td>true</td><td>52</td><td>Sort</td><td>233</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>198</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>7362</td><td>25</td><td>true</td><td>48</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>240</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>211</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>121</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (18)</td><td>WholeStageCodegen (18)</td><td>8.0</td><td>5641193</td><td>149</td><td>true</td><td>51</td><td>Sort</td><td>150</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>117</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (22)</td><td>WholeStageCodegen (22)</td><td>2.9</td><td>305</td><td>154</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>155:156:157</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>11173</td><td>140</td><td>true</td><td>45</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1206</td><td>114</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>68</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>156</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>525</td><td>58</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>220</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>174</td><td>true</td><td>44</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>361088</td><td>85</td><td>true</td><td>46</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>8.0</td><td>319031</td><td>13</td><td>true</td><td>51</td><td>Sort</td><td>14</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>35</td><td>true</td><td>50</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>87</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>99</td><td>false</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>9723</td><td>92</td><td>true</td><td>43</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>5.76</td><td>7077480</td><td>97</td><td>true</td><td>37</td><td>HashAggregate:HashAggregate:HashAggregate:Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>98:99:100:101:102:103:104</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (22)</td><td>WholeStageCodegen (22)</td><td>2.9</td><td>305</td><td>29</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>30:31:32</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>47</td><td>true</td><td>47</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>188</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (12)</td><td>WholeStageCodegen (12)</td><td>2.8</td><td>14372</td><td>89</td><td>true</td><td>43</td><td>Filter:ColumnarToRow</td><td>90:91</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>3.0</td><td>108</td><td>201</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>82</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>217</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>222</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>130</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>11</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>116</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>52</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>39</td><td>true</td><td>49</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>194</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.8</td><td>27817</td><td>123</td><td>true</td><td>36</td><td>Filter:ColumnarToRow</td><td>124:125</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>83</td><td>true</td><td>46</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>164</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>8.0</td><td>7610479</td><td>105</td><td>true</td><td>37</td><td>Sort</td><td>106</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>24920</td><td>191</td><td>true</td><td>40:42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>109</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>103</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>237</td><td>false</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>57</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>139</td><td>false</td><td>45</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>131</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>63</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (25)</td><td>WholeStageCodegen (25)</td><td>2.8</td><td>15032</td><td>178</td><td>true</td><td>41</td><td>Filter:ColumnarToRow</td><td>179:180</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>206</td><td>false</td><td>39</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>77</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>124</td><td>122</td><td>true</td><td>36:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (37)</td><td>WholeStageCodegen (37)</td><td>8.0</td><td>9684161</td><td>229</td><td>true</td><td>52</td><td>Sort</td><td>230</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>199</td><td>false</td><td>40</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>150</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>147</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (24)</td><td>WholeStageCodegen (24)</td><td>1.0</td><td>15386</td><td>3</td><td>false</td><td>53</td><td>HashAggregate</td><td>4</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>548</td><td>209</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>210:211:212</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>287</td><td>158</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>74</td><td>false</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>113</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Subquery</td><td>null</td><td>1.0</td><td>0</td><td>93</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>152</td><td>88</td><td>true</td><td>43:52:51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>135</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>38</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>160</td><td>false</td><td>53</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>324</td><td>132</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (20)</td><td>WholeStageCodegen (20)</td><td>8.0</td><td>5632344</td><td>151</td><td>true</td><td>51</td><td>Sort</td><td>152</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>104034</td><td>200</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (31)</td><td>WholeStageCodegen (31)</td><td>8.0</td><td>280275</td><td>183</td><td>true</td><td>44</td><td>Sort</td><td>184</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>819</td><td>21</td><td>true</td><td>48:50</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>2.9</td><td>548</td><td>54</td><td>true</td><td>33</td><td>Project:Filter:ColumnarToRow</td><td>55:56:57</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>4.5</td><td>9</td><td>94</td><td>true</td><td>38</td><td>HashAggregate</td><td>95</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>90</td><td>true</td><td>43</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>31</td><td>207</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>185</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>3.92</td><td>4849898</td><td>42</td><td>true</td><td>47</td><td>HashAggregate:Project:BroadcastHashJoin:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>43:44:45:46:47:48:49</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>243</td><td>true</td><td>52</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>HashAggregate</td><td>null</td><td>1.0</td><td>0</td><td>100</td><td>false</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>197</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>3.43</td><td>329696</td><td>187</td><td>true</td><td>42</td><td>Project:Filter:HashAggregate</td><td>188:189:190</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>184</td><td>true</td><td>44</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>324</td><td>119</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>56</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>14</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>9</td><td>true</td><td>51</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>61</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (16)</td><td>WholeStageCodegen (16)</td><td>8.0</td><td>0</td><td>134</td><td>true</td><td>51</td><td>Sort</td><td>135</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>44</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230053-0028</td><td>24</td><td>WholeStageCodegen (44)</td><td>WholeStageCodegen (44)</td><td>8.0</td><td>7091464</td><td>244</td><td>true</td><td>52</td><td>Sort</td><td>245</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (19)</td><td>WholeStageCodegen (19)</td><td>2.8</td><td>113485</td><td>82</td><td>true</td><td>40</td><td>Filter:ColumnarToRow</td><td>83:84</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>5</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>23</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>39</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>57</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>90</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>17</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>9398</td><td>53</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>8927</td><td>91</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>34</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>5.09</td><td>0</td><td>4</td><td>true</td><td>42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1494</td><td>35</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>55</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>71</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (11)</td><td>WholeStageCodegen (11)</td><td>8.0</td><td>625159</td><td>67</td><td>true</td><td>35</td><td>Sort</td><td>68</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Scan parquet </td><td>null</td><td>3.0</td><td>62819</td><td>85</td><td>true</td><td>40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>10.07</td><td>1910905</td><td>20</td><td>true</td><td>37</td><td>HashAggregate:Project:SortMergeJoin</td><td>21:22:23</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Filter</td><td>null</td><td>1.0</td><td>0</td><td>56</td><td>false</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>22.7</td><td>0</td><td>66</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>14</td><td>true</td><td>41</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>61</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>25</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Sort</td><td>null</td><td>8.0</td><td>0</td><td>8</td><td>true</td><td>42</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>3</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (14)</td><td>WholeStageCodegen (14)</td><td>10.07</td><td>541305</td><td>63</td><td>true</td><td>35</td><td>HashAggregate:Project:SortMergeJoin</td><td>64:65:66</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>22</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>52</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>3.65</td><td>356825</td><td>16</td><td>true</td><td>38</td><td>Filter:HashAggregate</td><td>17:18</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Filter</td><td>null</td><td>2.8</td><td>0</td><td>89</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>3.63</td><td>404429</td><td>27</td><td>true</td><td>36</td><td>Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>28:29:30:31</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>3.0</td><td>1494</td><td>41</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>65</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>21</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Project</td><td>null</td><td>3.0</td><td>0</td><td>37</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (18)</td><td>WholeStageCodegen (18)</td><td>8.0</td><td>438264</td><td>7</td><td>true</td><td>42</td><td>Sort</td><td>8</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>0</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>Exchange</td><td>null</td><td>4.2</td><td>91525</td><td>69</td><td>true</td><td>34:35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>HashAggregate</td><td>null</td><td>4.5</td><td>0</td><td>64</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209230750-0036</td><td>24</td><td>WholeStageCodegen (5)</td><td>WholeStageCodegen (5)</td><td>8.0</td><td>1769290</td><td>47</td><td>true</td><td>37</td><td>Sort</td><td>48</td><td>false</td></tr></tbody></table>Showing the first 1000 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CreateViewCommand",null,1,0,0,false,null,null,null,false],["app-20220209230750-0036",24,"Exchange",null,4.2,91525,69,true,"34:35",null,null,false],["app-20220209230750-0036",24,"HashAggregate",null,4.5,0,64,true,"35",null,null,false],["app-20220209230750-0036",24,"WholeStageCodegen (5)","WholeStageCodegen (5)",8,1769290,47,true,"37","Sort","48",false]],"datasetInfos":[],"dbfsResultPath":null,"isJsonSchema":true,"metadata":{},"overflow":true,"plotOptions":{"customPlotOptions":{},"displayType":"table","pivotAggregation":null,"pivotColumns":null,"xColumns":null,"yColumns":null},"removedWidgets":[],"schema":[{"metadata":"{}","name":"App ID","type":"\"string\""},{"metadata":"{}","name":"SQL ID","type":"\"long\""},{"metadata":"{}","name":"Exec Name","type":"\"string\""},{"metadata":"{}","name":"Expression Name","type":"\"string\""},{"metadata":"{}","name":"Task Speedup Factor","type":"\"double\""},{"metadata":"{}","name":"Exec Duration","type":"\"long\""},{"metadata":"{}","name":"SQL Node Id","type":"\"long\""},{"metadata":"{}","name":"Exec Is Supported","type":"\"boolean\""},{"metadata":"{}","name":"Exec Stages","type":"\"string\""},{"metadata":"{}","name":"Exec Children","type":"\"string\""},{"metadata":"{}","name":"Exec Children Node Ids","type":"\"string\""},{"metadata":"{}","name":"Exec Should Remove","type":"\"boolean\""}],"type":"table"}},"output_type":"display_data"}],"source":["execs_output=pd.read_csv(outputpath_string + \"/rapids_4_spark_qualification_output/rapids_4_spark_qualification_output_execs.csv\")\n","display(execs_output)"]}],"metadata":{"application/vnd.databricks.v1+notebook":{"dashboards":[{"elements":[],"globalVars":{},"guid":"0ed3c80b-b2f6-4c89-9a92-1af2f168d5ea","layoutOption":{"grid":true,"stack":true},"nuid":"91c1bfb2-695a-4e5c-8a25-848a433108dc","origId":2721260844584915,"title":"Executive View","version":"DashboardViewV1","width":1600},{"elements":[],"globalVars":{},"guid":"ab4cecf9-0471-4fee-aa33-8927bb7e1bb1","layoutOption":{"grid":true,"stack":true},"nuid":"62243296-4562-4f06-90ac-d7a609f19c16","origId":2721260844584916,"title":"App View","version":"DashboardViewV1","width":1920}],"language":"python","notebookMetadata":{"pythonIndentUnit":2,"widgetLayout":[{"breakBefore":false,"name":"log_path","width":551},{"breakBefore":false,"name":"output_path","width":551}]},"notebookName":"[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template","notebookOrigID":2721260844584890,"widgets":{"log_path":{"currentValue":"/dbfs/user1/qualification_logs","nuid":"88986aa6-6e67-4d09-aeeb-7c96ea1ea8f1","widgetInfo":{"defaultValue":"","label":null,"name":"log_path","options":{"validationRegex":null,"widgetType":"text"},"widgetType":"text"}},"output_path":{"currentValue":"/tmp","nuid":"0b9846bd-5c3e-4ae2-ba00-80bb9da1ee32","widgetInfo":{"defaultValue":"","label":null,"name":"output_path","options":{"validationRegex":null,"widgetType":"text"},"widgetType":"text"}}}},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}
-
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "df33c614-2ecc-47a0-8600-bc891681997f",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\n",
+    "\n",
+    "To run the qualification tool, enter the log path that represents the DBFS location of your Spark GPU event logs. Then, select \"Run all\" to execute the notebook. Once the notebook completes, various output tables will appear below. For more options on running the profiling tool, please refer to the [Qualification Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/qualification/quickstart.html#running-the-tool).\n",
+    "\n",
+    "### Note\n",
+    "- Currently, only local or DBFS event log paths are supported.\n",
+    "- The DBFS path must use the File API format. Example: `/dbfs/<path-to-event-log>`.\n",
+    "- Multiple event logs must be comma-separated.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "5e9f5796-46ed-49ac-9d08-c8b98a87c39d",
+     "showTitle": true,
+     "title": "Set Tools Version"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "TOOLS_VER = \"24.06.0\"\n",
+    "print(f\"Using Tools Version: {TOOLS_VER}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "313ee58b-61b3-4010-9d60-d21eceea796c",
+     "showTitle": true,
+     "title": "Install Package"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%pip install spark-rapids-user-tools==$TOOLS_VER > /dev/null"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "acf401a3-12d3-4236-a6c5-8fe8990b153a",
+     "showTitle": true,
+     "title": "Environment Setup"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Initialize variables from widgets\n",
+    "dbutils.widgets.dropdown(\"Cloud Provider\", \"aws\", [\"aws\", \"azure\"])\n",
+    "CSP=dbutils.widgets.get(\"Cloud Provider\")\n",
+    "\n",
+    "dbutils.widgets.text(\"Eventlog Path\", \"/dbfs/user1/qualification_logs\")\n",
+    "EVENTLOG_PATH=dbutils.widgets.get(\"Eventlog Path\")\n",
+    "\n",
+    "dbutils.widgets.text(\"Output Path\", \"/tmp\")\n",
+    "OUTPUT_PATH=dbutils.widgets.get(\"Output Path\")\n",
+    "\n",
+    "# Setup environment variables\n",
+    "os.environ[\"CSP\"] = CSP\n",
+    "os.environ[\"EVENTLOG_PATH\"] = EVENTLOG_PATH\n",
+    "os.environ[\"OUTPUT_PATH\"] = OUTPUT_PATH\n",
+    "\n",
+    "# Setup console output file\n",
+    "CONSOLE_OUTPUT_PATH = os.path.join(OUTPUT_PATH, 'console_output.log')\n",
+    "CONSOLE_ERROR_PATH = os.path.join(OUTPUT_PATH, 'console_error.log')\n",
+    "os.environ['CONSOLE_OUTPUT_PATH'] = CONSOLE_OUTPUT_PATH\n",
+    "os.environ['CONSOLE_ERROR_PATH'] = CONSOLE_ERROR_PATH\n",
+    "print(f'Console output will be stored at {CONSOLE_OUTPUT_PATH} and errors will be stored at {CONSOLE_ERROR_PATH}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "693b5ee0-7500-43f3-b3e2-717fd5468aa8",
+     "showTitle": true,
+     "title": "Run Qualification Tool"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "spark_rapids qualification --platform databricks-$CSP --eventlogs $EVENTLOG_PATH -o $OUTPUT_PATH > $CONSOLE_OUTPUT_PATH 2> $CONSOLE_ERROR_PATH"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "f83af6c8-5a79-4a46-965b-38a4cb621877",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Console Output\n",
+    "Console output shows the top candidates and their estimated GPU speedup.\n",
+    "\n",
+    "**Note**: Use the `--verbose` flag in the command above for more detailed output.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "c61527b7-a21a-492c-bab8-77f83dc5cabf",
+     "showTitle": true,
+     "title": "Show Console Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "cat $CONSOLE_OUTPUT_PATH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "f3c68b28-fc62-40ae-8528-799f3fc7507e",
+     "showTitle": true,
+     "title": "Show Error Log"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%sh\n",
+    "cat $CONSOLE_ERROR_PATH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "05f96ca1-1b08-494c-a12b-7e6cc3dcc546",
+     "showTitle": true,
+     "title": "Parse Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "import shutil\n",
+    "import os\n",
+    "\n",
+    "def extract_file_info(console_output_path, output_base_path):\n",
+    "    try:\n",
+    "        with open(console_output_path, 'r') as file:\n",
+    "            stdout_text = file.read()\n",
+    "        \n",
+    "        # Extract log file location\n",
+    "        location_match = re.search(r\"Location: (.+)\", stdout_text)\n",
+    "        if not location_match:\n",
+    "            raise ValueError(\"Log file location not found in the provided text.\")\n",
+    "        \n",
+    "        log_file_location = location_match.group(1)\n",
+    "        \n",
+    "        # Extract qualification output folder\n",
+    "        qual_match = re.search(r\"qual_[^/]+(?=\\.log)\", log_file_location)\n",
+    "        if not qual_match:\n",
+    "            raise ValueError(\"Output folder not found in the log file location.\")\n",
+    "        \n",
+    "        output_folder_name = qual_match.group(0)\n",
+    "        output_folder = os.path.join(output_base_path, output_folder_name)\n",
+    "        return output_folder, log_file_location\n",
+    "    \n",
+    "    except Exception as e:\n",
+    "        raise RuntimeError(f\"Cannot parse console output. Reason: {e}\")\n",
+    "\n",
+    "def copy_logs(destination_folder, *log_files):\n",
+    "    try:\n",
+    "        log_folder = os.path.join(destination_folder, \"logs\")\n",
+    "        os.makedirs(log_folder, exist_ok=True)\n",
+    "        \n",
+    "        for log_file in log_files:\n",
+    "            if os.path.exists(log_file):\n",
+    "                shutil.copy2(log_file, log_folder)\n",
+    "            else:\n",
+    "                print(f\"Log file not found: {log_file}\")\n",
+    "    except Exception as e:\n",
+    "        raise RuntimeError(f\"Cannot copy logs to output. Reason: {e}\")\n",
+    "\n",
+    "try:\n",
+    "    output_folder, log_file_location = extract_file_info(CONSOLE_OUTPUT_PATH, OUTPUT_PATH)\n",
+    "    print(f\"Output folder detected {output_folder}\")\n",
+    "    copy_logs(output_folder, log_file_location, CONSOLE_OUTPUT_PATH, CONSOLE_ERROR_PATH)\n",
+    "    print(f\"Logs successfully copied to {output_folder}\")\n",
+    "except Exception as e:\n",
+    "    print(e)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "8c65adcd-a933-482e-a50b-d40fa8f50e16",
+     "showTitle": true,
+     "title": "Download Output"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import shutil\n",
+    "import os\n",
+    "import re\n",
+    "\n",
+    "current_working_directory = os.getcwd()\n",
+    "\n",
+    "def create_destination_folders(folder_name):\n",
+    "    os.makedirs(folder_name, exist_ok=True)\n",
+    "    base_download_folder_path = os.path.join(\"/dbfs/FileStore/\", folder_name)\n",
+    "    os.makedirs(base_download_folder_path, exist_ok=True) \n",
+    "    return base_download_folder_path\n",
+    "\n",
+    "def create_download_link(source_folder, destination_folder_name):\n",
+    "    folder_to_compress = os.path.basename(source_folder)\n",
+    "    zip_file_name = folder_to_compress + '.zip'\n",
+    "    local_zip_file_path = os.path.join(current_working_directory, destination_folder_name, zip_file_name)\n",
+    "    download_folder_path = os.path.join(destination_folder_name, zip_file_name)\n",
+    "    try:\n",
+    "        base_download_folder_path = create_destination_folders(destination_folder_name)\n",
+    "        shutil.make_archive(folder_to_compress, 'zip', source_folder)\n",
+    "        shutil.copy2(zip_file_name, base_download_folder_path)\n",
+    "        if os.path.exists(local_zip_file_path):\n",
+    "            os.remove(local_zip_file_path)\n",
+    "        shutil.move(zip_file_name, local_zip_file_path)\n",
+    "    \n",
+    "        download_button_html = f\"\"\"\n",
+    "        <style>\n",
+    "            .download-btn {{\n",
+    "                display: inline-block;\n",
+    "                padding: 10px 20px;\n",
+    "                font-size: 16px;\n",
+    "                color: white;\n",
+    "                background-color: #4CAF50;\n",
+    "                text-align: center;\n",
+    "                text-decoration: none;\n",
+    "                border-radius: 5px;\n",
+    "                border: none;\n",
+    "                cursor: pointer;\n",
+    "                margin: 15px auto;\n",
+    "            }}\n",
+    "            .download-btn:hover {{\n",
+    "                background-color: #45a049;\n",
+    "            }}\n",
+    "            .button-container {{\n",
+    "                display: flex;\n",
+    "                justify-content: center;\n",
+    "                align-items: center;\n",
+    "            }}\n",
+    "        </style>\n",
+    "        \n",
+    "        <div style=\"color: #444; font-size: 14px; text-align: center; margin: 10px;\">\n",
+    "            Zipped output file created at {local_zip_file_path}\n",
+    "        </div>\n",
+    "        <div class='button-container'>\n",
+    "            <a href='/files/{download_folder_path}' class='download-btn'>Download Output</a>\n",
+    "        </div>\n",
+    "        \"\"\"\n",
+    "        displayHTML(download_button_html)\n",
+    "    except Exception as e:\n",
+    "        error_message_html = f\"\"\"\n",
+    "        <div style=\"color: red; text-align: center; margin: 20px;\">\n",
+    "            <strong>Error:</strong> Cannot create download link for {source_folder}. Reason: {e}\n",
+    "        </div>\n",
+    "        \"\"\"\n",
+    "        displayHTML(error_message_html)\n",
+    "\n",
+    "destination_folder_name = \"Tools_Output\"\n",
+    "create_download_link(output_folder, destination_folder_name)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "\n",
+    "## Summary Output\n",
+    "\n",
+    "The report provides a comprehensive overview of the entire application execution, estimated speedup, including unsupported operators and non-SQL operations. By default, the applications and queries are sorted in descending order based on the following fields:\n",
+    "\n",
+    "- Estimated GPU Speedup Category\n",
+    "- Estimated GPU Speedup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "b8bca4a6-16d8-4b60-ba7b-9aff64bdcaa1",
+     "showTitle": true,
+     "title": "qualification_summary.csv"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "summary_output=pd.read_csv(os.path.join(output_folder, \"qualification_summary.csv\"))\n",
+    "display(summary_output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "6756159b-30ca-407a-ab6b-9c29ced01ea6",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Stages Output\n",
+    "\n",
+    "For each stage used in SQL operations, the Qualification tool generates the following information:\n",
+    "\n",
+    "1. App ID\n",
+    "2. Stage ID\n",
+    "3. Average Speedup Factor: The average estimated speed-up of all the operators in the given stage.\n",
+    "4. Stage Task Duration: The amount of time spent in tasks of SQL DataFrame operations for the given stage.\n",
+    "5. Unsupported Task Duration: The sum of task durations for the unsupported operators. For more details, see [Supported Operators](https://nvidia.github.io/spark-rapids/docs/supported_ops.html).\n",
+    "6. Stage Estimated: Indicates if the stage duration had to be estimated (True or False).\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "cdde6177-db5f-434a-995b-776678a64a3a",
+     "showTitle": true,
+     "title": "rapids_4_spark_qualification_output_stages.csv"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "jar_output_folder = os.path.join(output_folder, \"rapids_4_spark_qualification_output\")\n",
+    "stages_output=pd.read_csv(os.path.join(jar_output_folder, \"rapids_4_spark_qualification_output_stages.csv\"))\n",
+    "display(stages_output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f",
+     "showTitle": false,
+     "title": ""
+    }
+   },
+   "source": [
+    "## Execs Output\n",
+    "\n",
+    "The 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](https://nvidia.github.io/spark-rapids/docs/supported_ops.html) for more details on limitations on UDFs and unsupported operators.\n",
+    "\n",
+    "1. App ID\n",
+    "2. SQL ID\n",
+    "3. Exec Name: Example: Filter, HashAggregate\n",
+    "4. Expression Name\n",
+    "5. Task Speedup Factor: 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.\n",
+    "6. Exec Duration: Wall-clock time measured from when the operator starts until it is completed.\n",
+    "7. SQL Node ID\n",
+    "8. Exec Is Supported: Indicates whether the Exec is supported by RAPIDS. Refer to the Supported Operators section for details.\n",
+    "9. Exec Stages: An array of stage IDs.\n",
+    "10. Exec Children\n",
+    "11. Exec Children Node IDs\n",
+    "12. Exec Should Remove: Indicates whether the Op is removed from the migrated plan.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "998b0c51-0cb6-408e-a01a-d1f5b1a61e1f",
+     "showTitle": true,
+     "title": "rapids_4_spark_qualification_output_execs"
+    },
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "execs_output=pd.read_csv(os.path.join(jar_output_folder, \"rapids_4_spark_qualification_output_execs.csv\"))\n",
+    "display(execs_output)"
+   ]
+  }
+ ],
+ "metadata": {
+  "application/vnd.databricks.v1+notebook": {
+   "dashboards": [
+    {
+     "elements": [],
+     "globalVars": {},
+     "guid": "",
+     "layoutOption": {
+      "grid": true,
+      "stack": true
+     },
+     "nuid": "91c1bfb2-695a-4e5c-8a25-848a433108dc",
+     "origId": 825198511668429,
+     "title": "Executive View",
+     "version": "DashboardViewV1",
+     "width": 1600
+    },
+    {
+     "elements": [],
+     "globalVars": {},
+     "guid": "",
+     "layoutOption": {
+      "grid": true,
+      "stack": true
+     },
+     "nuid": "62243296-4562-4f06-90ac-d7a609f19c16",
+     "origId": 825198511668430,
+     "title": "App View",
+     "version": "DashboardViewV1",
+     "width": 1920
+    }
+   ],
+   "environmentMetadata": null,
+   "language": "python",
+   "notebookMetadata": {
+    "mostRecentlyExecutedCommandWithImplicitDF": {
+     "commandId": 825198511668420,
+     "dataframes": [
+      "_sqldf"
+     ]
+    },
+    "pythonIndentUnit": 2,
+    "widgetLayout": [
+     {
+      "breakBefore": false,
+      "name": "Cloud Provider",
+      "width": 183
+     },
+     {
+      "breakBefore": false,
+      "name": "Eventlog Path",
+      "width": 728
+     },
+     {
+      "breakBefore": false,
+      "name": "Output Path",
+      "width": 232
+     }
+    ]
+   },
+   "notebookName": "[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template",
+   "widgets": {
+    "Cloud Provider": {
+     "currentValue": "aws",
+     "nuid": "8dddcaf7-104e-4247-b811-ff7a133b28d4",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "dropdown",
+      "defaultValue": "aws",
+      "label": null,
+      "name": "Cloud Provider",
+      "options": {
+       "widgetType": "dropdown",
+       "autoCreated": null,
+       "choices": [
+        "aws",
+        "azure"
+       ]
+      }
+     }
+    },
+    "Eventlog Path": {
+     "currentValue": "/dbfs/user1/qualification_logs",
+     "nuid": "1272501d-5ad9-42be-ab62-35768b2fc384",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "text",
+      "defaultValue": "/dbfs/user1/qualification_logs",
+      "label": null,
+      "name": "Eventlog Path",
+      "options": {
+       "widgetType": "text",
+       "autoCreated": null,
+       "validationRegex": null
+      }
+     }
+    },
+    "Output Path": {
+     "currentValue": "/tmp",
+     "nuid": "ab7e082c-1ef9-4912-8fd7-51bf985eb9c1",
+     "typedWidgetInfo": null,
+     "widgetInfo": {
+      "widgetType": "text",
+      "defaultValue": "/tmp",
+      "label": null,
+      "name": "Output Path",
+      "options": {
+       "widgetType": "text",
+       "autoCreated": null,
+       "validationRegex": null
+      }
+     }
+    }
+   }
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification User Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification User Tool Notebook Template.ipynb
deleted file mode 100644
index 4f1519235..000000000
--- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification User Tool Notebook Template.ipynb	
+++ /dev/null
@@ -1,2252 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "df33c614-2ecc-47a0-8600-bc891681997f",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "source": [
-    "# Welcome to the Qualification User Tool for the RAPIDS Accelerator for Apache Spark\n",
-    "To run the user 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 user tool can be found here: https://docs.nvidia.com/spark-rapids/user-guide/latest/spark-qualification-tool.html#running-the-qualification-tool-standalone-for-csp-environments-on-spark-event-logs.\n",
-    "\n",
-    "## Summary Output\n",
-    "The 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\n",
-    "For each stage used in SQL operations, the Qualification tool generates the following information:\n",
-    "1. App ID\n",
-    "1. Stage ID\n",
-    "1. Average Speedup Factor: the average estimated speed-up of all the operators in the given stage.\n",
-    "1. Stage Task Duration: amount of time spent in tasks of SQL Dataframe operations for the given stage.\n",
-    "1. Unsupported Task Duration: sum of task durations for the unsupported operators. For more details, see Supported Operators.\n",
-    "1. Stage Estimated: True or False indicates if we had to estimate the stage duration.\n",
-    "\n",
-    "## Execs Output\n",
-    "The 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.\n",
-    "1. App ID\n",
-    "1. SQL ID\n",
-    "1. Exec Name: example Filter, HashAggregate\n",
-    "1. Expression Name\n",
-    "1. 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.\n",
-    "1. Exec Duration: wall-Clock time measured since the operator starts till it is completed.\n",
-    "1. SQL Node Id\n",
-    "1. Exec Is Supported: whether the Exec is supported by RAPIDS or not. Please refer to the Supported Operators section.\n",
-    "1. Exec Stages: an array of stage IDs\n",
-    "1. Exec Children\n",
-    "1. Exec Children Node Ids\n",
-    "1. Exec Should Remove: whether the Op is removed from the migrated plan."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "811645aa-ec72-4bd9-8b79-fb1cadf768f8",
-     "showTitle": true,
-     "title": "Environment Setup"
-    },
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Setting up the virtual environment 'databricks_venv'.\nSpark Rapids User Tools installed successfully.\n"
-     ]
-    }
-   ],
-   "source": [
-    "%sh\n",
-    "VENV=\"databricks_venv\"\n",
-    "echo \"Setting up the virtual environment '$VENV'.\"\n",
-    "(apt update && \\\n",
-    "apt install -y python3-venv && \\\n",
-    "python3 -m venv $VENV && \\\n",
-    "source $VENV/bin/activate && \\\n",
-    "echo \"Installing Spark Rapids User Tools\"\n",
-    "pip install spark-rapids-user-tools)  > /dev/null 2>&1 || \\\n",
-    "{ echo \"Error: Failed to install Spark Rapids User Tools\"; exit 1; }\n",
-    "echo \"Spark Rapids User Tools installed successfully.\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "acf401a3-12d3-4236-a6c5-8fe8990b153a",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import pandas as pd\n",
-    "dbutils.widgets.text(\"log_path\", \"\")\n",
-    "eventlog_string=dbutils.widgets.get(\"log_path\")\n",
-    "\n",
-    "dbutils.widgets.text(\"output_path\", \"\")\n",
-    "outputpath_string=dbutils.widgets.get(\"output_path\")\n",
-    "\n",
-    "dbutils.widgets.dropdown(\"csp\", \"aws\", [\"aws\", \"azure\"])\n",
-    "csp_string=dbutils.widgets.get(\"csp\")\n",
-    "\n",
-    "os.environ[\"EVENTLOG_PATH\"] = eventlog_string\n",
-    "os.environ[\"OUTPUT_PATH\"] = outputpath_string\n",
-    "os.environ[\"PLATFORM\"] = f\"databricks-{csp_string}\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
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-     },
-     "inputWidgets": {},
-     "nuid": "693b5ee0-7500-43f3-b3e2-717fd5468aa8",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "outputs": [],
-   "source": [
-    "%sh\n",
-    "source databricks_venv/bin/activate\n",
-    "spark_rapids_user_tools $PLATFORM qualification --eventlogs $EVENTLOG_PATH --local_folder $OUTPUT_PATH --verbose &> $OUTPUT_PATH/qual_debug.log"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "05f96ca1-1b08-494c-a12b-7e6cc3dcc546",
-     "showTitle": true,
-     "title": "Parse Output"
-    },
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
-   "outputs": [],
-   "source": [
-    "log_path = os.path.join(outputpath_string, \"qual_debug.log\")\n",
-    "\n",
-    "try:\n",
-    "    with open(log_path, 'r') as file:\n",
-    "        output_folder = next((line.split(\":\", 1)[1].strip() for line in file if line.startswith(\"Qualification tool output: \")), None)\n",
-    "        if output_folder is None:\n",
-    "            raise ValueError(f\"Cannot find output folder. See logs: {log_path}\")\n",
-    "except FileNotFoundError:\n",
-    "    print(f\"File not found: {log_path}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
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-     },
-     "inputWidgets": {},
-     "nuid": "bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "source": [
-    "## Summary Output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
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-     },
-     "inputWidgets": {},
-     "nuid": "fb8edb26-e173-47ff-92a1-463baec7c06b",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/html": [
-       "<style scoped>\n",
-       "  .table-result-container {\n",
-       "    max-height: 300px;\n",
-       "    overflow: auto;\n",
-       "  }\n",
-       "  table, th, td {\n",
-       "    border: 1px solid black;\n",
-       "    border-collapse: collapse;\n",
-       "  }\n",
-       "  th, td {\n",
-       "    padding: 5px;\n",
-       "  }\n",
-       "  th {\n",
-       "    text-align: left;\n",
-       "  }\n",
-       "</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App Name</th><th>App ID</th><th>Recommendation</th><th>Estimated GPU Speedup</th><th>Estimated GPU Duration</th><th>Estimated GPU Time Saved</th><th>SQL DF Duration</th><th>SQL Dataframe Task Duration</th><th>App Duration</th><th>GPU Opportunity</th><th>Executor CPU Time Percent</th><th>SQL Ids with Failures</th><th>Unsupported Read File Formats and Types</th><th>Unsupported Write Data Format</th><th>Complex Types</th><th>Nested Complex Types</th><th>Potential Problems</th><th>Longest SQL Duration</th><th>NONSQL Task Duration Plus Overhead</th><th>Unsupported Task Duration</th><th>Supported SQL DF Task Duration</th><th>Task Speedup Factor</th><th>App Duration Estimated</th><th>Unsupported Execs</th><th>Unsupported Expressions</th><th>Estimated Job Frequency (monthly)</th></tr></thead><tbody><tr><td>TPC-DS Like Bench q1</td><td>app-20220209224147-0004</td><td>Recommended</td><td>1.4</td><td>22476.58</td><td>9130.41</td><td>13417</td><td>7598550</td><td>31607</td><td>13417</td><td>37.09</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>13412</td><td>3012015</td><td>0</td><td>7598550</td><td>3.13</td><td>false</td><td>Execute CreateViewCommand</td><td>null</td><td>30</td></tr></tbody></table></div>"
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-         "TPC-DS Like Bench q1",
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-         30
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-       ],
-       "datasetInfos": [],
-       "dbfsResultPath": null,
-       "isJsonSchema": true,
-       "metadata": {},
-       "overflow": false,
-       "plotOptions": {
-        "customPlotOptions": {},
-        "displayType": "table",
-        "pivotAggregation": null,
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-        "xColumns": null,
-        "yColumns": null
-       },
-       "removedWidgets": [],
-       "schema": [
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-         "metadata": "{}",
-         "name": "App Name",
-         "type": "\"string\""
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-         "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": "\"double\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Estimated Job Frequency (monthly)",
-         "type": "\"long\""
-        }
-       ],
-       "type": "table"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "summary_output=pd.read_csv(os.path.join(output_folder, \"rapids_4_spark_qualification_output.csv\"))\n",
-    "display(summary_output)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "6756159b-30ca-407a-ab6b-9c29ced01ea6",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "source": [
-    "## Stages Output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
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-     },
-     "inputWidgets": {},
-     "nuid": "cdde6177-db5f-434a-995b-776678a64a3a",
-     "showTitle": false,
-     "title": ""
-    }
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/html": [
-       "<style scoped>\n",
-       "  .table-result-container {\n",
-       "    max-height: 300px;\n",
-       "    overflow: auto;\n",
-       "  }\n",
-       "  table, th, td {\n",
-       "    border: 1px solid black;\n",
-       "    border-collapse: collapse;\n",
-       "  }\n",
-       "  th, td {\n",
-       "    padding: 5px;\n",
-       "  }\n",
-       "  th {\n",
-       "    text-align: left;\n",
-       "  }\n",
-       "</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App ID</th><th>Stage ID</th><th>Average Speedup Factor</th><th>Stage Task Duration</th><th>Unsupported Task Duration</th><th>Stage Estimated</th><th>Number of transitions from or to GPU</th></tr></thead><tbody><tr><td>app-20220209224147-0004</td><td>37</td><td>4.3</td><td>595309</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>32</td><td>2.67</td><td>969</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>36</td><td>3.02</td><td>1631076</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>39</td><td>4.88</td><td>379029</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>33</td><td>2.69</td><td>1141311</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>40</td><td>2.45</td><td>218</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>31</td><td>2.67</td><td>914</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>34</td><td>2.69</td><td>2625437</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>35</td><td>2.93</td><td>1166672</td><td>0</td><td>false</td><td>0</td></tr><tr><td>app-20220209224147-0004</td><td>38</td><td>2.99</td><td>57615</td><td>0</td><td>false</td><td>0</td></tr></tbody></table></div>"
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-         31,
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-         34,
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-         35,
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-         "app-20220209224147-0004",
-         38,
-         2.99,
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-         false,
-         0
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-       ],
-       "datasetInfos": [],
-       "dbfsResultPath": null,
-       "isJsonSchema": true,
-       "metadata": {},
-       "overflow": false,
-       "plotOptions": {
-        "customPlotOptions": {},
-        "displayType": "table",
-        "pivotAggregation": null,
-        "pivotColumns": null,
-        "xColumns": null,
-        "yColumns": null
-       },
-       "removedWidgets": [],
-       "schema": [
-        {
-         "metadata": "{}",
-         "name": "App ID",
-         "type": "\"string\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Stage ID",
-         "type": "\"long\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Average Speedup Factor",
-         "type": "\"double\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Stage Task Duration",
-         "type": "\"long\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Unsupported Task Duration",
-         "type": "\"long\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Stage Estimated",
-         "type": "\"boolean\""
-        },
-        {
-         "metadata": "{}",
-         "name": "Number of transitions from or to GPU",
-         "type": "\"long\""
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-       "type": "table"
-      }
-     },
-     "output_type": "display_data"
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-   ],
-   "source": [
-    "stages_output=pd.read_csv(os.path.join(output_folder, \"rapids_4_spark_qualification_output_stages.csv\"))\n",
-    "display(stages_output)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
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-     "cellMetadata": {
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-     "nuid": "4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f",
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-   },
-   "source": [
-    "## Execs Output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 0,
-   "metadata": {
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-     "showTitle": false,
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-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/html": [
-       "<style scoped>\n",
-       "  .table-result-container {\n",
-       "    max-height: 300px;\n",
-       "    overflow: auto;\n",
-       "  }\n",
-       "  table, th, td {\n",
-       "    border: 1px solid black;\n",
-       "    border-collapse: collapse;\n",
-       "  }\n",
-       "  th, td {\n",
-       "    padding: 5px;\n",
-       "  }\n",
-       "  th {\n",
-       "    text-align: left;\n",
-       "  }\n",
-       "</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>App ID</th><th>SQL ID</th><th>Exec Name</th><th>Expression Name</th><th>Task Speedup Factor</th><th>Exec Duration</th><th>SQL Node Id</th><th>Exec Is Supported</th><th>Exec Stages</th><th>Exec Children</th><th>Exec Children Node Ids</th><th>Exec Should Remove</th></tr></thead><tbody><tr><td>app-20220209224147-0004</td><td>8</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (7)</td><td>WholeStageCodegen (7)</td><td>3.23</td><td>858100</td><td>46</td><td>true</td><td>35</td><td>HashAggregate:HashAggregate</td><td>47:48</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>TakeOrderedAndProject</td><td>null</td><td>2.45</td><td>0</td><td>1</td><td>true</td><td>39:40</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (9)</td><td>WholeStageCodegen (9)</td><td>3.1</td><td>510</td><td>59</td><td>true</td><td>31</td><td>Project:Filter:ColumnarToRow</td><td>60:61:62</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Execute InsertIntoHadoopFsRelationCommand parquet</td><td>null</td><td>2.45</td><td>0</td><td>0</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>20.57</td><td>0</td><td>12</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>5</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>38</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>19429</td><td>70</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Exchange</td><td>null</td><td>2.78</td><td>2423</td><td>45</td><td>true</td><td>35:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>10</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>32</td><td>true</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (6)</td><td>WholeStageCodegen (6)</td><td>3.06</td><td>1579384</td><td>50</td><td>true</td><td>34</td><td>HashAggregate:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>51:52:53:54:55</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>47</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>39</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>3</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>2</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>12</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>62</td><td>false</td><td>31</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>9</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Exchange</td><td>null</td><td>2.78</td><td>34</td><td>7</td><td>true</td><td>37:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>1</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>37</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>16</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (13)</td><td>WholeStageCodegen (13)</td><td>6.11</td><td>5791</td><td>64</td><td>true</td><td>39</td><td>Sort</td><td>65</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>SortMergeJoin</td><td>null</td><td>20.57</td><td>0</td><td>4</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (8)</td><td>WholeStageCodegen (8)</td><td>4.36</td><td>116341</td><td>41</td><td>true</td><td>37</td><td>Sort:Filter:HashAggregate</td><td>42:43:44</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>548</td><td>40</td><td>true</td><td>32</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>44</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (10)</td><td>WholeStageCodegen (10)</td><td>7.07</td><td>179415</td><td>8</td><td>true</td><td>37</td><td>Project:BroadcastHashJoin:Project:SortMergeJoin</td><td>9:10:11:12</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>48</td><td>true</td><td>35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>68</td><td>true</td><td>38</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>774464</td><td>56</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>3.1</td><td>567</td><td>36</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>37:38:39</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>13</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>2.82</td><td>0</td><td>23</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>43</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>33</td><td>false</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>17</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>24</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (12)</td><td>WholeStageCodegen (12)</td><td>3.75</td><td>31944</td><td>67</td><td>true</td><td>38</td><td>Filter:ColumnarToRow</td><td>68:69</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>282864</td><td>26</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>18</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>51</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>2.82</td><td>0</td><td>10</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Sort</td><td>null</td><td>6.11</td><td>0</td><td>65</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (2)</td><td>WholeStageCodegen (2)</td><td>3.06</td><td>833727</td><td>20</td><td>true</td><td>33</td><td>HashAggregate:Project:BroadcastHashJoin:Filter:ColumnarToRow</td><td>21:22:23:24:25</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (3)</td><td>WholeStageCodegen (3)</td><td>3.49</td><td>758269</td><td>16</td><td>true</td><td>36</td><td>Filter:HashAggregate</td><td>17:18</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>2.45</td><td>1463</td><td>35</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>SubqueryBroadcast</td><td>null</td><td>2.45</td><td>1486</td><td>27</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>21</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>18</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>19</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>9</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>52</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>54</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>HashAggregate</td><td>null</td><td>3.23</td><td>0</td><td>21</td><td>true</td><td>33</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>25</td><td>false</td><td>33</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastHashJoin</td><td>null</td><td>2.82</td><td>0</td><td>53</td><td>true</td><td>34</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>2.45</td><td>1424</td><td>58</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>4</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>69</td><td>false</td><td>38</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>22</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>15</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>11</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (1)</td><td>WholeStageCodegen (1)</td><td>1.0</td><td>567</td><td>30</td><td>true</td><td>32</td><td>Project:Filter:ColumnarToRow</td><td>31:32:33</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ReusedExchange</td><td>null</td><td>1.0</td><td>0</td><td>28</td><td>true</td><td>null</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>23</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>506</td><td>63</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>31</td><td>true</td><td>null</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Exchange</td><td>null</td><td>2.78</td><td>7940</td><td>15</td><td>true</td><td>36:37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (14)</td><td>WholeStageCodegen (14)</td><td>11.51</td><td>172810</td><td>2</td><td>true</td><td>39</td><td>Project:SortMergeJoin</td><td>3:4</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>6</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>ColumnarToRow</td><td>null</td><td>1.0</td><td>0</td><td>55</td><td>false</td><td>34</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Sort</td><td>null</td><td>6.11</td><td>0</td><td>42</td><td>true</td><td>37</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Scan parquet</td><td>null</td><td>2.45</td><td>548</td><td>34</td><td>true</td><td>32</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>22</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>11</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (4)</td><td>WholeStageCodegen (4)</td><td>6.11</td><td>412380</td><td>13</td><td>true</td><td>37</td><td>Sort</td><td>14</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>7</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>20</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>17</td><td>true</td><td>36</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>BroadcastExchange</td><td>null</td><td>2.45</td><td>1463</td><td>29</td><td>true</td><td>null</td><td>null</td><td>null</td><td>true</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Exchange</td><td>null</td><td>2.78</td><td>10244</td><td>49</td><td>true</td><td>34:35</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>14</td><td>Execute CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>0</td><td>Execute 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CreateViewCommand</td><td>null</td><td>1.0</td><td>0</td><td>0</td><td>false</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Exchange</td><td>null</td><td>2.78</td><td>130</td><td>66</td><td>true</td><td>38:39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Filter</td><td>null</td><td>3.75</td><td>0</td><td>61</td><td>true</td><td>31</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Sort</td><td>null</td><td>6.11</td><td>0</td><td>6</td><td>true</td><td>39</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>Project</td><td>null</td><td>2.45</td><td>0</td><td>60</td><td>true</td><td>null</td><td>null</td><td>null</td><td>false</td></tr><tr><td>app-20220209224147-0004</td><td>24</td><td>WholeStageCodegen (11)</td><td>WholeStageCodegen 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