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| Original file line number | Diff line number | Diff line change |
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| # Release 1.11.2 | ||
| ## Major Features and Improvements | ||
| * Support real-time log retrieval and display for FATE LLM tasks. | ||
| * Optimize the logic of the job clean interface. | ||
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| ## Bug Fixes | ||
| * Fix the thread accumulation caused by the session cleanup timeout bug. | ||
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| # Release 1.11.1 | ||
| ## Major Features and Improvements | ||
| * Support distributed training with multiple gpus for FATE-LLM by Eggroll | ||
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| ## Bug Fixes | ||
| * Fix hadoop connection failures in some scenarios | ||
| * Fix spark config in role does not take effect | ||
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| # Release 1.11.0 | ||
| ## Major Features and Improvements | ||
| * Add data table preview query interface | ||
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| ## Bug Fixes | ||
| * Fix the performance problems of upload and reader in processing large amounts of data | ||
| * Fix online inference cannot be done after model migration bug | ||
| * Fix the model cannot be saved to the specified database bug | ||
| * Fix reader data preview display bug | ||
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| # Release 1.10.1 | ||
| ## Major Features and Improvements | ||
| * Optimize table info API | ||
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| # Release 1.10.0 | ||
| ## Major Features and Improvements | ||
| * Add connection test API | ||
| * May configure gRPC message size limit | ||
| ## Bug Fixes | ||
| * Fix module duplication issue in model | ||
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| # Release 1.9.1 | ||
| ## Bug Fixes | ||
| * Fix parameter inheritance when loading non-model modules from ModelLoader | ||
| * Fix job inheritance after adding or removing roles from training configuration | ||
| * Fix delimiter error in uploaded/downloaded data | ||
| * Fix anonymous feature name renewal | ||
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| # Release 1.9.0 | ||
| ## Major Features and Improvements | ||
| * Support high availability and load balancing to improve system availability and stability | ||
| * Added support for site authentication and data set authority authentication, and supports hook mode for users to customize authentication schemes | ||
| * Component registration optimization, support participants to use different versions of algorithm components | ||
| * Upload, reader support feature anonymity, support specifying id column | ||
| * Scheduling optimization, asynchronous time-consuming operations, component scheduling performance improved by more than 5 times This optimization obvious benefits for multi-component tasks | ||
| * Added component ApiReader to get feature data by id | ||
| * Model storage optimization, support model data synchronization between local and other storage | ||
| * The scheduler now can obtain the error information from other participant's algorithm components | ||
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| # Release 1.8.0 | ||
| ## Major Features and Improvements | ||
| * Optimize the model migration function to reduce user operation steps; | ||
| * Add version compatibility check in component center to support multiple parties to use different versions; | ||
| * Add data table disable/enable function, and support batch delete disable table | ||
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| # Release 1.7.2 | ||
| ## Major Features and Improvements | ||
| * Separate the base connection address of the data storage table from the data table information, and compatible with historical versions; | ||
| * Optimize the component output data download interface. | ||
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| # Release 1.7.1 | ||
| ## Major Features and Improvements | ||
| * Added the writer component, which supports exporting data to mysql and saving data as a new table; | ||
| * Added job reuse function, which supports the reuse of successful status components of historical tasks in new jobs; | ||
| * Optimize the time-consuming problem of submitting tasks and the time-consuming problem of stopping tasks; | ||
| * Component registration supports automatic setting of PYTHONPYTH. | ||
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| ## Bug Fixes | ||
| * Fix the problem of OOM when uploading hdfs table; | ||
| * Fix the problem of incompatibility with the old version of serving; | ||
| * The parameter partitions of the toy test is set to 4, and a timeout prompt is added. | ||
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| # Release 1.7.0 | ||
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| ## Major Features and Improvements | ||
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| * Independent repository instead of all code in the main FATE repository | ||
| * Component registry, which can hot load many different versions of component packages at the same time | ||
| * Hot update of component parameters, component-specific reruns, automatic reruns | ||
| * Model Checkpoint to support task hot start, model deployment and other | ||
| * Data, Model and Cache can be reused between jobs | ||
| * Reader component supports more data sources, such as MySQL, Hive | ||
| * Realtime recording of dataset usage derivation routes | ||
| * Multi-party permission control for datasets | ||
| * Automatic push to reliable storage when model deployment, support Tencent Cloud COS, MySQL, Redis | ||
| * REST API authentication | ||
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| ## Bug Fixes | ||
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| # Release 1.6.1 | ||
| ## Major Features and Improvements | ||
| * Support mysql storage engine; | ||
| * Added service registry interface; | ||
| * Added service query interface; | ||
| * Support fate on WeDataSphere mode | ||
| * Add lock when writing `model_local_cache` | ||
| * Register the model download urls to zookeeper | ||
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| ## Bug Fixes | ||
| * Fix job id length no more than 25 limitation | ||
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| # Release 1.5.2 | ||
| ## Major Features and Improvements | ||
| * Read data from mysql with ‘table bind’ command to map source table to FATE table | ||
| * FATE cluster push model for one-to-multiple FATE Serving clusters in one party | ||
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| ## Bug Fixes | ||
| * Fix job id length no more than 25 limitation | ||
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| # Release 1.5.1 | ||
| ## Major Features and Improvements | ||
| * Optimize the model center, reconstruct publishing model, support deploy, load, bind, migrate operations, and add new interfaces such as model info | ||
| * Improve identity authentication and resource authorization, support party identity verification, and participate in the authorization of roles and components | ||
| * Optimize and fix resource manager, add task_cores job parameters to adapt to different computing engines | ||
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| ## Deploy | ||
| * Support 1.5.0 retain data upgrade to 1.5.1 | ||
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| ## Bug Fixes | ||
| * Fix job clean CLI | ||
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| # Release 1.5.0（LTS） | ||
| ## Major Features and Improvements | ||
| * Brand new scheduling framework based on global state and optimistic concurrency control and support multiple scheduler | ||
| * Upgraded task scheduling: multi-model output for component, executing component in parallel, component rerun | ||
| * Add new DSL v2 which significantly improves user experiences in comparison to DSL v1. Several syntax error detection functions are supported in v2. Now DSL v1 and v2 are | ||
| compatible in the current FATE version | ||
| * Enhanced resource scheduling: remove limit on job number, base on cores, memory and working node according to different computing engine supports | ||
| * Add model registry, supports model query, import/export, model transfer between clusters | ||
| * Add Reader component: automatically dump input data to FATE-compatible format and cluster storage engine; now data from HDFS | ||
| * Refactor submit job configuration's parameters setting, support different parties use different job parameters when using dsl V2. | ||
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| ## Client | ||
| * Brand new CLI v2 with easy independent installation, user-friendly programming syntax & command-line prompt | ||
| * Support FLOW python language SDK | ||
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| # Release 1.4.4 | ||
| ## Major Features and Improvements | ||
| * Task Executor supports monkey patch | ||
| * Add forward API | ||
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| # Release 1.4.2 | ||
| ## Major Features and Improvements | ||
| * Distinguish between user stop job and system stop job; | ||
| * Optimized some logs; | ||
| * Optimize zookeeper configuration | ||
| * The model supports persistent storage to mysql | ||
| * Push the model to the online service to support the specified storage address (local file and FATEFlowServer interface) | ||
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| # Release 1.4.1 | ||
| ## Major Features and Improvements | ||
| * Allow the host to stop the job | ||
| * Optimize the task queue | ||
| * Automatically align the input table partitions of all participants when the job is running | ||
| * Fate flow client large file upload optimization | ||
| * Fixed some bugs with abnormal status | ||
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| # Release 1.4.0 | ||
| ## Major Features and Improvements | ||
| * Refactoring model management, native file directory storage, storage structure is more flexible, more information | ||
| * Support model import and export, store and restore with reliable distributed system(Redis is currently supported) | ||
| * Using MySQL instead of Redis to implement Job Queue, reducing system complexity | ||
| * Support for uploading client local files | ||
| * Automatically detects the existence of the table and provides the destroy option | ||
| * Separate system, algorithm, scheduling command log, scheduling command log can be independently audited | ||
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| # Release 1.3.1 | ||
| ## Major Features and Improvements | ||
| ## Deploy | ||
| * Support deploying by MacOS | ||
| * Support using external db | ||
| * Deploy JDK and Python environments on demand | ||
| * Improve MySQL and FATE Flow service.sh | ||
| * Support more custom deployment configurations in the default_configurations.sh, such as ssh_port, mysql_port and so one. | ||
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| # Release 1.3.0 | ||
| ## Major Features and Improvements | ||
| * Add clean job CLI for cleaning output and intermediate results, including data, metrics and sessions | ||
| * Support for obtaining table namespace and name of output data via CLI | ||
| * Fix KillJob unsuccessful execution in some special cases | ||
| * Improve log system, add more exception and run time status prompts | ||
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| # Release 1.2.0 | ||
| ## Major Features and Improvements | ||
| * Add data management module for recording the uploaded data tables and the outputs of the model in the job running, and for querying and cleaning up CLI. | ||
| * Support registration center for simplifying communication configuration between FATEFlow and FATEServing | ||
| * Restruct model release logic, FATE_Flow pushes model directly to FATE-Serving. Decouple FATE-Serving and Eggroll, and the offline and online architectures are connected only by FATE-Flow. | ||
| * Provide CLI to query data upload record | ||
| * Upload and download data support progress statistics by line | ||
| * Add some abnormal diagnosis tips | ||
| * Support adding note information to job | ||
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| ## Deploy | ||
| * Fix bugs in EggRoll startup script, add mysql, redis startup options. | ||
| * Disable host name resolution configuration for mysql service. | ||
| * The version number of each module of the software packaging script is updated using the automatic acquisition mode. | ||
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| # Release 1.1.1 | ||
| ## Major Features and Improvements | ||
| * Add cluster deployment support based on ubuntu operating system。 | ||
| * Support intermediate data cleanup after the task ends | ||
| * Optimizing the deployment process | ||
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| ## Bug Fixes | ||
| * Fix a bug in download api | ||
| * Fix bugs of spark-backend | ||
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| # Release 1.1 | ||
| ## Major Features and Improvements | ||
| * Upload and Download support CLI for querying job status | ||
| * Support for canceling waiting job | ||
| * Support for setting job timeout | ||
| * Support for storing a job scheduling log in the job log folder | ||
| * Add authentication control Beta version, including component, command, role | ||
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| # Release 1.0.2 | ||
| ## Major Features and Improvements | ||
| * Python and JDK environment are required only for running standalone version quick experiment | ||
| * Support cluster version docker deployment | ||
| * Add deployment guide in Chinese | ||
| * Standalone version job for quick experiment is supported when cluster version deployed. | ||
| * Python service log will remain for 14 days now. | ||
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| # Release 1.0.1 | ||
| ## Bug Fixes | ||
| * Support upload file in version argument | ||
| * Support get serviceRoleName from configuration | ||
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| # Release 1.0 | ||
| ## Major Features and Improvements | ||
| * DAG defines Pipeline | ||
| * Federated Multi-party asymmetric DSL parser | ||
| * Federated Learning lifecycle management | ||
| * Federated Task collaborative scheduling | ||
| * Tracking for data, metric, model and so on | ||
| * Federated Multi-party model management | ||
| ## Release 2.0.0 | ||
| ### Major Features and Improvements | ||
| * Adapted to new scalable and standardized federated DSL IR | ||
| * Built an interconnected scheduling layer framework, supported the BFIA protocol | ||
| * Optimized process scheduling, with scheduling separated and customizable, and added priority scheduling | ||
| * Optimized algorithm component scheduling，support container-level algorithm loading， enhancing support for cross-platform heterogeneous scenarios | ||
| * Optimized multi-version algorithm component registration, supporting registration for mode of components | ||
| * Federated DSL IR extension enhancement: supports multi-party asymmetric scheduling | ||
| * Optimized client authentication logic, supporting permission management for multiple clients | ||
| * Optimized RESTful interface, making parameter fields and types, return fields, and status codes clearer | ||
| * Added OFX(Open Flow Exchange) module: encapsulated scheduling client to allow cross-platform scheduling | ||
| * Supported the new communication engine OSX, while remaining compatible with all engines from FATE Flow 1.x | ||
| * Decoupled the System Layer and the Algorithm Layer, with system configuration moved from the FATE repository to the Flow repository | ||
| * Published FATE Flow package to PyPI and added service-level CLI for service management | ||
| * Migrated major functionality from FATE Flow 1.x |
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|---|---|---|
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| #!/bin/bash | ||
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| # | ||
| # Copyright 2019 The FATE Authors. 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. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # | ||
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| fate_project_base=$(cd `dirname "$(realpath "${BASH_SOURCE[0]:-${(%):-%x}}")"`; cd ../;cd ../;pwd) | ||
| export FATE_PROJECT_BASE=$fate_project_base | ||
| export PYTHONPATH= | ||
| export SPARK_HOME= | ||
| venv= | ||
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| source ${venv}/bin/activate | ||
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