WeiZhong94 opened a new pull request #10061: [FLINK-14581][python] Let python UDF execution no longer rely on the flink directory structure to support running python UDFs on yarn. URL: https://github.com/apache/flink/pull/10061 ## What is the purpose of the change *This pull request makes python UDF execution no longer rely on the flink directory structure to support running python UDFs on yarn.* ## Brief change log - *add `pyflink-udf-runner.sh`, `pyflink.zip`, `py4j-0.10.8.1-src.zip` and `cloudpickle-1.2.2-src.zip` as resources to `flink-python-{VERSION}.jar`.* - *add `RunnerEnvUtil` to extract above files before running python udf worker.* - *rework `pyflink-udf-runner.sh` and relevant tests to adapt to the above changes.* ## Verifying this change This change is already covered by existing tests, such as *RunnerEnvUtilTest*, *test_process_mode_boot.py* etc. ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): (no) - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (no) - The serializers: (no) - The runtime per-record code paths (performance sensitive): (no) - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Yarn/Mesos, ZooKeeper: (no) - The S3 file system connector: (no) ## Documentation - Does this pull request introduce a new feature? (no) - If yes, how is the feature documented? (not applicable)
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