hequn8128 opened a new pull request #10913: [FLINK-15636][python] Supports Python UDF in old planner under batch mode URL: https://github.com/apache/flink/pull/10913 ## What is the purpose of the change Currently, Python UDF has been supported under old planner(only stream) and blink planner(stream&batch). This pull request dedicates to add Python UDF support in old planner under batch mode. ## Brief change log - Add rules to convert RelNode to DataSetPythonCalc Node. - Add PythonScalarFunctionFlatMap function to invoke Python ScalarFunctions for the legacy planner. - Add IT Tests. ## Verifying this change This change added tests and can be verified as follows: - Added integration tests for Python UDF(test_udf.test_chaining_scalar_function) and dependency management(test_dependency.test_add_python_file). ## 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? (yes) - If yes, how is the feature documented? (docs)
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