dianfu opened a new pull request #9907: [FLINK-14202][table][python] Optimize the execution plan for Python Calc when there is a condition URL: https://github.com/apache/flink/pull/9907 ## What is the purpose of the change *This pull request optimizes the Python UDF execution plan when there is a condition which contains Python UDFs by calculating the condition firstly and then check whether to call the other UDFs. This can eliminate the Python UDF execution for the input rows which could be filtered by the condition.* ## Brief change log - *Improves PythonScalarFunctionSplitRule to generate optimized plan.* - *Updates DataStreamPythonCalc to handle cases where condition is not null.* ## Verifying this change This change is already covered by existing tests, such as PythonScalarFunctionSplitRuleTest, test_udf.py*. ## 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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