dianfu opened a new pull request #11252: [FLINK-16337][python][table-planner-blink] Add support of vectorized Python UDF in blink planner URL: https://github.com/apache/flink/pull/11252 ## What is the purpose of the change *This pull request adds the relNodes and rules to support vectorized Python UDF in blink planner and old planner.* ## Brief change log - *Introduce relNodes and rules to support vectorized Python UDF in blink planner such as StreamExecArrowPythonCalc, BatchExecArrowPythonCalc, etc * - *Introduce relNodes and rules to support vectorized Python UDF in old planner such as DataStreamArrowPythonCalc* - *Introduce PythonCalcSplitPandasInProjectionRule which is used to support use non-vectorized Python UDF and vectorized Python UDF in the same job* ## Verifying this change This change added tests and can be verified as follows: - *Added tests in PythonCalcSplitRuleTest* ## 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, Kubernetes/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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