dianfu opened a new pull request #11208: [FLINK-16271][python] Introduce ArrowPythonScalarFunctionOperator for vectorized Python UDF execution URL: https://github.com/apache/flink/pull/11208 ## What is the purpose of the change *This pull request introduces ArrowPythonScalarFunctionOperator for vectorized Python UDF execution.* ## Brief change log - *Introduces `ArrowPythonScalarFunctionRunner` which is responsible for serializing the input elements into Arrow format and sending them out* - *Introduces `ArrowPythonScalarFunctionOperator` is the operator for vectorized Python UDF execution which calling ArrowPythonScalarFunctionRunner to writing the input elements out. It also deserializes the execution results and sending them to the downstream operator* - *Introduces configuration `python.fn-execution.arrow.batch.size` which controls the maximum number of elements included in an Arrow batch* ## Verifying this change This change added tests and can be verified as follows: - *Added test cases in PythonConfigTest and PythonOptionsTest which verify that the config `python.fn-execution.arrow.batch.size`* - *Added tests ArrowPythonScalarFunctionRunnerTest, ArrowPythonScalarFunctionOperatorTest and BaseRowArrowPythonScalarFunctionOperatorTest* ## 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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