dianfu opened a new pull request #11014: [FLINK-15897][python] Defer the deserialization of the Python UDF execution results URL: https://github.com/apache/flink/pull/11014 ## What is the purpose of the change *Currently, the Python UDF execution results are deserialized and then buffered in a collection when received from the Python worker. The deserialization could be deferred when sending the execution results to the downstream operator. That's to say, it buffers the serialized bytes instead of the deserialized Java objects in the buffer. This could reduce the memory footprint of the Java operator.* ## Brief change log - *Update AbstractPythonFunctionRunner to not deserialize the UDF execution results when received from the Python worker* - *The UDF execution results are deserialized in PythonScalarFunctionOperator when sending them out to the downstream operator* ## Verifying this change This change is an improvement and is already covered by existing tests, such as *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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