dianfu opened a new pull request #9748: [FLINK-14016][python][flink-table-planner] Introduce FlinkLogicalPythonScalarFunctionExec and DataStreamPythonScalarFunctionExec for Python function execution URL: https://github.com/apache/flink/pull/9748 ## What is the purpose of the change *This pull request introduces FlinkLogicalPythonScalarFunctionExec and DataStreamPythonScalarFunctionExec for Python ScalarFunction execution.* ## Brief change log - *Introduces FlinkLogicalPythonScalarFunctionExec and DataStreamPythonScalarFunctionExec for Python ScalarFunction execution* - *Introduces PythonScalarFunctionSplitRule which split multiple ScalarFunctions contained in the same node* - * Introduces LogicalCalcToLogicalPythonScalarFunctionExecRule to convert LogicalCalc to LogicalPythonScalarFunctionExec* - * Add a new phase for Python related rules as it could not be in the same phase of LOGICAL_OPT_RULES* ## Verifying this change This change added tests and can be verified as follows: - *Added test LogicalCalcToLogicalPythonScalarFunctionExecRuleTest and PythonScalarFunctionSplitRuleTest* ## 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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