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https://issues.apache.org/jira/browse/SPARK-43412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-43412:
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Summary: Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow Python UDFs
(was: Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow-optimized Python
UDFs)
> Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow Python UDFs
> ----------------------------------------------------------------
>
> Key: SPARK-43412
> URL: https://issues.apache.org/jira/browse/SPARK-43412
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, PySpark
> Affects Versions: 3.5.0
> Reporter: Xinrong Meng
> Assignee: Xinrong Meng
> Priority: Major
> Fix For: 3.5.0
>
>
> We are about to improve nested non-atomic input/output support of an
> Arrow-optimized Python UDF.
> However, currently, it shares the same EvalType with a pickled Python UDF,
> but the same implementation with a Pandas UDF.
> Introducing an EvalType enables isolating the changes to Arrow-optimized
> Python UDFs.
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