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Posted to issues@spark.apache.org by "Xinrong Meng (Jira)" <ji...@apache.org> on 2023/05/10 20:10:00 UTC

[jira] [Assigned] (SPARK-43412) Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow-optimized Python UDFs

     [ https://issues.apache.org/jira/browse/SPARK-43412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xinrong Meng reassigned SPARK-43412:
------------------------------------

    Assignee: Xinrong Meng

> Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow-optimized 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
>
> 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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