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https://issues.apache.org/jira/browse/SPARK-60238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang resolved SPARK-60238.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 59469
[https://github.com/apache/spark/pull/59469]
> Migrate stateful streaming UDF eval types to the EvalTypeHandler pipeline
> -------------------------------------------------------------------------
>
> Key: SPARK-60238
> URL: https://issues.apache.org/jira/browse/SPARK-60238
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.4.0
> Reporter: Yicong Huang
> Assignee: Yicong Huang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> Move the five stateful streaming eval types
> (SQL_GROUPED_MAP_PANDAS_UDF_WITH_STATE, SQL_TRANSFORM_WITH_STATE_PANDAS_UDF,
> SQL_TRANSFORM_WITH_STATE_PANDAS_INIT_STATE_UDF,
> SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF,
> SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF) from read_udfs onto the
> EvalTypeHandler pipeline, as handlers in a new
> pyspark.eval_handlers._stateful module. Each branch body moves unchanged; no
> user-facing or wire-format change.
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