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https://issues.apache.org/jira/browse/SPARK-60532?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang updated SPARK-60532:
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Affects Version/s: 4.4.0
(was: 5.0.0)
> Chain UDF functions in EvalTypeHandler and enforce single-UDF handlers in the
> base
> ----------------------------------------------------------------------------------
>
> Key: SPARK-60532
> URL: https://issues.apache.org/jira/browse/SPARK-60532
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.4.0
> Reporter: Yicong Huang
> Priority: Major
>
> Move the chaining of nested UDF calls (ChainedPythonFunctions) from worker.py
> into EvalTypeHandler.__init__, so the worker only deserializes the functions
> and the UDF record carries them unchained. Add a _single_udf class flag on
> EvalTypeHandler: handlers that take exactly one UDF (grouped/cogrouped map,
> map iter, scalar iter, grouped agg iter, scalar iter elementwise, stateful,
> UDTF) declare it, and the base fails fast on any other count and exposes the
> UDF and its functions as _udf, _raw_func and _func, replacing the per-handler
> udfs[0] asserts and lookups. No behavior change.
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