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https://issues.apache.org/jira/browse/SPARK-55170?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-55170:
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Labels: pull-request-available (was: )
> Extract grouped stream reading pattern from serializers
> -------------------------------------------------------
>
> Key: SPARK-55170
> URL: https://issues.apache.org/jira/browse/SPARK-55170
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> Multiple serializers share the same pattern for reading grouped data from
> stream:
> {code:python}
> # Pattern found in: GroupArrowUDFSerializer,
> ArrowStreamAggArrowUDFSerializer,
> # ArrowStreamAggPandasUDFSerializer, CogroupArrowUDFSerializer,
> CogroupPandasUDFSerializer, etc.
> dataframes_in_group = None
> while dataframes_in_group is None or dataframes_in_group > 0:
> dataframes_in_group = read_int(stream)
> if dataframes_in_group == EXPECTED_COUNT:
> # process group
> yield result
> elif dataframes_in_group != 0:
> raise PySparkValueError(
> errorClass="INVALID_NUMBER_OF_DATAFRAMES_IN_GROUP",
> messageParameters={"dataframes_in_group":
> str(dataframes_in_group)},
> )
> {code}
> This could be extracted into a reusable component (e.g.,
> {{GroupedStreamReader}}) to reduce code duplication across serializers.
> This is part of Phase 2: Reduce serializer complexity.
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