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https://issues.apache.org/jira/browse/SPARK-56222?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-56222:
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Labels: pull-request-available (was: )
> Split ArrowStreamSerializer into GroupSerializer and CoGroupSerializer for
> better type hints
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-56222
> URL: https://issues.apache.org/jira/browse/SPARK-56222
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> Currently ArrowStreamSerializer uses num_dfs to switch between plain stream
> (num_dfs=0), grouped (num_dfs=1), and cogrouped (num_dfs=2) modes. This makes
> load_stream return different types depending on runtime state:
> - num_dfs=0: Iterator[pa.RecordBatch]
> - num_dfs=1: Iterator[Iterator[pa.RecordBatch]]
> - num_dfs=2: Iterator[Tuple[Iterator[pa.RecordBatch],
> Iterator[pa.RecordBatch]]]
> This prevents proper type annotations on both the serializer and the func
> closures in read_udfs().
> Proposal: split into dedicated GroupSerializer and CoGroupSerializer classes
> so each has a single, well-typed load_stream signature.
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