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https://issues.apache.org/jira/browse/SPARK-58923?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang resolved SPARK-58923.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 58182
[https://github.com/apache/spark/pull/58182]
> Bound the output Arrow batch size of Python UDF workers
> -------------------------------------------------------
>
> Key: SPARK-58923
> URL: https://issues.apache.org/jira/browse/SPARK-58923
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 4.4.0
> Reporter: Yicong Huang
> Assignee: Yicong Huang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> An Arrow-based Python UDF worker can emit a single oversized output
> RecordBatch (for example, applyInPandas produces one batch per group, so a
> large group yields one large batch), which strains the JVM and downstream
> operators. We need a Python-side (worker-side) mechanism to resize such
> output batches down toward a configurable byte limit before they are sent to
> the JVM.
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