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Posted to issues@spark.apache.org by "Yicong Huang (Jira)" <ji...@apache.org> on 2026/08/20 22:45:00 UTC

[jira] [Updated] (SPARK-58923) Bound the output Arrow batch size of Python UDF workers

     [ https://issues.apache.org/jira/browse/SPARK-58923?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang updated SPARK-58923:
---------------------------------
    Affects Version/s: 4.4.0
                           (was: 5.0.0)

> 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
>            Priority: Major
>
> 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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