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Posted to issues@spark.apache.org by "Yicong Huang (Jira)" <ji...@apache.org> on 2026/07/14 21:26:00 UTC

[jira] [Resolved] (SPARK-57903) Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF

     [ https://issues.apache.org/jira/browse/SPARK-57903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang resolved SPARK-57903.
----------------------------------
    Fix Version/s: 4.3.0
       Resolution: Fixed

Issue resolved by pull request 57047
[https://github.com/apache/spark/pull/57047]

> Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF
> -------------------------------------------------
>
>                 Key: SPARK-57903
>                 URL: https://issues.apache.org/jira/browse/SPARK-57903
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark, Tests
>    Affects Versions: 4.3.0
>            Reporter: Yicong Huang
>            Assignee: Yicong Huang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.3.0
>
>
> Add an ASV microbenchmark for the SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF eval type, mirroring the existing SQL_TRANSFORM_WITH_STATE_PANDAS_UDF benchmark (SPARK-57020). This measures the stateful streaming transformation path that uses PySpark Row objects (TransformWithStateInPySparkRowSerializer), to guard against regressions in the upcoming serializer refactor.



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