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https://issues.apache.org/jira/browse/SPARK-58067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-58067:
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Labels: pull-request-available (was: )
> Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF
> ------------------------------------------------------------
>
> Key: SPARK-58067
> URL: https://issues.apache.org/jira/browse/SPARK-58067
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.3.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> Add an ASV microbenchmark for the
> SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF eval type, mirroring the
> existing SQL_TRANSFORM_WITH_STATE_PANDAS_INIT_STATE_UDF benchmark
> (SPARK-57704) and the non-init Row benchmark (SPARK-57903). This measures the
> stateful streaming transformation path that uses PySpark Row objects with an
> initial state (TransformWithStateInPySparkRowInitStateSerializer), to guard
> against regressions in the upcoming serializer refactor.
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