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https://issues.apache.org/jira/browse/SPARK-60951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60951:
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Labels: pull-request-available (was: )
> Support configurable aggregation level for the Python UDF sampling profiler
> ---------------------------------------------------------------------------
>
> Key: SPARK-60951
> URL: https://issues.apache.org/jira/browse/SPARK-60951
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 5.0.0
> Reporter: Tian Gao
> Priority: Major
> Labels: pull-request-available
>
> Add spark.sql.pyspark.udf.profiler.samplingAggregation (query | stage | task,
> default stage) to control how the sampling profiler aggregates call stacks.
> Results are merged by the chosen key so the driver keeps one call tree per
> query, stage, or task attempt instead of one per task. Sampled call trees are
> also keyed by thread name instead of thread id, so threads from different
> tasks merge correctly.
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