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https://issues.apache.org/jira/browse/SPARK-34265?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-34265.
---------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 33559
[https://github.com/apache/spark/pull/33559]
> Instrument Python UDF execution using SQL Metrics
> -------------------------------------------------
>
> Key: SPARK-34265
> URL: https://issues.apache.org/jira/browse/SPARK-34265
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.3.0
> Reporter: Luca Canali
> Assignee: Luca Canali
> Priority: Minor
> Fix For: 3.4.0
>
> Attachments: PandasUDF_ArrowEvalPython_Metrics.png,
> PythonSQLMetrics_Jira_Picture.png, proposed_Python_SQLmetrics_v20210128.png
>
>
> This proposes to add SQLMetrics instrumentation for Python UDF.
> This is aimed at improving monitoring and performance troubleshooting of
> Python UDFs, Pandas UDF, including also the use of MapPartittion, and
> MapInArrow.
> The introduced metrics are exposed to the end users via the metrics system
> and are visible through the WebUI interface, in the SQL/DataFrame tab for
> execution steps related to Python UDF execution. See also the attached
> screenshots.
> This intrumentation is lightweight and can be used in production and for
> monitoring. It is complementary to the Python/Pandas UDF Profiler introduced
> in Spark 3.3
> [https://spark.apache.org/docs/latest/api/python/development/debugging.html#python-pandas-udf]
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