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https://issues.apache.org/jira/browse/SPARK-54223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-54223.
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Fix Version/s: 4.2.0
Resolution: Fixed
Issue resolved by pull request 52931
[https://github.com/apache/spark/pull/52931]
> Add task context and data metrics to Python runner logs
> -------------------------------------------------------
>
> Key: SPARK-54223
> URL: https://issues.apache.org/jira/browse/SPARK-54223
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.5.1, 4.0.1
> Reporter: Nishanth
> Assignee: Nishanth
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.2.0
>
>
> Currently, log messages in PythonRunner do not include Spark Task Context
> information such as the Task ID or Partition ID.
> Additionally, the logs lack useful execution metrics (e.g., number of records
> processed, data size), which makes it difficult to correlate Python process
> behavior with specific Spark tasks.
> When debugging UDF performance issues, hangs, or data skew, it’s challenging
> to identify which task or dataset portion caused the issue.
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