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https://issues.apache.org/jira/browse/SPARK-26097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-26097.
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Resolution: Later
> Show partitioning details in DAG UI
> -----------------------------------
>
> Key: SPARK-26097
> URL: https://issues.apache.org/jira/browse/SPARK-26097
> Project: Spark
> Issue Type: Improvement
> Components: Web UI
> Affects Versions: 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.3.2, 2.4.0
> Reporter: Idan Zalzberg
> Priority: Minor
> Attachments: image (8).png
>
>
> We run complex SQL queries using Spark SQL, often we have to tackle a join
> skew or incorrect partition count. The problem is that while the Spark UI
> shows the existence of the problem and what *stage* it is part of, it's hard
> to infer back to the original SQL query that was given (e.g. what is the
> specific join operation that is actually skewed).
> One way to resolve this is to relate the Exchange nodes in the DAG to the
> partitioning that they represent, this is actually a trivial change in code
> (less than one line) that we believe can greatly benefit the research of
> performance issues.
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