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https://issues.apache.org/jira/browse/SPARK-52640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandy Ryza resolved SPARK-52640.
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Resolution: Fixed
Issue resolved by pull request 51344
[https://github.com/apache/spark/pull/51344]
> [SDP] Propagate Python Source Code Location
> -------------------------------------------
>
> Key: SPARK-52640
> URL: https://issues.apache.org/jira/browse/SPARK-52640
> Project: Spark
> Issue Type: Sub-task
> Components: Declarative Pipelines
> Affects Versions: 4.1.0
> Reporter: Anish Mahto
> Assignee: Anish Mahto
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0
>
>
> In SDP, the source code that defines a pipeline can be written in a
> combination of Python and SQL files.
> When constructing flows and datasets that are defined from these source
> files, its useful to track source code information such as the exact line
> number a particular dataset or flow was defined by. This is especially useful
> for debugging, and is propagated back to the user in some flow progress
> events.
> Today, datasets/flows defined by SQL files have the correct source code
> location information propagated through SDP, e2e. Python needs a similar
> setup.
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