AnishMahto opened a new pull request, #51344:
URL: https://github.com/apache/spark/pull/51344
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### What changes were proposed in this pull request?
Propagate source code location details (line number and file path) E2E for
declarative pipelines. That is, collect this information from the python REPL
that registers SDP datasets/flows, propagate it through the appropriate spark
connect handlers, and associate it to the appropriate datasets/flows in
pipeline events/exceptions.
### Why are the changes needed?
Better observability and debugging experience for users. Allows users to
identify the exact lines that cause a particular exception.
### Does this PR introduce _any_ user-facing change?
Yes, we are populating source code information in the origin for pipeline
events, which is user-facing. Currently SDP is not released in any spark
version however.
### How was this patch tested?
Added tests to `org.apache.spark.sql.connect.pipelines.PythonPipelineSuite`
### Was this patch authored or co-authored using generative AI tooling?
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No
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