erenavsarogullari opened a new pull request, #38736:
URL: https://github.com/apache/spark/pull/38736
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### What changes were proposed in this pull request?
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`spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` enables AQE
optimizations under `InMemoryRelation`(IMR) nodes by creating separated
sub-SparkPlans for AQE optimizations. However, when
`spark.sql.optimizer.canChangeCachedPlanOutputPartitioning = true`, Spark UI
does not show correct DAG due to lack of final sub-plans (under IMR)
submissions (into UI).
**DAG before fix:**
<img width="100" alt="DAG when AQE=ON and AQECachedDFSupport=ON without fix"
src="https://user-images.githubusercontent.com/1437738/202984370-c179707a-c091-4133-adb6-d5009c98875a.png";>
**DAG after fix:**
<img width="100" alt="DAG when AQE=ON and AQECachedDFSupport=ON with fix"
src="https://user-images.githubusercontent.com/1437738/202984481-a63ba5e2-fc66-4dc7-98a0-f2233a93e5c8.png";>
### Why are the changes needed?
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`spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` enables AQE
optimizations under `InMemoryRelation`(IMR) nodes. Following sample query has
IMR node on both `BroadcastHashJoin` legs. However,
when `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning = true`,
following datas are missed due to lack of final sub-plans (under IMR)
submissions (into UI).
### Does this PR introduce _any_ user-facing change?
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Currently, Spark UI does not show final DAG when
`spark.sql.optimizer.canChangeCachedPlanOutputPartitioning = true` so this
causes some physical operator metrics as missed. This PR aims to fix this
problem.
### How was this patch tested?
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Specific UT Coverage will be added (In Progress).
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