cloud-fan opened a new pull request #33541:
URL: https://github.com/apache/spark/pull/33541
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### What changes were proposed in this pull request?
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This is a followup of https://github.com/apache/spark/pull/30494
This PR proposes a new way to optimize the final query stage in AQE. We
first collect the effective user-specified repartition (semantic-wise,
user-specified repartition is only effective if it's the root node or under a
few simple nodes), and get the required distribution for the final plan. When
we optimize the final query stage, we skip certain `AQEShuffleReadRule` if it
breaks the required distribution.
### Why are the changes needed?
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The current solution for optimizing the final query stage is pretty hacky
and overkill. As an example, the newly added rule
`OptimizeSkewInRebalancePartitions` can hardly apply as it's very common that
the query plan has shuffles with origin `ENSURE_REQUIREMENTS`, which is not
supported by `OptimizeSkewInRebalancePartitions`.
### Does this PR introduce _any_ user-facing change?
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no
### How was this patch tested?
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updated tests
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