sunchao opened a new pull request, #38950:
URL: https://github.com/apache/spark/pull/38950
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### What changes were proposed in this pull request?
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This enhances Storage Partitioned Join by handling mismatch partition keys
from both sides of the join and skip shuffle in certain cases.
### Why are the changes needed?
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Currently in Storage Partitioned Join, when the partition transform
expressions match, but the partition keys don't, we'd still fallback to
shuffle. This is not necessary since we can find out the common set of
partition keys and populate that to the scan nodes. On the scan node, those
missing partition keys can be filled with empty partitions.
The above scenario is pretty common for queries such as `MERGE INTO`, as the
changing data to be merged into the base table often need to be applied to new
partitions. This will cause the querys to trigger shuffle and thus become
expensive.
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Added a few new tests in `KeyGroupedPartitioningSuite`.
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