mustafasrepo opened a new pull request, #7247:
URL: https://github.com/apache/arrow-datafusion/pull/7247
## Which issue does this PR close?
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## Rationale for this change
With this PR `benefits_from_input_partitioning` method, now returns
vector(), a flag indicating for each child, whether partitioning is beneficial.
This enables us to produce better plans.
It seems to me that in the changing tests (generally hash join tests), new
plans are better. However, I welcome the community feedback. Maybe having
different partitions for the different children have its own problems,
overheads, etc.
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## What changes are included in this PR?
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## Are these changes tested?
Existing tests, should work. Also some tests change, with these changes
Multi partitions can be seen in the build side of the hash join. This will
enable us to decrease memory usage, I presume.
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