Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/19001
With the simplified distribution semantic, I think it's much easier to
support the hive bucketing. We only need to create a `HiveHashPartitioning`,
implement it similar to `HashPartitioning` without satisfying
`HashPartitionedDistribution`, and then we can avoid shuffle for bucketed hive
table in many cases like aggregate, repartitionBy, broadcast join, etc.
For non-broadcast join, we have the potential to support it, after we make
the hash function configurable for `HashPartitionedDistribution`.
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