Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/22144
@tgravescs please quote my full comment instead of part of it.
> After all, this is a bug and a regression from previous releases, like
other 1000 we've fixed before.
The point I was making there is, this issue is not the ones that HAVE TO
block a release, like correctness issue. I immediately list the reasons
afterward why I don't think it's a blocker.
> hive compatibility is not that important to Spark at this point
I'm sorry if this worries you. It's true that we focus more on Spark itself
instead of Hive compatibility in the recent development, but this should not be
applied to existing Hive compatibility features in Spark and we should still
maintain them.
BTW, I removed the `supportPartial` flag because no aggregate functions in
Spark need it(including the adapted Hive UDAF), but the problem exists in how
to adapt Hive UDAF, which was introduced by
https://issues.apache.org/jira/browse/SPARK-18186
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