Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/22144
My feeling is that, hive compatibility is not that important to Spark at
this point. *ALL* aggregate functions in Spark (including Spark UDAF) support
partial aggregate, but now we need to complicate the aggregation framework and
support un-partial-able aggregate functions, only for a few Hive UDAFs.
Unless there is a simple workaround, or we can justify that Spark needs
un-partial-able aggregate functions, IMO it's not worth to introduce this
feature.
BTW this PR doesn't even have a test, so I'm not sure if we can have a
simple workaround for it.
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