Github user gczsjdy commented on the issue:
https://github.com/apache/spark/pull/17359
@viirya Sorry for the late reply. It seems Spark cannot use Hive
`GenericUDAFnGrams`, since Spark only supports subclass of
`AbstractGenericUDAFResolver` & `UDAF` for Hive UDAF, while `GenericUDAFnGrams`
is subclass of `GenericUDAFResolver`. Spark will return a `No handler for Hive
UDF` exception. So this may be a good reason to add new feature for Spark
aggregate expression.
Or do you think it's reasonable to make Spark support registering subclass
of `GenericUDAFResolver`?
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