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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