Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18833#discussion_r148965438
--- Diff: docs/sql-programming-guide.md ---
@@ -1957,6 +1957,14 @@ Not all the APIs of the Hive UDF/UDTF/UDAF are
supported by Spark SQL. Below are
Spark SQL currently does not support the reuse of aggregation.
* `getWindowingEvaluator` (`GenericUDAFEvaluator`) is a function to
optimize aggregation by evaluating
an aggregate over a fixed window.
+
+### Incompatible Hive UDF
+
+Below is a list of Hive UDFs that we don't incompatible yet.
--- End diff --
? Below are the scenarios in which Hive and Spark generate different results
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