Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/13852#discussion_r68474108
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala
---
@@ -174,8 +174,8 @@ sealed abstract class AggregateFunction extends
Expression with ImplicitCastInpu
def inputAggBufferAttributes: Seq[AttributeReference]
/**
- * Indicates if this function supports partial aggregation.
- * Currently Hive UDAF is the only one that doesn't support partial
aggregation.
+ * Indicates if this function needs to aggregate values group-by-group
in a single step.
+ * If false, we must always use a `SortAggregateExec` operator without
partial aggregates.
*/
def supportsPartial: Boolean = true
--- End diff --
okay. Since the suggested fix changes the code, I'll create a new jira
ticket and attach this pr with it.
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