Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/1822#discussion_r16196620
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala
---
@@ -340,4 +340,10 @@ private[hive] case class HiveUdafFunction(
val inputs = inputProjection(input).asInstanceOf[Seq[AnyRef]].toArray
function.iterate(buffer, inputs)
}
+
+ //hiveUdaf does not support external aggregate, for HiveUdafFunction
need to spill to disk,
+ //and all the vals above need Serializable
+ override def merge(input: AggregateFunction): Unit = {
+ throw new NotImplementedError(s"HiveUdaf does not support external
aggregate")
--- End diff --
I think we are going to have to figure out something that works here.
Perhaps we can use `SerializableWritable` or something?
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