Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/22944#discussion_r232665302
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -1556,6 +1556,20 @@ class DatasetSuite extends QueryTest with
SharedSQLContext {
df.where($"city".contains(new java.lang.Character('A'))),
Seq(Row("Amsterdam")))
}
+
+ test("SPARK-25942: typed aggregation on primitive type") {
+ val ds = Seq(1, 2, 3).toDS()
+
+ val agg = ds.groupByKey(_ >= 2)
+ .agg(sum("value").as[Long], sum($"value" + 1).as[Long])
--- End diff --
ah i see your point.
For untyped API, `df.groupBy...agg...` produces one plan node, but the
typed API `df.groupByKey...agg...` produces 2 plan nodes.
makes sense to me.
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