HeartSaVioR commented on code in PR #38503:
URL: https://github.com/apache/spark/pull/38503#discussion_r1021175378
##########
sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsInPandasWithStateSuite.scala:
##########
@@ -240,25 +240,30 @@ class FlatMapGroupsInPandasWithStateSuite extends
StateStoreMetricsTest {
.groupBy("key")
.count()
- testStream(result, Complete)(
- AddData(inputData, "a"),
- CheckNewAnswer(("a", 1)),
- AddData(inputData, "a", "b"),
- // mapGroups generates ("a", "2"), ("b", "1"); so increases counts of a
and b by 1
- CheckNewAnswer(("a", 2), ("b", 1)),
- StopStream,
- StartStream(),
- AddData(inputData, "a", "b"),
- // mapGroups should remove state for "a" and generate ("a", "-1"), ("b",
"2") ;
- // so increment a and b by 1
- CheckNewAnswer(("a", 3), ("b", 2)),
- StopStream,
- StartStream(),
- AddData(inputData, "a", "c"),
- // mapGroups should recreate state for "a" and generate ("a", "1"),
("c", "1") ;
- // so increment a and c by 1
- CheckNewAnswer(("a", 4), ("b", 2), ("c", 1))
- )
+ // As of [SPARK-40940], multiple state operator with Complete mode is
disabled by default
+ val exp = intercept[AnalysisException] {
Review Comment:
In update and complete mode, streaming aggregation does not require event
time column to be a part of grouping key.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
