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https://issues.apache.org/jira/browse/FLINK-7208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16708465#comment-16708465
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ASF GitHub Bot commented on FLINK-7208:
---------------------------------------
dianfu commented on a change in pull request #7201: [FLINK-7208] [table]
Optimize Min/MaxWithRetractAggFunction with DataView
URL: https://github.com/apache/flink/pull/7201#discussion_r238585416
##########
File path:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/runtime/stream/table/AggregateITCase.scala
##########
@@ -203,13 +203,13 @@ class AggregateITCase extends StreamingWithStateTestBase
{
.groupBy('b)
.select('a.count as 'cnt, 'b)
.groupBy('cnt)
- .select('cnt, 'b.count as 'freq)
+ .select('cnt, 'b.count as 'freq, 'b.min as 'min, 'b.max as 'max)
val results = t.toRetractStream[Row](queryConfig)
results.addSink(new RetractingSink)
env.execute()
- val expected = List("1,1", "2,1", "3,1", "4,1", "5,1", "6,1")
+ val expected = List("1,1,1,1", "2,1,2,2", "3,1,3,3", "4,1,4,4", "5,1,5,5",
"6,1,6,6")
Review comment:
@twalthr Thanks a lot for the review. I think the modified
testDoubleGroupAggregation can cover the changes.
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> Refactor build-in agg(MaxWithRetractAccumulator and
> MinWithRetractAccumulator) using the DataView
> -------------------------------------------------------------------------------------------------
>
> Key: FLINK-7208
> URL: https://issues.apache.org/jira/browse/FLINK-7208
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: kaibo.zhou
> Assignee: Dian Fu
> Priority: Major
> Labels: pull-request-available
>
> Refactor build-in agg(MaxWithRetractAccumulator and
> MinWithRetractAccumulator) using the DataView.
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