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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-7208) Refactor build-in agg(MaxWithRetractAccumulator and MinWithRetractAccumulator) using the DataView
Date Thu, 06 Dec 2018 12:44:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-7208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16711394#comment-16711394
] 

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_r239438568
 
 

 ##########
 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:
   @walterddr @twalthr Thanks for the suggestion and I have created a PR for FLINK-11074:
https://github.com/apache/flink/pull/7253.  

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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 &amp; 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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