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ASF GitHub Bot commented on FLINK-7208: --------------------------------------- walterddr 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_r238895763 ########## 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: this test does not cover statebackend usage, a prove for this is that this test passes before your last commit. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)