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ASF GitHub Bot commented on FLINK-7208: --------------------------------------- sunjincheng121 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_r239663677 ########## File path: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala ########## @@ -1437,36 +1437,30 @@ object AggregateUtil { case collect: SqlAggFunction if collect.getKind == SqlKind.COLLECT => aggregates(index) = new CollectAggFunction(FlinkTypeFactory.toTypeInfo(relDataType)) - accTypes(index) = aggregates(index).getAccumulatorType case udagg: AggSqlFunction => aggregates(index) = udagg.getFunction - accTypes(index) = udagg.accType case unSupported: SqlAggFunction => throw new TableException(s"Unsupported Function: '${unSupported.getName}'") } } + accTypes(index) = getAccumulatorTypeOfAggregateFunction(aggregates(index)) } val accSpecs = new Array[Seq[DataViewSpec[_]]](aggregateCalls.size) // create accumulator type information for every aggregate function aggregates.zipWithIndex.foreach { case (agg, index) => Review comment: +1 ---------------------------------------------------------------- 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)