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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_r238943868 ########## File path: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/aggfunctions/MinAggFunctionWithRetract.scala ########## @@ -18,19 +18,20 @@ package org.apache.flink.table.functions.aggfunctions import java.math.BigDecimal -import java.util.{HashMap => JHashMap} -import java.lang.{Iterable => JIterable} +import java.lang.{Iterable => JIterable, Long => JLong} import java.sql.{Date, Time, Timestamp} -import org.apache.flink.api.common.typeinfo.{BasicTypeInfo, TypeInformation} -import org.apache.flink.api.java.tuple.{Tuple2 => JTuple2} -import org.apache.flink.api.java.typeutils.{MapTypeInfo, TupleTypeInfo} -import org.apache.flink.table.api.Types +import org.apache.flink.api.common.typeinfo.{BasicTypeInfo, TypeInformation, Types} +import org.apache.flink.table.api.dataview.MapView import org.apache.flink.table.functions.aggfunctions.Ordering._ import org.apache.flink.table.functions.AggregateFunction /** The initial accumulator for Min with retraction aggregate function */ -class MinWithRetractAccumulator[T] extends JTuple2[T, JHashMap[T, Long]] +class MinWithRetractAccumulator[T] { Review comment: Thanks a lot for the suggestion. But I don't think the implementation of ACC type in CollectAggFunction is a better way. For example, it needs to define the `equals` and `canEqual` methods which are not needed if we use a POJO type instead. ---------------------------------------------------------------- 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)