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ASF GitHub Bot commented on FLINK-6091: --------------------------------------- Github user hequn8128 commented on a diff in the pull request: https://github.com/apache/flink/pull/3733#discussion_r112817965 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamGroupWindowAggregate.scala --- @@ -107,6 +107,14 @@ class DataStreamGroupWindowAggregate( val groupingKeys = grouping.indices.toArray val inputDS = input.asInstanceOf[DataStreamRel].translateToPlan(tableEnv) + val consumeRetraction = DataStreamRetractionRules.isAccRetract(input) + + if (consumeRetraction) { + throw new TableException( + "Retraction on group window is not supported yet. Note: Currently, group window should " + + "not follow an unbounded groupby.") --- End diff -- yes, non-windowed is more clear > Implement and turn on the retraction for aggregates > --------------------------------------------------- > > Key: FLINK-6091 > URL: https://issues.apache.org/jira/browse/FLINK-6091 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: Shaoxuan Wang > Assignee: Hequn Cheng > > Implement functions for generating and consuming retract messages for > different aggregates. > 1. add delete/add property to Row > 2. implement functions for generating retract messages for unbounded groupBy > 3. implement functions for handling retract messages for different aggregates. > 4. handle retraction messages in CommonCorrelate and CommonCalc (retain > Delete property). > Note: Currently, only unbounded groupby generates retraction and it is > working under unbounded and processing time mode. Hence, retraction is only > supported for unbounded and processing time aggregations so far. We can add > more retraction support later. > supported now: unbounded groupby, unbounded and processing time over window > unsupported now: group window, event time or bounded over window. -- This message was sent by Atlassian JIRA (v6.3.15#6346)