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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_r112817968 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala --- @@ -129,11 +131,17 @@ class DataStreamOverAggregate( generator, inputDS, isRowTimeType = false, - isRowsClause = overWindow.isRows) + isRowsClause = overWindow.isRows, + consumeRetraction) --- End diff -- hi, you are right, maybe it's better for us not to support OVER at current. > 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)