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https://issues.apache.org/jira/browse/FLINK-20487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17322900#comment-17322900
]
Flink Jira Bot commented on FLINK-20487:
----------------------------------------
This issue is assigned but has not received an update in 7 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> Support to consume retractions for window aggregate operator
> ------------------------------------------------------------
>
> Key: FLINK-20487
> URL: https://issues.apache.org/jira/browse/FLINK-20487
> Project: Flink
> Issue Type: New Feature
> Components: Table SQL / Planner
> Reporter: jiayue.yu
> Assignee: Andy
> Priority: Major
> Labels: pull-request-available, stale-assigned
> Fix For: 1.14.0
>
>
> {code}
> EXCEPTION: org.apache.flink.table.api.TableException: Group Window Aggregate:
> Retraction on windowed GroupBy Aggregate is not supported yet.
> org.apache.flink.table.api.TableException: Group Window Aggregate: Retraction
> on windowed GroupBy Aggregate is not supported yet. please re-check sql
> grammar. Note: Windowed GroupBy Aggregate should not follow anon-windowed
> GroupBy aggregation. at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupWindowAggregateBase.translateToPlanInternal(StreamExecGroupWindowAggregateBase.scala:138)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupWindowAggregateBase.translateToPlanInternal(StreamExecGroupWindowAggregateBase.scala:54)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan(ExecNode.scala:58)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan$(ExecNode.scala:56)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupWindowAggregateBase.translateToPlan(StreamExecGroupWindowAggregateBase.scala:54)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:54)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:39)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan(ExecNode.scala:58)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan$(ExecNode.scala:56)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToTransformation(StreamExecSink.scala:184)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:91)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:48)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan(ExecNode.scala:58)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan$(ExecNode.scala:56)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:48)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner.$anonfun$translateToPlan$1(StreamPlanner.scala:60)
> at
> scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233) at
> scala.collection.Iterator.foreach(Iterator.scala:937) at
> scala.collection.Iterator.foreach$(Iterator.scala:937) at
> scala.collection.AbstractIterator.foreach(Iterator.scala:1425) at
> scala.collection.IterableLike.foreach(IterableLike.scala:70) at
> scala.collection.IterableLike.foreach$(IterableLike.scala:69) at
> scala.collection.AbstractIterable.foreach(Iterable.scala:54) at
> scala.collection.TraversableLike.map(TraversableLike.scala:233) at
> scala.collection.TraversableLike.map$(TraversableLike.scala:226) at
> scala.collection.AbstractTraversable.map(Traversable.scala:104) at
> org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:59)
> at
> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:355)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:334)
> {code}
>
> CASE:
> {code:sql}
> SELECT
> DATE_FORMAT(tumble_end(ROWTIME ,interval '1' hour),'yyyy-MM-dd HH') as
> stat_time,
> count(crypto_customer_number) first_phone_num
> FROM (
> SELECT
> ROWTIME,
> crypto_customer_number,
> row_number() over(partition by crypto_customer_number order by ROWTIME ) as
> rn
> FROM source_kafka_biz_shuidi_sdb_crm_call_record
> ) cal
> where rn =1
> group by tumble(ROWTIME,interval '1' hour);
> {code}
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