jiayue.yu created FLINK-20487:
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Summary: FLINK SQL GROUP BY TUMBLE AND OVER FUNCTION
Key: FLINK-20487
URL: https://issues.apache.org/jira/browse/FLINK-20487
Project: Flink
Issue Type: Bug
Components: Table SQL / Planner
Reporter: jiayue.yu
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)
CASE:
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);
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