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From "Fabian Hueske (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (FLINK-11136) Fix the logical of merge for DISTINCT aggregates
Date Thu, 13 Dec 2018 04:31:00 GMT

     [ https://issues.apache.org/jira/browse/FLINK-11136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Fabian Hueske closed FLINK-11136.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 1.7.1
                   1.8.0
                   1.6.3

Fixed for 1.8.0 with ed0aefa6775f655591b4c0fe46382446921b7155
Fixed for 1.7.1 with ff1821a6d2f8317d0c344719b14350ac362143d9
Fixed for 1.6.3 with ff9b7f1b60a4aeb1d925b236b9818002aad830de


> Fix the logical of merge for DISTINCT aggregates
> ------------------------------------------------
>
>                 Key: FLINK-11136
>                 URL: https://issues.apache.org/jira/browse/FLINK-11136
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API &amp; SQL
>            Reporter: Dian Fu
>            Assignee: Dian Fu
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.6.3, 1.8.0, 1.7.1
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> The logic of merge for DISTINCT aggregates has bug. For the following query:
> {code:java}
> SELECT
>   c,
>   COUNT(DISTINCT b),
>   SUM(DISTINCT b),
>   SESSION_END(rowtime, INTERVAL '0.005' SECOND)
> FROM MyTable
> GROUP BY SESSION(rowtime, INTERVAL '0.005' SECOND), c{code}
> the following exception will be thrown:
> {code:java}
> Caused by: java.lang.ClassCastException: org.apache.flink.types.Row cannot be cast to
java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:101)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:58)
> at org.apache.flink.table.functions.aggfunctions.SumAggFunction.accumulate(SumAggFunction.scala:50)
> at GroupingWindowAggregateHelper$18.mergeAccumulatorsPair(Unknown Source)
> at org.apache.flink.table.runtime.aggregate.AggregateAggFunction.merge(AggregateAggFunction.scala:66)
> at org.apache.flink.table.runtime.aggregate.AggregateAggFunction.merge(AggregateAggFunction.scala:33)
> at org.apache.flink.runtime.state.heap.HeapAggregatingState.mergeState(HeapAggregatingState.java:117)
> at org.apache.flink.runtime.state.heap.AbstractHeapMergingState$MergeTransformation.apply(AbstractHeapMergingState.java:102)
> at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.transform(CopyOnWriteStateTable.java:463)
> at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.transform(CopyOnWriteStateTable.java:341)
> at org.apache.flink.runtime.state.heap.AbstractHeapMergingState.mergeNamespaces(AbstractHeapMergingState.java:91)
> at org.apache.flink.streaming.runtime.operators.windowing.WindowOperator$2.merge(WindowOperator.java:341)
> at org.apache.flink.streaming.runtime.operators.windowing.WindowOperator$2.merge(WindowOperator.java:311)
> at org.apache.flink.streaming.runtime.operators.windowing.MergingWindowSet.addWindow(MergingWindowSet.java:212)
> at org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.processElement(WindowOperator.java:311)
> at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:202)
> at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:105)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:704)
> at java.lang.Thread.run(Thread.java:745)
> {code}



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