[jira] [Updated] (FLINK-11136) Fix the logical of merge for DISTINCT aggregates
[
https://issues.apache.org/jira/browse/FLINK-11136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Fabian Hueske updated FLINK-11136:
--
Issue Type: Bug (was: Test)
> 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 & SQL
>Reporter: Dian Fu
>Assignee: Dian Fu
>Priority: Major
> Labels: pull-request-available
>
> 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$2.merge(WindowOperator.java:311)
> at
> org.apache.flink.streaming.runtime.operators.windowing.MergingWindowSet.addWindow(MergingWindowSet.java:212)
> at
> org.apache.flink.streaming.runtime.operators.windowing.WindowOperator.processElement(WindowOperator.java:311)
> at
> org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:202)
> at
> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:105)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:704)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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[jira] [Updated] (FLINK-11136) Fix the logical of merge for DISTINCT aggregates
[
https://issues.apache.org/jira/browse/FLINK-11136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated FLINK-11136:
---
Labels: pull-request-available (was: )
> Fix the logical of merge for DISTINCT aggregates
>
>
> Key: FLINK-11136
> URL: https://issues.apache.org/jira/browse/FLINK-11136
> Project: Flink
> Issue Type: Test
> Components: Table API & SQL
>Reporter: Dian Fu
>Assignee: Dian Fu
>Priority: Major
> Labels: pull-request-available
>
> The logic of merge for DISTINCT aggregates has bug. For the following query:
> {code:java}
> SELECT
> c,
> COUNT(DISTINCT b),
> SUM(DISTINCT b),
> SESSION_END(rowtime, INTERVAL '0.005' SECOND)
> FROM MyTable
> GROUP BY SESSION(rowtime, INTERVAL '0.005' SECOND), c{code}
> the following exception will be thrown:
> {code:java}
> Caused by: java.lang.ClassCastException: org.apache.flink.types.Row cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:101)
> at scala.math.Numeric$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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