[
https://issues.apache.org/jira/browse/FLINK-13562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jark Wu resolved FLINK-13562.
-----------------------------
Resolution: Fixed
Fix Version/s: 1.9.0
master: 0b65aeaede36f0bc706dfdb82f039352b15069e9
1.9.0: bca6330fce03bc177ca48f142d786ce2e79c6c45
> throws exception when FlinkRelMdColumnInterval meets two stage stream group
> aggregate
> -------------------------------------------------------------------------------------
>
> Key: FLINK-13562
> URL: https://issues.apache.org/jira/browse/FLINK-13562
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Reporter: godfrey he
> Assignee: godfrey he
> Priority: Critical
> Labels: pull-request-available
> Fix For: 1.9.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> test case:
> {code:scala}
> @Test
> def testTwoDistinctAggregateWithNonDistinctAgg(): Unit = {
> util.addTableSource[(Int, Long, String)]("MyTable", 'a, 'b, 'c)
> util.verifyPlan("SELECT c, SUM(DISTINCT a), SUM(a), COUNT(DISTINCT b)
> FROM MyTable GROUP BY c")
> }
> {code}
> org.apache.flink.table.api.TableException: Sum aggregate function does not
> support type: ''VARCHAR''.
> Please re-check the data type.
> at
> org.apache.flink.table.planner.plan.utils.AggFunctionFactory.createSumAggFunction(AggFunctionFactory.scala:191)
> at
> org.apache.flink.table.planner.plan.utils.AggFunctionFactory.createAggFunction(AggFunctionFactory.scala:74)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$9.apply(AggregateUtil.scala:285)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$9.apply(AggregateUtil.scala:279)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$.transformToAggregateInfoList(AggregateUtil.scala:279)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$.getOutputIndexToAggCallIndexMap(AggregateUtil.scala:154)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdColumnInterval.getAggCallIndexInLocalAgg$1(FlinkRelMdColumnInterval.scala:504)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdColumnInterval.estimateColumnIntervalOfAggregate(FlinkRelMdColumnInterval.scala:526)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdColumnInterval.getColumnInterval(FlinkRelMdColumnInterval.scala:417)
> at GeneratedMetadataHandler_ColumnInterval.getColumnInterval_$(Unknown
> Source)
> at GeneratedMetadataHandler_ColumnInterval.getColumnInterval(Unknown
> Source)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getColumnInterval(FlinkRelMetadataQuery.java:122)
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
