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https://issues.apache.org/jira/browse/FLINK-16451?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
jinfeng updated FLINK-16451:
----------------------------
Summary: listagg with distinct for over window codegen error (was:
listagg with distinct for over window )
> listagg with distinct for over window codegen error
> ----------------------------------------------------
>
> Key: FLINK-16451
> URL: https://issues.apache.org/jira/browse/FLINK-16451
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.9.2, 1.10.0
> Reporter: jinfeng
> Priority: Major
>
> When I use lisgagg with distinct and over window.
> {code:java}
> //代码占位符
> "select listagg(distinct product, '|') over(partition by user order by
> proctime rows between 200 preceding and current row) as product, user from "
> + testTable
> {code}
> I got the follwing exception
> {code:java}
> //代码占位符
> Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 3,
> Size: 3 at java.util.ArrayList.rangeCheck(ArrayList.java:657) at
> java.util.ArrayList.get(ArrayList.java:433) at
> java.util.Collections$UnmodifiableList.get(Collections.java:1311) at
> org.apache.flink.table.types.logical.RowType.getTypeAt(RowType.java:174) at
> org.apache.flink.table.planner.codegen.GenerateUtils$.generateFieldAccess(GenerateUtils.scala:635)
> at
> org.apache.flink.table.planner.codegen.GenerateUtils$.generateFieldAccess(GenerateUtils.scala:620)
> at
> org.apache.flink.table.planner.codegen.GenerateUtils$.generateInputAccess(GenerateUtils.scala:524)
> at
> org.apache.flink.table.planner.codegen.agg.DistinctAggCodeGen$$anonfun$10.apply(DistinctAggCodeGen.scala:374)
> at
> org.apache.flink.table.planner.codegen.agg.DistinctAggCodeGen$$anonfun$10.apply(DistinctAggCodeGen.scala:374)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofInt.foreach(ArrayOps.scala:234) at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at
> scala.collection.mutable.ArrayOps$ofInt.map(ArrayOps.scala:234) at
> org.apache.flink.table.planner.codegen.agg.DistinctAggCodeGen.generateKeyExpression(DistinctAggCodeGen.scala:374)
> at
> org.apache.flink.table.planner.codegen.agg.DistinctAggCodeGen.accumulate(DistinctAggCodeGen.scala:192)
> at
> org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator$$anonfun$12.apply(AggsHandlerCodeGenerator.scala:871)
> at
> org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator$$anonfun$12.apply(AggsHandlerCodeGenerator.scala:871)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at
> scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at
> org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator.genAccumulate(AggsHandlerCodeGenerator.scala:871)
> at
> org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator.generateAggsHandler(AggsHandlerCodeGenerator.scala:329)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecOverAggregate.createBoundedOverProcessFunction(StreamExecOverAggregate.scala:425)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecOverAggregate.translateToPlanInternal(StreamExecOverAggregate.scala:255)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecOverAggregate.translateToPlanInternal(StreamExecOverAggregate.scala:56)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecOverAggregate.translateToPlan(StreamExecOverAggregate.scala:56)
> 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)
> {code}
> But It worked with
> {code:java}
> //代码占位符
> select listagg(distinct product) over(partition by user order by proctime
> rows between 200 preceding and current row) as product, user from " +
> testTable
> {code}
>
> {code:java}
> //代码占位符
> private def generateKeyExpression(
> ctx: CodeGeneratorContext,
> generator: ExprCodeGenerator): GeneratedExpression = {
> val fieldExprs = distinctInfo.argIndexes.map(generateInputAccess(
> ctx,
> generator.input1Type,
> generator.input1Term,
> _,
> nullableInput = false,
> deepCopy = inputFieldCopy))
> {code}
> The exception will be throw at the below code.
> The distinctInfo.argIndexs is [1, 3] . But the index 3 is a logical index.
> It will be replaced by '|' . And should not generate Input Access for
> index 3
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