[jira] [Created] (FLINK-16451) listagg with distinct for over window

[Shang Yuanchun (Jira)]

jinfeng created FLINK-16451:
-------------------------------

             Summary: listagg with distinct for over window
                 Key: FLINK-16451
                 URL: https://issues.apache.org/jira/browse/FLINK-16451
             Project: Flink
          Issue Type: Bug
          Components: Table SQL / Planner
    Affects Versions: 1.10.0, 1.9.2
            Reporter: jinfeng


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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