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https://issues.apache.org/jira/browse/FLINK-8689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16454418#comment-16454418
 ] 

ASF GitHub Bot commented on FLINK-8689:
---------------------------------------

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/5555#discussion_r184419816
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/aggfunctions/DistinctAccumulator.scala
 ---
    @@ -47,60 +51,51 @@ class DistinctAccumulator[E, ACC](var realAcc: ACC, var 
mapView: MapView[E, JLon
       override def equals(that: Any): Boolean =
         that match {
           case that: DistinctAccumulator[E, ACC] => that.canEqual(this) &&
    -        this.mapView == that.mapView
    +        this.distinctValueMap == that.distinctValueMap
           case _ => false
         }
     
       def add(element: E): Boolean = {
    -    if (element != null) {
    -      val currentVal = mapView.get(element)
    -      if (currentVal != null) {
    -        mapView.put(element, currentVal + 1L)
    -        false
    -      } else {
    -        mapView.put(element, 1L)
    -        true
    -      }
    -    } else {
    +    val wrappedElement = Row.of(element)
    --- End diff --
    
    I think we should remove the `E` type parameter and directly pass the `Row` 
as an argument. That will also make the extension to multiple arguments very 
easy. 
    
    Actually, I think I'll do that before merging


> Add runtime support of distinct filter using MapView 
> -----------------------------------------------------
>
>                 Key: FLINK-8689
>                 URL: https://issues.apache.org/jira/browse/FLINK-8689
>             Project: Flink
>          Issue Type: Sub-task
>            Reporter: Rong Rong
>            Assignee: Rong Rong
>            Priority: Major
>
> This ticket should cover distinct aggregate function support to codegen for 
> *AggregateCall*, where *isDistinct* fields is set to true.
> This can be verified using the following SQL, which is not currently 
> producing correct results.
> {code:java}
> SELECT
>   a,
>   SUM(b) OVER (PARTITION BY a ORDER BY proctime ROWS BETWEEN 5 PRECEDING AND 
> CURRENT ROW)
> FROM
>   MyTable{code}
>  
>  



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