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https://issues.apache.org/jira/browse/FLINK-4937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15685110#comment-15685110
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ASF GitHub Bot commented on FLINK-4937:
---------------------------------------

Github user sunjincheng121 commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2792#discussion_r89014242
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/runtime/aggregate/AggregateTimeWindowFunction.scala
 ---
    @@ -52,6 +52,6 @@ class AggregateTimeWindowFunction(
         collector.timeWindow = window
     
         // call wrapped reduce function with property collector
    -    groupReduceFunction.reduce(input, collector)
    +    super.apply(key,window,input,collector)
    --- End diff --
    
    i'm sorry for that. i'll do it .


> Add incremental group window aggregation for streaming Table API
> ----------------------------------------------------------------
>
>                 Key: FLINK-4937
>                 URL: https://issues.apache.org/jira/browse/FLINK-4937
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>    Affects Versions: 1.2.0
>            Reporter: Fabian Hueske
>            Assignee: sunjincheng
>
> Group-window aggregates for streaming tables are currently not done in an 
> incremental fashion. This means that the window collects all records and 
> performs the aggregation when the window is closed instead of eagerly 
> updating a partial aggregate for every added record. Since records are 
> buffered, non-incremental aggregation requires more storage space than 
> incremental aggregation.
> The DataStream API which is used under the hood of the streaming Table API 
> features [incremental 
> aggregation|https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/windows.html#windowfunction-with-incremental-aggregation]
>  using a {{ReduceFunction}}.
> We should add support for incremental aggregation in group-windows.
> This is a follow-up task of FLINK-4691.



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