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https://issues.apache.org/jira/browse/FLINK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890605#comment-15890605
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ASF GitHub Bot commented on FLINK-5768:
---------------------------------------

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

    https://github.com/apache/flink/pull/3423#discussion_r103729741
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateReduceGroupFunction.scala
 ---
    @@ -95,11 +110,14 @@ class AggregateReduceGroupFunction(
             output.setField(after, last.getField(previous))
         }
     
    -    // get the final aggregate value and set it to output.
    +    // get final aggregate value and set to output.
         aggregateMapping.foreach {
    -      case (after, previous) =>
    +      case (after, previous) => {
             val agg = aggregates(previous)
    -        output.setField(after, 
agg.getValue(agg.merge(accumulatorList(previous))))
    +        val accumulator = agg.merge(accumulatorList(previous))
    +        val result = aggregates(previous).getValue(accumulator)
    --- End diff --
    
    `aggregates(previous)` -> `agg`


> Apply new aggregation functions for datastream and dataset tables
> -----------------------------------------------------------------
>
>                 Key: FLINK-5768
>                 URL: https://issues.apache.org/jira/browse/FLINK-5768
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: Shaoxuan Wang
>            Assignee: Shaoxuan Wang
>
> Apply new aggregation functions for datastream and dataset tables
> This includes:
> 1. Change the implementation of the DataStream aggregation runtime code to 
> use new aggregation functions and aggregate dataStream API.
> 2. DataStream will be always running in incremental mode, as explained in 
> 06/Feb/2017 in FLINK5564.
> 2. Change the implementation of the Dataset aggregation runtime code to use 
> new aggregation functions.
> 3. Clean up unused class and method.



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