[ 
https://issues.apache.org/jira/browse/FLINK-4832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15702286#comment-15702286
 ] 

ASF GitHub Bot commented on FLINK-4832:
---------------------------------------

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

    https://github.com/apache/flink/pull/2840#discussion_r89809360
  
    --- Diff: 
flink-libraries/flink-table/src/test/scala/org/apache/flink/api/scala/batch/table/AggregationsITCase.scala
 ---
    @@ -400,5 +400,37 @@ class AggregationsITCase(
         TestBaseUtils.compareResultAsText(results.asJava, expected)
       }
     
    +  @Test
    +  def testAggregateEmptyDataSets(): Unit = {
    --- End diff --
    
    Table API and SQL are internally represented the same way.
    We can drop the expensive ITCase for the Table API and add tests that check 
the plan based on `TableTestBase` for the Table API instead.


> Count/Sum 0 elements
> --------------------
>
>                 Key: FLINK-4832
>                 URL: https://issues.apache.org/jira/browse/FLINK-4832
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table API & SQL
>            Reporter: Timo Walther
>            Assignee: Anton Mushin
>
> Currently, the Table API is unable to count or sum up 0 elements. We should 
> improve DataSet aggregations for this. Maybe by union the original DataSet 
> with a dummy record or by using a MapPartition function. Coming up with a 
> good design for this is also part of this issue.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to