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https://issues.apache.org/jira/browse/FLINK-8325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16318558#comment-16318558
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ASF GitHub Bot commented on FLINK-8325:
---------------------------------------

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

    https://github.com/apache/flink/pull/5241#discussion_r160430205
  
    --- Diff: 
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/runtime/batch/sql/SetOperatorsITCase.scala
 ---
    @@ -278,7 +278,14 @@ class SetOperatorsITCase(
         TestBaseUtils.compareResultAsText(results.asJava, expected)
       }
     
    +  /**
    +    * This test will checks IN for NULLs based on whether COUNT (*) and 
COUNT (a) are equal. Due to
    +    * 
[[org.apache.flink.table.plan.rules.dataSet.DataSetAggregateWithNullValuesRule]]
 will
    +    * union a NULL row in to input DataSet for non-groupBy agg. That 
caused COUNT (*) and COUNT(a)
    +    * are not equal. So this test case ignored before FLINK-8355 be fixed.
    --- End diff --
    
    `6` times true and `9` times false is my expect.. but because 
`DataSetAggregateWithNullValuesRule` we will get the `9` times `null`.  as 
follows:
    ```
     expected: [false, false, false, false, false, false, false, false, false, 
true, true, true, true, true, true]
     received: [null, null, null, null, null, null, null, null, null, true, 
true, true, true, true, true] 
    ```


> Add COUNT AGG support constant parameter, i.e. COUNT(*), COUNT(1) 
> ------------------------------------------------------------------
>
>                 Key: FLINK-8325
>                 URL: https://issues.apache.org/jira/browse/FLINK-8325
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>    Affects Versions: 1.5.0
>            Reporter: sunjincheng
>            Assignee: sunjincheng
>
> COUNT(1) with Group Window, always output 0. 
> e.g.
> DATA:
> {code}
> val data = List(
>     (1L, 1, "Hi"),
>     (2L, 2, "Hello"),
>     (4L, 2, "Hello"),
>     (8L, 3, "Hello world"),
>     (16L, 3, "Hello world"))
> {code}
> SQL:
> {code}
> SELECT b, COUNT(1) FROM MyTable GROUP BY Hop(proctime, interval '0.001' 
> SECOND, interval '0.002' SECOND),b
> {code}
> OUTPUT:
> {code}
> 1,0,1, 
> 1,0,1, 
> 2,0,1,
> 2,0,1, 
> 2,0,2, 
> 3,0,1,
> 3,0,1
> {code}



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