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https://issues.apache.org/jira/browse/FLINK-8325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16318501#comment-16318501
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ASF GitHub Bot commented on FLINK-8325:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/5241#discussion_r160421752
--- 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 --
I had a look at the test and think that it is correct. `SELECT a FROM
Table3` returns `1, 2, 3` and `SELECT d FROM Table5` returns `1, 2, 2, 3, 3, 3,
4, 4, 4, 4, 5, 5, 5, 5, 5`. So the result of the query should be 6 times `true`
and 9 times `false`.
Which result woud you expect?
> 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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