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https://issues.apache.org/jira/browse/FLINK-4832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15684615#comment-15684615
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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_r88977919
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/plan/nodes/dataset/DataSetAggregate.scala
---
@@ -157,4 +161,41 @@ class DataSetAggregate(
case _ => result
}
}
+
+ /**
+ * Dummy [[Row]] into a [[DataSet]] for result after map operations.
+ * @param mapOperator after which insert dummy records
+ * @param tableEnv [[BatchTableEnvironment]] for getting rel builder
and type factory
+ * @tparam IN mapOperator input type
+ * @tparam OUT mapOperator output type
+ * @return DataSet of type Row is contains null literals for columns
+ */
+ private def dummyRow[IN,OUT](
--- End diff --
I would not call this "Dummy row" but "Null row". Dummy row sounds like a
useless mock up, but our null row has a good purpose.
> 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.
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