[ 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)