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https://issues.apache.org/jira/browse/FLINK-5315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16598824#comment-16598824
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ASF GitHub Bot commented on FLINK-5315:
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walterddr commented on a change in pull request #6521: [FLINK-5315][table]
Adding support for distinct operation for table API on DataStream
URL: https://github.com/apache/flink/pull/6521#discussion_r214386228
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File path: docs/dev/table/udfs.md
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@@ -650,6 +650,36 @@ tEnv.sqlQuery("SELECT user, wAvg(points, level) AS
avgPoints FROM userScores GRO
</div>
</div>
+User-defined aggregation function can be used with `distinct` modifiers. To
calculate the aggregate results only for distinct values, simply add the
distinct modifier towards the aggregation function.
Review comment:
Done. yes I agree.
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> Support distinct aggregations in table api
> ------------------------------------------
>
> Key: FLINK-5315
> URL: https://issues.apache.org/jira/browse/FLINK-5315
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Kurt Young
> Assignee: Rong Rong
> Priority: Major
> Labels: pull-request-available
>
> Support distinct aggregations in Table API in the following format:
> For Expressions:
> {code:scala}
> 'a.count.distinct // Expressions distinct modifier
> {code}
> For User-defined Function:
> {code:scala}
> singleArgUdaggFunc.distinct('a) // FunctionCall distinct modifier
> multiArgUdaggFunc.distinct('a, 'b) // FunctionCall distinct modifier
> {code}
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