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https://issues.apache.org/jira/browse/FLINK-5315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16598833#comment-16598833
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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_r214387582
##########
File path: docs/dev/table/tableApi.md
##########
@@ -381,6 +381,36 @@ Table result = orders
{% highlight java %}
Table orders = tableEnv.scan("Orders");
Table result = orders.distinct();
+{% endhighlight %}
+ <p><b>Note:</b> For streaming queries the required state to compute
the query result might grow infinitely depending on the number of distinct
fields. Please provide a query configuration with valid retention interval to
prevent excessive state size. See <a href="streaming.html">Streaming
Concepts</a> for details.</p>
+ </td>
+ </tr>
+ <tr>
+ <td>
+ <strong>Distinct Aggregation</strong><br>
+ <span class="label label-primary">Streaming</span>
Review comment:
I agree, I added the labels. Regarding adding the sections towards each
individual `Aggregation` I wasn't able to find a clean construct since some of
the discussions (UDAGG, built-in) are general and it's pretty messy to
replicate those 3 different ways.
I regenerated the page and it looks pretty obvious since it is within the
`aggregation` tab and all necessary information (such as Over aggregate only
applies to stream) is pretty much in the same place.
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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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