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https://issues.apache.org/jira/browse/FLINK-5315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16585955#comment-16585955
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ASF GitHub Bot commented on FLINK-5315:
---------------------------------------
fhueske 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_r211207618
##########
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>
+ </td>
+ <td>
+ <p>Similar to a SQL DISTINCT AGGREGATION clause such as COUNT(DISTINCT
a). Returns aggregation results with a following running aggregation operator
to aggregate over rows with only distinct value. Distinct aggregations can
operator with <b>GroupBy Aggregation</b>, <b>GroupBy Window Aggregation</b> and
<b>Over Window Aggregation</b>.</p>
Review comment:
* Lowercase `AGGREGATION`
* `Returns aggregation results with a following running aggregation operator
to aggregate over rows with only distinct value.` -> `Declares that an
aggregation function (built-in or user-defined) is only applied on distinct
input values.`
* `Distinct aggregations can operator with ...` -> `Distinct can be applied
to ...`
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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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