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https://issues.apache.org/jira/browse/FLINK-10976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16718451#comment-16718451
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ASF GitHub Bot commented on FLINK-10976:
----------------------------------------

hequn8128 commented on a change in pull request #7235: [FLINK-10976] [table] 
Add support for aggregate to table API
URL: https://github.com/apache/flink/pull/7235#discussion_r240877558
 
 

 ##########
 File path: docs/dev/table/tableApi.md
 ##########
 @@ -1682,6 +1682,36 @@ The `OverWindow` defines a range of rows over which 
aggregates are computed. `Ov
 
 {% top %}
 
+### Aggregate
+
+Aggregate performs an aggregate operation with an aggregate function. You have 
to close the
+"aggregate" with a select statement. The output will be flattened if the 
output type is a
+composite type.
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+tableEnv.registerFunction("myAggFunc", new MyAggregateFunction());
 
 Review comment:
   How about info user that `MyAggregateFunction` is an `AggregateFunction` by 
define a variable: `AggregateFunction<?,?> myAggFunc = new 
MyAggregateFunction()`. Same as the scala example. We will have Table aggregate 
functions later. I think it would be nice if we distinguish them.

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> Add Aggregate operator to Table API
> -----------------------------------
>
>                 Key: FLINK-10976
>                 URL: https://issues.apache.org/jira/browse/FLINK-10976
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API &amp; SQL
>            Reporter: sunjincheng
>            Assignee: Dian Fu
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.8.0
>
>
> Add Aggregate operator to Table API as described in [Google 
> doc|https://docs.google.com/document/d/1tnpxg31EQz2-MEzSotwFzqatsB4rNLz0I-l_vPa5H4Q/edit#heading=h.q23rny2iglsr].
> The usage:
> {code:java}
> val res = tab
>  .groupBy('a) // leave out groupBy-clause to define global aggregates
>  .agg(fun: AggregateFunction)  // output has columns 'a, 'b, 'c
>  .select('a, 'c)
> {code}



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