[
https://issues.apache.org/jira/browse/FLINK-2980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15834602#comment-15834602
]
ASF GitHub Bot commented on FLINK-2980:
---------------------------------------
Github user twalthr commented on a diff in the pull request:
https://github.com/apache/flink/pull/3026#discussion_r97298700
--- Diff: docs/dev/table_api.md ---
@@ -790,6 +790,40 @@ val result = in.groupBy('a).select('a, 'b.sum as 'd);
</tr>
<tr>
+ <td><strong>GroupingSets</strong></td>
+ <td>
+ <p>Similar to a SQL GROUP BY GROUPING SETS clause. A GROUPING SETS
expression allows to selectively specify the
+ set of groups that you want to create within a GROUP BY clause.</p>
+{% highlight scala %}
+val in = ds.toTable(tableEnv, 'a, 'b, 'c);
+val result = in.groupingSets(('a, 'b), 'b, ()).select('a, 'b, 'c.sum as
'd);
+{% endhighlight %}
+ </td>
+ </tr>
+
+ <tr>
+ <td><strong>Cube</strong></td>
+ <td>
+ <p>Similar to a SQL GROUP BY CUBE clause. A CUBE expression will
generate subtotals for all combinations of the dimensions specified.</p>
--- End diff --
Would be great if you could also add an example. E.g. `.cube('a, 'b)` is
equivalent to `.groupingSets(...)`.
> Add CUBE/ROLLUP/GROUPING SETS operator in Table API.
> ----------------------------------------------------
>
> Key: FLINK-2980
> URL: https://issues.apache.org/jira/browse/FLINK-2980
> Project: Flink
> Issue Type: New Feature
> Components: Documentation, Table API & SQL
> Reporter: Chengxiang Li
> Assignee: Alexander Chermenin
> Attachments: Cube-Rollup-GroupSet design doc in Flink.pdf
>
>
> Computing aggregates over a cube/rollup/grouping sets of several dimensions
> is a common operation in data warehousing. It would be nice to have them in
> Table API.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
