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https://issues.apache.org/jira/browse/FLINK-6584?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16064968#comment-16064968
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ASF GitHub Bot commented on FLINK-6584:
---------------------------------------
GitHub user twalthr opened a pull request:
https://github.com/apache/flink/pull/4199
[FLINK-6584] [table] Support multiple consecutive windows in SQL
This allows for accessing rowtime and proctime attributes of windows in
SQL. It introduces `TUMBLE_ROWTIME`, `TUMBLE_PROCTIME` etc. It also allows for
multiple consecutive windows such as:
```
SELECT
TUMBLE_ROWTIME(rowtime, INTERVAL '0.004' SECOND),
TUMBLE_END(rowtime, INTERVAL '0.004' SECOND),
COUNT(`int`) as `int`
FROM (
SELECT
TUMBLE_ROWTIME(rowtime, INTERVAL '0.002' SECOND) AS rowtime,
COUNT(`int`) as `int`
FROM $table
GROUP BY TUMBLE(rowtime, INTERVAL '0.002' SECOND)
)
GROUP BY TUMBLE(rowtime, INTERVAL '0.004' SECOND)```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/twalthr/flink FLINK-6584
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/4199.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4199
----
commit 28fcb9250e85d02d70a956ea36ade54905b6b56d
Author: twalthr <[email protected]>
Date: 2017-05-23T13:57:23Z
[FLINK-6584] [table] Support multiple consecutive windows in SQL
----
> Support multiple consecutive windows in SQL
> -------------------------------------------
>
> Key: FLINK-6584
> URL: https://issues.apache.org/jira/browse/FLINK-6584
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Timo Walther
> Assignee: Timo Walther
>
> Right now, the Table API supports multiple consecutive windows as follows:
> {code}
> val table = stream.toTable(tEnv, 'rowtime.rowtime, 'int, 'double, 'float,
> 'bigdec, 'string)
> val t = table
> .window(Tumble over 2.millis on 'rowtime as 'w)
> .groupBy('w)
> .select('w.rowtime as 'rowtime, 'int.count as 'int)
> .window(Tumble over 4.millis on 'rowtime as 'w2)
> .groupBy('w2)
> .select('w2.rowtime, 'w2.end, 'int.count)
> {code}
> Similar behavior should be supported by the SQL API as well. We need to
> introduce a new auxiliary group function, but this should happen in sync with
> Apache Calcite.
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