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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-5653) Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL
Date Thu, 30 Mar 2017 09:31:41 GMT

    [ https://issues.apache.org/jira/browse/FLINK-5653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15948745#comment-15948745
] 

ASF GitHub Bot commented on FLINK-5653:
---------------------------------------

GitHub user stefanobortoli opened a pull request:

    https://github.com/apache/flink/pull/3653

    [FLINK-5653] Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL

    Thanks for contributing to Apache Flink. Before you open your pull request, please take
the following check list into consideration.
    If your changes take all of the items into account, feel free to open your pull request.
For more information and/or questions please refer to the [How To Contribute guide](http://flink.apache.org/how-to-contribute.html).
    In addition to going through the list, please provide a meaningful description of your
changes.
    
    - [X] General
      - The pull request references the related JIRA issue ("[FLINK-XXX] Jira title text")
      - The pull request addresses only one issue
      - Each commit in the PR has a meaningful commit message (including the JIRA id)
    
    - [ X] Documentation
      - Documentation has been added for new functionality
      - Old documentation affected by the pull request has been updated
      - JavaDoc for public methods has been added
    
    - [ X] Tests & Build
      - Functionality added by the pull request is covered by tests
      - `mvn clean verify` has been executed successfully locally or a Travis build has passed


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/huawei-flink/flink FLINK-5653d

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/3653.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 #3653
    
----
commit 5ca561b0a3cec68e9386286eb445275ba9b4ce77
Author: Stefano Bortoli <s.bortoli@gmail.com>
Date:   2017-03-30T09:28:41Z

    Over aggregation with row range ang procTime semantic

----


> Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL
> --------------------------------------------------------------------
>
>                 Key: FLINK-5653
>                 URL: https://issues.apache.org/jira/browse/FLINK-5653
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: Fabian Hueske
>            Assignee: Stefano Bortoli
>
> The goal of this issue is to add support for OVER ROWS aggregations on processing time
streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT 
>   a, 
>   SUM(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT
ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING AND CURRENT
ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single threaded execution).
> - The ORDER BY clause may only have procTime() as parameter. procTime() is a parameterless
scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5656)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some of the restrictions
are trivial to address, we can add the functionality in this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with RexOver expression).



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