[jira] [Commented] (GEARPUMP-217) Add SQL support

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/GEARPUMP-217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16169521#comment-16169521 ] 

ASF GitHub Bot commented on GEARPUMP-217:
-----------------------------------------

GitHub user buddhiayesha2015 opened a pull request:

    https://github.com/apache/incubator-gearpump/pull/225

    [GEARPUMP-217] Convert into unit tests

    Be sure to do all of the following to help us incorporate your contribution
    quickly and easily:
    
     - [ ] Make sure the commit message is formatted like:
       `[GEARPUMP-<Jira issue #>] Meaningful description of pull request` 
     - [ ] Make sure tests pass via `sbt clean test`.
     - [ ] Make sure old documentation affected by the pull request has been updated and new documentation added for new functionality. 
    


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

    $ git pull https://github.com/BuddhiAR/incubator-gearpump master

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

    https://github.com/apache/incubator-gearpump/pull/225.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 #225
    
----
commit d83d3556206b7e1fcf2a799af492e89d6a69f779
Author: Buddhi Ayesha <bu...@cse.mrt.ac.lk>
Date:   2017-09-17T19:41:49Z

    [GEARPUMP-217] Convert into unit tests

----


> Add SQL support 
> ----------------
>
>                 Key: GEARPUMP-217
>                 URL: https://issues.apache.org/jira/browse/GEARPUMP-217
>             Project: Apache Gearpump
>          Issue Type: New Feature
>          Components: streaming
>    Affects Versions: 0.8.1
>            Reporter: Manu Zhang
>            Assignee: Buddhi Ayesha
>              Labels: gsoc2017, mentor
>
> SQL support will allow those unfamiliar with Scala/Java to use Gearpump. I propose to build SQL layer with Apache Calcite because
> 1. It has done the hard job of parsing, translating logical plan to physical plan and optimizing.
> 2. It is under active development and has a great community.
> 3. It's proved to be a good solution since Apache Storm, Apache Flink and Apache Samza all build their Streaming SQL with Apache Calcite
> Note SQL here actually means Streaming SQL dialects supported by Calcite (check reference 1 and 2). Please checkout reference 3 for an example implementation. 
> The physical plan will be translated to Gearpump high level DSL.
> References:
> 1. http://www.slideshare.net/julianhyde/streaming-sql
> 2. https://calcite.apache.org/docs/stream.html
> 3. https://github.com/milinda/samza-sql



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