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https://issues.apache.org/jira/browse/FLINK-3225?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15122644#comment-15122644
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ASF GitHub Bot commented on FLINK-3225:
---------------------------------------

GitHub user fhueske opened a pull request:

    https://github.com/apache/flink/pull/1559

    [FLINK-3225] Implemented optimization of Table API queries via Calcite

    - added logical Flink nodes and translation rules
    - added stubs for DataSet translation rules
    - ported DataSetNodes to Scala
    - reactivated tests and added expected NotImplementedError

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

    $ git pull https://github.com/fhueske/flink calciteOpt

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

    https://github.com/apache/flink/pull/1559.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 #1559
    
----
commit 3fba706ab39e3fdb1d4c3b307a36a2184476a304
Author: Fabian Hueske <fhue...@apache.org>
Date:   2016-01-26T12:22:38Z

    [FLINK-3225] Implemented optimization of Table API queries via Calcite
    
    - added logical Flink nodes and translation rules
    - added stubs for DataSet translation rules
    - ported DataSetNodes to Scala
    - reactivated tests and added expected NotImplementedError

----


> Optimize logical Table API plans in Calcite
> -------------------------------------------
>
>                 Key: FLINK-3225
>                 URL: https://issues.apache.org/jira/browse/FLINK-3225
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API
>            Reporter: Fabian Hueske
>            Assignee: Fabian Hueske
>
> This task implements the optimization of logical Table API plans with Apache 
> Calcite. The input of the optimization process is a logical query plan 
> consisting of Calcite RelNodes. FLINK-3223 translates Table API queries into 
> this representation.
> The result of this issue is an optimized logical plan.
> Calcite's rule-based optimizer applies query rewriting and optimization 
> rules. For Batch SQL, we can use (a subset of) Calcite’s default optimization 
> rules. 
> For this issue we have to 
> - add the Calcite optimizer to the translation process
> - select an appropriate set of batch optimization rules from Calcite’s 
> default rules. We can reuse the rules selected by Timo’s first SQL 
> implementation.



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