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https://issues.apache.org/jira/browse/IGNITE-8596?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16553088#comment-16553088
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ASF GitHub Bot commented on IGNITE-8596:
----------------------------------------

GitHub user AMashenkov opened a pull request:

    https://github.com/apache/ignite/pull/4413

    IGNITE-8596: Avoid map requests to non-affinity index segments.

    

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

    $ git pull https://github.com/gridgain/apache-ignite ignite-8596

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

    https://github.com/apache/ignite/pull/4413.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 #4413
    
----
commit bbf64a298d4eeb7cae3b78c14d86302c530a73dc
Author: Andrey V. Mashenkov <andrey.mashenkov@...>
Date:   2018-07-23T16:14:51Z

    IGNITE-8596: Avoid map requests to non-affinity index segments.

----


> SQL: remove unnecessary index lookups when query parallelism is enabled
> -----------------------------------------------------------------------
>
>                 Key: IGNITE-8596
>                 URL: https://issues.apache.org/jira/browse/IGNITE-8596
>             Project: Ignite
>          Issue Type: Task
>          Components: sql
>    Affects Versions: 2.5
>            Reporter: Vladimir Ozerov
>            Assignee: Andrew Mashenkov
>            Priority: Major
>              Labels: performance
>             Fix For: 2.7
>
>
> See 
> {{org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor#onQueryRequest}}
>  method. If table is segmented, we will submit as many SQL requests as much 
> segments. But consider a case when target cache partition(s) is already 
> defined by user or derived through partition pruning. In this case most of 
> segments will not contain useful information and return empty result set. At 
> the same time these queries may impose index or data page scans, thus 
> consuming resources without a reason.
> To mitigate the problem we should not submit SQL requests to segments we are 
> not interested in.
> Note that it is not sufficient to simply skip SQL requests on mapper, because 
> reducer expects separate response for every message. We should fix both local 
> mapper logic as well as protocol.



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