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https://issues.apache.org/jira/browse/IGNITE-4509?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15998818#comment-15998818
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ASF GitHub Bot commented on IGNITE-4509:
----------------------------------------

GitHub user skalashnikov opened a pull request:

    https://github.com/apache/ignite/pull/1916

    IGNITE-4509: send unicast sql request when partition can be deduced f…

    …rom the query

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

    $ git pull https://github.com/gridgain/apache-ignite ignite-4509

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

    https://github.com/apache/ignite/pull/1916.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 #1916
    
----
commit 4a1768d28550286d69134ff62ee29994a0faa188
Author: skalashnikov <skalashni...@gridgain.com>
Date:   2017-05-04T11:42:40Z

    IGNITE-4509: send unicast sql request when partition can be deduced from 
the query

----


> SQL: query with condition on affinity columns and without joins and 
> subqueries can be replaced with GET
> -------------------------------------------------------------------------------------------------------
>
>                 Key: IGNITE-4509
>                 URL: https://issues.apache.org/jira/browse/IGNITE-4509
>             Project: Ignite
>          Issue Type: Task
>          Components: SQL
>    Affects Versions: 1.8
>            Reporter: Vladimir Ozerov
>            Assignee: Sergey Kalashnikov
>              Labels: performance, sql
>             Fix For: 2.1
>
>
> Simple SQL queries usually demonstrate negative scalability when more nodes 
> are added. 
> Consider the following query:
> {code}
> SELECT * FROM Person p
> WHERE p.id = ?
> {code}
> If {{Person.id}} is affinity field, then query can be replaced with plain 
> {{IgniteCache.get}} or some specialized version of GET, which will return 
> only desired fields. This optimization will guarantee smooth scale with any 
> number of nodes.



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