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From "Andrew Mashenkov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-4106) SQL: parallelize sql queries over cache local partitions
Date Mon, 20 Feb 2017 19:20:44 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-4106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15874980#comment-15874980
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Andrew Mashenkov commented on IGNITE-4106:
------------------------------------------

Minor API fix: qryParallelismLevel can be set on per cache base.
Allow REPLICATED cache to be used with segmented PARTITIONED in one query.
Tests added.

Sync-ed with master.

> SQL: parallelize sql queries over cache local partitions
> --------------------------------------------------------
>
>                 Key: IGNITE-4106
>                 URL: https://issues.apache.org/jira/browse/IGNITE-4106
>             Project: Ignite
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.7
>            Reporter: Andrew Mashenkov
>            Assignee: Andrew Mashenkov
>              Labels: performance
>             Fix For: 1.9
>
>         Attachments: 1node-4thread.jfr, 4node-1thread.jfr
>
>
> If we run SQL query on cache partitioned over several cluster nodes, it will be split
into several queries running in parallel. But really we will have one thread per query on
each node.
> So, for now, to improve SQL query performance we need to run more Ignite instances or
split caches manually.
> It seems to be better to split local SQL queries over cache partitions, so we would be
able to parallelize SQL query on every single node and utilize CPU more efficiently.



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