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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-7077) Spark Data Frame Support. Strategy to convert complete query to Ignite SQL
Date Wed, 17 Jan 2018 16:24:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-7077?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16328944#comment-16328944

ASF GitHub Bot commented on IGNITE-7077:

GitHub user nizhikov opened a pull request:


    IGNITE-7077: Implementation of Spark query optimization.


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

    $ git pull https://github.com/nizhikov/ignite IGNITE-7077

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


To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #3397


> Spark Data Frame Support. Strategy to convert complete query to Ignite SQL
> --------------------------------------------------------------------------
>                 Key: IGNITE-7077
>                 URL: https://issues.apache.org/jira/browse/IGNITE-7077
>             Project: Ignite
>          Issue Type: New Feature
>          Components: spark
>    Affects Versions: 2.3
>            Reporter: Nikolay Izhikov
>            Assignee: Nikolay Izhikov
>            Priority: Major
>              Labels: bigdata
>             Fix For: 2.4
> Basic support of Spark Data Frame for Ignite implemented in IGNITE-3084.
> We need to implement custom spark strategy that can convert whole Spark SQL query to
Ignite SQL Query if query consists of only Ignite tables.
> The strategy does nothing if spark query includes not only Ignite tables.
> Memsql implementation can be taken as an example - https://github.com/memsql/memsql-spark-connector

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