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https://issues.apache.org/jira/browse/IGNITE-3084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16179277#comment-16179277
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ASF GitHub Bot commented on IGNITE-3084:
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GitHub user nizhikov opened a pull request:
https://github.com/apache/ignite/pull/2742
IGNITE-3084: Prototype of Ignite DataFrame support.
* DataSource and DataFrame implementation for Ignite SQL Tables.
* IgniteCatalog implementation.
* Some examples provided.
* There is only placeholer for an Ignite extra optimization and strategies.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/nizhikov/ignite IGNITE-3084
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/ignite/pull/2742.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 #2742
----
commit f54c51e863665b170a6c59d6c57a9dd52caf3a13
Author: Nikolay Izhikov <[email protected]>
Date: 2017-09-05T14:02:46Z
IGNITE-3084: Prototype of Ignite DataFrame support. IgniteCatalog
implementation. Some examples provided. There is only placeholer for an Ignite
extra optimization and strategies.
----
> Spark Data Frames Support in Apache Ignite
> ------------------------------------------
>
> Key: IGNITE-3084
> URL: https://issues.apache.org/jira/browse/IGNITE-3084
> Project: Ignite
> Issue Type: Task
> Components: spark
> Affects Versions: 1.5.0.final
> Reporter: Vladimir Ozerov
> Assignee: Nikolay Izhikov
> Labels: bigdata
>
> Apache Spark already benefits from integration with Apache Ignite. The latter
> provides shared RDDs, an implementation of Spark RDD, that help Spark to
> share a state between Spark workers and execute SQL queries much faster. The
> next logical step is to enable support for modern Spark Data Frames API in a
> similar way.
> As a contributor, you will be fully in charge of the integration of Spark
> Data Frame API and Apache Ignite.
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