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https://issues.apache.org/jira/browse/IGNITE-3084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16306076#comment-16306076
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Nikolay Izhikov commented on IGNITE-3084:
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[~vkulichenko]
{quote}IGNITE-7337 However, I would really like to have it in 2.4 as well. Do
you think that would be possible?{quote}
As far as I know, code freeze date is January 5.
I think 1 week for implementation, tests, and review is not enough.
Guess we will have some issues with data type converting - from Spark supported
to Ignite SQL supported.
Also, IGNITE-7077(custom strategy and query optimization) is done on 85-90% so
I, personally, prefer to implement IGNITE-7337 after IGNITE-7077 is done.
Val, *IF* we can move code freeze to january, 15 and you have enough time to
review my implementation on january, 5 or similar - I can try to implement
these ticket in 2.4
> Spark Data Frames Support in Apache Ignite
> ------------------------------------------
>
> Key: IGNITE-3084
> URL: https://issues.apache.org/jira/browse/IGNITE-3084
> Project: Ignite
> Issue Type: New Feature
> Components: spark
> Affects Versions: 1.5.0.final
> Reporter: Vladimir Ozerov
> Assignee: Nikolay Izhikov
> Priority: Critical
> Labels: bigdata, important
> Fix For: 2.4
>
>
> 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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