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From "Saikat Kanjilal (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (REEF-1791) Implement reef-runtime-spark
Date Sun, 17 Sep 2017 16:56:00 GMT

    [ https://issues.apache.org/jira/browse/REEF-1791?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16169355#comment-16169355
] 

Saikat Kanjilal commented on REEF-1791:
---------------------------------------

[~motus] I added a SparkEvaluatorRequestor to the pull request, I think we should work on
that approach and get that working end to end before implementing the DataLoader piece.  We
can discuss this when we meet.

> Implement reef-runtime-spark
> ----------------------------
>
>                 Key: REEF-1791
>                 URL: https://issues.apache.org/jira/browse/REEF-1791
>             Project: REEF
>          Issue Type: New Feature
>          Components: REEF
>            Reporter: Sergiy Matusevych
>            Assignee: Saikat Kanjilal
>         Attachments: file-1.jpeg, file.jpeg
>
>   Original Estimate: 1,344h
>  Remaining Estimate: 1,344h
>
> We need to run REEF Tasks on Spark Executors. Ideally, that should require only a few
lines of changes in the REEF application configuration. All Spark-related logic must be encapsulated
in the {{reef-runtime-spark}} module, similar to the existing e.g. {{reef-runtime-yarn}} or
{{reef-runtime-local}}. As a first step, we can have a Java-only solution, but later we'll
need to run .NET Tasks on Executors as well.
> h3. P.S. Here's a REEF Wiki page with more details: *[Spark+REEF integration|https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=73636401]*



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