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From "Markus Weimer (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (REEF-1791) Implement reef-runtime-spark
Date Wed, 25 Oct 2017 23:32:00 GMT

    [ https://issues.apache.org/jira/browse/REEF-1791?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16219734#comment-16219734
] 

Markus Weimer commented on REEF-1791:
-------------------------------------

The H2O Sparkling Water project has to solve similar issues. From a cursory read, their implementation
with a side process is [here|https://github.com/h2oai/sparkling-water/tree/master/core/src/main/scala/org/apache/spark/h2o/backends/internal].

> 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: REEF_1791_Workflow.jpg, 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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