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From "Stavros Kontopoulos (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-22728) Unify artifact access for (mesos, standalone and yarn) when HDFS is available
Date Thu, 07 Dec 2017 12:17:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22728?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16281771#comment-16281771
] 

Stavros Kontopoulos commented on SPARK-22728:
---------------------------------------------

[~arand][~susanxhuynh] FYI.

> Unify artifact access for (mesos, standalone and yarn) when HDFS is available
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-22728
>                 URL: https://issues.apache.org/jira/browse/SPARK-22728
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Stavros Kontopoulos
>
> A unified cluster layer for caching artifacts would be very useful like in the case for
the work that has be done for Flink: https://issues.apache.org/jira/browse/FLINK-6177
> It would be great to make available the Hadoop Distributed Cache when we deploy jobs
in Mesos and Standalone envs. Hdfs is often present in many end-to-end apps out there, so
we should have an option for using it.
> I am creating this JIRA as a follow up of the discussion here: https://github.com/apache/spark/pull/18587#issuecomment-314718391



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