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https://issues.apache.org/jira/browse/SPARK-22728?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22728.
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Resolution: Incomplete
> Unify artifact access for (mesos, standalone and yarn) when HDFS is available
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>
> 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
> Priority: Major
> Labels: bulk-closed
>
> 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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