[ https://issues.apache.org/jira/browse/SPARK-22728?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-22728. ---------------------------------- Resolution: Incomplete > 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 > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org