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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (HIVE-7371) Identify a minimum set of JARs needed to ship to Spark cluster [Spark Branch]
Date Thu, 10 Jul 2014 03:25:05 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang reassigned HIVE-7371:
---------------------------------

    Assignee: Chengxiang Li

> Identify a minimum set of JARs needed to ship to Spark cluster [Spark Branch]
> -----------------------------------------------------------------------------
>
>                 Key: HIVE-7371
>                 URL: https://issues.apache.org/jira/browse/HIVE-7371
>             Project: Hive
>          Issue Type: Task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Chengxiang Li
>
> Currently, Spark client ships all Hive JARs, including those that Hive depends on, to
Spark cluster when a query is executed by Spark. This is not efficient, causing potential
library conflicts. Ideally, only a minimum set of JARs needs to be shipped. This task is to
identify such a set.
> We should learn from current MR cluster, for which I assume only hive-exec JAR is shipped
to MR cluster.
> We also need to ensure that user-supplied JARs are also shipped to Spark cluster, in
a similar fashion as MR does.



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