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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HIVE-11276) Optimization around job submission and adding jars [Spark Branch]
Date Fri, 17 Jul 2015 12:58:04 GMT

     [ https://issues.apache.org/jira/browse/HIVE-11276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang resolved HIVE-11276.
--------------------------------
    Resolution: Not A Problem

> Optimization around job submission and adding jars [Spark Branch]
> -----------------------------------------------------------------
>
>                 Key: HIVE-11276
>                 URL: https://issues.apache.org/jira/browse/HIVE-11276
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>    Affects Versions: 1.1.0
>            Reporter: Xuefu Zhang
>            Assignee: Chengxiang Li
>
> It seems that Hive on Spark has some room for performance improvement on job submission.
Specifically, we are calling refreshLocalResources() for every job submission despite there
is are no changes in the jar list. Since Hive on Spark is reusing the containers in the whole
user session, we might be able to optimize that.
> We do need to take into consideration the case of dynamic allocation, in which new executors
might be added.
> This task is some R&D in this area.



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