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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7503) Support Hive's multi-table insert query with Spark
Date Fri, 01 Aug 2014 07:56:38 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang updated HIVE-7503:
------------------------------

    Assignee:     (was: Xuefu Zhang)

Unassigned it from me, as I will not be able to work on this in the next few weeks. (I will
be in the discussions, though.) Please feel free to take it if anyone likes to work on this.

> Support Hive's multi-table insert query with Spark
> --------------------------------------------------
>
>                 Key: HIVE-7503
>                 URL: https://issues.apache.org/jira/browse/HIVE-7503
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>
> For Hive's multi insert query (https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML),
there may be an MR job for each insert.  When we achieve this with Spark, it would be nice
if all the inserts can happen concurrently.
> It seems that this functionality isn't available in Spark. To make things worse, the
source of the insert may be re-computed unless it's staged. Even with this, the inserts will
happen sequentially, making the performance suffer.
> This task is to find out what takes in Spark to enable this without requiring staging
the source and sequential insertion. If this has to be solved in Hive, find out an optimum
way to do this.



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