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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-8844) Choose a persisent policy for RDD caching [Spark Branch]
Date Fri, 29 May 2015 02:31:38 GMT

     [ https://issues.apache.org/jira/browse/HIVE-8844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang updated HIVE-8844:
------------------------------
    Fix Version/s:     (was: spark-branch)
                   1.1.0

> Choose a persisent policy for RDD caching [Spark Branch]
> --------------------------------------------------------
>
>                 Key: HIVE-8844
>                 URL: https://issues.apache.org/jira/browse/HIVE-8844
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Jimmy Xiang
>             Fix For: 1.1.0
>
>         Attachments: HIVE-8844.1-spark.patch, HIVE-8844.2-spark.patch, HIVE-8844.3-spark.patch
>
>
> RDD caching is used for performance reasons in some multi-insert queries. Currently,
we call RDD.cache(), which indicates a persistency policy of using memory only. We should
choose a better policy. I think memory+disk will be good enough. Refer to RDD.persist() for
more information.



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