[
https://issues.apache.org/jira/browse/HIVE-8844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Szehon Ho updated HIVE-8844:
----------------------------
Resolution: Fixed
Status: Resolved (was: Patch Available)
Already committed to spark branch last night, let's make another jira to
simplify this then.
> 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: spark-branch
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
