You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:37 UTC

[jira] [Updated] (SPARK-4886) Support cache control for each partition of a Hive partitioned table

     [ https://issues.apache.org/jira/browse/SPARK-4886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-4886:
--------------------------------
    Labels: bulk-closed  (was: )

> Support cache control for each partition of a Hive partitioned table
> --------------------------------------------------------------------
>
>                 Key: SPARK-4886
>                 URL: https://issues.apache.org/jira/browse/SPARK-4886
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Xudong Zheng
>            Priority: Major
>              Labels: bulk-closed
>
> SparkSQL currently don't support control cache for each partition of a Hive partitioned table. If we could add this feature, user could have a better cache control of a cache table. And in many scenarios, the data is periodically appended into a table as a new partition, with this feature, user could easily control a sliding windows of data to be cached in memory.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org