[jira] [Comment Edited] (SPARK-9588) spark sql cache: partition level cache eviction

["Shenghu Yang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14654077#comment-14654077 ] 

Shenghu Yang edited comment on SPARK-9588 at 8/4/15 6:13 PM:
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Thanks much @ Cheng Lian, do we have plan to add partition level cache support in future? also, when will spark 1.5 be available to public? I am seeing it's going through internal QA now.


was (Author: shenghu):
Thanks much Cheng Lian, do we have plan to add partition level cache support in future? also, when will spark 1.5 be available to public? I am seeing it's going through internal QA now.

> spark sql cache: partition level cache eviction
> -----------------------------------------------
>
>                 Key: SPARK-9588
>                 URL: https://issues.apache.org/jira/browse/SPARK-9588
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Shenghu Yang
>
> In spark 1.4, we can only do 'cache table <table_name>'. However, if we have table which will get a new partition periodically, say every 10 minutes, we have to do 'uncache' & then 'cache' the whole table, taking long time.
> Things would be much faster if we can do:
> (1) cache table <table_name> partition <newest_partition>
> (2) uncache table <table_name> partition <oldest_partition>
> This way we will alway have a sliding window type of cached data.



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