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

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-9588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-9588.
---------------------------------
    Resolution: Incomplete

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> 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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