[jira] [Updated] (SPARK-2650) Caching tables larger than memory causes OOMs

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust updated SPARK-2650:
------------------------------------

    Summary: Caching tables larger than memory causes OOMs  (was: Wrong initial sizes for in-memory column buffers)

> Caching tables larger than memory causes OOMs
> ---------------------------------------------
>
>                 Key: SPARK-2650
>                 URL: https://issues.apache.org/jira/browse/SPARK-2650
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.0.0, 1.0.1
>            Reporter: Michael Armbrust
>            Assignee: Cheng Lian
>            Priority: Critical
>
> The logic for setting up the initial column buffers is different for Spark SQL compared to Shark and I'm seeing OOMs when caching tables that are larger than available memory (where shark was okay).
> Two suspicious things: the intialSize is always set to 0 so we always go with the default.  The default looks like it was copied from code like 10 * 1024 * 1024... but in Spark SQL its 10 * 102 * 1024.



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