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https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-2650.
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Resolution: Fixed
Fix Version/s: 1.1.0
Assignee: Michael Armbrust (was: Cheng Lian)
Target Version/s: 1.1.0 (was: 1.2.0)
> 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: Michael Armbrust
> Priority: Critical
> Fix For: 1.1.0
>
>
> 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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