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https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14092209#comment-14092209
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Apache Spark commented on SPARK-2650:
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User 'marmbrus' has created a pull request for this issue:
https://github.com/apache/spark/pull/1880
> 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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