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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/08/10 23:28:11 UTC
[jira] [Commented] (SPARK-2650) Caching tables larger than memory
causes OOMs
[ https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14092209#comment-14092209 ]
Apache Spark commented on SPARK-2650:
-------------------------------------
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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