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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/05/01 21:28:06 UTC
[jira] [Updated] (SPARK-6076) Fix a potential OOM issue when
StorageLevel is MEMORY_AND_DISK_SER
[ https://issues.apache.org/jira/browse/SPARK-6076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-6076:
-----------------------------
Assignee: Shixiong Zhu
> Fix a potential OOM issue when StorageLevel is MEMORY_AND_DISK_SER
> ------------------------------------------------------------------
>
> Key: SPARK-6076
> URL: https://issues.apache.org/jira/browse/SPARK-6076
> Project: Spark
> Issue Type: Bug
> Components: Block Manager
> Affects Versions: 1.2.1
> Reporter: Shixiong Zhu
> Assignee: Shixiong Zhu
> Priority: Minor
> Fix For: 1.4.0
>
>
> When StorageLevel is MEMORY_AND_DISK_SER, it will copy the content from file into memory, then put it into MemoryStore. See: https://github.com/apache/spark/blob/dcd1e42d6b6ac08d2c0736bf61a15f515a1f222b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala#L538
> However, if the file is bigger than the free memory, OOM will happen. A better approach is testing if there is enough memory. If not, copyForMemory should not be created, since this is an option operation.
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