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Posted to issues@spark.apache.org by "liuxian (JIRA)" <ji...@apache.org> on 2017/06/14 05:46:00 UTC
[jira] [Updated] (SPARK-21090) Optimize the unified memory manager
code
[ https://issues.apache.org/jira/browse/SPARK-21090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
liuxian updated SPARK-21090:
----------------------------
Description:
1.In *acquireStorageMemory*, when the MemoryMode is OFF_HEAP ,the *maxMemory* should be modified to *maxOffHeapStorageMemory*
2. Borrow memory from execution, *numBytes* modified to *numBytes - storagePool.memoryFree* will be more reasonable
was:
1.In *acquireStorageMemory*, when the MemoryMode is OFF_HEAP ,the `maxMemory` should be modified to `maxOffHeapStorageMemory`
2. Borrow memory from execution, `numBytes` modified to `numBytes - storagePool.memoryFree` will be more reasonable
> Optimize the unified memory manager code
> -----------------------------------------
>
> Key: SPARK-21090
> URL: https://issues.apache.org/jira/browse/SPARK-21090
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: liuxian
>
> 1.In *acquireStorageMemory*, when the MemoryMode is OFF_HEAP ,the *maxMemory* should be modified to *maxOffHeapStorageMemory*
> 2. Borrow memory from execution, *numBytes* modified to *numBytes - storagePool.memoryFree* will be more reasonable
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