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https://issues.apache.org/jira/browse/SPARK-11276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sem Mulder updated SPARK-11276:
-------------------------------
Description:
The SizeEstimator keeps a cache of ClassInfos but this cache uses Class objects
as keys.
Which results in strong references to the Class objects. If these classes are
dynamically created
this prevents the corresponding ClassLoader from being GCed. Leading to PermGen
exhaustion.
An easy fix would be to use a WeakRef for the keys. A proposed fix can be found
here:
[https://github.com/Site2Mobile/spark/commit/21c572cbda5607d0c7c6643bfaf43e53c8aa6f8c]
We are currently running this in production and it seems to resolve the issue.
I will prepare a pull request ASAP.
was:
The SizeEstimator keeps a cache of ClassInfos but this cache uses Class objects
as keys.
Which results in strong references to the Class objects. If these classes are
dynamically created
this prevents the corresponding ClassLoader from being GCed. Leading to PermGen
exhaustion.
An easy fix would be to use a WeakRef for the keys. A proposed fix can be found
here:
[https://github.com/Site2Mobile/spark/commit/21c572cbda5607d0c7c6643bfaf43e53c8aa6f8c]
We are currently running this in production and it seems to resolve the issue.
> SizeEstimator prevents class unloading
> --------------------------------------
>
> Key: SPARK-11276
> URL: https://issues.apache.org/jira/browse/SPARK-11276
> Project: Spark
> Issue Type: Bug
> Components: Block Manager, Spark Core
> Affects Versions: 1.5.1
> Reporter: Sem Mulder
>
> The SizeEstimator keeps a cache of ClassInfos but this cache uses Class
> objects as keys.
> Which results in strong references to the Class objects. If these classes are
> dynamically created
> this prevents the corresponding ClassLoader from being GCed. Leading to
> PermGen exhaustion.
> An easy fix would be to use a WeakRef for the keys. A proposed fix can be
> found here:
> [https://github.com/Site2Mobile/spark/commit/21c572cbda5607d0c7c6643bfaf43e53c8aa6f8c]
> We are currently running this in production and it seems to resolve the issue.
> I will prepare a pull request ASAP.
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