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https://issues.apache.org/jira/browse/CAMEL-10432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Claus Ibsen resolved CAMEL-10432.
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Resolution: Fixed
Assignee: Claus Ibsen
Fix Version/s: 2.18.0
> concurrentlinkedhashmap used by LRU cache consumes 100MB memory on 1024 core
> Solaris T5
> ---------------------------------------------------------------------------------------
>
> Key: CAMEL-10432
> URL: https://issues.apache.org/jira/browse/CAMEL-10432
> Project: Camel
> Issue Type: Improvement
> Components: camel-core
> Affects Versions: 2.17.1
> Environment: Solaris T5 1024 core machine
> java 1.7.045
> Reporter: Matt Baker
> Assignee: Claus Ibsen
> Fix For: 2.18.0
>
>
> Cloned from: AMQ-6492
> On a Solaris T5 with 1024 cores, the amount of memory used by LRUCache which
> in turn is using ConcurrentLinkedHashMap from
> https://github.com/ben-manes/concurrentlinkedhashmap
> consumes about 20MB of memory. In my install this correlates to over 300MB
> of memory.
> concurrentlinkedhashmap allocates memory based on CPU count, with no upper
> limit, so each instance of LRUCache in memory consumes more memory than is
> really needed.
> See AMQ-6492 for screenshots (didn't want to copy/paste them here)
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