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  1. Camel
  2. CAMEL-10432

concurrentlinkedhashmap used by LRU cache consumes 100MB memory on 1024 core Solaris T5

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Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 2.17.1
    • 2.18.0
    • camel-core
    • None
    • Solaris T5 1024 core machine
      java 1.7.045

    Description

      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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            davsclaus Claus Ibsen
            mbaker@progress.com Matt Baker
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            Dates

              Created:
              Updated:
              Resolved: