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  1. Cloudron Forum
  2. OnlyOffice
  3. High CPU use by onlyoffice (& a possible fix)

High CPU use by onlyoffice (& a possible fix)

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  • R Offline
    R Offline
    Robin
    wrote on last edited by
    #1

    Hi,

    I noticed that beam.smp is using a lot of CPU inside my cloudron instance. I tracked this down to belonging to onlyoffice, and doing some further digging, I found this post that might be interesting.

    tl;dr:

    When I set the number of scheduler threads to 1 the CPU usage dropped from 23 % to 3 %.

    Setting RABBITMQ_SERVER_ADDITIONAL_ERL_ARGS="+S 1:1" apparently does the trick, and there's a linked issue on the onlyoffice github that appears to do exactly that as a part of their Dockerfile.

    I'm unsure how to test this, but perhaps this may be the same issue / fix for Cloudron's case, too?

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    • nebulonN Offline
      nebulonN Offline
      nebulon
      Staff
      wrote on last edited by nebulon
      #2

      I haven't seen the high cpu usage as such, but according to the docs about the number of rabbitmq schedulers, together with probably typical Cloudron use-cases, I think it regardless makes sense to set this to 1 scheduler only until we see the need to make that dynamic or higher by default. For more context https://www.rabbitmq.com/runtime.html#scheduling

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      • nebulonN Offline
        nebulonN Offline
        nebulon
        Staff
        wrote on last edited by
        #3

        Since I am not able to verify the fix and the github issues offers not only the scheduler count solution but also some other readiness and such as possible fixes, I have uploaded a package version for testing now with the scheduler count fixed to 1.

        @Robin please install via https://my.<example.com>/#/appstore/com.onlyoffice.coudronapp?version=1.6.1 and let us know if this fixes your issue.

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        • R Offline
          R Offline
          Robin
          wrote on last edited by
          #4

          I haven't seen the high cpu usage as such

          Might be that this is due to the differences in HW config we're running on? As I understand it, this will "scale up" based on the number of cores you have. I'm running on a Threadripper, which has rather a few of them.

          Trying to install the fixed version now, observations:

          • Before install, beam.smp is taking up a steady 6% CPU
          • After upgrading (via cloudron update --app xxx --appstore-id com.onlyoffice.coudronapp@1.6.1), CPU use is more or less nonexistent: I no longer see it in the top consumers at all

          So I think this looks successful 🙂

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          • nebulonN Offline
            nebulonN Offline
            nebulon
            Staff
            wrote on last edited by
            #5

            Thanks for testing, I've released the new package now.

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