Re: Channels - unbalanced load for threaded workers

Yes. Running with no --threads option will give you the best spread, but result in more RAM usage. Rather than relying on process statistics via htop or similar, I'd suggest benchmarking actual throughput, as that's the thing you want to optimise for at the end of the day; it might be that one way uses less CPU but has higher throughput, for example.

Andrew

On Thu, May 18, 2017 at 12:36 AM, <biwanczuk@gmail.com> wrote:

Yes, that was my concern that only some processes are loaded. So running more 'runworker' commands with less '--threads' should give better results?

W dniu czwartek, 18 maja 2017 02:18:56 UTC+2 użytkownik Andrew Godwin napisał:

Hi - I am not sure what you are saying exactly. That the load only goes to some processes? Python threads are strange, the OS may not show stats correctly and I'd generally advise multiple processes instead.

Andrew

On Wed, May 17, 2017 at 1:53 AM, <biwa...@gmail.com> wrote:

I am trying to deploy Django project with Channels. After some trial and error I settled on 4 workers with 16 threads each. However as attached screen shows, the processes that are spawned by supervisor have CPU usage at ~15% while threads are around ~1-2%. Number of connections at the moment is less than 100. I tried load testing this setup, and as more messages are coming in the CPU usage is increasing both on processes that were spawned by supervisor and threads of these processes - so there is still disproportion (~50% and ~10%). Is it normal behavior? Any tips to configure it some other way to better balance the load? 

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