#37177: Performance issue in Async Middleware handling.
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Reporter: Carlton Gibson | Owner: Jacob Walls
Type: Bug | Status: assigned
Component: HTTP handling | Version: 6.0
Severity: Normal | Resolution:
Keywords: async | Triage Stage: Accepted
Has patch: 0 | Needs documentation: 0
Needs tests: 0 | Patch needs improvement: 0
Easy pickings: 0 | UI/UX: 0
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Comment (by Natalia Bidart):
Replying to [comment:10 Mykhailo Havelia]:
> In production I observed somewhat different behaviour. The convoy effect
was noticeably stronger under CPU-bound work. We found that past ~40% CPU
utilisation, response-time degradation became non-linear, so we had to
keep CPU usage below that threshold.
That's a useful data point, thanks. I think non-linear degradation is
consistent with GIL contention getting worse as CPU work rises, which my
benchmark setup wouldn't capture: the view I used does no application
work, so it really measures the framework/middleware floor. If you can
share a benchmark in any reproducible form, I'd really like to measure the
CPU-bound case directly rather than infer it.
For reference, here's how I got mine. Single process each, default
middleware stack, an async view that returns immediately, loaded with
ApacheBench:
{{{
# WSGI for baseline sync, other port
gunicorn -b 127.0.0.1:9000 -w 1 mysite.wsgi:application
# ASGI
daphne -b 127.0.0.1 -p 9001 mysite.asgi:application
# concurrent requests (change -c 10/50/100/200)
ab -n 8000 -c 50 http://127.0.0.1:9001/<async-view>/
}}}
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Ticket URL: <https://code.djangoproject.com/ticket/37177#comment:11>
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