On Fri, Oct 7, 2011 at 1:33 PM, Igor Katson <igor.kat...@gmail.com> wrote: > When I first started benchmarking one of my Django sites, > http://trip-travel.ru/ (using postgres driver pypq), > I was disappointed by the results. PyPy was visually much slower than > cPython (I just looked at how the site loads in the browser) > > But today I got some incredible results, I finally made PyPy to work faster > than cPython, and found out that it got faster after loading the page > several hundred times with "ab" or "siege" > > Here a the results, of mean response time by querying the home page with > apache's "ab" (cPython 2.7.2, Django 1.3, PyPy 1.6.0), served with cherrypy > wsgi server: > > After 10 requests (excluding the first request): > cPython - 163.529 ms > PyPy - 460.879 ms > > 50 request more: > cPython - 168.539 > PyPy - 249.850 > > 100 requests more: > cPython - 166.278 ms > PyPy - 131.104 > > 100 requests more: > cPython - 165.820 > PyPy - 115.446 > > 300 requests more: > cPython - 165.543 > PyPy - 107.636 > > 300 requests more: > cPython - 166.425 > PyPy - 103.065
Thanks for doing the benchmarks :) > > As we can see, the JIT needs much time to warm up, but when it does, the > result is pretty noticeable. > By the way, with psycopg2, the site responds for 155.766 ms in average (only > 10 ms faster), so using PyPy with Django makes much sense for me. > > As for now, pypy cannot run with uWSGI, which I use in production, but maybe > i'll switch to PyPy for production deployments if "PyPy + PyPQ + Some pure > python WSGI server" suite will outperform (uWSGI + cPython + psycopg2). > Though, the need to load the page 500 times after each server reload is not > comfortable. I've heard people using gunicorn. Maybe this is a good try? Loading the pages is indeed annoying, but you need to load it a couple times for results not to be noticably slower :) We kind of know that the JIT warmup time is high, but it's partly a thing to fix and partly an inherent property of the JIT. Cheers, fijal _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
