I don't know :-( not sure if fixing those issues one by one is the way to go, it's not like *this* particular code is a problem, it's the culture that breeds those sort of things
On Sun, Feb 8, 2015 at 2:09 PM, Omer Katz <omer.d...@gmail.com> wrote: > Isn't there anything we can do about it? > We can open issues at the Django issue tracker if some code slows down > execution in PyPy. > > 2015-02-08 12:17 GMT+02:00 Maciej Fijalkowski <fij...@gmail.com>: >> >> Hi Tin >> >> I have a bit sad news for you, but essentially from what I looked at >> profling, the answer seems to be "don't use django, it has not been >> written with performance in mind". For example here (which features in >> django admin quite prominently, some stuff calls lazy() at each call): >> >> https://github.com/django/django/blob/master/django/utils/functional.py#L48 >> >> What does it, per call that pypy does not like: >> >> * redefines classes >> >> * walks the class __mro__ and defines tons of new methods >> >> * proxies everything through a not so efficietn mechanisms >> >> Those things quite defy the purpose of the JIT - you're making tons of >> very dynamic things that pypy generally assumes is "static enough", if >> you wanted to do the same thing in C++, you would need to call gcc >> with each request, that would not be so much fun. >> >> If you really care about performance, consider swapping your web >> framework to something more performance-oriented where JIT compilation >> can help. >> >> As a side note, we (me and my company, not to be confused with PyPy >> open source project) do offer looking at proprietary code for >> benchmarking purposes as a commercial service, look at >> baroquesoftware.com >> >> Cheers, >> fijal >> >> >> >> On Sat, Feb 7, 2015 at 1:12 AM, Tin Tvrtković <tinches...@gmail.com> >> wrote: >> > Hello, PyPy folks! >> > >> > While trying to speed up one of my Django sites, I noticed a new version >> > of >> > PyPy >> > had just been released. So I grabbed a fresh download of PyPy 3 (since >> > this >> > is >> > a Python 3 codebase) and tried taking it out for a spin. >> > >> > However, as far as I can see, whatever I try PyPy is consistently slower >> > than >> > CPython for this. >> > >> > Since this is a proprietary site, I've basically ripped out all the code >> > except >> > my settings.py and my requirements; and am benchmarking the Django admin >> > index. >> > The results are about the same. >> > >> > I've set up a small repo that can be used to reproduce the environment: >> > https://github.com/Tinche/PyPy-Django-Playground. There's additional >> > info in >> > the README there. >> > >> > These tests have been carried out on Ubuntu Trusty, 64-bit. CPython 3 is >> > the >> > system Python, 3.4. PyPy has been downloaded from the official site and >> > unzipped. >> > >> > So what I basically do is set up an admin session, and use the Django >> > main >> > admin >> > page. 200 warmup requests, then 100 benchmarked requests, look at the >> > mean >> > request time. >> > >> > Some results: >> > >> > Django's runserver, DEBUG mode: >> > >> > PyPy3 485.389 [ms] >> > CPython 3.4 105.777 [ms] >> > >> > Django's runserver, no debug: >> > >> > PyPy3 44.661 [ms] >> > CPython 3.4 18.697 [ms] >> > >> > Gunicorn, 1 worker, no debug: >> > >> > PyPy3 28.615 [ms] >> > CPython 3.4 13.532 [ms] >> > >> > I don't exactly claim to be an expert on benchmarking, but assuming my >> > site >> > is similar to the Django admin, CPython's gonna be giving me better >> > performance. >> > Also the debug runserver performance is kinda worrying. Nobody's going >> > to be >> > running this in production, but it makes development a little slower and >> > more >> > annoying than it should be. >> > >> > Is there anything to make PyPy more competitive in these kinds of >> > scenarios? >> > >> > Kind regards, >> > Tin >> > _______________________________________________ >> > pypy-dev mailing list >> > pypy-dev@python.org >> > https://mail.python.org/mailman/listinfo/pypy-dev >> _______________________________________________ >> pypy-dev mailing list >> pypy-dev@python.org >> https://mail.python.org/mailman/listinfo/pypy-dev > > _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
