Hi Andy
I'm using our own internal platform which uses CherryPy, sqlalchemy and Routes. Currently I get a 20% speedup once JIT has completed; most of this I think has to do with our own native code that's not very friendly to PyPy JIT (lots of generators and **kwargs passing), so I'm hoping to get that better. I haven't monitored memory usage specifically Cheers David ----- Original Message ----- From: "Andy" <angelf...@yahoo.com> To: "David Fraser" <dav...@sjsoft.com> Cc: pypy-dev@python.org Sent: Thursday, August 25, 2011 5:01:25 PM Subject: Re: [pypy-dev] Is PyPy appropriate for Django? Hi David, Which platform are you using? How big of a speedup did you get? Did the memory footprint increased significantly? Thanks. From: David Fraser <dav...@sjsoft.com> To: Andy <angelf...@yahoo.com> Cc: pypy-dev@python.org Sent: Thursday, August 25, 2011 1:12 AM Subject: Re: [pypy-dev] Is PyPy appropriate for Django? I'm not using Django but another web platform; I've found some speedup using pypy after the JIT has kicked in, but it did require some profiling and adjusting of my code. Why not give pypy a go? ----- Original Message ----- From: "Andy" < angelf...@yahoo.com > To: pypy-dev@python.org Sent: Wednesday, August 24, 2011 11:26:25 PM Subject: [pypy-dev] Is PyPy appropriate for Django? Hi, In the PyPy benchmark there's a Django test that shows tremendous speedup of Django when running PyPy-JIT. But that is just for Django templates. What about the other parts of Django? 1) For URL routing Django uses the re module, which is a C extension. Would JIT work with that? 2) Other parts such as DB driver also contains C code, again would that work with JIT? I suppose I could use a pure Python driver, but would a JIT'd pure Python driver be much slower than a native driver? In general are there any rules of thumbs regarding PyPy and C extensions - what works, what doesn't? Thanks. _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
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