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

From: "Andy" <angelflow@yahoo.com>
To: "David Fraser" <davidf@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 <davidf@sjsoft.com>
To: Andy <angelflow@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" <angelflow@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.
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