[pypy-dev] Is PyPy appropriate for Django?

[David Fraser]

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" <angelflow at yahoo.com> 
To: "David Fraser" <davidf at sjsoft.com> 
Cc: pypy-dev at 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 at sjsoft.com> 
To: Andy <angelflow at yahoo.com> 
Cc: pypy-dev at 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 at yahoo.com > 
To: pypy-dev at 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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