Multiple interpreters retaining huge amounts of memory

Bronner, Gregory gregory.bronner at lehman.com
Fri Feb 8 01:37:44 CET 2008


On the off chance that anyone is still following this:
I've got a relatively simple example of a program that loads 100
interpreters (sequentially) which all load the same swig module, do
something trival, and exit.

Each cycle leaks (or loses) 132k, which is a significant hit -- in my
real program the hit is around 800k/interpreter.

I ran it through purify (after rebuilding python with the puremodule, no
pymalloc, no optimization, no threads, and debugging), and while the
results are somewhat ambiguous, it appears that Py_EndInterpreter isn't
cleaning up:


A) The site module
B) The builtins module 

Is there some way to properly clean these up prior to the end of
Py_EndInterpreter? It seem to zap everything wether or not it can
correctly clean up the interpreter/modules, and after it runs, all
pointers have been destroyed.


Thanks



 

-----Original Message-----
From: Rhamphoryncus [mailto:rhamph at gmail.com] 
Sent: Thursday, February 07, 2008 12:38 PM
To: python-list at python.org
Subject: Re: Multiple interpreters retaining huge amounts of memory

On Feb 2, 10:32 pm, Graham Dumpleton <Graham.Dumple... at gmail.com>
wrote:
> The multi interpreter feature has some limitations, but if you know 
> what you are doing and your application can be run within those 
> limitations then it works fine.

I've been wondering about this for a while.  Given the severe
limitations of it, what are the use cases where multiple interpreters do
work?  All I can think of is that it keeps separate copies of loaded
python modules, but since you shouldn't be monkey-patching them anyway,
why should you care?


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