Multiple interpreters retaining huge amounts of memory
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
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.
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>
> 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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