[IronPython] Embedded IP eating memory
dinov at exchange.microsoft.com
Fri Aug 11 21:48:28 CEST 2006
How are you executing the script file? If you're creating a new optimized module each time we won't be able to collection the optimized module code. If on the other hand you're just compiling it as a helper method then when it's done running we can collect the code.
In pre-RC1 we had a leak where creating a new PythonEngine would result in a leak of a SystemState and ClrModule which were being hung onto by an event rooted in the app domain. So if you're re-creating the engine each time you might be seeing that. Also, now that I've mentioned events, you might want to check your own C# code if you're using events: It's easy to forget to unhook one and leak memory because the event handler stays alive forever.
If none of those turn out to be the problem an option here would be to download the free CLR Profiler and look at the object type that is consuming the increased memory. It'll give you a nice graphical display w/ a block view of what's referencing what.
From: users-bounces at lists.ironpython.com [mailto:users-bounces at lists.ironpython.com] On Behalf Of Rodolfo Conde
Sent: Friday, August 11, 2006 12:58 PM
To: Discussion of IronPython
Subject: [IronPython] Embedded IP eating memory
I have an IP-Embedded C# application (IP version IronPython 1.0.60523 (Beta) on .NET 2.0.50727.42, Yeah i know, im out of date, but i havent make the change to latest version because i saw there were some API changes :) ), i create one PyEngine, set some global variables and inside a while block i execute this little script every time:
i = sys.path.index("scripts")
pyop = CMOpFuncionalidad.PyOperador(cmop, dba, connID)
pyop = None
pyop = None
The module CMOpFuncionaliad is an IPython script i wrote, it contains a class definition. Inside the scripts i use components defined in some assemblies i made (these are already loaded into the CLR). The problem is, after the Engine takes the usual 12M+- of memory it needs, every time the script executes it consumes 2M more, i dont have a clue why is this...Does this version of IP have memory problems ? Or what else could be ?? If you need to see CMOpFuncionalidad.py let me know and ill send it....
Thanks for your help....
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