One option is to define __slots__ on your classes and not include __dict__ in
the list of slots. This will limit the attributes you can store on the object
and the objects will all be stored in an array instead of a dictionary.
__slots__ should include each attribute you want to be able to set:
class object(object):
__slots__ = ['a', 'b', 'c']
From: [email protected]
[mailto:[email protected]] On Behalf Of Patrick Deschênes
Sent: Thursday, September 17, 2009 1:00 PM
To: [email protected]
Subject: [IronPython] Many small objects and memory footprint
Hello,
I'm currently using IronPython to manage a big tree of small objects.
Everything works as fine but the memory usage is really huge (about 6x greater
than the same program writtent in C#). I assumed the memory usage would be
greater in dynamic language than in C#. Since I really need to have a small
memory footprint, what strategy should I use to keep the memory usage low.
NOTE: There's many classes already written in python and I would really like
to keep using python, but I'm open to suggestion.
Patrick
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