Python Memory Usage using __slots__

I have been trying to reduce memory usage on our application server, and experimented with using __slots__ to reduce memory usage.

The memory overhead of using __dict__ vs __slots__ turned out to be 147 bytes per object.

Here are my results

Test Total Memory Bytes per object
slots 40880K 41
dicts 183840K 188

Using the following test script

class C(object):
#__slots__ = ('abc', 'defg')
pass

a = []
for i in xrange(1000000):
c = C()
c.abc = 1
c.defg = 2
a.append(c)

That’s quite promising. Now, if I can make that work with our in-house ORM.

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Published:
11.28.09 / 2am
Category:
Python