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Subject: stable object serialization to text file
Date: Wed, 11 Jan 2012 21:16:45 +0100
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Xref: x330-a1.tempe.blueboxinc.net comp.lang.python:18873

Hello All,

I'm developing an app which stores the data in file system database. The =
data in my case consists of large python objects, mostly dicts, =
containing texts and numbers. The easiest way to dump and load them =
would be pickle, but I have a problem with it: I want to keep the data =
in version control, and I would like to use it as efficiently as =
possible. Is it possible to force pickle to store the otherwise =
unordered (e.g. dictionary) data in a kind of ordered way, so that if I =
dump a large dict, then change 1 tiny thing in it and dump again, the =
diff of the former and the new file will be minimal?

If pickle is not the best choice for me, can you suggest anything else? =
(If there isn't any solution for it so far, I will write the module of =
course, but first I'd like to look around and make sure it hasn't been =
created yet.)

Thanks,

Mate=