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Groups > comp.lang.python > #18874
| From | Peter Otten <__peter__@web.de> |
|---|---|
| Subject | Re: stable object serialization to text file |
| Date | 2012-01-12 13:24 +0100 |
| Organization | None |
| References | <030AD516-2A52-411B-9A20-BD60DF8AE75B@me.com> |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.4681.1326371074.27778.python-list@python.org> (permalink) |
Máté Koch wrote: > 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.) Have you considered json? http://docs.python.org/library/json.html The encoder features a sort_keys flag which might help.
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Re: stable object serialization to text file Peter Otten <__peter__@web.de> - 2012-01-12 13:24 +0100
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