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| Started by | Máté Koch <koch.mate@me.com> |
|---|---|
| First post | 2012-01-12 14:32 +0100 |
| Last post | 2012-01-12 14:32 +0100 |
| Articles | 1 — 1 participant |
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Re: stable object serialization to text file Máté Koch <koch.mate@me.com> - 2012-01-12 14:32 +0100
| From | Máté Koch <koch.mate@me.com> |
|---|---|
| Date | 2012-01-12 14:32 +0100 |
| Subject | Re: stable object serialization to text file |
| Message-ID | <mailman.4683.1326375153.27778.python-list@python.org> |
That's probably the easiest way as I don't store any binary data just strings and numbers. Thanks! On Jan 12, 2012, at 1:24 PM, Peter Otten wrote: > 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. > > -- > http://mail.python.org/mailman/listinfo/python-list
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