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How to save big "database-like" class in python

开发者 https://www.devze.com 2023-01-02 08:50 出处:网络
I\'m doing a project with reasonalby big DataBase. It\'s not a probper DB file, but a class with format as follows:

I'm doing a project with reasonalby big DataBase. It's not a probper DB file, but a class with format as follows: DataBase.Nodes.Data=[[] for i in range(1,1000)] f.e. this DataBase is all together something like few thousands rows. Fisrt question - is the way I'm doing efficient, or is it better to use SQL, or any other "proper" DB, which I've never used actually. And the main question - I'd like to save my DataBase class with all record, and then re-open it with Python in another session. Is that possible, what tool should I use? cPickle - it seems to be only for开发者_运维百科 strings, any other?

In matlab there's very useful functionality named save workspace - it saves all Your variables to a file that You can open at another session - this would be vary useful in python!


Pickle (cPickle) can handle any (picklable) Python object. So as long, as you're not trying to pickle thread or filehandle or something like that, you're ok.


Pickle should be able to serialise the data for you so that you can save it to file.

Alternatively if you don't need the features of a full featured RDBMS you could use a lightweight solution like SQLLite or a document store like MongoDB


The Pickle.dump function is very much like matlab's save feature. You just give it an object you wish to serialize and a file-like object to write it to. See the documentation for info and examples on how to use it.

The cPickle module is just like Pickle, but it is implemented in C so it can be much faster. You should probably use cPickle.

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