New submission from Herbert: I very often want to use pickle to store huge objects, such that I do not need to recalculate them again.
However, I noticed that pickle uses O(n) (for n the object size in memory) amount of memory. That is, using python 3: data = {'%06d' % i: i for i in range(30 * 1000 ** 2)} # data consumes a lot of my 8GB ram import pickle with open('dict-database.p3', 'wb') as f: pickle.dump(data, f) # I have to kill the process, in order to not overflow in memory. If I don't, the OS crashes. IMHO the OS should never crash due to python. I don't think pickle should require a O(n) memory overhead. ---------- messages: 253371 nosy: prinsherbert priority: normal severity: normal status: open title: Pickle uses O(n) memory overhead _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue25465> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com