python的几种序列化方式

结论: performance: marshal > cPickle > json > pickle
 
>>> timeit.timeit("pickle.dumps([1,2,3])","import pickle",number=10000)
0.2939901351928711
>>> timeit.timeit("json.dumps([1,2,3])","import json",number=10000)
0.09756112098693848
>>> timeit.timeit("pickle.dumps([1,2,3])","import cPickle as pickle",number=10000)
0.031056880950927734
>>> timeit.timeit("marshal.dumps([1,2,3])","import marshal", number=10000)
0.00703883171081543
 
引自:https://stackoverflow.com/questions/9662757/python-performance-comparison-of-using-pickle-or-marshal-and-using-re
 
 
posted @ 2021-11-29 17:54  春树&暮云  阅读(82)  评论(0编辑  收藏  举报