python序列化模块的速度比较

# -*- coding: utf-8 -*-
# @Time : 2019-04-01 17:41
# @Author : cxa
# @File : dictest.py
# @Software: PyCharm
import time
import pickle
import marshal
import ujson
import msgpack


def test(data, method):
    if method == 'pickle':
        dumps = pickle.dumps
        loads = pickle.loads
    elif method == 'marshal':
        dumps = marshal.dumps
        loads = marshal.loads
    elif method == 'ujson':
        dumps = ujson.dumps
        loads = ujson.loads
    elif method == "msgpack":
        dumps = msgpack.dumps
        loads = msgpack.loads

    b = time.time()
    s = ''
    loop = 10000
    for i in range(loop):
        s = dumps(data)
    print('{} dumps time cost: {}'.format(method, time.time() - b))

    b = time.time()
    for i in range(loop):
        loads(s)
    print('{} loads time cost: {}'.format(method, time.time() - b))


def main():
    # generate test data
    data = {}
    count = 80
    for i in range(10000):
        k = '%05d' % (i % count)
        if k in data:
            data[k].append(i / count)
        else:
            data[k] = [i / count]

    print('data:', len(data))
    # test
    test(data, 'pickle')
    test(data, 'marshal')
    test(data, 'ujson')
    test(data, 'msgpack')


if __name__ == '__main__':
    main()

结果

pickle dumps time cost: 2.6049489974975586
pickle loads time cost: 3.6289799213409424
marshal dumps time cost: 2.2469120025634766
marshal loads time cost: 2.907557964324951
ujson dumps time cost: 8.108527183532715
ujson loads time cost: 4.873885869979858
msgpack dumps time cost: 2.671412944793701
msgpack loads time cost: 3.2492690086364746

注意：
千万不要对不信任的数据使用pickle.load()。
pickle在加载时有一个副作用就是它会自动加载相应模块并构造实例对象。
但是某个坏人如果知道pickle的工作原理，
他就可以创建一个恶意的数据导致Python执行随意指定的系统命令。
因此，一定要保证pickle只在相互之间可以认证对方的解析器的内部使用。