今天不看了个博客
https://www.cnblogs.com/MnCu8261/p/7765937.html
上面显示json ujson得速度对比 引起了我的兴趣 所以我有试了试orjson 下面是代码的结果 以后大数据就不用json了哈哈哈
# -*- coding: utf-8 -*- import json import ujson import orjson import time def cost_time(func): def inner(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) stop_time = time.time() print(stop_time - start_time) #print(result) return result return inner a = {} for i in range(1, 100000000): a[str(i)] = 1 @cost_time def json_dumps(obj): return json.dumps(obj) @cost_time def ujson_dumps(obj): return ujson.dumps(obj) @cost_time def orjson_dumps(obj): return orjson.dumps(obj) r1 = json_dumps(a) r2 = ujson_dumps(a) r3 = orjson_dumps(a)
# 结果 # 130.38414025306702 # 42.63353109359741 # 7.99960470199585