单/多线程效率对比

线程效率：

1、CPU计算密集型：单线程 比多线程 快

2、网络IO密集型：多线程 比 单线程 快

 

 

 

import requests
import threading
import time

num = 0


def func1():
    for i in range(100):
        # global num
        # num += 1
        requests.get('http://127.0.0.1:8000/projects/onedata/')


def func2():
    for i in range(100):
        # global num
        # num += 1
        requests.get('http://127.0.0.1:8000/projects/onedata/')


def main():
    t1 = threading.Thread(target=func1)
    t2 = threading.Thread(target=func2)
    s_time = time.time()
    t1.start()
    t2.start()
    t1.join()
    t2.join()
    e_time = time.time()
    print(e_time - s_time)


if __name__ == '__main__':
    # main()
    s_time = time.time()
    func1()
    func2()
    e_time = time.time()
    print(e_time - s_time)

''''
CPU计算：
2个线程：0.0001761913299560547
单线程：1.1682510375976562e-05

网络io：
2个线程：2.881053924560547
单线程：3.6266140937805176
'''