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test_threading.py
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67 lines (50 loc) · 1.21 KB
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# -*- coding:utf-8 -*-
# 多线程 对CPU密集型不利，IO密集型有利
import threading
import time
def start():
i = 0
for j in range(10000000):
i += j
return
def main():
ts = {}
s = time.time()
for i in range(10):
#start()
t = threading.Thread(target=start)
t.start()
ts[i] = t
for i in range(10):
ts[i].join() # 阻塞线程，使所有线程执行完毕，再继续主线程
print(time.time()-s)
# 8.16722822189331 单线程运行10次start()
# 7.964332342147827 多线程运行，CPU密集型，GIL锁限制只能一个一个线程执行
number = 0
lock = threading.Lock()
def add_num():
global number
for i in range(1000000):
lock.acquire()
number += 1
lock.release()
def dec_num():
global number
for i in range(1000000):
lock.acquire()
number -= 1
lock.release()
def run_threading():
global number
t1 = threading.Thread(target=add_num)
t2 = threading.Thread(target=dec_num)
print("--start--")
t1.start()
t2.start()
t1.join()
t2.join()
print(number)
print("--stop--")
if __name__ == '__main__':
#main()
run_threading()