import time
import multiprocessing
def test1():
while True:
print("1.....")
time.sleep(1)
def test2():
while True:
print("2....")
time.sleep(1)
def main():
p1 = multiprocessing.Process(target=test1)
p2 = multiprocessing.Process(target=test2)
p1.start()
p2.start()
if __name__ == "__main__":
main()
E:\python_project\NetWork\venv\Scripts\python.exe E:/python_project/NetWork/process/__init__.py
1.....
2....
1.....
2....
1.....
2....
1.....
2....
1.....
2....
1.....
2....
1.....
2....
1.....
2....
1.....
2....
Process finished with exit code -1
队列先进先出,与队列相反的是栈,先进后出
通过队列实现进程间通讯
import multiprocessing
def download_fromWeb(queue):
# 从网上下载数据
data = [11, 22, 33, 44]
for temp in data:
queue.put(temp)
def analysis_data(queue):
# 从队列中取数据,放到list中
waiting = list()
while True:
data = queue.get()
waiting.append(data)
if queue.empty():
break
print(waiting)
def main():
# 创建一个队列
queue = multiprocessing.Queue(6)
# 创建多个进程将队列的引用传递到进程里面
p1 = multiprocessing.Process(target=download_fromWeb, args=(queue,))
p2 = multiprocessing.Process(target=analysis_data, args=(queue,))
p1.start()
p2.start()
if __name__ == "__main__":
main()
E:\python_project\NetWork\venv\Scripts\python.exe E:/python_project/NetWork/process/Queue.py
[11, 22, 33, 44]
Process finished with exit code 0
进程池
from multiprocessing import Pool
import time, os, random
def worker(po):
t_start = time.time()
print("%s开始执行,进程号为%d" % (po, os.getpid()))
def main():
# 定义一个进程池,最大进程数3
po = Pool(3)
for i in range(0, 10):
# Pool().apply_async(要调用的目标,(传递给目标的参数元祖,))
# 每次循环将会用空闲出来的子进程去调用目标
po.apply_async(worker, (i,))
# 关闭进程池,关闭后po不再接收新的请求
po.close()
# 等待po中所有子进程执行完成,必须放在close之后
po.join()
if __name__ == "__main__":
main()
E:\python_project\NetWork\venv\Scripts\python.exe E:/python_project/NetWork/process/ProcessPool.py
0开始执行,进程号为10712
1开始执行,进程号为10712
2开始执行,进程号为10712
3开始执行,进程号为10712
4开始执行,进程号为10712
5开始执行,进程号为10712
6开始执行,进程号为10712
7开始执行,进程号为10712
8开始执行,进程号为10712
9开始执行,进程号为10712
Process finished with exit code 0
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