python进程

记录：备忘录。
方式一：fork()

import os
import time

def worker(info):
    while True:
        print(info)
        time.sleep(1)

def main():
    ret = os.fork()
    if ret == 0:
        worker("主进程")
    else:
        worker("子进程")

if __name__ == '__main__':
     print("主进程开始...")
     main()
     print("主进程结束...")

方式二：Process

from multiprocessing import Process
import os

def worker(info):
    print("子进程开始...")
    for i in range(10):
        print("进程%d：%s第%d次执行"%(os.getpid(),info,i))
    print("子进程结束...")

def main():
    p = Process(target=worker, args=("红玲",))
    p.start()
if __name__ == '__main__':
    print("主进程开始...")
    main()
    print("主进程结束...")

方式三：继承Process

from multiprocessing import Process
import os

class MyProcess(Process):
    def run(self):
        print("子进程开始...")
        for i in range(10):
            print("进程号%d：第%d次执行" % (os.getpid(), i))
        print("子进程结束...")

def main():
    p = MyProcess()
    p.start()
if __name__ == '__main__':
     print("主进程开始...")
     main()
     print("主进程结束...")

方式四：进程池Pool同步

from multiprocessing import Pool
import os
import time

def worker(info,num):
    for i in range(10):
        print("进程号%d：%s%d第%d次执行"%(os.getpid(), info,num,i))
        time.sleep(0.5)

def main():
    pool = Pool(3)
    for i in range(10):
        pool.apply(worker, ("红玲",i))
    # 关闭进程池
    pool.close()
    pool.join()
if __name__ == '__main__':
    main()

方式五：进程池Pool异步

from multiprocessing import Pool
import os
import time

def worker(info,num):
    for i in range(10):
        print("进程号%d：%s%d第%d次执行"%(os.getpid(), info,num,i))
        time.sleep(1)

def main():
    pool = Pool(3)
    for i in range(10):
        pool.apply_async(worker, ("红玲",i))
    # 关闭进程池
    print("qqq")
    pool.close()
    pool.join()
if __name__ == '__main__':
    main()

以上，感谢。