当前位置：首页 > news >正文

python中线程/线程池，进程/进程池的创建

news 2025/7/8 7:27:54

创建子线程

    # 创建子线程t1 = threading.Thread(target=job,args=(1,))# 执行子线程t1.start()# 等待子线程执行print("waiting threading")t1.join()print("threading done")

创建子进程

    # 创建子进程p1 = multiprocessing.Process(target=job,args=(1,),name="processing-1")# 执行子进程p1.start()# 等待子进程执行p1.join()

创建线程池

    # 创建线程池threadPool = ThreadPool(2)start = time.time()threadPool.map_async(func=job,iterable=(5,5,5,5))threadPool.close()threadPool.join()end = time.time()print(end-start)

创建进程池

    # 创建进程池threadPool = Pool(2)start = time.time()threadPool.map_async(func=job, iterable=(5, 5, 5, 5))threadPool.close()threadPool.join()end = time.time()print(end - start)

完整代码

import threading
import multiprocessing
import time
from multiprocessing.pool import ThreadPool
from multiprocessing import Pool
import os
def job(a):time.sleep(a)print(f"sleep: {a}")print(f"process id is :{os.getpid()}")
def test():# 创建子线程t1 = threading.Thread(target=job,args=(1,))# 执行子线程t1.start()print(t1.ident)# 等待子线程执行t1.join()# 创建子进程p1 = multiprocessing.Process(target=job,args=(1,),name="processing-1")# 执行子进程p1.start()# 等待子进程执行p1.join()# 创建线程池threadPool = ThreadPool(2)start = time.time()threadPool.map_async(func=job,iterable=(5,5,5,5))threadPool.close()threadPool.join()end = time.time()print(end-start)# 创建进程池threadPool = Pool(2)start = time.time()threadPool.map_async(func=job, iterable=(5, 5, 5, 5))threadPool.close()threadPool.join()end = time.time()print(end - start)if __name__ == '__main__':print(f"main processid {os.getpid()}")test()