Python一文搞定， multiprocessing多进程，多进程池；多线程，多线程池

最新推荐文章于 2025-10-16 20:58:39 发布

原创最新推荐文章于 2025-10-16 20:58:39 发布 · 置顶 · 367 阅读

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#python #多进程 #多线程 #thread

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本文通过简洁实用的代码示例，介绍了Python中多进程、多线程及其池的使用方法，对比了不同并发方式的特点，适合希望深入理解Python并发机制的开发者。

真是搞不懂，这么简单的东西，别的博客写得乱七八糟，简单易用不好吗？

多进程

import multiprocessing
import os
import time

def func(name,id):
    print(name,'pid:',os.getpid(),"id:", id)
    time.sleep(3)
    print("end")

if __name__ == "__main__":
    for id in range(10):
        process = multiprocessing.Process(target=func, args=('process', id))
        process.start()
        record.append(process)
    for process in record:
        process.join()

多进程池

import multiprocessing
import os
import time

def func(name,id):
    print(name,'pid:',os.getpid(),"id:", id)
    time.sleep(3)
    print("end")

if __name__ == "__main__":
    pool = multiprocessing.Pool(processes=10)
    for id in range(10):
        pool.apply_async(func,args=('process',id))
    pool.close()
    pool.join()

多线程

import threading
import os
import time

def func(name,id):
    print(name,'pid:',os.getpid(),"id:", id)
    time.sleep(3)
    print("end")

if __name__ == "__main__":
    for id in range(10):
        thread  = threading.Thread(target=func, args=('process', id))
        thread.start()
        record.append(thread)
    for thread in record:
        thread.join()

多线程池

import threadpool 
import os
import time

def func(id):
    print('pid:',os.getpid(),"id:", id)
    time.sleep(3)
    print("end")
    
if __name__ == "__main__":
    pool = threadpool.ThreadPool(10)
    requests = threadpool.makeRequests(func,range(10)) 
    for request in requests:
        pool.putRequest(request)
    pool.wait()