python线程池如何实现同步（Python mutiprocessing多线程池pool操作示例）

时间：2022-04-01 21:02:43类别：脚本大全

python线程池如何实现同步

Python mutiprocessing多线程池pool操作示例

本文实例讲述了python mutiprocessing多线程池pool操作。分享给大家供大家参考，具体如下：

python — mutiprocessing 多线程 pool

python线程池如何实现同步（Python mutiprocessing多线程池pool操作示例）

脚本代码：

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19 root@72132server:~/python/multiprocess# ls

multiprocess_pool.py multprocess.py

root@72132server:~/python/multiprocess# cat multiprocess_pool.py

#!/usr/bin/python

# --*-- coding:utf-8 --*--

import multiprocessing

import sys,os,time

result = []#把运行的进程池放入，空的列表

def run(msg):#定义正在处理进程编号数的函数功能

print 'threading number:%s %s' %(msg,os.getpid())#打印正在处理的进程编号数与对应的系统进程号

time.sleep(2)

p = multiprocessing.pool(processes = 25)#绑定事例，同时执行25个线程

for i in range(100):

result.append(p.apply_async(run,('%s' %i,)))#异步传输正在运行的进程数字号码

p.close()#关闭正在运行的25个进程

#p.join()

for res in result:#获取运行结果

res.get(timeout=5)

root@72132server:~/python/multiprocess#

运行情况：

1）脚本运行

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53 root@72132server:~/python/multiprocess# python multiprocess_pool.py

threading number:0 27912

threading number:1 27915

threading number:2 27913

threading number:3 27916

threading number:4 27917

threading number:5 27918

threading number:6 27919

threading number:7 27920

threading number:8 27922

threading number:9 27923

threading number:10 27924

threading number:11 27925

threading number:12 27926

threading number:13 27927

threading number:14 27928

threading number:15 27914

threading number:16 27929

threading number:17 27921

threading number:18 27930

threading number:19 27931

threading number:20 27932

threading number:21 27934

threading number:22 27935

threading number:23 27936

threading number:24 27933

threading number:25 27912

threading number:26 27915

threading number:27 27917

threading number:28 27918

threading number:29 27916

threading number:30 27913

threading number:31 27922

threading number:32 27919

threading number:33 27920

threading number:34 27923

threading number:35 27924

threading number:36 27925

threading number:37 27927

threading number:38 27921

threading number:39 27930

threading number:40 27932

threading number:41 27934

threading number:42 27935

threading number:43 27926

threading number:44 27931

threading number:45 27928

threading number:46 27929

threading number:47 27914

threading number:48 27933

threading number:49 27936

threading number:50 27912

threading number:51 27915

2）进程查看（25个进程同时运行）

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59 root@72132server:~/python/multiprocess# ps -ef | grep multi

root 27905 23930 0 22:39 pts/3 00:00:00 grep multi

root@72132server:~/python/multiprocess# ps -ef | grep multi

root 27911 20609 1 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27912 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27913 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27914 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27915 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27916 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27917 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27918 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27919 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27920 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27921 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27922 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27923 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27924 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27925 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27926 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27927 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27928 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27929 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27930 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27931 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27932 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27933 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27934 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27935 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27936 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27941 23930 0 22:39 pts/3 00:00:00 grep multi

root@72132server:~/python/multiprocess# ps -ef | grep multi

root 27911 20609 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27912 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27913 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27914 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27915 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27916 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27917 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27918 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27919 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27920 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27921 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27922 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27923 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27924 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27925 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27926 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27927 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27928 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27929 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27930 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27931 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27932 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27933 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27934 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27935 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27936 27911 0 22:39 pts/1 00:00:00 python multiprocess_pool.py

root 27943 23930 0 22:39 pts/3 00:00:00 grep multi

root@72132server:~/python/multiprocess#

希望本文所述对大家python程序设计有所帮助。

原文链接：https://blog.csdn.net/xwbk12/article/details/77624248

标签：

python线程池如何实现同步（Python mutiprocessing多线程池pool操作示例）

python线程池如何实现同步

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