Python mutiprocessing多线程池pool操作示例_Python

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 mutiprocessing多线程池pool操作示例

脚本代码：

				?

									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

				?

									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）

				?

									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

Python mutiprocessing多线程池pool操作示例

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