python多线程和多进程对比

时间：2021-01-25 18:16:36

1、多线程：开启一个进程test.py ,占用两个cpu  共占用45%左右(top -c ,按1)  多进程：开启两个进程test.py 用两个cpu  90%*2左右

test.py

# coding=utf-8

from multiprocessing import Pool  # 多线程版本from multiprocessing.dummy import Pool 

import sys, os

import time

def timetask(times):

    while 1:

        pass

if __name__ == '__main__':

    startTime = time.time()

    worknum = 2

    processnum = 2

    pool = Pool(processnum)

    for i in range(worknum):

        pool.apply_async(timetask, (i, ))

    pool.close()

    pool.join()

    endTime = time.time()

    print "time :", endTime - startTime

2、多线程：开启一个进程test.py ,两个gzip进程 占用两个cpu  多进程：开启两个进程test.py  ,两个gzip进程 (主进程test.py  S状态)

多线程、多进程都用两个cpu  90%左右

# coding=utf-8

from multiprocessing import Pool

import sys, os

import time

def timetask(times):

    cmd="tar zcfPh /nerri_%s.tar.gz   /tmp"   % times

    os.system(cmd)

if __name__ == '__main__':

    startTime = time.time()

    worknum = 2  # time : 55.9383509159

    processnum = 2 # 进程版本 processnum:2, time : 55.9383509159;processnum:1,time : 108.528738976 ;线程版本 processnum:2,time : 55.0623002052

    pool = Pool(processnum)

    for i in range(worknum):

        pool.apply_async(timetask, (i, ))

    pool.close()

    pool.join()

    endTime = time.time()

    print "time :", endTime - startTime

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