进程如何在Python中彼此共享列表? [英] How can processes share list between each other in Python?

问题描述

请如此指出我如何在进程之间共享列表或数组，以便他们可以访问/追加/删除其中的数据?我需要使用Manager吗? 例如，我有使用多处理程序对多个主机执行ping操作的代码:

Please be so kind to point me on how can a list or an array be shared between processes so they can access/append/delete data from it? Do i need to use Manager for it? For example i have code that pings several hosts using multiprocessing:

#!/usr/bin/env python

from multiprocessing import Pool
import os

def ping(ip):
  report = ("No response","Partial Response","Alive")
  pingaling = os.popen("ping -q -c2 "+str(ip),"r")
  while 1:
    line = pingaling.readline()
    try:
      result = line[line.find(','):].split()[1]
      output = report[int(result[0])]
    except:
      pass
    if not line: break
  print "Testing %s : %s!" % (ip, output)

if __name__ == '__main__':
  pool = Pool(processes=3)
  host = ['81.24.212.'+str(x) for x in range(10)]
  pool.map(ping, host, 1)
  pool.close()
  pool.join() 

但是输出未排序，但是我想将输出添加到数组并对其进行排序:

But the output is unsorted, however i want to add output to an array and sort it:

Testing 81.24.212.1 : Alive!
Testing 81.24.212.2 : Alive!
Testing 81.24.212.6 : Alive!
Testing 81.24.212.0 : No response!
Testing 81.24.212.5 : No response!
Testing 81.24.212.3 : No response!
Testing 81.24.212.4 : No response!
Testing 81.24.212.9 : No response!
Testing 81.24.212.7 : No response!
Testing 81.24.212.8 : No response!

推荐答案

请注意，pool.map的行为与buildin map函数非常相似，并且它返回给定元素的给定函数应用结果的列表.在给定的列表中.

note that pool.map acts a lot like the buildin map function and like it returns a list of the results of the application of the given function to elements in the given list.

因此您只需要让ping()返回找到的内容然后执行:

so you need only have ping() return what it found and then do:

list_of_values = pool.map(ping, host, 1)

之后，您可以随意使用list_of_values

after which you can use the list_of_values any way you like

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