rbs*_*rbs 4 python python-multithreading python-2.7
在单独的线程中调用相同函数的最佳方法是什么,并且每个实例都有一个单独的列表,其中包含返回值,而不重复函数?
例:
import threading
def function(a):
returned_values = []
ct = threading.currentThread()
while getattr(ct, "do_run", True):
ret = do_something(a)
returned_values.append(ret)
t1 = threading.Thread(target=function, args=("AAA",))
t2 = threading.Thread(target=function, args=("BBB",))
t3 = threading.Thread(target=function, args=("CCC",))
t1.start()
t2.start()
t3.start()
import time;time.sleep(10)
t1.do_run = t2.do_run = t3.do_run = False
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编辑:忘记提到我使用Python 2.7
使用ThreadPool
像这样的东西
from multiprocessing.pool import ThreadPool
pool = ThreadPool()
pool.map(function, list_containing_args)
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PS it works similar to multiprocess map.Each argument is given a new thread .You can specify the number of threads you want to spawn if you have limited resources or a big list
from multiprocessing.pool import ThreadPool
import subprocess
def func(ip):
c=subprocess.Popen("ping -c 3 "+ip, shell=True, stdout=subprocess.PIPE)
output, error= c.communicate()
return output
pool = ThreadPool()
for i in pool.map(func,["127.0.0.1", "www.google.com", "www.facebook.com"]):
print i
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