答案 0 :(得分:40)
答案 1 :(得分:11)
有人建议我使用futures
包。我试过了,似乎工作正常。
http://pypi.python.org/pypi/futures
以下是一个例子:
"Download many URLs in parallel."
import functools
import urllib.request
import futures
URLS = ['http://www.foxnews.com/',
'http://www.cnn.com/',
'http://europe.wsj.com/',
'http://www.bbc.co.uk/',
'http://some-made-up-domain.com/']
def load_url(url, timeout):
return urllib.request.urlopen(url, timeout=timeout).read()
with futures.ThreadPoolExecutor(50) as executor:
future_list = executor.run_to_futures(
[functools.partial(load_url, url, 30) for url in URLS])
答案 2 :(得分:3)
答案 3 :(得分:3)
这是我对线程映射的实现:
from threading import Thread
from queue import Queue
def thread_map(f, iterable, pool=None):
"""
Just like [f(x) for x in iterable] but each f(x) in a separate thread.
:param f: f
:param iterable: iterable
:param pool: thread pool, infinite by default
:return: list if results
"""
res = {}
if pool is None:
def target(arg, num):
try:
res[num] = f(arg)
except:
res[num] = sys.exc_info()
threads = [Thread(target=target, args=[arg, i]) for i, arg in enumerate(iterable)]
else:
class WorkerThread(Thread):
def run(self):
while True:
try:
num, arg = queue.get(block=False)
try:
res[num] = f(arg)
except:
res[num] = sys.exc_info()
except Empty:
break
queue = Queue()
for i, arg in enumerate(iterable):
queue.put((i, arg))
threads = [WorkerThread() for _ in range(pool)]
[t.start() for t in threads]
[t.join() for t in threads]
return [res[i] for i in range(len(res))]
答案 4 :(得分:0)