我目前正在开发一个程序,其中多个线程需要访问单个数组列表。该数组用作“缓冲区”。一个或多个线程写入此列表,一个或多个其他线程从此列表中读取和删除。我的第一个问题是,Python线程中的数组是否安全?如果没有,处理情况的标准方法是什么?
答案 0 :(得分:1)
如果只有一个资源,请尝试使用Threading.lock。
答案 1 :(得分:1)
您应该使用queue lib。 here是一篇很好的文章,解释了线程和队列。
import Queue
import threading
import urllib2
import time
from BeautifulSoup import BeautifulSoup
hosts = ["http://yahoo.com", "http://google.com", "http://amazon.com",
"http://ibm.com", "http://apple.com"]
queue = Queue.Queue()
out_queue = Queue.Queue()
class ThreadUrl(threading.Thread):
"""Threaded Url Grab"""
def __init__(self, queue, out_queue):
threading.Thread.__init__(self)
self.queue = queue
self.out_queue = out_queue
def run(self):
while True:
#grabs host from queue
host = self.queue.get()
#grabs urls of hosts and then grabs chunk of webpage
url = urllib2.urlopen(host)
chunk = url.read()
#place chunk into out queue
self.out_queue.put(chunk)
#signals to queue job is done
self.queue.task_done()
class DatamineThread(threading.Thread):
"""Threaded Url Grab"""
def __init__(self, out_queue):
threading.Thread.__init__(self)
self.out_queue = out_queue
def run(self):
while True:
#grabs host from queue
chunk = self.out_queue.get()
#parse the chunk
soup = BeautifulSoup(chunk)
print soup.findAll(['title'])
#signals to queue job is done
self.out_queue.task_done()
start = time.time()
def main():
#spawn a pool of threads, and pass them queue instance
for i in range(5):
t = ThreadUrl(queue, out_queue)
t.setDaemon(True)
t.start()
#populate queue with data
for host in hosts:
queue.put(host)
for i in range(5):
dt = DatamineThread(out_queue)
dt.setDaemon(True)
dt.start()
#wait on the queue until everything has been processed
queue.join()
out_queue.join()
main()
print "Elapsed Time: %s" % (time.time() - start)
答案 2 :(得分:0)
你需要像ATOzTOA提到的锁。你可以通过
创建它们lock = threading.Lock()
如果线程进入临界区,则线程会获取它们。完成该部分后,他们释放锁定。写这个的pythonic方法是
with lock:
do_something(buffer)