[英]Limiting Threads within Python Threading, Queue
Im using the following code to multithread urlib2. 我使用以下代码对urlib2进行了多线程处理。 However what is the best way to limit the number of threads that it consumes ??
但是,限制它消耗的线程数的最佳方法是什么?
class ApiMultiThreadHelper:
def __init__(self,api_calls):
self.q = Queue.Queue()
self.api_datastore = {}
self.api_calls = api_calls
self.userpass = '#####'
def query_api(self,q,api_query):
self.q.put(self.issue_request(api_query))
def issue_request(self,api_query):
self.api_datastore.update({api_query:{}})
for lookup in ["call1","call2"]:
query = api_query+lookup
request = urllib2.Request(query)
request.add_header("Authorization", "Basic %s" % self.userpass)
f = urllib2.urlopen(request)
response = f.read()
f.close()
self.api_datastore[api_query].update({lookup:response})
return True
def go(self):
threads = []
for i in self.api_calls:
t = threading.Thread(target=self.query_api, args = (self.q,i))
t.start()
threads.append(t)
for t in threads:
t.join()
You should use a thread pool. 您应该使用线程池。 Here's my implementation I've made years ago (Python 3.x friendly):
这是我几年前所做的实现(对Python 3.x友好):
import traceback
from threading import Thread
try:
import queue as Queue # Python3.x
except ImportError:
import Queue
class ThreadPool(object):
def __init__(self, no=10):
self.alive = True
self.tasks = Queue.Queue()
self.threads = []
for _ in range(no):
t = Thread(target=self.worker)
t.start()
self.threads.append(t)
def worker(self):
while self.alive:
try:
fn, args, kwargs = self.tasks.get(timeout=0.5)
except Queue.Empty:
continue
except ValueError:
self.tasks.task_done()
continue
try:
fn(*args, **kwargs)
except Exception:
# might wanna add some better error handling
traceback.print_exc()
self.tasks.task_done()
def add_job(self, fn, args=[], kwargs={}):
self.tasks.put((fn, args, kwargs))
def join(self):
self.tasks.join()
def deactivate(self):
self.alive = False
for t in self.threads:
t.join()
You can also find a similar class in multiprocessing.pool
module (don't ask me why it is there). 您还可以在
multiprocessing.pool
模块中找到一个类似的类(不要问我为什么在那儿)。 You can then refactor your code like this: 然后,您可以像这样重构代码:
def go(self):
tp = ThreadPool(20) # <-- 20 thread workers
for i in self.api_calls:
tp.add_job(self.query_api, args=(self.q, i))
tp.join()
tp.deactivate()
Number of threads is now defined a priori. 现在先验定义线程数。
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