此脚本的性能如何:http: //tornadogists.org/2185380/复制如下。
from time import sleep
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.web import Application, asynchronous, RequestHandler
from multiprocessing.pool import ThreadPool
_workers = ThreadPool(10)
def run_background(func, callback, args=(), kwds={}):
def _callback(result):
IOLoop.instance().add_callback(lambda: callback(result))
_workers.apply_async(func, args, kwds, _callback)
# blocking task like querying to MySQL
def blocking_task(n):
sleep(n)
return n
class Handler(RequestHandler):
@asynchronous
def get(self):
run_background(blocking_task, self.on_complete, (10,))
def on_complete(self, res):
self.write("Test {0}<br/>".format(res))
self.finish()
HTTPServer(Application([("/", Handler)],debug=True)).listen(8888)
IOLoop.instance().start()
- 我的应用程序将超过1,000 req/sec。
- 每个请求将持续 2-30 秒,平均约 6 秒
- 简单地平均
sleep(6)
- 简单地平均
- 通过使用类似的东西来阻止 IO
redis BLPOP
或Queue.get_nowait()