tornado异步编程

 

tornado相较于flask入门难，精通更难，用两种框架都写一个最简单的带有time.sleep的入门dome就会发现区别，同时进来多个请求flask就不会阻塞(虽然也是单进程但flask会使用selet复用或者多线程方式避免给请求阻塞的感觉)，而torndao就会发生阻塞(单进程单线程，一个一个来处理)，这样的问题在入门tornado时是需要搞清楚的，一般就是通过 @tornado.web.asynchronous，@tornado.gen.coroutine来解决。

# -*- coding:utf-8 -*-
#!/bin/env python
import os
import time
import tornado.httpserver import tornado.ioloop import tornado.options import tornado.web import tornado.gen import tornado.httpclient import tornado.concurrent import tornado.ioloop from tornado.concurrent import run_on_executor from concurrent.futures import ThreadPoolExecutor from tornado.options import define, options import sys reload(sys) sys.setdefaultencoding('utf8') """ https://blog.csdn.net/chenyulancn/article/details/45888949 参考并拓展 https://blog.csdn.net/hjhmpl123/article/details/53673108 curl http://localhost:8000/sleep curl http://localhost:8000/justnow 有2个url,一个是耗时的请求，一个是可以或者说需要立刻返回的请求,希望访问耗时的请求不会影响也不会被其他人的请求 专业点讲就是:如何在tornado中以异步的方式调用同步函数? """ define("port", default=8000, help="run on the given port", type=int) class My(object): def __init__(self): self.executor = ThreadPoolExecutor(2) #不可以设为1或0  @run_on_executor def f(self): print(os.path.join(os.path.dirname(__file__), 'python')) time.sleep(2) print(10) return 1,2,3  @run_on_executor def f1(self): time.sleep(1) print(15) return 4,5,6 #不要 yield 4,5,6  @run_on_executor def f2(self): time.sleep(1.5) print('hello, world1') f11=self.f1() f12=self.f() a,b,c= f11.result() d,e,f= f12.result() # a,b,c= yield self.f1() # 这样是不可以的 # d,e,f= yield self.f() print "a,b,c:",a,b,c print "d,e,f:",d,e,f print('hello, world2') return 'success',a+b+c+d+e+f #不要 yield 'success',a+b+c+d+e+f class SleepHandler(tornado.web.RequestHandler):  @tornado.web.asynchronous  @tornado.gen.coroutine def get(self): #yield tornado.gen.Task(tornado.ioloop.IOLoop.instance().add_timeout, time.time() + 5) m = My() result, m = yield tornado.gen.maybe_future(m.f2()) yield self.write({"result":result, "sum":m}) class JustNowHandler(tornado.web.RequestHandler): def get(self): self.write("i hope just now see you") if __name__ == "__main__": tornado.options.parse_command_line() app = tornado.web.Application(handlers=[ (r"/sleep", SleepHandler), (r"/justnow", JustNowHandler)]) http_server = tornado.httpserver.HTTPServer(app) http_server.listen(options.port) tornado.ioloop.IOLoop.instance().start()

tornado相较于flask入门难，精通更难，用两种框架都写一个最简单的带有time.sleep的入门dome就会发现区别，同时进来多个请求flask就不会阻塞(虽然也是单进程但flask会使用selet复用或者多线程方式避免给请求阻塞的感觉)，而torndao就会发生阻塞(单进程单线程，一个一个来处理)，这样的问题在入门tornado时是需要搞清楚的，一般就是通过 @tornado.web.asynchronous，@tornado.gen.coroutine来解决。

# -*- coding:utf-8 -*-
#!/bin/env python
import os
import time
import tornado.httpserver import tornado.ioloop import tornado.options import tornado.web import tornado.gen import tornado.httpclient import tornado.concurrent import tornado.ioloop from tornado.concurrent import run_on_executor from concurrent.futures import ThreadPoolExecutor from tornado.options import define, options import sys reload(sys) sys.setdefaultencoding('utf8') """ https://blog.csdn.net/chenyulancn/article/details/45888949 参考并拓展 https://blog.csdn.net/hjhmpl123/article/details/53673108 curl http://localhost:8000/sleep curl http://localhost:8000/justnow 有2个url,一个是耗时的请求，一个是可以或者说需要立刻返回的请求,希望访问耗时的请求不会影响也不会被其他人的请求 专业点讲就是:如何在tornado中以异步的方式调用同步函数? """ define("port", default=8000, help="run on the given port", type=int) class My(object): def __init__(self): self.executor = ThreadPoolExecutor(2) #不可以设为1或0  @run_on_executor def f(self): print(os.path.join(os.path.dirname(__file__), 'python')) time.sleep(2) print(10) return 1,2,3  @run_on_executor def f1(self): time.sleep(1) print(15) return 4,5,6 #不要 yield 4,5,6  @run_on_executor def f2(self): time.sleep(1.5) print('hello, world1') f11=self.f1() f12=self.f() a,b,c= f11.result() d,e,f= f12.result() # a,b,c= yield self.f1() # 这样是不可以的 # d,e,f= yield self.f() print "a,b,c:",a,b,c print "d,e,f:",d,e,f print('hello, world2') return 'success',a+b+c+d+e+f #不要 yield 'success',a+b+c+d+e+f class SleepHandler(tornado.web.RequestHandler):  @tornado.web.asynchronous  @tornado.gen.coroutine def get(self): #yield tornado.gen.Task(tornado.ioloop.IOLoop.instance().add_timeout, time.time() + 5) m = My() result, m = yield tornado.gen.maybe_future(m.f2()) yield self.write({"result":result, "sum":m}) class JustNowHandler(tornado.web.RequestHandler): def get(self): self.write("i hope just now see you") if __name__ == "__main__": tornado.options.parse_command_line() app = tornado.web.Application(handlers=[ (r"/sleep", SleepHandler), (r"/justnow", JustNowHandler)]) http_server = tornado.httpserver.HTTPServer(app) http_server.listen(options.port) tornado.ioloop.IOLoop.instance().start()