使用Python的Twisted框架编写非阻塞程序的代码示例
先来看一段代码: # ~*~ Twisted - A Python tale ~*~ from time import sleep # Hello,I'm a developer and I mainly setup Wordpress. def install_wordpress(customer): # Our hosting company Threads Ltd. is bad. I start installation and... print "Start installation for",customer # ...then wait till the installation finishes successfully. It is # boring and I'm spending most of my time waiting while consuming # resources (memory and some CPU cycles). It's because the process # is *blocking*. sleep(3) print "All done for",customer # I do this all day long for our customers def developer_day(customers): for customer in customers: install_wordpress(customer) developer_day(["Bill","Elon","Steve","Mark"]) 运行一下,结果如下所示: $ ./deferreds.py 1 ------ Running example 1 ------ Start installation for Bill All done for Bill Start installation ... * Elapsed time: 12.03 seconds 这是一段顺序执行的代码。四个消费者,为一个人安装需要3秒的时间,那么四个人就是12秒。这样处理不是很令人满意,所以看一下第二个使用了线程的例子: import threading # The company grew. We now have many customers and I can't handle the # workload. We are now 5 developers doing exactly the same thing. def developers_day(customers): # But we now have to synchronize... a.k.a. bureaucracy lock = threading.Lock() # def dev_day(id): print "Goodmorning from developer",id # Yuck - I hate locks... lock.acquire() while customers: customer = customers.pop(0) lock.release() # My Python is less readable install_wordpress(customer) lock.acquire() lock.release() print "Bye from developer",id # We go to work in the morning devs = [threading.Thread(target=dev_day,args=(i,)) for i in range(5)] [dev.start() for dev in devs] # We leave for the evening [dev.join() for dev in devs] # We now get more done in the same time but our dev process got more # complex. As we grew we spend more time managing queues than doing dev # work. We even had occasional deadlocks when processes got extremely # complex. The fact is that we are still mostly pressing buttons and # waiting but now we also spend some time in meetings. developers_day(["Customer %d" % i for i in xrange(15)]) 运行一下: $ ./deferreds.py 2 ------ Running example 2 ------ Goodmorning from developer 0Goodmorning from developer 1Start installation forGoodmorning from developer 2 Goodmorning from developer 3Customer 0 ... from developerCustomer 13 3Bye from developer 2 * Elapsed time: 9.02 seconds 这次是一段并行执行的代码,使用了5个工作线程。15个消费者每个花费3s意味着总共45s的时间,不过用了5个线程并行执行总共只花费了9s的时间。这段代码有点复杂,很大一部分代码是用于管理并发,而不是专注于算法或者业务逻辑。另外,程序的输出结果看起来也很混杂,可读性也天津市。即使是简单的多线程的代码同样也难以写得很好,所以我们转为使用Twisted: # For years we thought this was all there was... We kept hiring more # developers,more managers and buying servers. We were trying harder # optimising processes and fire-fighting while getting mediocre # performance in return. Till luckily one day our hosting # company decided to increase their fees and we decided to # switch to Twisted Ltd.! from twisted.internet import reactor from twisted.internet import defer from twisted.internet import task # Twisted has a slightly different approach def schedule_install(customer): # They are calling us back when a Wordpress installation completes. # They connected the caller recognition system with our CRM and # we know exactly what a call is about and what has to be done next. # # We now design processes of what has to happen on certain events. def schedule_install_wordpress(): def on_done(): print "Callback: Finished installation for",customer print "Scheduling: Installation for",customer return task.deferLater(reactor,3,on_done) # def all_done(_): print "All done for",customer # # For each customer,we schedule these processes on the CRM # and that # is all our chief-Twisted developer has to do d = schedule_install_wordpress() d.addCallback(all_done) # return d # Yes,we don't need many developers anymore or any synchronization. # ~~ Super-powered Twisted developer ~~ def twisted_developer_day(customers): print "Goodmorning from Twisted developer" # # Here's what has to be done today work = [schedule_install(customer) for customer in customers] # Turn off the lights when done join = defer.DeferredList(work) join.addCallback(lambda _: reactor.stop()) # print "Bye from Twisted developer!" # Even his day is particularly short! twisted_developer_day(["Customer %d" % i for i in xrange(15)]) # Reactor,our secretary uses the CRM and follows-up on events! reactor.run() 运行结果: ------ Running example 3 ------ Goodmorning from Twisted developer Scheduling: Installation for Customer 0 .... Scheduling: Installation for Customer 14 Bye from Twisted developer! Callback: Finished installation for Customer 0 All done for Customer 0 Callback: Finished installation for Customer 1 All done for Customer 1 ... All done for Customer 14 * Elapsed time: 3.18 seconds 这次我们得到了完美的执行代码和可读性强的输出结果,并且没有使用线程。我们并行地处理了15个消费者,也就是说,本来需要45s的执行时间在3s之内就已经完成。这个窍门就是我们把所有的阻塞的对sleep()的调用都换成了Twisted中对等的task.deferLater()和回调函数。由于现在处理的操作在其他地方进行,我们就可以毫不费力地同时服务于15个消费者。 # Twisted gave us utilities that make our code way more readable! @defer.inlineCallbacks def inline_install(customer): print "Scheduling: Installation for",customer yield task.deferLater(reactor,lambda: None) print "Callback: Finished installation for",customer print "All done for",customer def twisted_developer_day(customers): ... same as previously but using inline_install() instead of schedule_install() twisted_developer_day(["Customer %d" % i for i in xrange(15)]) reactor.run() 运行的结果和前一个例子相同。这段代码的作用和上一个例子是一样的,但是看起来更加简洁明了。inlineCallbacks生成器可以使用一些一些Python的机制来使得inline_install()函数暂停或者恢复执行。inline_install()函数变成了一个Deferred对象并且并行地为每个消费者运行。每次yield的时候,运行就会中止在当前的inline_install()实例上,直到yield的Deferred对象完成后再恢复运行。 @defer.inlineCallbacks def inline_install(customer): ... same as above # The new "problem" is that we have to manage all this concurrency to # avoid causing problems to others,but this is a nice problem to have. def twisted_developer_day(customers): print "Goodmorning from Twisted developer" work = (inline_install(customer) for customer in customers) # # We use the Cooperator mechanism to make the secretary not # service more than 5 customers simultaneously. coop = task.Cooperator() join = defer.DeferredList([coop.coiterate(work) for i in xrange(5)]) # join.addCallback(lambda _: reactor.stop()) print "Bye from Twisted developer!" twisted_developer_day(["Customer %d" % i for i in xrange(15)]) reactor.run() # We are now more lean than ever,our customers happy,our hosting # bills ridiculously low and our performance stellar. # ~*~ THE END ~*~ 运行结果: $ ./deferreds.py 5 ------ Running example 5 ------ Goodmorning from Twisted developer Bye from Twisted developer! Scheduling: Installation for Customer 0 ... Callback: Finished installation for Customer 4 All done for Customer 4 Scheduling: Installation for Customer 5 ... Callback: Finished installation for Customer 14 All done for Customer 14 * Elapsed time: 9.19 seconds 从上面的输出中可以看到,程序运行时好像有5个处理消费者的槽。除非一个槽空出来,否则不会开始处理下一个消费者的请求。在本例中,处理时间都是3秒,所以看起来像是5个一批次地处理一样。最后得到的性能跟使用线程是一样的,但是这次只有一个线程,代码也更加简洁更容易写出正确的代码。 PS:deferToThread使同步函数实现非阻塞 注:deferToThread使用线程实现的,不推荐过多使用 .. # 代码片段 def dataReceived(self,data): now = int(time.time()) for ftype,data in self.fpcodec.feed(data): if ftype == 'oob': self.msg('OOB:',repr(data)) elif ftype == 0x81: # 对服务器请求的心跳应答(这个是解析 防疲劳驾驶仪,发给gps上位机的,然后上位机发给服务器的) self.msg('FP.PONG:',repr(data)) else: self.msg('TODO:',(ftype,data)) d = deferToThread(self.redis.zadd,"beier:fpstat:fps",now,self.devid) d.addCallback(self._doResult,extra) 下面这儿完整的例子可以给大家参考一下 # -*- coding: utf-8 -*- from twisted.internet import defer,reactor from twisted.internet.threads import deferToThread import functools import time # 耗时操作 这是一个同步阻塞函数 def mySleep(timeout): time.sleep(timeout) # 返回值相当于加进了callback里 return 3 def say(result): print "耗时操作结束了,并把它返回的结果给我了",result # 用functools.partial包装一下,传递参数进去 cb = functools.partial(mySleep,3) d = deferToThread(cb) d.addCallback(say) print "你还没有结束我就执行了,哈哈" reactor.run() (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |