tornado

Tornado

ε祈祈猫儿з 提交于 2019-12-04 08:43:20
引言 回想Django的部署方式 以Django为代表的python web应用部署时采用wsgi协议与服务器对接(被服务器托管),而 这类服务器通常都是基于多线程 的,也就是说 每一个网络请求服务器都会有一个对应的线程来用web应用(如Django)进行处理 。 考虑两类应用场景 用户量大,高并发 如秒杀抢购、双十一某宝购物、春节抢火车票 大量的HTTP持久连接 使用同一个TCP连接来发送和接收多个HTTP请求/应答,而不是为每一个新的请求/应答打开新的连接的方法。 对于HTTP 1.0,可以在请求的包头(Header)中添加Connection: Keep-Alive。 对于HTTP 1.1,所有的连接默认都是持久连接。 对于这两种场景, 通常基于多线程的服务器很难应对 。 C10K问题 对于前文提出的这种高并发问题,我们通常用C10K这一概念来描述。C10K—— Concurrently handling ten thousand connections,即并发10000个连接。对于单台服务器而言,根本无法承担,而采用多台服务器分布式又意味着高昂的成本。如何解决C10K问题? Tornado Tornado在设计之初就考虑到了性能因素,旨在解决C10K问题,这样的设计使得其成为一个拥有非常高性能的解决方案( 服务器与框架的集合体 )。 1 关于Tornado 知识点

阿里云服务器部署Tornado应用

自作多情 提交于 2019-12-04 07:57:38
本篇详细介绍tornado应用部署到阿里云服务器上的全过程。 Tornado程序地址:github https://github.com/ddong8/ihasy.git 准备工作:阿里云服务器CentOS7.4系统+PuTTY远程登录 一.更新CentOS系统 安装完CentOS7.4后惯例更新下系统: 1 yum update    二.安装MySQL 然后安装MySQL: 卸载MariaDB CentOS7默认安装MariaDB而不是MySQL,而且yum服务器上也移除了MySQL相关的软件包。因为MariaDB和MySQL可能会冲突,故先卸载MariaDB。 1、安装新版mysql之前,我们需要将系统自带的mariadb-lib卸载 查找mariadb: [root@iZwz94qazh62gk5ewl4ei2Z home]# rpm -qa | grep -i mariadb mariadb-libs-5.5.52-1.el7.x86_64 rpm -qa | grep -i mariadb 卸载mariadb [root@iZwz94qazh62gk5ewl4ei2Z home]# rpm -e --nodeps mariadb-libs-5.5.52-1.el7.x86_64 rpm -e --nodeps mariadb-libs-5.5.56-2.el7.x86

What is the best REST implemenation when using tornado RequestHandlers

百般思念 提交于 2019-12-04 07:55:27
I would like to define a REST API with a general pattern of: mysite.com/OBJECT_ID/associations For example: mysite.com/USER_ID/vacations - manage a users vacation mysite.com/USER_ID/music - manage music in the user's music library mysite.com/PLAYLIST_ID/music - manage music in the context of the given playlist I am using tornado on the server side and looking for suggestions about how to define the RequestHandlers for this API. For instance, I want to define a handler like: /([0-9,a-z,A-Z,-]+)/music",MusicHandler), but I'm stuck on the implementation of MusicHandler, which needs to know if the

Is Tornado a replacement to Django or are they complementary to each other?

让人想犯罪 __ 提交于 2019-12-04 07:44:52
问题 I have several questions about Tornado and other web frameworks. 1) Tornado claims to be a webserver (a non-blocking one, therefore much performant), so some people said it does not play the role of django --i.e., they say tornado is not a web framework. However, it does provide a web framework I think (http://www.tornadoweb.org/documentation#main-modules) -- in this way, it seems to replace django as the web development framework. Is my above understanding correct? 2) Normally, several

what's the tornado ioloop, and tornado's workflow?

こ雲淡風輕ζ 提交于 2019-12-04 07:33:10
问题 i want to know tornado's internal workflow, and have seen this article, it's great, but something i just can't figure out within the ioloop.py, there is such a function def add_handler(self, fd, handler, events): """Registers the given handler to receive the given events for fd.""" self._handlers[fd] = handler self._impl.register(fd, events | self.ERROR) so what's this mean? every request will trigger add_handler or it's just triggered once when init? every socket connect will generate a file

When and how to use Tornado? When is it useless?

巧了我就是萌 提交于 2019-12-04 07:25:20
问题 Ok, Tornado is non-blocking and quite fast and it can handle a lot of standing requests easily. But I guess it's not a silver bullet and if we just blindly run Django-based or any other site with Tornado it won't give any performance boost. I couldn't find comprehensive explanation of this, so I'm asking it here: When should Tornado be used? When is it useless? When using it, what should be taken into account? How can we make inefficient site using Tornado? There is a server and a

Differences between node.js and Tornado [closed]

限于喜欢 提交于 2019-12-04 07:23:24
问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 3 years ago . Besides the fact that node.js is written in JS and Tornado in Python, what are some of the differences between the two? They're both non-blocking asynchronous web servers, right? Why choose one over the other besides the language? 回答1: The main advantage of node.js is that

Flask and Tornado Applciation does not handle multiple concurrent requests

久未见 提交于 2019-12-04 06:18:44
问题 I am running a simple Flask app with Tornado, but the view only handles one request at a time. How can I make it handle multiple concurrent requests? The fix I'm using is to fork and use the multiple processes to handle requests, but I don't like that solution. from flask import Flask app = Flask(__name__) @app.route('/flask') def hello_world(): return 'This comes from Flask ^_^' from tornado.wsgi import WSGIContainer from tornado.ioloop import IOLoop from tornado.web import FallbackHandler,

Python Web框架Tornado运行和部署

|▌冷眼眸甩不掉的悲伤 提交于 2019-12-04 05:44:49
运行和部署 因为Tornado内置了自己的HTTPServer,运行和部署它与其他Python web框架不太一样。你需要写一个 main() 函数来启动服务,而不是配置一个WSGI容器来运行你的应用: def main(): app = make_app() app.listen(8888) IOLoop.current().start() if __name__ == '__main__': main() 配置你的操作系统或者进程管理器来运行这个程序以启动服务。注意,增加每个进程允许打开的最大文件句柄数是可能是必要的(为了避免“Too many open files” 的错误)。为了增加这个上限(例如设置为50000 ) 你可以使用ulimit命令,修改/etc/security/limits.conf 或者设置 minfds 在你的supervisord配置中。 进程和端口 由于Python的GIL(全局解释器锁),为了充分利用多CPU的机器,运行多个Python 进程是很有必要的。通常,最好是每个CPU运行一个进程。 Tornado包含了一个内置的多进程模式来一次启动多个进程,这需要一个在main 函数上做点微小的改变: def main(): app = make_app() server = tornado.httpserver.HTTPServer(app)

Is it possible to use tornado's gen.engine and gen.Task with twisted?

此生再无相见时 提交于 2019-12-04 04:46:16
问题 The project I am working on is all written in Tornado, but I have included a bit of Twisted to deal with asynchronous XML-RPC. I was wondering if you can use Tornado's gen.engine and yield gen.Task with Twisted's code. Is this possible? If so how would the syntax look like? Thanks in advance. 回答1: Sure - but it's called inlineCallbacks in Twisted: from twisted.internet.defer import inlineCallbacks @inlineCallbacks def foo(): x = yield bar() print x 回答2: You can use gen.Task with anything that