Home Database Mysql Tutorial 使用redis来实现tornado session的分布式存储

使用redis来实现tornado session的分布式存储

Jun 07, 2016 pm 04:41 PM
redis session tornado use accomplish

前言: 话说文章转自我的51cto博客里的,xiaorui.cc ! 前两天有人问我tornado到c10,先声明下,我也不知道tornado官方是咋测试的,我自己是没到那种牛逼的抗链接能力,不然咋说,该优化还是优化,EFI要这么较真,可以试着用nginx来处理tornado不太擅长的静

前言:

   话说文章转自我的51cto博客里的,xiaorui.cc !

   前两天有人问我tornado到c10,先声明下,我也不知道tornado官方是咋测试的,我自己是没到那种牛逼的抗链接能力,不然咋说,该优化还是优化,EFI要这么较真,可以试着用nginx来处理tornado不太擅长的静态文件及用多app方案来提高负载均衡的能力。


   我人比较的懒,把接口和平台的页面都做成一个py了,用upstream不好做负载,如果你用ip_hash,或者insert cookie的方式,虽然保证了针对后端服务器的命中,但是哥还就不想命中。

   我还就想rr轮训,为啥? 因为页面上大量的耗时间的io和计算请求,这个时候我总是命中调度到一台服务器,那我就会一直的等待,后面还有一堆的任务也都在同步堵塞着。。。太痛快啦,这个时候就需要rr轮训,session如何的一致性,这个时候就需要一个快速的存储来保证session cookie的存储。

   以前更多是用tornado memcached来存储session或者cookie,因为报警平台中已经在用redis、mongodb这些nosql数据库,没必要再配置memcached了。 这次用我钟爱的redis了。


这里导入了相关的类和库,login_required是装饰器,专门来判断用户登录了没有,没有的话把访问扔给login.html页面。


插入一个广告,最近文章总是被爬虫爬走,这边标记下原文的地址  blog.xiaorui.cc  。  说来也郁闷,我本人也是负责业务爬虫业务的,而且爬虫采用的一些技术也相当的强悍,但是没招呀  。 对方有时候还伪装 spider 。你咋办,你不认真分析,有可能封杀了真正的spider bot 。


#xiaorui.cc
from base import BaseHandler
from tornado.web import HTTPError
def login_required(f):
    def _wrapper(self,*args, **kwargs):
        print self.get_current_user()
        logged = self.get_current_user()
        if logged == None:
            self.write('no login')
            self.finish()
        else:
            ret = f(self,*args, **kwargs)
    return _wrapper
class Application(tornado.web.Application):
    def __init__(self):
        settings = dict(
            cookie_secret = "e446976943b4e8442f099fed1f3fea28462d5832f483a0ed9a3d5d3859f==78d",
            session_secret = "3cdcb1f00803b6e78ab50b466a40b9977db396840c28307f428b25e2277f1bcc",
            session_timeout = 60,
            store_options = {
            'redis_host': 'localhost',
                'redis_port': 6379,
                'redis_pass': '',
        },
        )
        handlers = [
            (r"/", MainHandler),
            (r"", MainHandler),
            (r"/login", LoginHandler)
        ]
        tornado.web.Application.__init__(self, handlers, **settings)
        self.session_manager = session.SessionManager(settings["session_secret"], settings["store_options"], settings["session_timeout"])
Copy after login

关联的两个类:

class MainHandler(BaseHandler):
    @login_required
    def get(self):
        username = self.get_current_user()
        print 'start..'
        print username
        print self.session['nima']
        if username==None:
            self.write('nima')
        else:
            self.write("What's up, " + username + "?")
class LoginHandler(BaseHandler):
    def get(self):
        self.session["user_name"] = self.get_argument("name")
        self.session["nima"] = 'xiaorui.cc'
        self.session.save()
        self.write('你的session已经欧了')
Copy after login

处理session的主要文件

#/usr/bin/python
# coding: utf-8
import uuid
import hmac
import ujson
import hashlib
import redis
class SessionData(dict):
    def __init__(self, session_id, hmac_key):
        self.session_id = session_id
        self.hmac_key = hmac_key
#   @property
#   def sid(self):
#       return self.session_id
#   @x.setter
#   def sid(self, value):
#       self.session_id = value
class Session(SessionData):
    def __init__(self, session_manager, request_handler):
        self.session_manager = session_manager
        self.request_handler = request_handler
        try:
            current_session = session_manager.get(request_handler)
        except InvalidSessionException:
            current_session = session_manager.get()
        for key, data in current_session.iteritems():
            self[key] = data
        self.session_id = current_session.session_id
        self.hmac_key = current_session.hmac_key  def save(self):
        self.session_manager.set(self.request_handler, self)
class SessionManager(object):
    def __init__(self, secret, store_options, session_timeout):
        self.secret = secret
        self.session_timeout = session_timeout
        try:
            if store_options['redis_pass']:
                self.redis = redis.StrictRedis(host=store_options['redis_host'], port=store_options['redis_port'], password=store_options['redis_pass'])
            else:
                self.redis = redis.StrictRedis(host=store_options['redis_host'], port=store_options['redis_port'])
        except Exception as e:
            print e
    def _fetch(self, session_id):
        try:
            session_data = raw_data = self.redis.get(session_id)
            if raw_data != None:
                self.redis.setex(session_id, self.session_timeout, raw_data)
                session_data = ujson.loads(raw_data)
            if type(session_data) == type({}):
                return session_data
            else:
                return {}
        except IOError:
            return {}
    def get(self, request_handler = None):
        if (request_handler == None):
            session_id = None
            hmac_key = None
        else:
            session_id = request_handler.get_secure_cookie("session_id")
            hmac_key = request_handler.get_secure_cookie("verification")
        if session_id == None:
            session_exists = False
            session_id = self._generate_id()
            hmac_key = self._generate_hmac(session_id)
        else:
            session_exists = True
        check_hmac = self._generate_hmac(session_id)
        if hmac_key != check_hmac:
            raise InvalidSessionException()
        session = SessionData(session_id, hmac_key)
        if session_exists:
            session_data = self._fetch(session_id)
            for key, data in session_data.iteritems():
                session[key] = data
        return session
    def set(self, request_handler, session):
        request_handler.set_secure_cookie("session_id", session.session_id)
        request_handler.set_secure_cookie("verification", session.hmac_key)
        session_data = ujson.dumps(dict(session.items()))
        self.redis.setex(session.session_id, self.session_timeout, session_data)
    def _generate_id(self):
        new_id = hashlib.sha256(self.secret + str(uuid.uuid4()))
        return new_id.hexdigest()
    def _generate_hmac(self, session_id):
        return hmac.new(session_id, self.secret, hashlib.sha256).hexdigest()
class InvalidSessionException(Exception):
    pass
Copy after login

这个文章的原文是在 http://blog.xiaorui.cc ,我的文章总是被爬来爬去的。

tornado每个控制器相关的class ~

import tornado.web
import sys
import session
class BaseHandler(tornado.web.RequestHandler):
    def __init__(self, *argc, **argkw):
        super(BaseHandler, self).__init__(*argc, **argkw)
        self.session = session.Session(self.application.session_manager, self)
    def get_current_user(self):
        return self.session.get("user_name")
Copy after login

对于登录注册session:

self.session["user_name"] = self.get_argument("name")
self.session["nima"] = 'xiaorui.cc'
self.session.save()
Copy after login

对于退出登录:

self.session["nima"] =None
self.session.save()
Copy after login

其实就改成None就行了,匹配都在装饰器那边搞好了。

偶了,这就可以了。用之前要配置下相关的组件!
pip install ujson redis
pip install tornado

session.py 代码来自:

git clone https://github.com/zs1621/tornado-redis-session

这老外写的有点简陋,说明几乎没有,还好tornado redis session本身就是不难的东西,看看就能搞定。

单个tornado我现在已经可以顶到1500个长连接不崩溃了,如果加上ngixn做tornado的分发负载,估计连接在6k问题不大。


Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1670
14
PHP Tutorial
1274
29
C# Tutorial
1256
24
How to build the redis cluster mode How to build the redis cluster mode Apr 10, 2025 pm 10:15 PM

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

How to clear redis data How to clear redis data Apr 10, 2025 pm 10:06 PM

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.

How to read redis queue How to read redis queue Apr 10, 2025 pm 10:12 PM

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

How to configure Lua script execution time in centos redis How to configure Lua script execution time in centos redis Apr 14, 2025 pm 02:12 PM

On CentOS systems, you can limit the execution time of Lua scripts by modifying Redis configuration files or using Redis commands to prevent malicious scripts from consuming too much resources. Method 1: Modify the Redis configuration file and locate the Redis configuration file: The Redis configuration file is usually located in /etc/redis/redis.conf. Edit configuration file: Open the configuration file using a text editor (such as vi or nano): sudovi/etc/redis/redis.conf Set the Lua script execution time limit: Add or modify the following lines in the configuration file to set the maximum execution time of the Lua script (unit: milliseconds)

How to use the redis command line How to use the redis command line Apr 10, 2025 pm 10:18 PM

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

How to implement redis counter How to implement redis counter Apr 10, 2025 pm 10:21 PM

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

How to set the redis expiration policy How to set the redis expiration policy Apr 10, 2025 pm 10:03 PM

There are two types of Redis data expiration strategies: periodic deletion: periodic scan to delete the expired key, which can be set through expired-time-cap-remove-count and expired-time-cap-remove-delay parameters. Lazy Deletion: Check for deletion expired keys only when keys are read or written. They can be set through lazyfree-lazy-eviction, lazyfree-lazy-expire, lazyfree-lazy-user-del parameters.

How to optimize the performance of debian readdir How to optimize the performance of debian readdir Apr 13, 2025 am 08:48 AM

In Debian systems, readdir system calls are used to read directory contents. If its performance is not good, try the following optimization strategy: Simplify the number of directory files: Split large directories into multiple small directories as much as possible, reducing the number of items processed per readdir call. Enable directory content caching: build a cache mechanism, update the cache regularly or when directory content changes, and reduce frequent calls to readdir. Memory caches (such as Memcached or Redis) or local caches (such as files or databases) can be considered. Adopt efficient data structure: If you implement directory traversal by yourself, select more efficient data structures (such as hash tables instead of linear search) to store and access directory information

See all articles