RabbitMQ是一个在AMQP基础上完整的，可复用的企业消息系统。他遵循Mozilla Public License开源协议。

MQ全称为Message Queue, 消息队列（MQ）是一种应用程序对应用程序的通信方法。应用程序通过读写出入队列的消息（针对应用程序的数据）来通信，而无需专用连接来链接它们。消 息传递指的是程序之间通过在消息中发送数据进行通信，而不是通过直接调用彼此来通信，直接调用通常是用于诸如远程过程调用的技术。排队指的是应用程序通过 队列来通信。队列的使用除去了接收和发送应用程序同时执行的要求。

RabbitMQ 是什么？:  消息队列 .

　　其他队列 :- queue  - redis列表  - rabbitmq - zeromq

为什么要有消息队列？： 　　

　　　　- 生产者消费者

　　　　- 数据通信　

　　　　 - rest api，http协议发送的json格式数据
             　　　　 - webservice，http协议发送的xml格式数据
             　　　　 - rpc，基于socket并使用自己封装的协议进行数据传输

　　

RabbitMQ安装

服务端  　LInux

yum install rabbitmq-server 
客户端  
pip3 install pika 
运行
rabbitmq-server

systemctl start rabbitmq-server

sudo rabbitmqctl add_user wupeiqi 123

# 设置用户为administrator角色

sudo rabbitmqctl set_user_tags wupeiqi administrator

# 设置权限

sudo rabbitmqctl set_permissions -p "/" root ".*" ".*" ".*"

systemctl restart rabbitmq-server

　a. 普通消息队列

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# 创建一个队列：s91

channel.queue_declare(queue='s91')

# 向队列s91中发送一个 Hello World!

channel.basic_publish(exchange='',routing_key='s91',body='')

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.queue_declare(queue='s91')

def callback(ch, method, properties, body):

    print(body)

channel.basic_consume(callback,queue='s91',no_ack=True)

channel.start_consuming()

s2

　b.ack

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# 创建一个队列：s91

channel.queue_declare(queue='s91')

# 向队列s91中发送一个 Hello World!

channel.basic_publish(exchange='',routing_key='s91',body='')

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# channel.queue_declare(queue='s91')

def callback(ch, method, properties, body):

    print(body)

    ch.basic_ack(delivery_tag=method.delivery_tag)

channel.basic_consume(callback,queue='s91',no_ack=False)

channel.start_consuming()

s2

　c.服务端持久化

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# make message persistent

channel.queue_declare(queue='s92', durable=True)

channel.basic_publish(exchange='',

                      routing_key='s92',

                      body='Hello World!',

                      properties=pika.BasicProperties(

                          delivery_mode=2, # make message persistent

                      ))

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# make message persistent

channel.queue_declare(queue='s92', durable=True)

def callback(ch, method, properties, body):

    print(" [x] Received %r" % body)

    ch.basic_ack(delivery_tag = method.delivery_tag)

channel.basic_consume(callback,queue='s92',no_ack=False)

channel.start_consuming()

s2

　d.取数据顺序

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# make message persistent

channel.queue_declare(queue='s92', durable=True)

channel.basic_publish(exchange='',

                      routing_key='s92',

                      body='Hello World!',

                      properties=pika.BasicProperties(

                          delivery_mode=2, # make message persistent

                      ))

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

# make message persistent

channel.queue_declare(queue='s92', durable=True)

def callback(ch, method, properties, body):

    print(" [x] Received %r" % body)

    ch.basic_ack(delivery_tag = method.delivery_tag)

channel.basic_qos(prefetch_count=1)

channel.basic_consume(callback,queue='s92',no_ack=False)

channel.start_consuming()

s2

　e.fanout

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e1',exchange_type='fanout')

message = "Hello World!"

channel.basic_publish(exchange='e1',routing_key='',body=message)

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e1',exchange_type='fanout')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e1',queue=queue_name)

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s2

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e1',exchange_type='fanout')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e1',queue=queue_name)

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s3

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e1',exchange_type='fanout')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e1',queue=queue_name)

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s4

　f.direct

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e2',exchange_type='direct')

message = "Hello World!"

channel.basic_publish(exchange='e2',routing_key='error',body=message)

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e2',exchange_type='direct')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e2',queue=queue_name,routing_key='info')

channel.queue_bind(exchange='e2',queue=queue_name,routing_key='error')

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s2

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e2',exchange_type='direct')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e2',queue=queue_name,routing_key='error')

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s3

　g.topic

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e3',exchange_type='topic')

message = "Hello World!"

channel.basic_publish(exchange='e3',routing_key='info.xx.uu',body=message)

connection.close()

s1

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e3',exchange_type='topic')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e3',queue=queue_name,routing_key='info.*')

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s2

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

channel = connection.channel()

channel.exchange_declare(exchange='e3',exchange_type='topic')

# 随机生成对列名

result = channel.queue_declare(exclusive=True)

queue_name = result.method.queue

# 让队列和e1绑定

channel.queue_bind(exchange='e3',queue=queue_name,routing_key='info.#')

def callback(ch, method, properties, body):

    print(" [x] %r" % body)

channel.basic_consume(callback,queue=queue_name,no_ack=True)

channel.start_consuming()

s3

　h.超时时间

import pika

credentials = pika.PlainCredentials("root","")

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.13.92',credentials=credentials))

connection.add_timeout(5, lambda: channel.stop_consuming())

channel = connection.channel()

channel.queue_declare(queue='s91')

def callback(ch, method, properties, body):

    print(body)

channel.basic_consume(callback,queue='s91',no_ack=True)

channel.start_consuming()

s2

使用：
　　a. 普通消息队列

　　b. 批量向多个队列中发送

　　c. 根据关键字匹配向队列中发送

　　d. 模糊匹配向队列中发送

问题：
1. exchange的作用？
　　- exchange和队列进行绑定
　　- 用户向队列发送数据时，无序再找队列，直接向exchange中发送即可。

2. rabbitmq中有几种exchange？
　　- fanout，只要绑定就发
　　- dirct，确定关键字
　　- topic，模糊匹配

3. 消息持久化和ack
　　- 服务端（durable）
　　- 客户端（ack）

看官方文档 -----------------------------------------------------
　　　　http://www.rabbitmq.com/getstarted.html

Python RabbitMQ 消息队列的更多相关文章

  1. Python RabbitMQ消息队列

    python内的队列queue 线程 queue:不同线程交互,不能夸进程 进程 queue:只能用于父进程与子进程,或者同一父进程下的多个子进程,进行交互 注:不同的两个独立进程是不能交互的.   ...

  2. openresty 学习笔记番外篇:python访问RabbitMQ消息队列

    openresty 学习笔记番外篇:python访问RabbitMQ消息队列 python使用pika扩展库操作RabbitMQ的流程梳理. 客户端连接到消息队列服务器,打开一个channel. 客户 ...

  3. RabbitMQ消息队列（一）: Detailed Introduction 详细介绍

     http://blog.csdn.net/anzhsoft/article/details/19563091 RabbitMQ消息队列(一): Detailed Introduction 详细介绍 ...

  4. RabbitMQ消息队列1: Detailed Introduction 详细介绍

    1. 历史 RabbitMQ是一个由erlang开发的AMQP(Advanced Message Queue )的开源实现.AMQP 的出现其实也是应了广大人民群众的需求,虽然在同步消息通讯的世界里有 ...

  5. (转)RabbitMQ消息队列（七）：适用于云计算集群的远程调用(RPC)

    在云计算环境中,很多时候需要用它其他机器的计算资源,我们有可能会在接收到Message进行处理时,会把一部分计算任务分配到其他节点来完成.那么,RabbitMQ如何使用RPC呢?在本篇文章中,我们将会 ...

  6. (转)RabbitMQ消息队列（六）：使用主题进行消息分发

    在上篇文章RabbitMQ消息队列(五):Routing 消息路由 中,我们实现了一个简单的日志系统.Consumer可以监听不同severity的log.但是,这也是它之所以叫做简单日志系统的原因, ...

  7. (转)RabbitMQ消息队列（四）：分发到多Consumer（Publish/Subscribe）

    上篇文章中,我们把每个Message都是deliver到某个Consumer.在这篇文章中,我们将会将同一个Message deliver到多个Consumer中.这个模式也被成为 "pub ...

  8. RabbitMQ消息队列（四）：分发到多Consumer（Publish/Subscribe）

    上篇文章中,我们把每个Message都是deliver到某个Consumer.在这篇文章中,我们将会将同一个Message deliver到多个Consumer中.这个模式也被成为 "pub ...

  9. 使用EasyNetQ组件操作RabbitMQ消息队列服务

    RabbitMQ是一个由erlang开发的AMQP(Advanved Message Queue)的开源实现,是实现消息队列应用的一个中间件,消息队列中间件是分布式系统中重要的组件,主要解决应用耦合, ...

随机推荐

  1. php+mysql网站无限级栏目分类-递归获取树形结构函数

    如果网站采用了无限级栏目结构,我们可以将网站所有栏目获取出来组成一个树形结构.数据库结构: 函数代码: //获得指定文章分类的子分类组成的树形结构 function cateTree($pid=0,$ ...

  2. Apache htdigest命令

    一.简介 htdigest命令是Apache的Web服务器内置工具,用于创建和更新储存用户名.域和用于摘要认证的密码文件.服务器上的资源可以被限制为仅允许由htdigest建立的文件中的用户访问.使用 ...

  3. Yii2验证登录得User类

    Yii2中的  Class yii\web\User 是如果进行验证登录,如果我们使用User类验证登录会给我们减少很多麻烦.在此就拿Yii2中自带的登录功能进行说明. 配置.在应用配置文件compo ...

  4. [GO]工程管理

    同级目录: 1.分文件编程,多个源文件,必须放在src目录 2.设置GOPATH目录,目录地址不包括src后缀 3.同一个目录,包名必须一样 4.go env查看go相关的环境路径 5.同一个目录,调 ...

  5. MVC全局用户验证之HttpModule

    在请求进入到MVC的处理mcvHandler之前,请求先到达HttpModule,因此可以利用HttpModule做全局的用户验证. HttpModule MVC5之前的版本基于system.web. ...

  6. Graph cut使用方法

    下载:http://www.wisdom.weizmann.ac.il/~bagon/matlab.html 1. 运行compile_gc.m 2.运行gc_example.m(必须同目录吗?!) ...

  7. 编写高质量代码改善C#程序的157个建议——建议11： 区别对待==和Equals

    建议11: 区别对待==和Equals 在开始本建议之前,首先要明确概念“相等性”.CLR中将“相等性”分为两类:“值相等性”和“引用相等性”.如果用来比较的两个变量所包含的数值相等,那么将其定义为“ ...

  8. wpf使用truetype字体ttf

    查了半天都是语焉不详,这篇算是稍微详细点的:http://www.cnblogs.com/junhengml/p/6878933.html 要先查找到字体的字库名称,才能使用: <Window. ...

  9. MongoDB整理笔记の高级查询

    1.条件操作符 <, <=, >, >= 这个操作符就不用多解释了,最常用也是最简单的    db.collection.find({ "field" : ...

  10. Sql 查询过慢，尝试重建索引

    DBCC showcontig('Table') DBCC DBREINDEX('Table') 分析表的索引建立情况:DBCC showcontig('Table') DBCC SHOWCONTIG ...