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. mybatis 框架 的简单使用

    # Global logging configuration #在开发环境下日志级别要设置成DEBUG,生产环境设置成info或error log4j.rootLogger=DEBUG, stdout ...

  2. Anaconda( different versions) configuration in ubuntu 14

    1. 安装自己经常使用的Anaconda版本 sh ./Anaconda3-5.0.1-Linux-x86_64.sh 2. 默认安装到 /home/usr/anaconda3下面,在anaconda ...

  3. Luogu 3537 [POI2012]SZA-Cloakroom

    背包. 首先考虑将所有询问离线按照$m$从小到大排序,然后把所有物品按照$a$从小到大排序,对于每一个询问不断加入物品. 设$f_i$表示在组成容量为$i$的背包的所有方案中$b$最小的一个物品的最大 ...

  4. spring是如何由请求地址找到对应的control的

    spring先将所有的action bean放进内存中,然后根据@RequestMapping(value = "/", method = RequestMethod.GET)这种 ...

  5. 20145218PC平台逆向破解

    20145218PC平台逆向破解 实践目标 本次实践的对象是一个名为pwn1的linux可执行文件. 该程序正常执行流程是:main调用foo函数,foo函数会简单回显任何用户输入的字符串. 该程序同 ...

  6. Java集合类总结 (一)

    集合类中的基本接口 集合类中最基础的接口是Collection: public interface Collection<E> { boolean add(E element); Iter ...

  7. html5标签兼容低版本浏览器

    随着html5(后面用h5代表)标签越来越广泛的使用,IE不识别h5标签的问题让人很是烦恼. 在火狐和chrome之类的浏览器中,遇到不认识的标签,只要给个display:block属性,就能让这个元 ...

  8. android 透明弹出搜索框

    1.在QQ一些APP当中有是弹出一个半透明的搜索框的,其实这种效果就是很多种方法,自定义一个Dialog,或者直接将activity的背景变成半透明的也可以的. 下面就是将activity变成半透明的 ...

  9. Windows + python + pywinauto 搭建自动化测试环境

    最近公司在搞测试, 单纯的人工去测试需要花费太多的人力物力以及时间, 所以准备用Python做一套自动化测试来使用. 本文中使用的是Python3.6.8  和 pywin32-224.win-amd ...

  10. C#操作excel打印

    using System; using System.Data; using System.IO; using System.Runtime.InteropServices; using System ...