RabbitMQ是一个开源的消息代理和队列服务器,用来通过普通协议在完全不同的应用之间共享数据,RabbitMQ是使用Erlang(高并发语言)语言来编写的,并且RabbitMQ是基于AMQP协议的。即Advanced Message Queuing Protocol(高级消息队列协议)
Server # 又称broker,接受客户端的链接,实现AMQP实体服务。
Connection # 连接,应用程序与broker的网络连接。
Channel # 网络信道,几乎所有的操作都在channel中进行,Channel是进行消息读写的通道。客户端可以建立多个channel,每个channel代表一个会话任务。
Message # 消息,服务器与应用程序之间传送的数据,由Properties和Body组成.Properties可以对消息进行修饰,必须消息的优先级、延迟等高级特性;Body则是消息体内容。
virtualhost # 虚拟地址,用于进行逻辑隔离,最上层的消息路由。一个virtual host里面可以有若干个Exchange和Queue,同一个Virtual Host 里面不能有相同名称的Exchange 或 Queue。
Exchange # 交换机,接收消息,根据路由键转单消息到绑定队列Binding: Exchange和Queue之间的虚拟链接,binding中可以包换routing key。
Routing key # 一个路由规则,虚拟机可用它来确定如何路由一个特定消息。(如负载均衡)
ClientA(生产者)发送消息到Exchange1(交换机),同时带上RouteKey(路由Key),Exchange1找到绑定交换机为它和绑定传入的RouteKey的队列,把消息转发到对应的队列,消费者Client1,Client2,Client3只需要指定对应的队列名即可以消费队列数据。交换机和队列多对多关系,实际开发中一般是一个交换机对多个队列,防止设计复杂化。
推荐文章:https://www.compose.com/articles/configuring-rabbitmq-exchanges-queues-and-bindings-part-2/
[root@10-27-0-224 ~]# docker pull rabbitmq:3.8-rc-management
【注】若不使用RabbitMQ的management功能,可以拉取镜像:rabbitmq:3.8-rc
[root@10-27-0-224 ~]# docker network create rabbitmqnet
注意这里三个Node节点要使用相同的 RABBITMQ_ERLANG_COOKIE 值。
(1)RabibitMQ Node1
[root@10-27-0-224 ~]# docker run -d \
--name=rabbitmq1 \
-p 5672:5672 \
-p 15672:15672 \
-v /workspace/rabbitmq/data/rabbitmq1:/var/lib/rabbitmq:z \
-e RABBITMQ_DEFAULT_USER=stargao \
-e RABBITMQ_DEFAULT_PASS=ucloudcn \
-e RABBITMQ_NODENAME=rabbitmq1 \
-e RABBITMQ_ERLANG_COOKIE='Dustyone-Murex-cluster-cookie' \
-h rabbitmq1 \
--net=rabbitmqnet \
rabbitmq:3.8-rc-management
(2)RabibitMQ Node2
[root@10-27-0-224 ~]# docker run -d \
--name=rabbitmq2 \
-p 5673:5672 \
-p 15673:15672 \
-v /workspace/rabbitmq/data/rabbitmq2:/var/lib/rabbitmq:z \
-e RABBITMQ_DEFAULT_USER=stargao \
-e RABBITMQ_DEFAULT_PASS=ucloudcn \
-e RABBITMQ_NODENAME=rabbitmq2 \
-e RABBITMQ_ERLANG_COOKIE='Dustyone-Murex-cluster-cookie' \
-h rabbitmq2 \
--net=rabbitmqnet \
rabbitmq:3.8-rc-management
(3)RabibitMQ Node3
[root@10-27-0-224 ~]# docker run -d \
--name=rabbitmq3 \
-p 5674:5672 \
-p 15674:15672 \
-v /workspace/rabbitmq/data/rabbitmq3:/var/lib/rabbitmq:z \
-e RABBITMQ_DEFAULT_USER=stargao \
-e RABBITMQ_DEFAULT_PASS=ucloudcn \
-e RABBITMQ_NODENAME=rabbitmq3 \
-e RABBITMQ_ERLANG_COOKIE='Dustyone-Murex-cluster-cookie' \
-h rabbitmq3 \
--net=rabbitmqnet \
rabbitmq:3.8-rc-management
(4)查看运行中的容器
[root@10-27-0-224 ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
5a6013aff365 rabbitmq:3.8-rc-management "docker-entrypoint.s…" 29 seconds ago Up 28 seconds 4369/tcp, 5671/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:5674->5672/tcp, 0.0.0.0:15674->15672/tcp rabbitmq3
9a3c3464af03 rabbitmq:3.8-rc-management "docker-entrypoint.s…" About a minute ago Up About a minute 4369/tcp, 5671/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:5673->5672/tcp, 0.0.0.0:15673->15672/tcp rabbitmq2
cd578cf68acf rabbitmq:3.8-rc-management "docker-entrypoint.s…" 2 minutes ago Up 2 minutes 4369/tcp, 5671/tcp, 0.0.0.0:5672->5672/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:15672->15672/tcp rabbitmq1
登陆RabbitMQ的后两个节点,执行命令加入第一个RabbitMQ节点集群。
(1)RabibitMQ Node2
[root@10-27-0-224 ~]# docker exec rabbitmq2 bash -c \
"rabbitmqctl stop_app && \
rabbitmqctl reset && \
rabbitmqctl join_cluster rabbitmq1@rabbitmq1 && \
rabbitmqctl start_app"
(2)RabibitMQ Node3
[root@10-27-0-224 ~]# docker exec rabbitmq3 bash -c \
"rabbitmqctl stop_app && \
rabbitmqctl reset && \
rabbitmqctl join_cluster --ram rabbitmq1@rabbitmq1 && \
rabbitmqctl start_app"
(1)访问集群
(2)节点退出集群
[root@10-27-0-224 ~]# docker exec rabbitmq3 bash -c \
"rabbitmqctl stop_app && \
rabbitmqctl reset && \
rabbitmqctl start_app"
(1)拉取Haproxy镜像
[root@10-27-0-224 ~]# docker pull haproxy
(2)准备Haproxy配置
[root@10-27-0-224 ~]# mkdir /workspace/rabbitmq/haproxy-etc
[root@10-27-0-224 ~]# vim /workspace/rabbitmq/haproxy-etc/haproxy.cfg
#Simple configuration for an HTTP proxy listening on port 80 on all
# interfaces and forwarding requests to a single backend "servers" with a
# single server "server1" listening on 127.0.0.1:8000
global
daemon
maxconn 256
defaults
mode http
timeout connect 5000ms
timeout client 5000ms
timeout server 5000ms
listen rabbitmq_cluster
bind 0.0.0.0:5677
option tcplog
mode tcp
balance leastconn
server rabbit1 rabbitmq1:5672 check inter 2s rise 2 fall 3
server rabbit2 rabbitmq2:5672 check inter 2s rise 2 fall 3
server rabbit3 rabbitmq3:5672 check inter 2s rise 2 fall 3
listen http_front
bind 0.0.0.0:8002
stats uri /haproxy?stats
listen rabbitmq_admin
bind 0.0.0.0:8001
server rabbit1 rabbitmq1:15672
server rabbit2 rabbitmq2:15672
server rabbit3 rabbitmq3:15672
[root@10-27-0-224 ~]# docker run -d \
--name rabbitmq-haproxy \
-p 8002:8002 -p 5677:5677 -p 8001:8001 \
--net=rabbitmqnet \
-v /workspace/rabbitmq/haproxy-etc:/usr/local/etc/haproxy:ro \
haproxy:latest
(1)通过haproxy来访问rabbitMQ集群
(2)获取haproxy的状态
http://10.27.0.224:8002/haproxy?stats
(1)目录结构情况
[root@10-27-0-224 ~]# mkdir /workspace
[root@10-27-0-224 workspace]# mkdir {config,data,haproxy-etc,rabbitmq1,rabbitmq2,rabbitmq3}
[root@10-27-0-224 workspace]# touch config/docker-compose.yml
[root@10-27-0-224 workspace]# touch haproxy-etc/haproxy.cfg
[root@10-27-0-224 /]# tree /workspace
workspace/
├── config
│ └── docker-compose.yml
├── data
├── haproxy-etc
│ └── haproxy.cfg
├── rabbitmq1
├── rabbitmq2
└── rabbitmq3
(2)创建RabbitMQ集群网络
[root@10-27-0-224 /]# docker network create rabbitmqnet
[root@10-27-0-224 /]# vim /workspace/config/docker-compose.yml
version: '3.7'
services:
rabbitmq1:
image: rabbitmq:3.8-rc-management
container_name: rabbitmq1
restart: always
ports:
- 5672:5672
- 15672:15672
volumes:
- /workspace/rabbitmq/data/rabbitmq1:/var/lib/rabbitmq:z
environment:
RABBITMQ_DEFAULT_USER: 'stargao'
RABBITMQ_DEFAULT_PASS: 'ucloudcn'
RABBITMQ_NODENAME: 'rabbitmq1'
RABBITMQ_ERLANG_COOKIE: 'Dustyone-Murex-cluster-cookie'
hostname: rabbitmq1
rabbitmq2:
image: rabbitmq:3.8-rc-management
container_name: rabbitmq2
restart: always
ports:
- 5673:5672
- 15673:15672
volumes:
- /workspace/rabbitmq/data/rabbitmq2:/var/lib/rabbitmq:z
environment:
RABBITMQ_DEFAULT_USER: 'stargao'
RABBITMQ_DEFAULT_PASS: 'ucloudcn'
RABBITMQ_NODENAME: 'rabbitmq2'
RABBITMQ_ERLANG_COOKIE: 'Dustyone-Murex-cluster-cookie'
hostname: rabbitmq2
links:
- rabbitmq1
rabbitmq3:
image: rabbitmq:3.8-rc-management
container_name: rabbitmq3
restart: always
ports:
- 5674:5672
- 15674:15672
volumes:
- /workspace/rabbitmq/data/rabbitmq3:/var/lib/rabbitmq:z
environment:
RABBITMQ_DEFAULT_USER: 'stargao'
RABBITMQ_DEFAULT_PASS: 'ucloudcn'
RABBITMQ_NODENAME: 'rabbitmq3'
RABBITMQ_ERLANG_COOKIE: 'Dustyone-Murex-cluster-cookie'
hostname: rabbitmq3
links:
- rabbitmq1
- rabbitmq2
rabbitmq-haproxy:
image: haproxy
container_name: rabbitmq-haproxy
restart: always
ports:
- 8002:8002
- 5677:5677
- 8001:8001
volumes:
- /workspace/haproxy-etc:/usr/local/etc/haproxy:ro
links:
- rabbitmq1
- rabbitmq2
- rabbitmq3
networks:
default:
external:
name: rabbitmqnet
(1)启动容器
[root@ansible config]# docker-compose up -d
(2)删除容器
[root@ansible config]# docker-compose down
Removing rabbitmq-haproxy ... done
Removing rabbitmq3 ... done
Removing rabbitmq2 ... done
Removing rabbitmq1 ... done
Network rabbitmqnet is external, skipping
(3)查看容器运行情况
[root@ansible config]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
7f1321cd3b5e haproxy "docker-entrypoint..." 24 seconds ago Up 23 seconds 0.0.0.0:5677->5677/tcp, 0.0.0.0:8001-8002->8001-8002/tcp rabbitmq-haproxy
54576aa634de rabbitmq:3.8-rc-management "docker-entrypoint..." 25 seconds ago Up 24 seconds 4369/tcp, 5671/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:5674->5672/tcp, 0.0.0.0:15674->15672/tcp rabbitmq3
be24e8e3a4b7 rabbitmq:3.8-rc-management "docker-entrypoint..." 25 seconds ago Up 24 seconds 4369/tcp, 5671/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:5673->5672/tcp, 0.0.0.0:15673->15672/tcp rabbitmq2
0110e78d3388 rabbitmq:3.8-rc-management "docker-entrypoint..." 26 seconds ago Up 25 seconds 4369/tcp, 5671/tcp, 0.0.0.0:5672->5672/tcp, 15671/tcp, 15691-15692/tcp, 25672/tcp, 0.0.0.0:15672->15672/tcp rabbitmq1
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。