rabbitMq集群搭建及nginx负载均衡

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我们搭建一个三台rabbitMq组成的集群
拉取镜像

docker pull rabbitmq:3.7-management

创建目录，给挂载卷做好准备

mkdir rabbitmqcluster
cd rabbitmqcluster/
mkdir rabbitmq01 rabbitmq02 rabbitmq03

启动节点

docker run -d --hostname rabbitmq01 --name rabbitmqCluster01 -v /home/soft/rabbitmqcluster/rabbitmq01:/var/lib/rabbitmq -p 15672:15672 -p 5672:5672 -e RABBITMQ_ERLANG_COOKIE='rabbitmqCookie' rabbitmq:3.7-managementdocker run -d --hostname rabbitmq02 --name rabbitmqCluster02 -v /home/soft/rabbitmqcluster/rabbitmq02:/var/lib/rabbitmq -p 15673:15672 -p 5673:5672 -e RABBITMQ_ERLANG_COOKIE='rabbitmqCookie'  --link rabbitmqCluster01:rabbitmq01 rabbitmq:3.7-managementdocker run -d --hostname rabbitmq03 --name rabbitmqCluster03 -v /home/soft/rabbitmqcluster/rabbitmq03:/var/lib/rabbitmq -p 15674:15672 -p 5674:5672 -e RABBITMQ_ERLANG_COOKIE='rabbitmqCookie'  --link rabbitmqCluster01:rabbitmq01 --link rabbitmqCluster02:rabbitmq02  rabbitmq:3.7-management

设置集群，将容器节点加入集群

docker exec -it rabbitmqCluster01 bash
rabbitmqctl stop_app
rabbitmqctl reset
rabbitmqctl start_app
exit

其他两台类似

docker exec -it rabbitmqCluster02 bash
rabbitmqctl stop_app
rabbitmqctl reset
rabbitmqctl join_cluster --ram rabbit@rabbitmq01
rabbitmqctl start_app
exit

docker exec -it rabbitmqCluster03 bash
rabbitmqctl stop_app
rabbitmqctl reset
rabbitmqctl join_cluster --ram rabbit@rabbitmq01
rabbitmqctl start_app
exit

查看node信息，可以看到3台

如上rabbitMq的集群环境已搭建完毕，以下使用nginx做负载均衡
配置文件nginx_rabbitmq.conf,保存位置/root/rabbitmqcluster，用于启动nginx容器准备

user  nginx;
worker_processes  1;error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;events {worker_connections  1024;
}http {include       /etc/nginx/mime.types;default_type  application/octet-stream;log_format  main  '$remote_addr - $remote_user [$time_local] "$request" ''$status $body_bytes_sent "$http_referer" ''"$http_user_agent" "$http_x_forwarded_for"';access_log  /var/log/nginx/access.log  main;sendfile        on;#tcp_nopush     on;keepalive_timeout  65;#gzip  on;proxy_redirect          off;proxy_set_header        Host $host;proxy_set_header        X-Real-IP $remote_addr;proxy_set_header        X-Forwarded-For $proxy_add_x_forwarded_for;client_max_body_size    10m;client_body_buffer_size   128k;proxy_connect_timeout   5s;proxy_send_timeout      5s;proxy_read_timeout      5s;proxy_buffer_size        4k;proxy_buffers           4 32k;proxy_busy_buffers_size  64k;proxy_temp_file_write_size 64k;#rabbitmq管理界面upstream rabbitManage {server 192.168.37.101:15672;server 192.168.37.101:15673;server 192.168.37.101:15674;}server {listen       15675;server_name  192.168.37.101; location / {  proxy_pass   http://rabbitManage;index  index.html index.htm;  }  }
}
# rabbitmq通信
stream{upstream rabbitTcp{server 192.168.37.101:5672;server 192.168.37.101:5673;server 192.168.37.101:5674;}server {listen 5675;proxy_pass rabbitTcp;}
}

启动nginx

docker run -it -d --name nginxRabbitmq -v /root/rabbitmqcluster/nginx_rabbitmq.conf:/etc/nginx/nginx.conf  --privileged --net=host nginx

接着读者可以通过 http://192.168.37.101:15675 进行管理 以及通过 5675 端口 进行rabbitmq通信。

另外一种方式，使用镜像，并使用ha_proxy，使用虚拟ip的方式，参考博客https://blog.csdn.net/belonghuang157405/article/details/83540148

前些天发现了一个巨牛的人工智能学习网站，通俗易懂，风趣幽默，忍不住分享一下给大家。点击跳转到教程

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