rabbitMq集群搭建及nginx负载均衡
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。 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-management docker 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-management docker 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
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。
