部署ruoyi-vue实例前,需要准备看带有k8s环境的服务器,不懂部署环境请看我的上一篇文章centos 部署k8s集群

1.前期准备

1.1需要提前准备若依的sql文件,前端打包文件,后台打包文件,不懂请参照若依文档
1.2创建目录
# mysql 数据持久化
mkdir -d  /root/docker/ruoyi/mysql/data
# mysql  初始化sql文件
mkdir -d  /root/docker/ruoyi/mysql/init
# mysql  日志
mkdir -d  /root/docker/ruoyi/mysql/logs
# nginx
mkdir -d  /root/docker/ruoyi/nginx/conf
mkdir -d  /root/docker/ruoyi/nginx/logs
# ruoyi 后台打包jar文件
mkdir -d /root/docker/ruoyi/ry-admin
# ruoyi 前端j打包文件
mkdir -d /root/docker/ruoyi/ry-ui

将ruoyi-admin.jar放入/root/docker/ruoyi/ry-admin目录下
将打包文件dist放入/root/docker/ruoyi/ry-ui目录下
将sql文件[quartz.sql,ry_20230223.sql]放入/root/docker/ruoyi/mysql/init目录下
注:这里sql文件需要在文件首行加入以下代码,不然mysql自动导入时会出现乱码

SET character_set_client = utf8;
SET character_set_results = utf8;
SET character_set_connection = utf8;

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2.构建docker 镜像文件

由于k8s不能单独映射文件,对于前端项目、nginx、后台jar包需要自己构建docker镜像文件。

2.1编写dockerfile文件

ry-admin dockerfile文件

FROM openjdk:8
MAINTAINER 1126680959@qq.com
VOLUME /tmp
ADD ruoyi-admin.jar app.jar
ENV TZ 'Asia/Shanghai'
ENV LANG C.UTF-8
ENV LANGUAGE C.UTF-8
ENV LC_ALL C.UTF-8
# 启动认证服务
ENTRYPOINT nohup java  -jar app.jar --server.port=8090 --spring.profiles.active=prod 

nginx dockerfile文件

# 基础镜像
FROM nginx
# author
MAINTAINER zhouhx

# 挂载目录
VOLUME /root/docker/ruoyi/ry-ui
# 创建目录
RUN mkdir -p /root/docker/ruoyi/ry-ui
# 指定路径
WORKDIR /root/docker/ruoyi/ry-ui
# 复制conf文件到路径
COPY ./conf/nginx.conf /etc/nginx/nginx.conf

#设置时区
RUN /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo 'Asia/Shanghai' >/etc/timezone

nginx conf文件


user  root;
worker_processes  1;

#error_log  logs/error.log;
#error_log  logs/error.log  notice;
#error_log  logs/error.log  info;

#pid        logs/nginx.pid;


events {
    worker_connections  1024;
}


http {
    include       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  logs/access.log  main;

    sendfile        on;
    #tcp_nopush     on;

    #keepalive_timeout  0;
    keepalive_timeout  65;

    #gzip  on;
	
	upstream tomcat-server{	
	# 后端服务地址 
	  server 192.168.31.101:30809;	  
    }
	server {
        listen       80;
        server_name  localhost;
		charset utf-8;

		location / {
		    # 前端文件路径
            root   /root/docker/ruoyi/ry-ui/dist;
			try_files $uri $uri/ /index.html;
            index  index.html index.htm;
        }
		
		location /prod-api/ {
			proxy_set_header Host $http_host;
			proxy_set_header X-Real-IP $remote_addr;
			proxy_set_header REMOTE-HOST $remote_addr;
			proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
			proxy_pass http://tomcat-server/;
		}

        error_page   500 502 503 504  /50x.html;
        location = /50x.html {
            root   html;
        }
    }
  
}

将文件放入对应的目录,如下图
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2.2构建镜像
# 后端镜像
cd /root/docker/ruoyi/ry-admin
docker build -f Dockerfile -t ry-nginx:3.8.5 .
# nginx镜像
cd /root/docker/ruoyi/nginx
docker build -f Dockerfile -t ry-nginx:3.8.5 .

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注意:有几台服务器的话,就要分别在服务器上构建这些镜像,嫌麻烦的话可以自己装一个私有镜像仓库Harbor

3编写k8s编排服务文件(k8s-ruoyi.yaml)

apiVersion: v1
kind: Namespace
metadata:
  name: ruoyi

---
apiVersion: v1
kind: Service
metadata:
  namespace: ruoyi
  name: ruoyi-mysql
  labels:
    app: mysql-service
spec:
  selector:
    app: mysql-pod
  type: NodePort
  ports:
    - nodePort: 30006
      port: 3306
      protocol: TCP
      targetPort: 3306

---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ruoyi
  name: ruoyi-mysql
  labels:
    app: mysql-deploy
spec:
  selector:
    matchLabels:
      app: mysql-pod
  replicas: 1
  template:
    metadata:
      labels:
        app: mysql-pod
    spec:
      nodeName: k8s-master
      containers:
      - name: mysql
        image: mysql:5.7
        ports:
          - containerPort: 3306
        args:
          - --character-set-server=utf8mb4
          - --collation-server=utf8mb4_general_ci
          - --default-authentication-plugin=mysql_native_password
        env:
          - name: MYSQL_DATABASE
            value: ry-vue
          - name: MYSQL_ROOT_PASSWORD
            value: '123456'
          - name: TZ
            value: Asia/Shanghai
        volumeMounts:
          - name: init
            mountPath: /docker-entrypoint-initdb.d
          - name: data
            mountPath: /var/lib/mysql
          - name: logs
            mountPath: /var/log/mysql/
          - name: config
            mountPath: /etc/mysql/conf.d
      volumes:                                  # 本地需要挂载到容器里的数据卷定义部分
        - name: time-zone                       # 数据卷名称,需要与容器内挂载点名称一致
          hostPath:
            path: /etc/localtime                # 挂载到容器里的路径,将localtime文件挂载到容器里,可让容器使用本地的时区
        - name: data
          hostPath:
            path: /root/docker/ruoyi/mysql/data              # 本地存放mysql数据的目录
        - name: logs
          hostPath:
            path: /root/docker/ruoyi/mysql/logs              # 本地存入mysql日志的目录			
        - name: init
          hostPath:
            path: /root/docker/ruoyi/mysql/init
        - name: config
          hostPath:
            path: /root/docker/ruoyi/mysql/config    
---
apiVersion: v1
kind: ConfigMap
metadata:
  namespace: ruoyi
  name: mysql-configmap
data:
  my.cnf: |
    [mysqld]
    datadir=/var/lib/mysql
    socket=/var/lib/mysql/mysql.sock
    symbolic-links=0
    [mysqld_safe]
    log-error=/var/log/mysql/mysql.log
    pid-file=/var/run/mysql/mariadb.pid
    
---
apiVersion: v1
kind: Service
metadata:
  namespace: ruoyi
  name: ruoyi-redis
  labels:
    app: redis-service
spec:
  selector:
    app: redis-pod
  type: NodePort
  ports:
    - nodePort: 30007
      port: 6379
      protocol: TCP
      targetPort: 6379

---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ruoyi
  name: ruoyi-redis
  labels:
    app: redis-deploy
spec:
  selector:
    matchLabels:
      app: redis-pod
  replicas: 1
  template:
    metadata:
      labels:
        app: redis-pod
    spec:
      nodeName: k8s-master
      containers:
      - name: redis
        image: redis:7.0.9
        ports:
          - containerPort: 6379
        command:
          - redis-server
        #args:
         # - /etc/redis/redis.conf
        env:
          - name: TZ
            value: Asia/Shanghai
        volumeMounts:
          - name: data
            mountPath: /var/lib/redis
         # - name: config
         #   mountPath: /etc/redis/
      volumes:
        - name: data
          hostPath:
            path: /root/docker/ruoyi/redis/data
        #- name: config
        #  hostPath:
        #    path: /root/docker/ruoyi/redis/config
---
apiVersion: v1
kind: Service
metadata:
  namespace: ruoyi
  name: ruoyi-admin
  labels:
    app: ry-admin-service
spec:
  selector:
    app: ry-admin-pod
  type: NodePort
  ports:
    - nodePort: 30809
      port: 8090
      protocol: TCP
      targetPort: 8090

---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ruoyi
  name: ruoyi-admin
  labels:
    app: ry-admin-deploy
spec:
  selector:
    matchLabels:
      app: ry-admin-pod
  replicas: 1
  template:
    metadata:
      labels:
        app: ry-admin-pod
    spec:
      nodeName: k8s-master
      containers:
      - name: ry-admin
        image: ry-admin:3.8.5
        imagePullPolicy: Never  # 使用本地镜像
        ports:
          - containerPort: 8090
        env:
          - name: TZ
            value: Asia/Shanghai
        volumeMounts:
          - name: data
            mountPath: /home/ruoyi
      volumes:
         - name: data
           hostPath:
             path: /root/docker/ruoyi/ry-admin/data     
             
---
apiVersion: v1
kind: Service
metadata:
  namespace: ruoyi
  name: ruoyi-nginx
  labels:
    app: ry-nginx-service
spec:
  selector:
    app: ry-nginx-pod
  type: NodePort
  ports:
    - nodePort: 30010
      port: 80
      protocol: TCP
      targetPort: 80

---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ruoyi
  name: ruoyi-nginx
  labels:
    app: ry-nginx-deploy
spec:
  selector:
    matchLabels:
      app: ry-nginx-pod
  replicas: 1
  template:
    metadata:
      labels:
        app: ry-nginx-pod
    spec:
      nodeName: k8s-master
      containers:
      - name: ry-nginx
        image: ry-nginx:3.8.5
        imagePullPolicy: Never  # 使用本地镜像
        ports:
          - containerPort: 80
        env:
          - name: TZ
            value: Asia/Shanghai
        volumeMounts:
          - name: logs
            mountPath: /var/log/nginx
          - name: data
            mountPath: /root/docker/ruoyi/ry-ui  
      volumes:
         - name: logs
           hostPath:
             path: /root/docker/ruoyi/nginx/logs
         - name: data
           hostPath:
             path: /root/docker/ruoyi/ry-ui    

将文件放入/root/docker/ruoyi下
这里定义了ruoyi-admin、ruoyi-mysql、ruoyi-redis、ruoyi-nginx服务,主要是用nginx来分发后台服务实现负载均衡

4 运行yml文件创建服务

cd /root/docker/ruoyi
# 创建服务
kubectl apply -f k8s-ruoyi.yaml
#执行完后查看服务
kubectl get pod -A -o wide
# 若要删除服务
kubectl delete -f k8s-ruoyi.yaml

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状态都running后,访问ip:30010进入若依登录页

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5 说明

k8s有一个弹性伸缩的概念,即可以添加或删除副本数,以满足服务(Deployment)的调配

 # 查看服务规模
 kubectl get deployment -n ruoyi
 # 调整deployment,指定副本数量
 kubectl scale  deployment/ruoyi-admin --replicas=2 -n ruoyi

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通过kubectl describe service/ruoyi-admin -n ruoyi命令,可以看到Service的状态里已经侦测到多个EndPoint在这里插入图片描述
上面是讲的手动调整服务规模,当前k8s还提供了自动伸缩的能力即AutoScaler
注意:k8s 默认master节点是不参与pod的调配的,如果需要请执行以下命令

#查看污点
[root@master1 ~]# kubectl describe node k8s-master | grep Taints
Taints: node-role.kubernetes.io/master:NoSchedule
#去除污点,允许 master 部署 pod ,这里报错不用管
[root@master1 ~]# kubectl taint nodes --all node-role.kubernetes.io/master-
node/master1 untainted
error: taint "node-role.kubernetes.io/master" not found
#再次查看,无显示,说明污点去除成功
[root@master1 ~]# kubectl describe node master1 | grep Taints
Taints:    <none>

6 k8s常用命令

# 查看所有pod信息
 kubectl get pod -A -o wide
# 查看k8s命名空间
kubectl get ns
# 快速重启pod
kubectl -n 命名空间名 delete pod pod名字
#滚动重启命令
kubectl -n 命名空间名 rollout restart deployment deployment名字
#通常当一个pod处于Error状态或者是CrashLoopBackOff状态时我们需要查看pod的日志。
#查看pod日志的命令
kubectl -n 命名空间名 logs -f  pod名  
#当pod不属于running,Error,CrashLoopBackOff的其他异常状态时通常时k8s内部集群调度引发的异常。通过describe命令查看具体原因。
kubectl  describe pod pod名 -n 命名空间名
# 查看服务规模
kubectl get deployment -n 命名空间名
# 查看服务
kubectl describe service/服务名 -n  命名空间名
# 调整deployment,指定副本数量
kubectl scale  deployment/服务名 --replicas=副本数量 -n 命名空间名
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