手把手带你玩转k8s-win10的k8s上搭建开发环境服务

前言

上一篇在win10系统上安装了docker并启用了其集成的k8s的环境，同时也以nginx为例在k8s上跑了一个完整的实例。本文还是在该k8s集群上操作，安装我们在开发过程中使用的服务，如：mysql/redis/rabbitmq等。

持久化

上一篇为了演示方便并没有使用持久化存储，本文这里要安装开发环境中的服务，持久化是不可缺少的环节。

共享目录

创建目录(git bash)
```
mkdir -p /d/mldong/docker-data/
```
设置目录权限(git bash)
```
chmod 777 -R /d/mldong/docker-data/
```
设置文件共享

详细说明可看documentation.

案例演示

配置后，这里先以nginx为例进行演示

mkdir -p /d/mldong/docker-data/nginx/html

新增文件(git bash)

echo "hello world" > /d/mldong/docker-data/nginx/html/index.html

运行nginx实例(PowerShell)

在这里使用git bash的话，会无效，所以使用powershell的方式。

docker run -p 81:80 -v /d/mldong/docker-data/nginx/html:/usr/share/nginx/html -d --name mynginx nginx

浏览器访问

清理(git bash)

# 停止刚运行的名称为mynginx的实例
docker ps -a | grep mynginx | awk '{print $1}' | xargs docker stop
# 删除刚运行的名称为mynginx的实例
docker ps -a | grep mynginx | awk '{print $1}' | xargs docker rm

安装服务

安装Mysql

初始化目录

mkdir -p /d/mldong/docker-data/mysql/data

定义文件

cat << EOF > /d/mldong/docker-data/mysql/mysql.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: mysql-dev
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: mysql-cm
  namespace: mysql-dev
data:
  my.cnf: |-
    [mysqld]
    user=mysql
    wait_timeout=2880000
    interactive_timeout = 2880000
    max_allowed_packet = 256M
    default-storage-engine=INNODB
    character-set-server=utf8mb4
    default-time_zone = '+8:00'
    [client]
    default-character-set=utf8mb4
    [mysql]
    default-character-set=utf8mb4
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: db
  namespace: mysql-dev
spec:
  selector:
    matchLabels:
      app: db
  replicas: 1
  template:
    metadata:
      annotations:
        version/config: V0001
      labels:
        app: db
    spec:
      containers:
        - name: db
          image: mysql:5.7.28
          imagePullPolicy: IfNotPresent
          ports:
            - containerPort: 3306
              name: port
              protocol: TCP
          env:
            - name: MYSQL_ROOT_PASSWORD
              value: "123456"
            - name: MYSQL_DATABASE
              value: "mldong"
            - name: MYSQL_USER
              value: "u_mldong"
            - name: MYSQL_PASSWORD
              value: "mldong@123456"
          volumeMounts:
            - name: mysql-cm
              mountPath: "/etc/mysql/mysql.conf.d"
            - name: mysql-data
              mountPath: "/var/lib/mysql"
      volumes:
        - name: mysql-cm
          configMap:
            name: mysql-cm
        - name: mysql-data
          hostPath:
            path: /d/mldong/docker-data/mysql/data
---
apiVersion: v1
kind: Service
metadata:
  name: db-nodeport
  namespace: mysql-dev
spec:
  type: NodePort
  ports:
  - port: 3306
    targetPort: 3306
    nodePort: 32306 # 这里不指定就会随机(30000-32767)
  selector:
    app: db
---
apiVersion: v1
kind: Service
metadata:
  name: db
  namespace: mysql-dev
spec:
  type: ClusterIP
  ports:
  - port: 3306
    protocol: TCP
    targetPort: 3306
  selector:
    app: db

EOF

拉取镜像

先拉取的话，第一次发布时不用等
```
docker pull mysql:5.7.28
```

开始发布

kubectl apply -f /d/mldong/docker-data/mysql/mysql.yaml

查看服务

kubectl get pods -n mysql-dev
kubectl get svc -n mysql-dev

测试连接

清理

kubectl delete -f /d/mldong/docker-data/mysql/mysql.yaml

安装Redis

初始化目录

mkdir -p /d/mldong/docker-data/redis/data

定义文件

cat << EOF > /d/mldong/docker-data/redis/redis.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: redis-dev
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: redis-cm
  namespace: redis-dev
data:
  redis.conf: |-
    #daemonize yes
    pidfile /data/redis.pid
    port 6379
    tcp-backlog 30000
    timeout 0
    tcp-keepalive 10
    loglevel notice
    logfile /data/redis.log
    databases 16
    #save 900 1
    #save 300 10
    #save 60 10000
    stop-writes-on-bgsave-error no
    rdbcompression yes
    rdbchecksum yes
    dbfilename dump.rdb
    dir /data
    slave-serve-stale-data yes
    slave-read-only yes
    repl-diskless-sync no
    repl-diskless-sync-delay 5
    repl-disable-tcp-nodelay no
    slave-priority 100
    requirepass 123456
    maxclients 30000
    appendonly yes
    appendfilename "appendonly.aof"
    appendfsync everysec
    no-appendfsync-on-rewrite no
    auto-aof-rewrite-percentage 100
    auto-aof-rewrite-min-size 64mb
    aof-load-truncated yes
    lua-time-limit 5000
    slowlog-log-slower-than 10000
    slowlog-max-len 128
    latency-monitor-threshold 0
    notify-keyspace-events KEA
    hash-max-ziplist-entries 512
    hash-max-ziplist-value 64
    list-max-ziplist-entries 512
    list-max-ziplist-value 64
    set-max-intset-entries 1000
    zset-max-ziplist-entries 128
    zset-max-ziplist-value 64
    hll-sparse-max-bytes 3000
    activerehashing yes
    client-output-buffer-limit normal 0 0 0
    client-output-buffer-limit slave 256mb 64mb 60
    client-output-buffer-limit pubsub 32mb 8mb 60
    hz 10
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redis-pod
  namespace: redis-dev
spec:
  selector:
    matchLabels:
      app: redis-pod
  replicas: 1
  template:
    metadata:
      annotations:
        version/config: V0001
      labels:
        app: redis-pod
    spec:
      containers:
        - name: redis-pod
          image: redis:5.0.4
          imagePullPolicy: IfNotPresent
          ports:
            - containerPort: 6379
              name: port
              protocol: TCP
          env:
          	- name: RABBITMQ_DEFAULT_USER
          	  value: admin
            - name: RABBITMQ_DEFAULT_PASS
              value: "123456"
          volumeMounts:
            - name: redis-cm
              mountPath: "/usr/local/etc/redis"
            - name: redis-data
              mountPath: "/data"
          command: ["/bin/sh"]
          args: ["-c", "redis-server /usr/local/etc/redis/redis.conf"]
      volumes:
        - name: redis-cm
          configMap:
            name: redis-cm
        - name: redis-data
          hostPath:
            path: /d/mldong/docker-data/redis/data
---
apiVersion: v1
kind: Service
metadata:
  name: redis-nodeport
  namespace: redis-dev
spec:
  type: NodePort
  ports:
  - port: 6379
    targetPort: 6379
    nodePort: 32379 # 这里不指定就会随机(30000-32767)
  selector:
    app: redis-pod
---
apiVersion: v1
kind: Service
metadata:
  name: redis
  namespace: redis-dev
spec:
  type: ClusterIP
  ports:
  - port: 6379
    protocol: TCP
    targetPort: 6379
  selector:
    app: redis-pod

EOF

拉取镜像
```
docker pull redis:5.0.4
```

开始发布

kubectl apply -f /d/mldong/docker-data/redis/redis.yaml

查看服务

kubectl get pods -n redis-dev
kubectl get svc -n redis-dev

测试连接

清理

kubectl delete -f /d/mldong/docker-data/redis/redis.yaml

安装Rabbitmq

初始化目录

mkdir -p /d/mldong/docker-data/rabbitmq

定义文件

cat << EOF > /d/mldong/docker-data/rabbitmq/rabbitmq.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: rabbitmq-dev
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: rabbitmq-pod
  namespace: rabbitmq-dev
spec:
  selector:
    matchLabels:
      app: rabbitmq-pod
  replicas: 1
  template:
    metadata:
      annotations:
        version/config: V0001
      labels:
        app: rabbitmq-pod
    spec:
      containers:
        - name: rabbitmq-pod
          image: rabbitmq:management
          imagePullPolicy: IfNotPresent
          ports:
            - containerPort: 15672
              name: port
              protocol: TCP
            - containerPort: 5672
              name: management-port
              protocol: TCP
          env:
            - name: RABBITMQ_DEFAULT_USER
              value: admin
            - name: RABBITMQ_DEFAULT_PASS
              value: "123456"
---
apiVersion: v1
kind: Service
metadata:
  name: rabbitmq-nodeport
  namespace: rabbitmq-dev
spec:
  type: NodePort
  ports:
  - port: 5672
    targetPort: 5672
    nodePort: 32672 # 这里不指定就会随机(30000-32767)
  selector:
    app: rabbitmq-pod
---
apiVersion: v1
kind: Service
metadata:
  name: management-nodeport
  namespace: rabbitmq-dev
spec:
  type: NodePort
  ports:
  - port: 15672
    targetPort: 15672
    nodePort: 31672 # 这里不指定就会随机(30000-32767)
  selector:
    app: rabbitmq-pod
EOF

拉取镜像
```
docker pull rabbitmq:management
```

开始发布

kubectl apply -f /d/mldong/docker-data/rabbitmq/rabbitmq.yaml

查看服务

kubectl get pods -n rabbitmq-dev
kubectl get svc -n rabbitmq-dev

测试连接-管理端

连接测试-springboot

略。需要注意的是，这里暴露的端口为32672。

清理

kubectl delete -f /d/mldong/docker-data/rabbitmq/rabbitmq.yaml

小结

本文使用Docker for Windows上的k8s集群搭建本地开发服务。部署服务的思路和在阿里云上的差不多，不过因为本地环境的特殊性，这里使用了hostpath的方式去配置持久化，中间少了pv/pvc/ingress的环节。当然，除了部署到k8s集群上，我们还可以使用原生命令或docker-compose工具部署。在这里就先不细说了，其实只是定义文件和发布命令略微有些区别。