1 编写 mysql.yaml文件
编写yaml如下
apiVersion: v1
kind: Namespace
metadata:
name: devops # Namespace 的名称
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: devops-mysql # deployment控制器名称
namespace: devops
spec:
replicas: 1
revisionHistoryLimit: 5
strategy:
type: RollingUpdate
selector:
matchLabels:
app: devops-mysql
template:
metadata:
labels:
app: devops-mysql
spec:
volumes:
- name: devops-mysql
nfs:
server: xx.xx.xx.xx # 修改为挂载存储的服务器ip
path: /root/data/nfs/mysql/devops # 修改为存储服务器的存储挂载路径
containers:
- name: devops-mysql
image: mysql:5.7
env:
- name: MYSQL_ROOT_PASSWORD
value: xxxxxxxx # 设置MySQL数据库登录密码
imagePullPolicy: Always
ports:
- containerPort: 3306
volumeMounts:
- name: devops-mysql
mountPath: /var/lib/mysql
---
apiVersion: v1
kind: Service
metadata:
name: devops-mysql # 数据库服务的名称
namespace: devops
spec:
ports:
- port: 3306
protocol: TCP
targetPort: 3306
nodePort: 30001 # 对外访问的端口
selector:
app: devops-mysql
type: NodePort
sessionAffinity: ClientIP
2 执行如下命令创建
kubectl apply -f mysql.yaml
3 通过如下命令查看创建结果
使用如下命令查看
kubectl get pod -n devops | grep mysql
如:
[root@master ~]# kubectl get pod -n devops | grep mysql
devops-mysql-59b68c47d4-ttbng 1/1 Running 0 23h
[root@master ~]#
4 命令行进入Pod并登录mysql
如下;
[root@master ~]# kubectl exec -it devops-mysql-59b68c47d4-ttbng bash -n devops
kubectl exec [POD] [COMMAND] is DEPRECATED and will be removed in a future version. Use kubectl exec [POD] -- [COMMAND] instead.
root@devops-mysql-59b68c47d4-ttbng:/# mysql -uroot -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 13
Server version: 5.7.36 MySQL Community Server (GPL)
Copyright (c) 2000, 2021, Oracle and/or its affiliates.
Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mysql |
| performance_schema |
| sys |
+--------------------+
5 rows in set (0.01 sec)
mysql>