Category: SQL

1. Copy the code below into a file named mssql.yaml
2. Apply the deployment file to your kubernetes cluster using:

sed -i s/TXlDMG05bCZ4UEBzc3cwcmQ=/$(pwgen -s 120 1 | base64 -w 0)/ mssql.yaml;
kubectl apply -f mssql.yaml

Note: username and password are base64 encoded and NOT encrypted.
Therefore do not store your credentials this way in a production environment, use

read -sep "Enter mssql sa password: " mssql_sa_pass; kubectl create secret generic mssql2 --from-literal=password=$mssql_sa_pass --type=kubernetes.io/basic-auth

instead of adding it to the deployment yaml file.

apiVersion: v1
data:
  username: c2EK
  password: TXlDMG05bCZ4UEBzc3cwcmQ=
kind: Secret
metadata:
  name: mssql
type: kubernetes.io/basic-auth
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mssql-deployment
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mssql
  template:
    metadata:
      labels:
        app: mssql
    spec:
      terminationGracePeriodSeconds: 10
      containers:
      - name: mssql
        image: mcr.microsoft.com/mssql/server:latest
        ports:
        - containerPort: 1433
        env:
        - name: MSSQL_PID
          value: "Developer"
        - name: ACCEPT_EULA
          value: "Y"
        - name: SA_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mssql
              key: password 
        volumeMounts:
        - name: mssql
          mountPath: /var/opt/mssql
      volumes:
      - name: mssql
        hostPath:
          path: /srv/mssql
          type: DirectoryOrCreate
      initContainers:
      - name: install
        image: busybox
        command:
        - chown
        - "10001:10001"
        - "/work-dir"
        volumeMounts:
        - name: mssql
          mountPath: "/work-dir"
---
apiVersion: v1
kind: Service
metadata:
  name: mssql-deployment
spec:
  selector:
    app: mssql
  ports:
    - protocol: TCP
      port: 1433
      targetPort: 1433
  type: LoadBalancer