Редактиране

Споделяне чрез

Quickstart: Deploy a SQL Server container cluster on Azure

  • Статия

Applies to: SQL Server - Linux

This quickstart demonstrates how to configure a highly available SQL Server instance in a container with persistent storage, on Azure Kubernetes Service (AKS) or Red Hat OpenShift. If the SQL Server instance fails, the orchestrator automatically re-creates it in a new pod. The cluster service also provides resiliency against a node failure.

This quickstart uses the following command line tools to manage the cluster.

Cluster service Command line tool
Azure Kubernetes Service (AKS) kubectl (Kubernetes CLI)
Azure Red Hat OpenShift oc (OpenShift CLI)

Prerequisites

Create an SA password

  1. Create an SA password in the Kubernetes cluster. Kubernetes can manage sensitive configuration information, like passwords as secrets.

  2. To create a secret in Kubernetes named mssql that holds the value MyC0m9l&xP@ssw0rd for the MSSQL_SA_PASSWORD, run the following command. Remember to pick your own complex password:

    Important

    The SA_PASSWORD environment variable is deprecated. Use MSSQL_SA_PASSWORD instead.

    kubectl create secret generic mssql --from-literal=MSSQL_SA_PASSWORD="MyC0m9l&xP@ssw0rd"

Create storage

For a database in a Kubernetes cluster, you must use persisted storage. You can configure a persistent volume and persistent volume claim in the Kubernetes cluster using the following steps:

  1. Create a manifest to define the storage class and the persistent volume claim. The manifest specifies the storage provisioner, parameters, and reclaim policy. The Kubernetes cluster uses this manifest to create the persistent storage.

  2. The following YAML example defines a storage class and persistent volume claim. The storage class provisioner is azure-disk, because this Kubernetes cluster is in Azure. The storage account type is Standard_LRS. The persistent volume claim is named mssql-data. The persistent volume claim metadata includes an annotation connecting it back to the storage class.

    kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
     name: azure-disk
provisioner: kubernetes.io/azure-disk
parameters:
  storageaccounttype: Standard_LRS
  kind: Managed
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: mssql-data
  annotations:
    volume.beta.kubernetes.io/storage-class: azure-disk
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 8Gi

    Save the file (for example, pvc.yaml).

  3. Create the persistent volume claim in Kubernetes, where <path to pvc.yaml file> is the location where you saved the file:

    kubectl apply -f <path to pvc.yaml file>

    The persistent volume is automatically created as an Azure storage account, and bound to the persistent volume claim.

    storageclass "azure-disk" created
persistentvolumeclaim "mssql-data" created

  4. Verify the persistent volume claim, where <persistentVolumeClaim> is the name of the persistent volume claim:

    kubectl describe pvc <persistentVolumeClaim>

    In the preceding step, the persistent volume claim is named mssql-data. To see the metadata about the persistent volume claim, run the following command:

    kubectl describe pvc mssql-data

    The returned metadata includes a value called Volume. This value maps to the name of the blob.

    Name:          mssql-data
Namespace:     default
StorageClass:  azure-disk
Status:        Bound
Volume:        pvc-d169b88e-f26d-11e7-bc3e-0a58ac1f09a4
Labels:        ‹none>
Annotations:   kubectl.kubernetes.io/last-applied-configuration-{"apiVersion":"v1","kind":"PersistentVolumeClaim","metadata":{"annotations":{"volume.beta.   kubernetes.io/storage-class":"azure-disk"},"name":"mssq1-data...
               pv.kubernetes.io/bind-completed-yes
               pv.kubernetes.io/bound-by-controller=yes
               volume.beta.kubernetes.io/storage-class=azure-disk
               volume.beta.kubernetes.io/storage-provisioner=kubernetes.io/azure-disk
Capacity:      8Gi
Access Modes:  RWO
Events:        <none>

    The value for volume matches part of the name of the blob in the following image from the Azure portal:

    Screenshot of the Azure portal blob name.

  5. Verify the persistent volume.

    kubectl describe pv

    kubectl returns metadata about the persistent volume that was automatically created and bound to the persistent volume claim.

Create the deployment

The container hosting the SQL Server instance is described as a Kubernetes deployment object. The deployment creates a replica set. The replica set creates the pod.

You create a manifest to describe the container, based on the SQL Server mssql-server-linux Docker image.

  • The manifest references the mssql-server persistent volume claim, and the mssql secret that you already applied to the Kubernetes cluster.
  • The manifest also describes a service. This service is a load balancer. The load balancer guarantees that the IP address persists after SQL Server instance is recovered.
  • The manifest describes resource requests and limits. These are based on the minimum system requirements.

  1. Create a manifest (a YAML file) to describe the deployment. The following example describes a deployment, including a container based on the SQL Server container image.

    apiVersion: apps/v1
kind: Deployment
metadata:
  name: mssql-deployment
spec:
  replicas: 1
  selector:
     matchLabels:
       app: mssql
  template:
    metadata:
      labels:
        app: mssql
    spec:
      terminationGracePeriodSeconds: 30
      hostname: mssqlinst
      securityContext:
        fsGroup: 10001
      containers:
      - name: mssql
        image: mcr.microsoft.com/mssql/server:2022-latest
        resources:
          requests:
            memory: "2G"
            cpu: "2000m"
          limits:
            memory: "2G"
            cpu: "2000m"
        ports:
        - containerPort: 1433
        env:
        - name: MSSQL_PID
          value: "Developer"
        - name: ACCEPT_EULA
          value: "Y"
        - name: MSSQL_SA_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mssql
              key: MSSQL_SA_PASSWORD
        volumeMounts:
        - name: mssqldb
          mountPath: /var/opt/mssql
      volumes:
      - name: mssqldb
        persistentVolumeClaim:
          claimName: mssql-data
---
apiVersion: v1
kind: Service
metadata:
  name: mssql-deployment
spec:
  selector:
    app: mssql
  ports:
    - protocol: TCP
      port: 1433
      targetPort: 1433
  type: LoadBalancer

    Copy the preceding code into a new file, named sqldeployment.yaml. Update the following values:

    • MSSQL_PID value: "Developer": Sets the container to run SQL Server Developer edition. Developer edition isn't licensed for production data. If the deployment is for production use, set the appropriate edition (Enterprise, Standard, or Express). For more information, see How to license SQL Server.

    • persistentVolumeClaim: This value requires an entry for claimName: that maps to the name used for the persistent volume claim. This tutorial uses mssql-data.

    • name: MSSQL_SA_PASSWORD: Configures the container image to set the SA password, as defined in this section.

      valueFrom:
  secretKeyRef:
    name: mssql
    key: MSSQL_SA_PASSWORD

      When Kubernetes deploys the container, it refers to the secret named mssql to get the value for the password.

    • securityContext: Defines privilege and access control settings for a pod or container. In this case, it's specified at the pod level, so all containers adhere to that security context. In the security context, we define the fsGroup with the value 10001, which is the Group ID (GID) for the mssql group. This value means that all processes of the container are also part of the supplementary GID 10001 (mssql). The owner for volume /var/opt/mssql and any files created in that volume will be GID 10001 (the mssql group).

    Warning

    By using the LoadBalancer service type, the SQL Server instance is accessible remotely (via the Internet) at port 1433.

    Save the file. For example, sqldeployment.yaml.

  2. Create the deployment, where <path to sqldeployment.yaml file> is the location where you saved the file:

    kubectl apply -f <path to sqldeployment.yaml file>

    The deployment and service are created. The SQL Server instance is in a container, connected to persistent storage.

    deployment "mssql-deployment" created
service "mssql-deployment" created

    The deployment and service are created. The SQL Server instance is in a container, connected to persistent storage.

    To view the status of the pod, type kubectl get pod.

    NAME                                READY    STATUS    RESTARTS   AGE
mssql-deployment-3813464711-h312s   1/1      Running   0          17m

    The pod has a status of Running. This status indicates that the container is ready. After the deployment is created, it can take a few minutes before the pod is visible. The delay is because the cluster pulls the mssql-server-linux image from the Microsoft Artifact Registry. After the image is pulled the first time, subsequent deployments might be faster if the deployment is to a node that already has the image cached on it.

  3. Verify the services are running. Run the following command:

    kubectl get services

    This command returns services that are running, and the internal and external IP addresses for the services. Note the external IP address for the mssql-deployment service. Use this IP address to connect to SQL Server.

    NAME               TYPE           CLUSTER-IP    EXTERNAL-IP     PORT(S)          AGE
kubernetes         ClusterIP      10.0.0.1      <none>          443/TCP          52m
mssql-deployment   LoadBalancer   10.0.113.96   52.168.26.254   1433:30619/TCP   2m

    For more information about the status of the objects in the Kubernetes cluster, run the following command. Remember to replace <MyResourceGroup> and <MyKubernetesClustername> with your resource group and Kubernetes cluster name:

    az aks browse --resource-group <MyResourceGroup> --name <MyKubernetesClustername>

  4. You can also verify the container is running as non-root by running the following command, where <nameOfSqlPod> is the name of your SQL Server pod:

    kubectl.exe exec <nameOfSqlPod> -it -- /bin/bash

    You can see the username as mssql if you run whoami. mssql is a non-root user.

    whoami

Connect to the SQL Server instance

You can connect with an application from outside the Azure virtual network, using the sa account and the external IP address for the service. Use the password that you configured as the OpenShift secret.

You can use the following applications to connect to the SQL Server instance.

Connect with sqlcmd

To connect with sqlcmd, run the following command:

sqlcmd -S <External IP Address> -U sa -P "MyC0m9l&xP@ssw0rd"

Replace the following values:

  • <External IP Address> with the IP address for the mssql-deployment service
  • MyC0m9l&xP@ssw0rd with your complex password

Verify failure and recovery

To verify failure and recovery, you can delete the pod with the following steps:

  1. List the pod running SQL Server.

    kubectl get pods

    Note the name of the pod running SQL Server.

  2. Delete the pod.

    kubectl delete pod mssql-deployment-0

    mssql-deployment-0 is the value returned from the previous step for the pod name.

Kubernetes automatically recreates the pod to recover a SQL Server instance, and connects to the persistent storage. Use kubectl get pods to verify that a new pod is deployed. Use kubectl get services to verify that the IP address for the new container is the same.

Clean up resources

If you don't plan on going through the tutorials that follow, clean up your unnecessary resources. Use the az group delete command to remove the resource group, container service, and all related resources. Replace <MyResourceGroup> with the name of the resource group containing your cluster.

az group delete --name <MyResourceGroup> --yes --no-wait

Related content