Backup and Restore Microsoft SQL Server database using KubeStash
KubeStash allows you to backup and restore Microsoft SQL Server databases. It supports backups for Microsoft SQL Server instances running in Standalone, and Availability Group configurations. KubeStash makes managing your Microsoft SQL Server backups and restorations more straightforward and efficient.
This guide will give you an overview how you can take backup and restore your Microsoft SQL Server databases using Kubestash.
Before You Begin
- At first, you need to have a Kubernetes cluster, and the
kubectlcommand-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by usingMinikubeorKind. - Install
KubeDBin your cluster following the steps here. - Install
KubeStashin your cluster following the steps here. - Install KubeStash
kubectlplugin following the steps here. - If you are not familiar with how KubeStash backup and restore Microsoft SQL Server databases, please check the following guide here.
You should be familiar with the following KubeStash concepts:
To keep everything isolated, we are going to use a separate namespace called demo throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Note: YAML files used in this tutorial are stored in docs/guides/mssqlserver/backup/logical/examples directory of kubedb/docs repository.
Backup Microsoft SQL Server
KubeStash supports backups for Microsoft SQL Server instances across different configurations, including Standalone and Availability Group setups. In this demonstration, we’ll focus on a Microsoft SQL Server database using Standalone configuration. The backup and restore process is similar for Availability Group configuration.
This section will demonstrate how to backup a Microsoft SQL Server database. Here, we are going to deploy a Microsoft SQL Server database using KubeDB. Then, we are going to backup this database into a GCS bucket. Finally, we are going to restore the backup up data into another Microsoft SQL Server database.
Deploy Sample Microsoft SQL Server Database
By default, a KubeDB-managed Microsoft SQL Server instance run with TLS disabled. However, the .spec.tls field is mandatory and will be used during backup and restore operations.
Create Issuer/ClusterIssuer:
Now, we are going to create an example Issuer CR that will be used throughout the duration of this tutorial. Alternatively, you can follow this cert-manager tutorial to create your own Issuer.
By following the below steps, we are going to create our desired issuer,
- Start off by generating our ca-certificates using openssl,
$ openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout ./ca.key -out ./ca.crt -subj "/CN=mssqlserver/O=kubedb"
- create a secret using the certificate files we have just generated,
$ kubectl create secret tls mssqlserver-ca --cert=ca.crt --key=ca.key --namespace=demo
secret/mssqlserver-ca created
Now, we are going to create an Issuer CR using the mssqlserver-ca secret that contains the ca-certificate we have just created. Below is the YAML of the Issuer cr that we are going to create,
apiVersion: cert-manager.io/v1
kind: Issuer
metadata:
name: mssqlserver-ca-issuer
namespace: demo
spec:
ca:
secretName: mssqlserver-ca
Let’s create the Issuer CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/mssqlserver-ca-issuer.yaml
issuer.cert-manager.io/mssqlserver-ca-issuer.yaml created
Create MSSQLServer CR:
Below is the YAML of a sample MSSQLServer CR that we are going to create for this tutorial:
apiVersion: kubedb.com/v1alpha2
kind: MSSQLServer
metadata:
name: sample-mssqlserver
namespace: demo
spec:
version: "2022-cu12"
replicas: 1
storageType: Durable
tls:
issuerRef:
name: mssqlserver-ca-issuer
kind: Issuer
apiGroup: "cert-manager.io"
clientTLS: false
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
deletionPolicy: WipeOut
Create the above MSSQLServer CR,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/sample-mssqlserver.yaml
mssqlserver.kubedb.com/sample-mssqlserver created
KubeDB will deploy a Microsoft SQL Server database according to the above specification. It will also create the necessary Secrets and Services to access the database.
Let’s check if the database is ready to use,
$ kubectl get mssqlserver -n demo sample-mssqlserver
NAME VERSION STATUS AGE
sample-mssqlserver 2022-cu12 Ready 3m27
The database is Ready. Verify that KubeDB has created a Secret and a Service for this database using the following commands,
$ kubectl get secret -n demo
NAME TYPE DATA AGE
mssqlserver-ca kubernetes.io/tls 2 2d20h
sample-mssqlserver-auth kubernetes.io/basic-auth 2 3m44s
sample-mssqlserver-client-cert kubernetes.io/tls 3 3m14s
sample-mssqlserver-server-cert kubernetes.io/tls 3 3m14s
$ kubectl get service -n demo -l=app.kubernetes.io/instance=sample-mssqlserver
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
sample-mssqlserver ClusterIP 10.96.165.94 <none> 1433/TCP 4m32s
sample-mssqlserver-pods ClusterIP None <none> 1433/TCP 4m32s
Here, we have to use service sample-mssqlserver and secret sample-mssqlserver-auth to connect with the database. KubeDB creates an AppBinding CR that holds the necessary information to connect with the database.
Verify AppBinding:
Verify that the AppBinding has been created successfully using the following command,
$ kubectl get appbindings -n demo
NAME TYPE VERSION AGE
sample-mssqlserver kubedb.com/mssqlserver 2022 4m18s
Let’s check the YAML of the above AppBinding,
$ kubectl get appbindings -n demo sample-mssqlserver -o yaml
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"kubedb.com/v1alpha2","kind":"MSSQLServer","metadata":{"annotations":{},"name":"sample-mssqlserver","namespace":"demo"},"spec":{"deletionPolicy":"WipeOut","replicas":1,"storage":{"accessModes":["ReadWriteOnce"],"resources":{"requests":{"storage":"1Gi"}}},"storageType":"Durable","tls":{"clientTLS":false,"issuerRef":{"apiGroup":"cert-manager.io","kind":"Issuer","name":"mssqlserver-ca-issuer"}},"version":"2022-cu12"}}
creationTimestamp: "2024-09-20T09:09:38Z"
generation: 1
labels:
app.kubernetes.io/component: database
app.kubernetes.io/instance: sample-mssqlserver
app.kubernetes.io/managed-by: kubedb.com
app.kubernetes.io/name: mssqlservers.kubedb.com
name: sample-mssqlserver
namespace: demo
ownerReferences:
- apiVersion: kubedb.com/v1alpha2
blockOwnerDeletion: true
controller: true
kind: MSSQLServer
name: sample-mssqlserver
uid: 212fef79-23fb-4f3a-aea9-564ce1362174
resourceVersion: "277078"
uid: 01955aa0-f68e-410c-b952-c8516ea24922
spec:
appRef:
apiGroup: kubedb.com
kind: MSSQLServer
name: sample-mssqlserver
namespace: demo
clientConfig:
service:
name: sample-mssqlserver
path: /
port: 1433
scheme: tcp
url: tcp(sample-mssqlserver.demo.svc:1433)/
secret:
name: sample-mssqlserver-auth
type: kubedb.com/mssqlserver
version: "2022"
KubeStash uses the AppBinding CR to connect with the target database. It requires the following two fields to set in AppBinding’s .spec section.
Here,
.spec.clientConfig.service.namespecifies the name of the Service that connects to the database..spec.secretspecifies the name of the Secret that holds necessary credentials to access the database..spec.typespecifies the types of the app that this AppBinding is pointing to. KubeDB generated AppBinding follows the following format:<app group>/<app resource type>.
Insert Sample Data:
Now, we are going to exec into one of the database pod and create some sample data. At first, find out the database Pod using the following command,
$ kubectl get pods -n demo --selector="app.kubernetes.io/instance=sample-mssqlserver"
NAME READY STATUS RESTARTS AGE
sample-mssqlserver-0 1/1 Running 0 4m44s
And copy the username and password of the sa user to access into mssqlserver shell.
$ kubectl get secret -n demo sample-mssqlserver-auth -o jsonpath='{.data.username}'| base64 -d
sa⏎
$ kubectl get secret -n demo sample-mssqlserver-auth -o jsonpath='{.data.password}'| base64 -d
kkvAFfl8sIxRO2i3⏎
Now, Lets exec into the Pod to enter into mssqlserver shell and create a database and a table,
$ kubectl exec -it -n demo sample-mssqlserver-0 -c mssql -- /opt/mssql-tools/bin/sqlcmd -S sample-mssqlserver -U sa -P "kkvAFfl8sIxRO2i3"
# list available databases
1> SELECT name from sys.databases;
2> GO
name
--------------------------------------------------------------------------------------------------------------------------------
master
tempdb
model
msdb
kubedb_system
(5 rows affected)
# create a database named "playground"
1> CREATE DATABASE playground;
2> GO
# verify that the "playground" database has been created
1> SELECT name from sys.databases;
2> GO
name
--------------------------------------------------------------------------------------------------------------------------------
master
tempdb
model
msdb
kubedb_system
playground
(6 rows affected)
# Now create a 'equipment' table and insert multiple rows of data
1> USE playground;
2> CREATE TABLE equipment (id INT NOT NULL IDENTITY(1,1) PRIMARY KEY, type NVARCHAR(50), quant INT, color NVARCHAR(25));
3> INSERT INTO equipment (type, quant, color) VALUES ('Swing', 10, 'Red'), ('Slide', 5, 'Blue'), ('Monkey Bars', 3, 'Yellow');
4> GO
Changed database context to 'playground'.
(3 rows affected)
# Verify that data hase been inserted successfully
1> SELECT * FROM equipment;
2> GO
id type quant color
----------- -------------------------------------------------- ----------- -------------------------
1 Swing 10 Red
2 Slide 5 Blue
3 Monkey Bars 3 Yellow
(3 rows affected)
# exit from the pod
1> exit
Now, we are ready to backup the database.
Prepare Backend
We are going to store our backed up data into a GCS bucket. We have to create a Secret with necessary credentials and a BackupStorage CR to use this backend. If you want to use a different backend, please read the respective backend configuration doc from here.
Create Secret:
Let’s create a secret called gcs-secret with access credentials to our desired GCS bucket,
$ echo -n '<your-project-id>' > GOOGLE_PROJECT_ID
$ cat /path/to/downloaded-sa-key.json > GOOGLE_SERVICE_ACCOUNT_JSON_KEY
$ kubectl create secret generic -n demo gcs-secret \
--from-file=./GOOGLE_PROJECT_ID \
--from-file=./GOOGLE_SERVICE_ACCOUNT_JSON_KEY
secret/gcs-secret created
Create BackupStorage:
Now, create a BackupStorage using this secret. Below is the YAML of BackupStorage CR we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: BackupStorage
metadata:
name: gcs-storage
namespace: demo
spec:
storage:
provider: gcs
gcs:
bucket: kubestash-qa
prefix: demo
secretName: gcs-secret
usagePolicy:
allowedNamespaces:
from: All
default: true
deletionPolicy: Delete
Let’s create the BackupStorage we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/backupstorage.yaml
backupstorage.storage.kubestash.com/gcs-storage created
Now, we are ready to backup our database to our desired backend.
Create RetentionPolicy:
Now, let’s create a RetentionPolicy to specify how the old Snapshots should be cleaned up.
Below is the YAML of the RetentionPolicy object that we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: RetentionPolicy
metadata:
name: demo-retention
namespace: demo
spec:
default: true
failedSnapshots:
last: 2
maxRetentionPeriod: 2mo
successfulSnapshots:
last: 5
usagePolicy:
allowedNamespaces:
from: All
Let’s create the above RetentionPolicy,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/retentionpolicy.yaml
retentionpolicy.storage.kubestash.com/demo-retention created
Backup
We have to create a BackupConfiguration targeting respective sample-mssqlserver Microsoft SQL Server database. Then, KubeStash will create a CronJob for each session to take periodic backup of that database.
Below is the YAML for BackupConfiguration CR to backup the sample-mssqlserver Microsoft SQL Server database that we have deployed earlier,
apiVersion: core.kubestash.com/v1alpha1
kind: BackupConfiguration
metadata:
name: sample-mssqlserver-backup
namespace: demo
spec:
target:
apiGroup: kubedb.com
kind: MSSQLServer
namespace: demo
name: sample-mssqlserver
backends:
- name: gcs-backend
storageRef:
namespace: demo
name: gcs-storage
retentionPolicy:
name: demo-retention
namespace: demo
sessions:
- name: frequent-backup
scheduler:
schedule: "*/5 * * * *"
jobTemplate:
backoffLimit: 1
repositories:
- name: gcs-mssqlserver-repo
backend: gcs-backend
directory: /mssqlserver
addon:
name: mssqlserver-addon
jobTemplate:
spec:
securityContext:
runAsUser: 0
tasks:
- name: logical-backup
.spec.sessions[*].schedulespecifies that we want to backup the database at5 minutesinterval..spec.targetrefers to the targetedsample-mssqlserverMicrosoft SQL Server database that we created earlier.
KubeStash utilizes Wal-G to perform logical backups of
Microsoft SQL Serverdatabases. Since Wal-G operates withrootuser privileges, it’s necessary to configure our backup job to run as arootuser by specifyingrunAsUser: 0in thespec.sessions[*].addon.jobTemplate.spec.securityContextsection.
Let’s create the BackupConfiguration CR that we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/logical/examples/backupconfiguration.yaml
backupconfiguration.core.kubestash.com/sample-mssqlserver-backup created
Verify Backup Setup Successful
If everything goes well, the phase of the BackupConfiguration should be Ready. The Ready phase indicates that the backup setup is successful. Let’s verify the Phase of the BackupConfiguration,
$ kubectl get backupconfiguration -n demo
NAME PHASE PAUSED AGE
sample-mssqlserver-backup Ready 2m50s
Additionally, we can verify that the Repository specified in the BackupConfiguration has been created using the following command,
$ kubectl get repo -n demo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
gcs-mssqlserver-repo 0 0 B Ready 3m
KubeStash keeps the backup for Repository YAMLs. If we navigate to the GCS bucket, we will see the Repository YAML stored in the demo/mssqlserver directory.
Verify CronJob:
It will also create a CronJob with the schedule specified in spec.sessions[*].scheduler.schedule field of BackupConfiguration CR.
Verify that the CronJob has been created using the following command,
$ kubectl get cronjob -n demo
NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE
trigger-sample-mssqlserver-backup-frequent-backup */5 * * * * False 0 4m52s 15m
Verify BackupSession:
KubeStash triggers an instant backup as soon as the BackupConfiguration is ready. After that, backups are scheduled according to the specified schedule.
$ kubectl get backupsession -n demo -w
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
sample-mssqlserver-backup-frequent-backup-1725449400 BackupConfiguration sample-mssqlserver-backup Succeeded 7m22s
We can see from the above output that the backup session has succeeded. Now, we are going to verify whether the backed up data has been stored in the backend.
Verify Backup:
Once a backup is complete, KubeStash will update the respective Repository CR to reflect the backup. Check that the repository gcs-mssqlserver-repo has been updated by the following command,
$ kubectl get repository -n demo gcs-mssqlserver-repo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
gcs-mssqlserver-repo true 1 806 B Ready 8m27s 9m18s
At this moment we have one Snapshot. Run the following command to check the respective Snapshot which represents the state of a backup run for an application.
$ kubectl get snapshots -n demo -l=kubestash.com/repo-name=gcs-mssqlserver-repo
NAME REPOSITORY SESSION SNAPSHOT-TIME DELETION-POLICY PHASE AGE
gcs-mssqlserver-repo-sample-mssqckup-frequent-backup-1725449400 gcs-mssqlserver-repo frequent-backup 2024-01-23T13:10:54Z Delete Succeeded 16h
Note: KubeStash creates a
Snapshotwith the following labels:
kubestash.com/app-ref-kind: <target-kind>kubestash.com/app-ref-name: <target-name>kubestash.com/app-ref-namespace: <target-namespace>kubestash.com/repo-name: <repository-name>These labels can be used to watch only the
Snapshots related to our target Database orRepository.
If we check the YAML of the Snapshot, we can find the information about the backed up components of the Database.
$ kubectl get snapshots -n demo gcs-mssqlserver-repo-sample-mssqckup-frequent-backup-1725449400 -oyaml
apiVersion: storage.kubestash.com/v1alpha1
kind: Snapshot
metadata:
annotations:
kubedb.com/db-version: "2022"
creationTimestamp: "2024-09-20T11:25:00Z"
finalizers:
- kubestash.com/cleanup
generation: 1
labels:
kubestash.com/app-ref-kind: MSSQLServer
kubestash.com/app-ref-name: sample-mssqlserver
kubestash.com/app-ref-namespace: demo
kubestash.com/repo-name: gcs-mssqlserver-repo
name: gcs-mssqlserver-repo-sample-mssqckup-frequent-backup-1725449400
namespace: demo
ownerReferences:
- apiVersion: storage.kubestash.com/v1alpha1
blockOwnerDeletion: true
controller: true
kind: Repository
name: gcs-mssqlserver-repo
uid: 5774142d-a81d-44d6-9459-20c16a0d7ade
resourceVersion: "293781"
uid: b84c608c-8da8-444a-8db4-1632d04736e3
spec:
appRef:
apiGroup: kubedb.com
kind: MSSQLServer
name: sample-mssqlserver
namespace: demo
backupSession: sample-mssqlserver-backup-frequent-backup-1725449400
deletionPolicy: Delete
repository: gcs-mssqlserver-repo
session: frequent-backup
snapshotID: 01J87JV7HTH2FW71RBCTM56QWQ
type: FullBackup
version: v1
status:
components:
dump:
driver: WalG
duration: 19.996377s
path: repository/v1/frequent-backup/dump
phase: Succeeded
walGStats:
databases:
- playground
id: base_20240920T112503Z
startTime: "2024-09-20T11:25:03Z"
stopTime: "2024-09-20T11:25:23Z"
conditions:
- lastTransitionTime: "2024-09-20T11:25:00Z"
message: Recent snapshot list updated successfully
reason: SuccessfullyUpdatedRecentSnapshotList
status: "True"
type: RecentSnapshotListUpdated
- lastTransitionTime: "2024-09-20T11:25:26Z"
message: Metadata uploaded to backend successfully
reason: SuccessfullyUploadedSnapshotMetadata
status: "True"
type: SnapshotMetadataUploaded
phase: Succeeded
snapshotTime: "2024-09-20T11:25:00Z"
totalComponents: 1
Now, if we navigate to the GCS bucket, we will see the backed up data stored in the demo/mssqlserver/repository/v1/frequent-backup/dump/basebackups_005 directory. KubeStash also keeps the backup for Snapshot YAMLs, which can be found in the demo/mssqlserver/snapshots directory.
Restore
In this section, we are going to restore the database from the backup we have taken in the previous section. We are going to deploy a new database and initialize it from the backup.
Now, we have to deploy the restored database similarly as we have deployed the original sample-mssqlserver database. However, this time there will be the following differences:
- We are going to specify
.spec.init.waitForInitialRestorefield that tells KubeDB to wait for first restore to complete before marking this database is ready to use.
Below is the YAML for MSSQLServer CR we are going deploy to initialize from backup,
apiVersion: kubedb.com/v1alpha2
kind: MSSQLServer
metadata:
name: restored-mssqlserver
namespace: demo
spec:
init:
waitForInitialRestore: true
version: "2022-cu12"
replicas: 1
storageType: Durable
tls:
issuerRef:
name: mssqlserver-ca-issuer
kind: Issuer
apiGroup: "cert-manager.io"
clientTLS: false
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
deletionPolicy: WipeOut
Let’s create the above database,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/restored-mssqlserver.yaml
mssqlserver.kubedb.com/restored-mssqlserver created
If you check the database status, you will see it is stuck in Provisioning state.
$ kubectl get mssqlserver -n demo restored-mssqlserver
NAME VERSION STATUS AGE
restored-mssqlserver 2022-cu12 Provisioning 7m37
Create RestoreSession:
Now, we need to create a RestoreSession CR pointing to targeted Microsoft SQL Server database.
Below, is the contents of YAML file of the RestoreSession object that we are going to create to restore backed up data into the newly created Microsoft SQL Server database named restored-mssqlserver.
apiVersion: core.kubestash.com/v1alpha1
kind: RestoreSession
metadata:
name: sample-mssqlserver-restore
namespace: demo
spec:
target:
apiGroup: kubedb.com
kind: MSSQLServer
namespace: demo
name: restored-mssqlserver
dataSource:
repository: gcs-mssqlserver-repo
snapshot: latest
addon:
name: mssqlserver-addon
jobTemplate:
spec:
securityContext:
runAsUser: 0
tasks:
- name: logical-backup-restore
Here,
.spec.targetrefers to the newly createdrestored-mssqlserverMicrosoft SQL Server object to where we want to restore backup data..spec.dataSource.repositoryspecifies the Repository object that holds the backed up data..spec.dataSource.snapshotspecifies to restore from latestSnapshot.
KubeStash utilizes Wal-G to perform logical restores of
Microsoft SQL Serverdatabases. Since Wal-G operates withrootuser privileges, it’s necessary to configure our restore job to run as arootuser by specifyingrunAsUser: 0in the.spe.addon.jobTemplate.spec.securityContextsection.
Let’s create the RestoreSession CRD object we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mssqlserver/backup/logical/examples/restoresession.yaml
restoresession.core.kubestash.com/sample-mssqlserver-restore created
Once, you have created the RestoreSession object, KubeStash will create restore Job. Run the following command to watch the phase of the RestoreSession object,
$ watch kubectl get restoresession -n demo
Every 2.0s: kubectl get restores... AppsCode-PC-03: Wed Aug 21 10:44:05 2024
NAME REPOSITORY FAILURE-POLICY PHASE DURATION AGE
sample-mssql-restore gcs-mssqlserver-repo Succeeded 12s 8m7s
The Succeeded phase means that the restore process has been completed successfully.
Verify Restored Data:
In this section, we are going to verify whether the desired data has been restored successfully. We are going to connect to the database server and check whether the database and the table we created earlier in the original database are restored.
At first, check if the database has gone into Ready state by the following command,
$ kubectl get mssqlserver -n demo restored-mssqlserver
NAME VERSION STATUS AGE
restored-mssqlserver 2022-cu12 Ready 13m
Now, find out the database Pod using the following command,
$ kubectl get pods -n demo --selector="app.kubernetes.io/instance=restored-mssqlserver"
NAME READY STATUS RESTARTS AGE
restored-mssqlserver-0 1/1 Running 0 16m
And copy the username and password of the sa user to access into mssqlserver shell.
$ kubectl get secret -n demo restored-mssqlserver-auth -o jsonpath='{.data.username}'| base64 -d
sa⏎
$ kubectl get secret -n demo restored-mssqlserver-auth -o jsonpath='{.data.password}'| base64 -d
Ag9qi8zQiFew0xHo⏎
Now, Lets exec into the Pod to enter into mssqlserver shell and verify restored data,
$ kubectl exec -it -n demo restored-mssqlserver-0 -c mssql -- /opt/mssql-tools/bin/sqlcmd -S restored-mssqlserver -U sa -P "Ag9qi8zQiFew0xHo"
1> SELECT name from sys.databases;
2> GO
name
--------------------------------------------------------------------------------------------------------------------------------
master
tempdb
model
msdb
kubedb_system
playground
(6 rows affected)
1> USE playground;
2> SELECT name from sys.tables;
3> GO
Changed database context to 'playground'.
name
--------------------------------------------------------------------------------------------------------------------------------
equipment
(1 rows affected)
1> SELECT * FROM equipment;
2> GO
id type quant color
----------- -------------------------------------------------- ----------- -------------------------
1 Swing 10 Red
2 Slide 5 Blue
3 Monkey Bars 3 Yellow
(3 rows affected)
> exit
So, from the above output, we can see that the playground database and the equipment table we have created earlier in the original database and now, they are restored successfully.
Cleanup
To cleanup the Kubernetes resources created by this tutorial, run:
kubectl delete backupconfigurations.core.kubestash.com -n demo sample-mssqlserver-backup
kubectl delete restoresessions.core.kubestash.com -n demo sample-mssqlserver-restore
kubectl delete retentionpolicies.storage.kubestash.com -n demo demo-retention
kubectl delete backupstorage -n demo gcs-storage
kubectl delete secret -n demo gcs-secret
kubectl delete secrets -n demo mssqlserver-ca
kubectl delete mssqlserver -n demo restored-mssqlserver
kubectl delete mssqlserver -n demo sample-mssqlserver
kubectl delete issuer -n demo mssqlserver-ca-issuer