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Backup and Restore MongoDB database using Stash
Stash 0.9.0+ supports backup and restoration of MongoDB databases. This guide will show you how you can backup and restore your MongoDB database with Stash.
Before You Begin
- At first, you need to have a Kubernetes cluster, and the
kubectl
command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube. - Install KubeDB in your cluster following the steps here.
- Install Stash Enterprise in your cluster following the steps here.
- Install Stash
kubectl
plugin following the steps here. - If you are not familiar with how Stash backup and restore MongoDB databases, please check the following guide here.
You have to be familiar with following custom resources:
To keep things isolated, we are going to use a separate namespace called demo
throughout this tutorial. Create demo
namespace if you haven’t created yet.
$ kubectl create ns demo
namespace/demo created
Backup MongoDB
This section will demonstrate how to backup MongoDB database. Here, we are going to deploy a MongoDB database using KubeDB. Then, we are going to backup this database into a GCS bucket. Finally, we are going to restore the backed up data into another MongoDB database.
Deploy Sample MongoDB Database
Let’s deploy a sample MongoDB database and insert some data into it.
Create MongoDB CRD:
Below is the YAML of a sample MongoDB crd that we are going to create for this tutorial:
apiVersion: kubedb.com/v1alpha2
kind: MongoDB
metadata:
name: sample-mongodb
namespace: demo
spec:
version: "4.2.3"
storageType: Durable
storage:
storageClassName: "standard"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
terminationPolicy: WipeOut
Create the above MongoDB
crd,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.11.2/docs/guides/mongodb/backup/logical/standalone/examples/mongodb.yaml
mongodb.kubedb.com/sample-mongodb created
KubeDB will deploy a MongoDB 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 mg -n demo sample-mongodb
NAME VERSION STATUS AGE
sample-mongodb 4.2.3 Ready 2m9s
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 -l=app.kubernetes.io/instance=sample-mongodb
NAME TYPE DATA AGE
sample-mongodb-auth Opaque 2 2m28s
$ kubectl get service -n demo -l=app.kubernetes.io/instance=sample-mongodb
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
sample-mongodb ClusterIP 10.107.58.222 <none> 27017/TCP 2m48s
sample-mongodb-gvr ClusterIP None <none> 27017/TCP 2m48s
Here, we have to use service sample-mongodb
and secret sample-mongodb-auth
to connect with the database. KubeDB creates an AppBinding crd 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 AGE
sample-mongodb 20m
Let’s check the YAML of the above AppBinding
,
$ kubectl get appbindings -n demo sample-mongodb -o yaml
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"kubedb.com/v1alpha2","kind":"MongoDB","metadata":{"annotations":{},"name":"sample-mongodb","namespace":"demo"},"spec":{"storage":{"accessModes":["ReadWriteOnce"],"resources":{"requests":{"storage":"1Gi"}},"storageClassName":"standard"},"storageType":"Durable","terminationPolicy":"WipeOut","version":"4.2.3"}}
creationTimestamp: "2022-10-26T05:13:07Z"
generation: 1
labels:
app.kubernetes.io/component: database
app.kubernetes.io/instance: sample-mongodb
app.kubernetes.io/managed-by: kubedb.com
app.kubernetes.io/name: mongodbs.kubedb.com
name: sample-mongodb
namespace: demo
ownerReferences:
- apiVersion: kubedb.com/v1alpha2
blockOwnerDeletion: true
controller: true
kind: MongoDB
name: sample-mongodb
uid: 51676df9-682a-40ab-8f99-c6050b35f2f2
resourceVersion: "580968"
uid: ca88e369-a15a-4149-9386-24e876c5aa4b
spec:
appRef:
apiGroup: kubedb.com
kind: MongoDB
name: sample-mongodb
namespace: demo
clientConfig:
service:
name: sample-mongodb
port: 27017
scheme: mongodb
parameters:
apiVersion: config.kubedb.com/v1alpha1
kind: MongoConfiguration
stash:
addon:
backupTask:
name: mongodb-backup-4.2.3
restoreTask:
name: mongodb-restore-4.2.3
secret:
name: sample-mongodb-auth
type: kubedb.com/mongodb
version: 4.2.3
Stash uses the AppBinding
crd to connect with the target database. It requires the following two fields to set in AppBinding’s Spec
section.
spec.appRef
refers to the underlying application.spec.clientConfig
defines how to communicate with the application.spec.clientConfig.service.name
specifies the name of the service that connects to the database.spec.secret
specifies the name of the secret that holds necessary credentials to access the database.spec.parameters.stash
contains the Stash Addon information that will be used to backup/restore this MongoDB database.spec.type
specifies 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 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-mongodb"
NAME READY STATUS RESTARTS AGE
sample-mongodb-0 1/1 Running 0 12m
Now, let’s exec into the pod and create a table,
$ export USER=$(kubectl get secrets -n demo sample-mongodb-auth -o jsonpath='{.data.\username}' | base64 -d)
$ export PASSWORD=$(kubectl get secrets -n demo sample-mongodb-auth -o jsonpath='{.data.\password}' | base64 -d)
$ kubectl exec -it -n demo sample-mongodb-0 -- mongo admin -u $USER -p $PASSWORD
> show dbs
admin 0.000GB
local 0.000GB
mydb 0.000GB
> show users
{
"_id" : "admin.root",
"user" : "root",
"db" : "admin",
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
> use newdb
switched to db newdb
> db.movie.insert({"name":"batman"});
WriteResult({ "nInserted" : 1 })
> db.movie.find().pretty()
{ "_id" : ObjectId("5d19d1cdc93d828f44e37735"), "name" : "batman" }
> exit
bye
Now, we are ready to backup this sample database.
Prepare Backend
We are going to store our backed up data into a GCS bucket. At first, we need to create a secret with GCS credentials then we need to create a Repository
crd. If you want to use a different backend, please read the respective backend configuration doc from here.
Create Storage Secret:
Let’s create a secret called gcs-secret
with access credentials to our desired GCS bucket,
$ echo -n 'changeit' > RESTIC_PASSWORD
$ echo -n '<your-project-id>' > GOOGLE_PROJECT_ID
$ cat downloaded-sa-key.json > GOOGLE_SERVICE_ACCOUNT_JSON_KEY
$ kubectl create secret generic -n demo gcs-secret \
--from-file=./RESTIC_PASSWORD \
--from-file=./GOOGLE_PROJECT_ID \
--from-file=./GOOGLE_SERVICE_ACCOUNT_JSON_KEY
secret/gcs-secret created
Create Repository:
Now, crete a Repository
using this secret. Below is the YAML of Repository crd we are going to create,
apiVersion: stash.appscode.com/v1alpha1
kind: Repository
metadata:
name: gcs-repo
namespace: demo
spec:
backend:
gcs:
bucket: stash-testing
prefix: demo/mongodb/sample-mongodb
storageSecretName: gcs-secret
Let’s create the Repository
we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.11.2/docs/guides/mongodb/backup/logical/standalone/examples/repository.yaml
repository.stash.appscode.com/gcs-repo created
Now, we are ready to backup our database to our desired backend.
Backup
We have to create a BackupConfiguration
targeting respective AppBinding crd of our desired database. Then Stash will create a CronJob to periodically backup the database.
Create BackupConfiguration:
Below is the YAML for BackupConfiguration
crd to backup the sample-mongodb
database we have deployed earlier.,
apiVersion: stash.appscode.com/v1beta1
kind: BackupConfiguration
metadata:
name: sample-mongodb-backup
namespace: demo
spec:
schedule: "*/5 * * * *"
repository:
name: gcs-repo
target:
ref:
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
name: sample-mongodb
retentionPolicy:
name: keep-last-5
keepLast: 5
prune: true
Here,
spec.schedule
specifies that we want to backup the database at 5 minutes interval.spec.target.ref
refers to theAppBinding
crd that was created forsample-mongodb
database.
Let’s create the BackupConfiguration
crd we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.11.2/docs/guides/mongodb/backup/logical/standalone/examples/backupconfiguration.yaml
backupconfiguration.stash.appscode.com/sample-mongodb-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 TASK SCHEDULE PAUSED PHASE AGE
sample-mongodb-backup mongodb-backup-4.2.3 */5 * * * * Ready 11s
Verify CronJob:
Stash will create a CronJob with the schedule specified in spec.schedule
field of BackupConfiguration
crd.
Verify that the CronJob has been created using the following command,
$ kubectl get cronjob -n demo
NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE
sample-mongodb-backup */5 * * * * False 0 <none> 61s
Wait for BackupSession:
The sample-mongodb-backup
CronJob will trigger a backup on each schedule by creating a BackpSession
crd.
Wait for the next schedule. Run the following command to watch BackupSession
crd,
$ kubectl get backupsession -n demo -w
NAME INVOKER-TYPE INVOKER-NAME PHASE AGE
sample-mongodb-backup-1561974001 BackupConfiguration sample-mongodb-backup Running 5m19s
sample-mongodb-backup-1561974001 BackupConfiguration sample-mongodb-backup Succeeded 5m45s
We can see above that the backup session has succeeded. Now, we are going to verify that the backed up data has been stored in the backend.
Verify Backup:
Once a backup is complete, Stash will update the respective Repository
crd to reflect the backup. Check that the repository gcs-repo
has been updated by the following command,
$ kubectl get repository -n demo gcs-repo
NAME INTEGRITY SIZE SNAPSHOT-COUNT LAST-SUCCESSFUL-BACKUP AGE
gcs-repo true 1.611 KiB 1 33s 33m
Now, if we navigate to the GCS bucket, we are going to see backed up data has been stored in demo/mongodb/sample-mongodb
directory as specified by spec.backend.gcs.prefix
field of Repository crd.
Note: Stash keeps all the backed up data encrypted. So, data in the backend will not make any sense until they are decrypted.
Restore MongoDB
You can restore your data into the same database you have backed up from or into a different database in the same cluster or a different cluster. In this section, we are going to show you how to restore in the same database which may be necessary when you have accidentally deleted any data from the running database.
Stop Taking Backup of the Old Database:
At first, let’s stop taking any further backup of the old database so that no backup is taken during restore process. We are going to pause the BackupConfiguration
crd that we had created to backup the sample-mongodb
database. Then, Stash will stop taking any further backup for this database.
Let’s pause the sample-mongodb-backup
BackupConfiguration,
$ kubectl patch backupconfiguration -n demo sample-mongodb-backup --type="merge" --patch='{"spec": {"paused": true}}'
backupconfiguration.stash.appscode.com/sample-mongodb-backup patched
Or you can use the Stash kubectl
plugin to pause the BackupConfiguration
,
$ kubectl stash pause backup -n demo --backupconfig=sample-mongodb-backup
BackupConfiguration demo/sample-mongodb-backup has been paused successfully.
Now, wait for a moment. Stash will pause the BackupConfiguration. Verify that the BackupConfiguration has been paused,
$ kubectl get backupconfiguration -n demo sample-mongodb-backup
NAME TASK SCHEDULE PAUSED PHASE AGE
sample-mongodb-backup mongodb-backup-4.2.3 */5 * * * * true Ready 26m
Notice the PAUSED
column. Value true
for this field means that the BackupConfiguration has been paused.
Simulate Disaster:
Now, let’s simulate an accidental deletion scenario. Here, we are going to exec into the database pod and delete the newdb
database we had created earlier.
$ kubectl exec -it -n demo sample-mongodb-0 -- mongo admin -u $USER -p $PASSWORD
> use newdb
switched to db newdb
> db.dropDatabase()
{ "dropped" : "newdb", "ok" : 1 }
> show dbs
admin 0.000GB
config 0.000GB
local 0.000GB
> exit
bye
Create RestoreSession:
Now, we need to create a RestoreSession
crd pointing to the AppBinding of sample-mongodb
database.
Below is the YAML for the RestoreSession
crd that we are going to create to restore the backed up data.
apiVersion: stash.appscode.com/v1beta1
kind: RestoreSession
metadata:
name: sample-mongodb-restore
namespace: demo
spec:
repository:
name: gcs-repo
target:
ref:
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
name: sample-mongodb
rules:
- snapshots: [latest]
Here,
spec.repository.name
specifies theRepository
crd that holds the backend information where our backed up data has been stored.spec.target.ref
refers to the AppBinding crd for therestored-mongodb
database.spec.rules
specifies that we are restoring from the latest backup snapshot of the database.
Let’s create the RestoreSession
crd we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.11.2/docs/guides/mongodb/backup/logical/standalone/examples/restoresession.yaml
restoresession.stash.appscode.com/sample-mongodb-restore created
Once, you have created the RestoreSession
crd, Stash will create a job to restore. We can watch the RestoreSession
phase to check if the restore process is succeeded or not.
Run the following command to watch RestoreSession
phase,
$ kubectl get restoresession -n demo sample-mongodb-restore -w
NAME REPOSITORY-NAME PHASE AGE
sample-mongodb-restore gcs-repo Running 5s
sample-mongodb-restore gcs-repo Succeeded 43s
So, we can see from the output of the above command that the restore process succeeded.
Verify Restored Data:
In this section, we are going to verify that the desired data has been restored successfully. We are going to connect to the database and check whether the table we had created earlier is restored or not.
Lets, exec into the database pod and list available tables,
$ kubectl exec -it -n demo sample-mongodb-0 -- mongo admin -u $USER -p $PASSWORD
> show dbs
admin 0.000GB
config 0.000GB
local 0.000GB
newdb 0.000GB
> show users
{
"_id" : "admin.root",
"user" : "root",
"db" : "admin",
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
> use newdb
switched to db newdb
> db.movie.find().pretty()
{ "_id" : ObjectId("5d19d1cdc93d828f44e37735"), "name" : "batman" }
> exit
bye
So, from the above output, we can see the database newdb
that we had created earlier is restored.
Cleanup
To cleanup the Kubernetes resources created by this tutorial, run:
kubectl delete -n demo restoresession sample-mongodb-restore sample-mongo
kubectl delete -n demo backupconfiguration sample-mongodb-backup
kubectl delete -n demo mg sample-mongodb
kubectl delete -n demo repository gcs-repo