You are looking at the documentation of a prior release. To read the documentation of the latest release, please visit here.

This is an Enterprise-only feature. Please install Stash Enterprise Edition to try this feature.

Backup and Restore MongoDB Sharded Clusters using Stash

Stash 0.9.0+ supports taking backup and restores MongoDB Sharded clusters in “idiomatic” way. This guide will show you how you can backup and restore your MongoDB Sharded clusters 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 Stash Enterprise in your cluster following the steps here.
Install KubeDB in your cluster following the steps here. This step is optional. You can deploy your database using any method you want. We are using KubeDB because KubeDB simplifies many of the difficult or tedious management tasks of running a production grade databases on private and public clouds.
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

Note: YAML files used in this tutorial are stored here.

Backup Sharded MongoDB Cluster

This section will demonstrate how to backup MongoDB cluster. We are going to use KubeDB to deploy a sample database. 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 cluster.

Deploy Sample MongoDB Sharding

Let’s deploy a sample MongoDB Sharding 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-mgo-sh
  namespace: demo
spec:
  version: 4.2.3
  shardTopology:
    configServer:
      replicas: 3
      storage:
        resources:
          requests:
            storage: 1Gi
        storageClassName: standard
    mongos:
      replicas: 2
    shard:
      replicas: 3
      shards: 3
      storage:
        resources:
          requests:
            storage: 1Gi
        storageClassName: standard
  terminationPolicy: WipeOut

Create the above MongoDB crd,

$ kubectl apply -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/mongodb-sharding.yaml
mongodb.kubedb.com/sample-mgo-sh 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-mgo-sh
NAME            VERSION       STATUS    AGE
sample-mgo-sh   4.2.3         Ready     35m

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-mgo-sh
NAME                 TYPE     DATA   AGE
sample-mgo-sh-auth   Opaque   2      36m
sample-mgo-sh-cert   Opaque   4      36m

$ kubectl get service -n demo -l=app.kubernetes.io/instance=sample-mgo-sh
NAME                          TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)     AGE
sample-mgo-sh                 ClusterIP   10.107.11.117   <none>        27017/TCP   36m
sample-mgo-sh-configsvr-gvr   ClusterIP   None            <none>        27017/TCP   36m
sample-mgo-sh-shard0-gvr      ClusterIP   None            <none>        27017/TCP   36m
sample-mgo-sh-shard1-gvr      ClusterIP   None            <none>        27017/TCP   36m
sample-mgo-sh-shard2-gvr      ClusterIP   None            <none>        27017/TCP   36m

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-mgo-sh   30m

Let’s check the YAML of the above AppBinding,

$ kubectl get appbindings -n demo sample-mgo-sh -o yaml

apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
  labels:
    app.kubernetes.io/component: database
    app.kubernetes.io/managed-by: kubedb.com
    app.kubernetes.io/name: mongodbs.kubedb.com
    app.kubernetes.io/instance: sample-mgo-sh
  name: sample-mgo-sh
  namespace: demo
spec:
  clientConfig:
    service:
      name: sample-mgo-sh
      port: 27017
      scheme: mongodb
  parameters:
    apiVersion: config.kubedb.com/v1alpha1
    kind: MongoConfiguration
    configServer: cnfRepSet/sample-mgo-sh-configsvr-0.sample-mgo-sh-configsvr-gvr.demo.svc:27017,sample-mgo-sh-configsvr-1.sample-mgo-sh-configsvr-gvr.demo.svc:27017,sample-mgo-sh-configsvr-2.sample-mgo-sh-configsvr-gvr.demo.svc:27017
    replicaSets:
      host-0: shard0/sample-mgo-sh-shard0-0.sample-mgo-sh-shard0-gvr.demo.svc:27017,sample-mgo-sh-shard0-1.sample-mgo-sh-shard0-gvr.demo.svc:27017,sample-mgo-sh-shard0-2.sample-mgo-sh-shard0-gvr.demo.svc:27017
      host-1: shard1/sample-mgo-sh-shard1-0.sample-mgo-sh-shard1-gvr.demo.svc:27017,sample-mgo-sh-shard1-1.sample-mgo-sh-shard1-gvr.demo.svc:27017,sample-mgo-sh-shard1-2.sample-mgo-sh-shard1-gvr.demo.svc:27017
      host-2: shard2/sample-mgo-sh-shard2-0.sample-mgo-sh-shard2-gvr.demo.svc:27017,sample-mgo-sh-shard2-1.sample-mgo-sh-shard2-gvr.demo.svc:27017,sample-mgo-sh-shard2-2.sample-mgo-sh-shard2-gvr.demo.svc:27017
  secret:
    name: sample-mgo-sh-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.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.configServer specifies the dsn of config server of mongodb sharding. The dsn includes the port no too.
spec.parameters.replicaSets contains the dsn of each replicaset of sharding. The DSNs are in key-value pair, where the keys are host-0, host-1 etc, and the values are DSN of each replicaset. If there is no sharding but only one replicaset, then ReplicaSets field contains only one key-value pair where the key is host-0 and the value is dsn of that replicaset.
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>.

Creating AppBinding Manually:

If you deploy MongoDB database without KubeDB, you have to create the AppBinding crd manually in the same namespace as the service and secret of the database.

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="mongodb.kubedb.com/node.mongos=sample-mgo-sh-mongos"
NAME                                   READY   STATUS    RESTARTS   AGE
sample-mgo-sh-mongos-9459cfc44-4jthd   1/1     Running   0          60m
sample-mgo-sh-mongos-9459cfc44-6d2st   1/1     Running   0          60m

Now, let’s exec into the pod and create a table,

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\username}' | base64 -d
root

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\password}' | base64 -d
JJPcMxNKJev0SzgX

$ kubectl exec -it -n demo sample-mgo-sh-mongos-9459cfc44-4jthd bash

mongodb@sample-mgo-sh-0:/$ mongo admin -u root -p JJPcMxNKJev0SzgX

mongos> show dbs
admin   0.000GB
config  0.001GB


mongos> show users
{
	"_id" : "admin.root",
	"userId" : UUID("b9a1551b-83cf-4ebb-852b-dd23c890f301"),
	"user" : "root",
	"db" : "admin",
	"roles" : [
		{
			"role" : "root",
			"db" : "admin"
		}
	]
}

mongos> use newdb
switched to db newdb

mongos> db.movie.insert({"name":"batman"});
WriteResult({ "nInserted" : 1 })

mongos> db.movie.find().pretty()
{ "_id" : ObjectId("5d3064bf144a1b8fda04cd4f"), "name" : "batman" }

mongos> 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, create 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-sharding
  namespace: demo
spec:
  backend:
    gcs:
      bucket: appscode-qa
      prefix: demo/mongodb/sample-mgo-sh
    storageSecretName: gcs-secret

Let’s create the Repository we have shown above,

$ kubectl apply -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/repository-sharding.yaml
repository.stash.appscode.com/gcs-repo-sharding created

Now, we are ready to backup our database to our desired backend.

Backup MongoDB Sharding

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-mgo-sh database we have deployed earlier.,

apiVersion: stash.appscode.com/v1beta1
kind: BackupConfiguration
metadata:
  name: sample-mgo-sh-backup
  namespace: demo
spec:
  schedule: "*/5 * * * *"
  task:
    name: mongodb-backup-4.2.3
  repository:
    name: gcs-repo-sharding
  target:
    ref:
      apiVersion: appcatalog.appscode.com/v1alpha1
      kind: AppBinding
      name: sample-mgo-sh
  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.task.name specifies the name of the task crd that specifies the necessary Function and their execution order to backup a MongoDB database.
spec.target.ref refers to the AppBinding crd that was created for sample-mgo-sh database.

Let’s create the BackupConfiguration crd we have shown above,

$ kubectl apply -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/backupconfiguration-sharding.yaml
backupconfiguration.stash.appscode.com/sample-mgo-sh-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-mgo-sh-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-mgo-sh-backup   */5 * * * *   False     0        <none>          13s

Wait for BackupSession:

The sample-mgo-sh-backup CronJob will trigger a backup on each schedule by creating a BackupSession 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-mgo-sh-backup-1563512707   BackupConfiguration   sample-mgo-sh-backup   Running     5m19s
sample-mgo-sh-backup-1563512707   BackupConfiguration   sample-mgo-sh-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-sharding has been updated by the following command,

$ kubectl get repository -n demo gcs-repo-sharding
NAME                INTEGRITY   SIZE         SNAPSHOT-COUNT   LAST-SUCCESSFUL-BACKUP   AGE
gcs-repo-sharding   true        66.453 KiB   12               1m                       20m

Now, if we navigate to the GCS bucket, we are going to see backed up data has been stored in demo/mongodb/sample-mgo-sh 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 Sharding

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 sharded database and initialize it from the backup.

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-mgo-sh database. Then, Stash will stop taking any further backup for this database.

Let’s pause the sample-mgo-sh-backup BackupConfiguration,

$ kubectl patch backupconfiguration -n demo sample-mgo-sh-backup --type="merge" --patch='{"spec": {"paused": true}}'
backupconfiguration.stash.appscode.com/sample-mgo-sh-backup patched

Now, wait for a moment. Stash will pause the BackupConfiguration. Verify that the BackupConfiguration has been paused,

$ kubectl get backupconfiguration -n demo sample-mgo-sh-backup
NAME                  TASK                        SCHEDULE      PAUSED   PHASE   AGE
sample-mgo-sh-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.

Deploy Restored Database:

Now, we have to deploy the restored database similarly as we have deployed the original sample-mgo-sh database. However, this time there will be the following differences:

We are going to specify spec.init.waitForInitialRestore: true which will tell KubeDB to wait until the first restore to complete before marking this database as ready to use.

Below is the YAML for MongoDB crd we are going deploy to initialize from backup,

apiVersion: kubedb.com/v1alpha2
kind: MongoDB
metadata:
  name: restored-mgo-sh
  namespace: demo
spec:
  authSecret:
    name: sample-mgo-sh-auth
  version: 4.2.3
  shardTopology:
    configServer:
      replicas: 3
      storage:
        resources:
          requests:
            storage: 1Gi
        storageClassName: standard
    mongos:
      replicas: 2
    shard:
      replicas: 3
      shards: 3
      storage:
        resources:
          requests:
            storage: 1Gi
        storageClassName: standard
  init:
    waitForInitialRestore: true
  terminationPolicy: WipeOut

Let’s create the above database,

$ kubectl apply -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/restored-mongodb-sharding.yaml
mongodb.kubedb.com/restored-mgo-sh created

If you check the database status, you will see it is stuck in Provisioning state.

$ kubectl get mg -n demo restored-mgo-sh
NAME              VERSION       STATUS         AGE
restored-mgo-sh   4.2.3         Provisioning   48m

Create RestoreSession:

Now, we need to create a RestoreSession crd pointing to the AppBinding for this restored database.

Check AppBinding has been created for the restored-mgo-sh database using the following command,

$ kubectl get appbindings -n demo restored-mgo-sh
NAME               AGE
restored-mgo-sh    29s

NB. The appbinding restored-mgo-sh also contains spec.parametrs field. the number of hosts in spec.parameters.replicaSets needs to be similar to the old appbinding. Otherwise, the sharding recover may not be accurate.

If you are not using KubeDB to deploy database, create the AppBinding manually.

Below is the YAML for the RestoreSession crd that we are going to create to restore backed up data into restored-mgo-sh database.

apiVersion: stash.appscode.com/v1beta1
kind: RestoreSession
metadata:
  name: sample-mgo-sh-restore
  namespace: demo
spec:
  task:
    name: mongodb-restore-4.2.3
  repository:
    name: gcs-repo-sharding
  target:
    ref:
      apiVersion: appcatalog.appscode.com/v1alpha1
      kind: AppBinding
      name: restored-mgo-sh
  rules:
  - snapshots: [latest]

Here,

spec.task.name specifies the name of the Task crd that specifies the Functions and their execution order to restore a MongoDB database.
spec.repository.name specifies the Repository crd that holds the backend information where our backed up data has been stored.
spec.target.ref refers to the AppBinding crd for the restored-mgo-sh 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/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/restoresession-sharding.yaml
restoresession.stash.appscode.com/sample-mgo-sh-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-mgo-sh-restore -w
NAME                    REPOSITORY-NAME      PHASE       AGE
sample-mgo-sh-restore   gcs-repo-sharding    Running     5s
sample-mgo-sh-restore   gcs-repo-sharding    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 mongos and check whether the table we had created in the original database is restored or not.

At first, check if the database has gone into Running state by the following command,

$ kubectl get mg -n demo restored-mgo-sh
NAME              VERSION        STATUS    AGE
restored-mgo-sh   4.2.3         Running   2h

Now, find out the mongos pod,

$ kubectl get pods -n demo --selector="mongodb.kubedb.com/node.mongos=restored-mgo-sh-mongos"
NAME                                      READY   STATUS    RESTARTS   AGE
restored-mgo-sh-mongos-7bccd5d684-2z5xs   1/1     Running   0          169m
restored-mgo-sh-mongos-7bccd5d684-vvdxb   1/1     Running   0          169m

Now, exec into the database pod and list available tables,

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\username}' | base64 -d
root

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\password}' | base64 -d
JJPcMxNKJev0SzgX

$ kubectl exec -it -n demo restored-mgo-sh-mongos-7bccd5d684-2z5xs bash

mongodb@restored-mgo-sh-0:/$ mongo admin -u root -p JJPcMxNKJev0SzgX

mongos> show dbs
admin   0.000GB
config  0.001GB
newdb   0.000GB


mongos> show users
{
	"_id" : "admin.root",
	"userId" : UUID("a57cb466-ec66-453b-b795-654169a0f035"),
	"user" : "root",
	"db" : "admin",
	"roles" : [
		{
			"role" : "root",
			"db" : "admin"
		}
	]
}

mongos> use newdb
switched to db newdb

mongos> db.movie.find().pretty()
{ "_id" : ObjectId("5d3064bf144a1b8fda04cd4f"), "name" : "batman" }

mongos> exit
bye

So, from the above output, we can see the database newdb that we had created in the original database sample-mgo-sh is restored in the restored database restored-mgo-sh.

Backup MongoDB Sharded Cluster and Restore into a Standalone database

It is possible to take backup of a MongoDB Sharded Cluster and restore it into a standalone database, but user need to create the appbinding for this process.

Backup a sharded cluster

Keep all the fields of appbinding that is explained earlier in this guide, except spec.parameter. Do not set spec.parameter.configServer and spec.parameter.replicaSet. By doing this, the job will use spec.clientConfig.service.name as host, which is mongos router DSN. So, the backup will treat this cluster as a standalone and will skip the idiomatic way of taking backups of a sharded cluster. Then follow the rest of the procedure as described above.

apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
  name: sample-mgo-sh-custom
  namespace: demo
spec:
  clientConfig:
    service:
      name: sample-mgo-sh
      port: 27017
      scheme: mongodb
  secret:
    name: sample-mgo-sh-auth
  type: kubedb.com/mongodb

---
apiVersion: stash.appscode.com/v1alpha1
kind: Repository
metadata:
  name: gcs-repo-custom
  namespace: demo
spec:
  backend:
    gcs:
      bucket: appscode-qa
      prefix: demo/mongodb/sample-mgo-sh/standalone
    storageSecretName: gcs-secret

---
apiVersion: stash.appscode.com/v1beta1
kind: BackupConfiguration
metadata:
  name: sample-mgo-sh-backup2
  namespace: demo
spec:
  schedule: "*/5 * * * *"
  task:
    name: mongodb-backup-4.2.3
  repository:
    name: gcs-repo-custom
  target:
    ref:
      apiVersion: appcatalog.appscode.com/v1alpha1
      kind: AppBinding
      name: sample-mgo-sh-custom
  retentionPolicy:
    name: keep-last-5
    keepLast: 5
    prune: true

$ kubectl create -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/standalone-backup.yaml
appbinding.appcatalog.appscode.com/sample-mgo-sh-custom created
repository.stash.appscode.com/gcs-repo-custom created
backupconfiguration.stash.appscode.com/sample-mgo-sh-backup2 created


$ kubectl get backupsession -n demo
NAME                              BACKUPCONFIGURATION    PHASE       AGE
sample-mgo-sh-backup-1563528902   sample-mgo-sh-backup   Succeeded   35s


$ kubectl get repository -n demo gcs-repo-custom
NAME              INTEGRITY   SIZE         SNAPSHOT-COUNT   LAST-SUCCESSFUL-BACKUP   AGE
gcs-repo-custom   true        22.160 KiB   4                1m                       2m

Restore to a standalone database

No additional configuration is needed to restore the sharded cluster to a standalone database. Follow the normal procedure of restoring a MongoDB Database.

Standalone MongoDB,

apiVersion: kubedb.com/v1alpha2
kind: MongoDB
metadata:
  name: restored-mongodb
  namespace: demo
spec:
  version: "4.2.3"
  storageType: Durable
  authSecret:
    name: sample-mgo-sh-auth
  storage:
    storageClassName: "standard"
    accessModes:
      - ReadWriteOnce
    resources:
      requests:
        storage: 1Gi
  init:
    waitForInitialRestore: true
  terminationPolicy: WipeOut

RestoreSession crd object,

apiVersion: stash.appscode.com/v1beta1
kind: RestoreSession
metadata:
  name: sample-mongodb-restore
  namespace: demo
spec:
  task:
    name: mongodb-restore-4.2.3
  repository:
    name: gcs-repo-custom
  target:
    ref:
      apiVersion: appcatalog.appscode.com/v1alpha1
      kind: AppBinding
      name: restored-mongodb
  rules:
  - snapshots: [latest]

$ kubectl create -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/restored-standalone.yaml
mongodb.kubedb.com/restored-mongodb created

$ kubectl get mg -n demo restored-mongodb
NAME               VERSION        STATUS         AGE
restored-mongodb   4.2.3         Provisioning   56s

$ kubectl create -f https://github.com/stashed/docs/raw/v2022.12.11/docs/addons/mongodb/sharding/examples/restoresession-standalone.yaml
restoresession.stash.appscode.com/sample-mongodb-restore created

$ kubectl get mg -n demo restored-mongodb
NAME               VERSION        STATUS         AGE
restored-mongodb   4.2.3          Running         56s

Now, exec into the database pod and list available tables,

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\username}' | base64 -d
root

$ kubectl get secrets -n demo sample-mgo-sh-auth -o jsonpath='{.data.\password}' | base64 -d
JJPcMxNKJev0SzgX

$ kubectl exec -it -n demo restored-mongodb-0 bash

mongodb@restored-mongodb-0:/$ mongo admin -u root -p JJPcMxNKJev0SzgX

> show dbs
admin   0.000GB
config  0.000GB
local   0.000GB
newdb   0.000GB

> show users
{
	"_id" : "admin.root",
	"userId" : UUID("98fa7511-2ae0-4466-bb2a-f9a7e17631ad"),
	"user" : "root",
	"db" : "admin",
	"roles" : [
		{
			"role" : "root",
			"db" : "admin"
		}
	]
}

> use newdb
switched to db newdb

> db.movie.find().pretty()
{ "_id" : ObjectId("5d3064bf144a1b8fda04cd4f"), "name" : "batman" }

> exit
bye

So, from the above output, we can see the database newdb that we had created in the original database sample-mgo-sh is restored in the restored database restored-mongodb.

Cleanup

To cleanup the Kubernetes resources created by this tutorial, run:

kubectl delete -n demo restoresession sample-mgo-sh-restore sample-mongodb-restore
kubectl delete -n demo backupconfiguration sample-mgo-sh-backup sample-mgo-sh-backup2
kubectl delete -n demo mg sample-mgo-sh sample-mgo-sh-ssl restored-mgo-sh restored-mgo-sh restored-mongodb
kubectl delete -n demo repository gcs-repo-sharding gcs-repo-custom

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