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KubeDB MariaDB - Continuous Archiving and Point-in-time Recovery
Here, will show you how to use KubeDB to provision a MariaDB to Archive continuously and Restore point-in-time.
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. For this demonstration, I’m using linode cluster.
Now,install KubeDB operator in your cluster following the steps here.
To install KubeStash operator in your cluster following the steps here.
To install External-snapshotter in your cluster following the steps here.
To keep things isolated, this tutorial uses a separate namespace called demo throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Note: The yaml files used in this tutorial are stored in docs/guides/mariadb/pitr/nfs/yamls folder in GitHub repository kubedb/docs.
continuous archiving
Continuous archiving involves making regular copies (or “archives”) of the MariaDB transaction log files.To ensure continuous archiving to a nfs we need prepare NFS Server BackupStorage,RetentionPolicy,MariaDBArchiver for the KubeDB Managed MariaDB Databases.
Ensure volumeSnapshotClass
$ kubectl get volumesnapshotclasses
NAME DRIVER DELETIONPOLICY AGE
longhorn-snapshot-vsc driver.longhorn.io Delete 7d22h
If not any, try using longhorn or any other volumeSnapshotClass.
Install Longhorn
Longhorn is a distributed block storage system for Kubernetes that manages persistent storage.
Add Longhorn chart repository.
helm repo add longhorn https://charts.longhorn.io
Update local Longhorn chart information from chart repository.
helm repo update
Install Longhorn chart.
With Helm 2, the following command will create the longhorn-system namespace and install the Longhorn chart together.
helm install longhorn/longhorn --name longhorn --namespace longhorn-system
With Helm 3, the following commands will create the longhorn-system namespace first, then install the Longhorn chart.
kubectl create namespace longhorn-system
helm install longhorn longhorn/longhorn --namespace longhorn-system
Create volumesnapshot class using longhorn
kind: VolumeSnapshotClass
apiVersion: snapshot.storage.k8s.io/v1
metadata:
name: longhorn-snapshot-vsc
driver: driver.longhorn.io
deletionPolicy: Delete
parameters:
type: snap
$ kubectl apply -f volumesnapshotclass.yaml
volumesnapshotclass.snapshot.storage.k8s.io/longhorn-snapshot-vsc unchanged
Install CSI driver for NFS
Install CSI driver for creating nfs volume from here.
helm repo add csi-driver-nfs https://raw.githubusercontent.com/kubernetes-csi/csi-driver-nfs/master/charts
helm install csi-driver-nfs csi-driver-nfs/csi-driver-nfs --namespace kube-system --version v4.5.0 --set feature.enableFSGroupPolicy=true
Be aware to set --set feature.enableFSGroupPolicy=true this.
We will use namespace demo throughout this tutorial.
➤ kubectl create ns demo
namespace/demo created
Setup NFS Server
We will deploy a nfs server and a service using the below yamls. Note we have shared /exports path.
apiVersion: apps/v1
kind: Deployment
metadata:
name: nfs-server
namespace: demo
spec:
selector:
matchLabels:
app: nfs-server
template:
metadata:
labels:
app: nfs-server
spec:
containers:
- name: nfs-server
image: k8s.gcr.io/volume-nfs:0.8
ports:
- name: nfs
containerPort: 2049
- name: mountd
containerPort: 20048
- name: rpcbind
containerPort: 111
securityContext:
privileged: true
volumeMounts:
- name: storage
mountPath: /exports
volumes:
- name: storage
hostPath:
path: /data/nfs # store all data in "/data/nfs" directory of the node where it is running
type: DirectoryOrCreate
---
apiVersion: v1
kind: Service
metadata:
name: nfs-server
namespace: demo
spec:
ports:
- name: nfs
port: 2049
- name: mountd
port: 20048
- name: rpcbind
port: 111
selector:
app: nfs-server # must match with the label of NFS pod
➤ kubectl apply -f nfs-server.yaml
deployment.apps/nfs-server created
service/nfs-server created
nfs server should be running inside nfs-server-*** pod
Create StorageClass for NFS
allowVolumeExpansion: true
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: nfs
parameters:
server: nfs-server.demo.svc.cluster.local
share: /
provisioner: nfs.csi.k8s.io
reclaimPolicy: Delete
volumeBindingMode: Immediate
Here, parameters.server should be the dns name of your service that is created along with nfs server, parameters.share should be the path inside the shared directory.
Create BackupStorage
First create a PVC which we will use as our backend storage. This pvc should be created using nfs storageClass that we have created earlier.
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: nfs-pvc
namespace: demo
spec:
storageClassName: "nfs"
resources:
requests:
storage: 1Gi
accessModes:
- ReadWriteOnce
Now we create the backupStorage following way.
apiVersion: storage.kubestash.com/v1alpha1
kind: BackupStorage
metadata:
name: local-storage
namespace: demo
spec:
storage:
provider: local
local:
mountPath: /md/walg
persistentVolumeClaim:
claimName: nfs-pvc
usagePolicy:
allowedNamespaces:
from: All
default: false
deletionPolicy: WipeOut
runtimeSettings:
pod:
securityContext:
fsGroup: 999
runAsUser: 999
$ kubectl apply -f nfs-pvc.yaml
persistentvolumeclaim/nfs-pvc created
$ kubectl apply -f backupstorage.yaml
backupstorage.storage.kubestash.com/linode-storage created
Retention policy
RetentionPolicy is a custom resource(CR) provided by KubeStash that allows you to set how long you’d like to retain the backup data.
apiVersion: storage.kubestash.com/v1alpha1
kind: RetentionPolicy
metadata:
name: mariadb-retention-policy
namespace: demo
spec:
maxRetentionPeriod: "30d"
successfulSnapshots:
last: 2
failedSnapshots:
last: 2
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mariadb/pitr/nfs/yamls/retention-policy.yaml
retentionpolicy.storage.kubestash.com/mariadb-retention-policy created
EncryptionSecret
apiVersion: v1
kind: Secret
type: Opaque
metadata:
name: encrypt-secret
namespace: demo
stringData:
RESTIC_PASSWORD: "changeit"
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mariadb/pitr/nfs/yamls/encryptionSecret.yaml
MariaDBArchiver
MariaDBArchiver is a custom resource(CR) provided by KubeDB for managing the archiving of MariaDB binlog files and performing volume-level backups
apiVersion: archiver.kubedb.com/v1alpha1
kind: MariaDBArchiver
metadata:
name: mariadbarchiver-sample
namespace: demo
spec:
pause: false
databases:
namespaces:
from: Selector
selector:
matchLabels:
kubernetes.io/metadata.name: demo
selector:
matchLabels:
archiver: "true"
retentionPolicy:
name: mariadb-retention-policy
namespace: demo
encryptionSecret:
name: "encrypt-secret"
namespace: "demo"
fullBackup:
jobTemplate:
spec:
securityContext:
fsGroup: 999
runAsUser: 999
driver: "VolumeSnapshotter"
task:
params:
volumeSnapshotClassName: "longhorn-snapshot-vsc"
scheduler:
successfulJobsHistoryLimit: 1
failedJobsHistoryLimit: 1
schedule: "*/30 * * * *"
sessionHistoryLimit: 2
manifestBackup:
jobTemplate:
spec:
securityContext:
fsGroup: 999
runAsUser: 999
scheduler:
successfulJobsHistoryLimit: 1
failedJobsHistoryLimit: 1
schedule: "*/30 * * * *"
sessionHistoryLimit: 2
backupStorage:
ref:
name: "local-storage"
namespace: "demo"
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mariadb/pitr/nfs/yamls/mariadbarchiver.yaml
mariadbarchiver.archiver.kubedb.com/mariadbarchiver-sample created
Deploy MariaDB
So far we are ready with setup for continuously archive MariaDB, We deploy a mariadb referring the MariaDB archiver object.To properly configure MariaDB for archiving, you need to pass specific arguments to the MariaDB container in the spec.podTemplate.containers["mariadb"].args field. Below is an example of a YAML configuration for a MariaDB instance managed by KubeDB, with archiving enabled.
apiVersion: kubedb.com/v1
kind: MariaDB
metadata:
name: mariadb
namespace: demo
labels:
archiver: "true"
spec:
version: "11.1.3"
replicas: 3
storageType: Durable
storage:
storageClassName: "longhorn"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
archiver:
ref:
name: mariadbarchiver-sample
namespace: demo
deletionPolicy: WipeOut
podTemplate:
spec:
containers:
- name: mariadb
args:
- "--log-bin"
- "--log-slave-updates"
- "--wsrep-gtid-mode=ON"
$ kubectl get pod -n demo
NAME READY STATUS RESTARTS AGE
mariadb-0 2/2 Running 0 4m12s
mariadb-1 2/2 Running 0 4m12s
mariadb-2 2/2 Running 0 3m12s
mariadb-backup-full-backup-1726549703-bjk9w 0/1 Completed 0 3m22s
mariadb-backup-manifest-backup-1726549703-fx9kx 0/1 Completed 0 3m22s
mariadb-sidekick 1/1 Running
retention-policy-mariadb-backup-full-backup-1726549703-wg7wt 0/1 Completed 0 3m42s
retention-policy-mariadb-backup-manifest-backup-17265497038pvjd 0/1 Completed 0 3m55s
mariadb-sidekick is responsible for uploading binlog files
mariadb-backup-full-backup-1726549703-bjk9w are the pod of volumes levels backups for MariaDB.
mariadb-backup-manifest-backup-1726549703-fx9kx are the pod of the manifest backup related to MariaDB object
validate BackupConfiguration and VolumeSnapshots
$ kubectl get backupconfigurations -n demo
NAME PHASE PAUSED AGE
mariadb-backup Ready 2m43s
$ kubectl get backupsession -n demo
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
mariadb-backup-full-backup-1726549703 BackupConfiguration mariadb-backup Succeeded 33s 11m
mariadb-backup-manifest-backup-1726549703 BackupConfiguration mariadb-backup Succeeded 20s 11m
kubectl get volumesnapshots -n demo
NAME READYTOUSE SOURCEPVC SOURCESNAPSHOTCONTENT RESTORESIZE SNAPSHOTCLASS SNAPSHOTCONTENT CREATIONTIME AGE
mariadb-1726549985 true data-mariadb-0 10Gi longhorn-snapshot-vsc snapcontent-317aaac9-ae4f-438b-9763-4eb81ff828af 11m 11m
data insert and switch wal
After each and every wal switch the wal files will be uploaded to backup storage
$ kubectl exec -it -n demo mariadb-0 -- bash
bash-4.4$ mariadb -uroot -p$MYSQL_ROOT_PASSWORD
MariaDB> create database hello;
MariaDB> use hello;
MariaDB [hello]> CREATE TABLE `demo_table`(
-> `id` BIGINT(20) NOT NULL,
-> `name` VARCHAR(255) DEFAULT NULL,
-> PRIMARY KEY (`id`)
-> );
MariaDB [hello]> INSERT INTO `demo_table` (`id`, `name`)
-> VALUES
-> (1, 'John'),
-> (2, 'Jane'),
-> (3, 'Bob'),
-> (4, 'Alice'),
-> (5, 'Charlie'),
-> (6, 'Diana'),
-> (7, 'Eve'),
-> (8, 'Frank'),
-> (9, 'Grace'),
-> (10, 'Henry');
MariaDB [hello]> select now();
+---------------------+
| now() |
+---------------------+
| 2024-09-17 05:28:26 |
+---------------------+
+---------------------+
MariaDB [hello]> select count(*) from demo_table;
+----------+
| count(*) |
+----------+
| 10 |
+----------+
At this point We have 10 rows in our newly created table
demo_tableon databasehello
Point-in-time Recovery
Point-In-Time Recovery allows you to restore a MariaDB database to a specific point in time using the archived transaction logs. This is particularly useful in scenarios where you need to recover to a state just before a specific error or data corruption occurred. Let’s say accidentally our dba drops the the table demo_table and we want to restore.
$ kubectl exec -it -n demo mariadb-0 -- bash
MariaDB [hello]> drop table demo_table;
MariaDB [hello]> flush logs;
We can’t restore from a full backup since at this point no full backup was perform. so we can choose a specific time in which time we want to restore.We can get the specfice time from the wal that archived in the backup storage . Go to the binlog file and find where to store. You can parse binlog-files using mariadbbinlog.
For the demo I will use the previous time we get form select now()
MariaDB [hello]> select now();
+---------------------+
| now() |
+---------------------+
| 2024-09-17 05:28:26 |
+---------------------+
Restore MariaDB
apiVersion: kubedb.com/v1
kind: MariaDB
metadata:
name: restore-mariadb
namespace: demo
spec:
init:
archiver:
encryptionSecret:
name: encrypt-secret
namespace: demo
fullDBRepository:
name: mariadb-full
namespace: demo
recoveryTimestamp: "2024-09-17T05:28:26Z"
version: "11.1.3"
replicas: 3
storageType: Durable
storage:
storageClassName: "longhorn"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
deletionPolicy: WipeOut
podTemplate:
spec:
containers:
- name: mariadb
args:
- "--log-bin"
- "--log-slave-updates"
- "--wsrep-gtid-mode=ON"
$ kubectl apply -f mariadbrestore.yaml
mariadb.kubedb.com/restore-mariadb created
check for Restored MariaDB
$ kubectl get pod -n demo
restore-mariadb-0 1/1 Running 0 44s
restore-mariadb-1 1/1 Running 0 42s
restore-mariadb-2 1/1 Running 0 41s
restore-mariadb-restorer-z4brz 0/2 Completed 0 113s
restore-mariadb-restoresession-lk6jq 0/1 Completed 0 2m6s
$ kubectl get mariadb -n demo
NAME VERSION STATUS AGE
mariadb 11.1.3 Ready 14m
restore-mariadb 11.1.3 Ready 5m37s
Validating data on Restored MariaDB
$ kubectl exec -it -n demo restore-mariadb-0 -- bash
bash-4.4$ mariadb -uroot -p$MYSQL_ROOT_PASSWORD
mariadb> use hello
MariaDB [hello]> select count(*) from demo_table;
+----------+
| count(*) |
+----------+
| 10 |
+----------+
1 row in set (0.00 sec)
so we are able to successfully recover from a disaster
Cleaning up
To cleanup the Kubernetes resources created by this tutorial, run:
$ kubectl delete -n demo mariadb/mariadb
$ kubectl delete -n demo mariadb/restore-mariadb
$ kubectl delete -n demo backupstorage
$ kubectl delete -n demo mariadbarchiver
$ kubectl delete ns demo
Next Steps
- Learn about backup and restore MariaDB database using KubeStash.
- Learn about initializing MariaDB with Script.
- Want to setup MariaDB cluster? Check how to configure Highly Available MariaDB Cluster
- Monitor your MariaDB database with KubeDB using built-in Prometheus.
- Monitor your MariaDB database with KubeDB using Prometheus operator.
- Detail concepts of MariaDB object.
- Use private Docker registry to deploy MariaDB with KubeDB.
- Want to hack on KubeDB? Check our contribution guidelines.