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Storage Autoscaling of a MySQL Cluster
This guide will show you how to use KubeDB
to autoscale the storage of a MySQL Replicaset database.
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.Install
KubeDB
Community, Enterprise and Autoscaler operator in your cluster following the steps here.Install
Metrics Server
from hereInstall Prometheus from here
You must have a
StorageClass
that supports volume expansion.You should be familiar with the following
KubeDB
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
Storage Autoscaling of Cluster Database
At first verify that your cluster has a storage class, that supports volume expansion. Let’s check,
$ kubectl get storageclass
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
standard (default) rancher.io/local-path Delete WaitForFirstConsumer false 79m
topolvm-provisioner topolvm.cybozu.com Delete WaitForFirstConsumer true 78m
We can see from the output the topolvm-provisioner
storage class has ALLOWVOLUMEEXPANSION
field as true. So, this storage class supports volume expansion. We can use it. You can install topolvm from here
Now, we are going to deploy a MySQL
replicaset using a supported version by KubeDB
operator. Then we are going to apply MySQLAutoscaler
to set up autoscaling.
Deploy MySQL Cluster
In this section, we are going to deploy a MySQL replicaset database with version 10.5.23
. Then, in the next section we will set up autoscaling for this database using MySQLAutoscaler
CRD. Below is the YAML of the MySQL
CR that we are going to create,
If you want to autoscale MySQL
Standalone
, Just remove thespec.Replicas
from the below yaml and rest of the steps are same.
apiVersion: kubedb.com/v1
kind: MySQL
metadata:
name: sample-mysql
namespace: demo
spec:
version: "8.0.35"
replicas: 3
topology:
mode: GroupReplication
storageType: Durable
storage:
storageClassName: "topolvm-provisioner"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
deletionPolicy: WipeOut
Let’s create the MySQL
CRO we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mysql/autoscaler/storage/cluster/examples/sample-mysql.yaml
mysql.kubedb.com/sample-mysql created
Now, wait until sample-mysql
has status Ready
. i.e,
$ kubectl get mysql -n demo
NAME VERSION STATUS AGE
sample-mysql 10.5.23 Ready 3m46s
Let’s check volume size from petset, and from the persistent volume,
$ kubectl get sts -n demo sample-mysql -o json | jq '.spec.volumeClaimTemplates[].spec.resources.requests.storage'
"1Gi"
$ kubectl get pv -n demo
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
pvc-43266d76-f280-4cca-bd78-d13660a84db9 1Gi RWO Delete Bound demo/data-sample-mysql-2 topolvm-provisioner 57s
pvc-4a509b05-774b-42d9-b36d-599c9056af37 1Gi RWO Delete Bound demo/data-sample-mysql-0 topolvm-provisioner 58s
pvc-c27eee12-cd86-4410-b39e-b1dd735fc14d 1Gi RWO Delete Bound demo/data-sample-mysql-1 topolvm-provisioner 57s
You can see the petset has 1GB storage, and the capacity of all the persistent volume is also 1GB.
We are now ready to apply the MySQLAutoscaler
CRO to set up storage autoscaling for this database.
Storage Autoscaling
Here, we are going to set up storage autoscaling using a MySQLAutoscaler Object.
Create MySQLAutoscaler Object
In order to set up vertical autoscaling for this replicaset database, we have to create a MySQLAutoscaler
CRO with our desired configuration. Below is the YAML of the MySQLAutoscaler
object that we are going to create,
apiVersion: autoscaling.kubedb.com/v1alpha1
kind: MySQLAutoscaler
metadata:
name: my-as-st
namespace: demo
spec:
databaseRef:
name: sample-mysql
storage:
mysql:
trigger: "On"
usageThreshold: 20
scalingThreshold: 20
expansionMode: "Online"
Here,
spec.databaseRef.name
specifies that we are performing vertical scaling operation onsample-mysql
database.spec.storage.mysql.trigger
specifies that storage autoscaling is enabled for this database.spec.storage.mysql.usageThreshold
specifies storage usage threshold, if storage usage exceeds20%
then storage autoscaling will be triggered.spec.storage.mysql.scalingThreshold
specifies the scaling threshold. Storage will be scaled to20%
of the current amount.spec.storage.mysql.expansionMode
specifies the expansion mode of volume expansionMySQLOpsRequest
created byMySQLAutoscaler
. topolvm-provisioner supports online volume expansion so hereexpansionMode
is set as “Online”.
Let’s create the MySQLAutoscaler
CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/guides/mysql/autoscaler/storage/cluster/examples/my-as-storage.yaml
mysqlautoscaler.autoscaling.kubedb.com/my-as-st created
Storage Autoscaling is set up successfully
Let’s check that the mysqlautoscaler
resource is created successfully,
$ kubectl get mysqlautoscaler -n demo
NAME AGE
my-as-st 33s
$ kubectl describe mysqlautoscaler my-as-st -n demo
Name: my-as-st
Namespace: demo
Labels: <none>
Annotations: API Version: autoscaling.kubedb.com/v1alpha1
Kind: MySQLAutoscaler
Metadata:
Creation Timestamp: 2022-01-14T06:08:02Z
Generation: 1
Managed Fields:
...
Resource Version: 24009
UID: 4f45a3b3-fc72-4d04-b52c-a770944311f6
Spec:
Database Ref:
Name: sample-mysql
Storage:
MySQL:
Scaling Threshold: 20
Trigger: On
Usage Threshold: 20
Events: <none>
So, the mysqlautoscaler
resource is created successfully.
Now, for this demo, we are going to manually fill up the persistent volume to exceed the usageThreshold
using dd
command to see if storage autoscaling is working or not.
Let’s exec into the database pod and fill the database volume(var/lib/mysql
) using the following commands:
$ kubectl exec -it -n demo sample-mysql-0 -- bash
root@sample-mysql-0:/ df -h /var/lib/mysql
Filesystem Size Used Avail Use% Mounted on
/dev/topolvm/57cd4330-784f-42c1-bf8e-e743241df164 1014M 357M 658M 36% /var/lib/mysql
root@sample-mysql-0:/ dd if=/dev/zero of=/var/lib/mysql/file.img bs=500M count=1
1+0 records in
1+0 records out
524288000 bytes (524 MB, 500 MiB) copied, 0.340877 s, 1.5 GB/s
root@sample-mysql-0:/ df -h /var/lib/mysql
Filesystem Size Used Avail Use% Mounted on
/dev/topolvm/57cd4330-784f-42c1-bf8e-e743241df164 1014M 857M 158M 85% /var/lib/mysql
So, from the above output we can see that the storage usage is 83%, which exceeded the usageThreshold
20%.
Let’s watch the mysqlopsrequest
in the demo namespace to see if any mysqlopsrequest
object is created. After some time you’ll see that a mysqlopsrequest
of type VolumeExpansion
will be created based on the scalingThreshold
.
$ kubectl get mysqlopsrequest -n demo
NAME TYPE STATUS AGE
mops-sample-mysql-xojkua VolumeExpansion Progressing 15s
Let’s wait for the ops request to become successful.
$ kubectl get mysqlopsrequest -n demo
NAME TYPE STATUS AGE
mops-sample-mysql-xojkua VolumeExpansion Successful 97s
We can see from the above output that the MySQLOpsRequest
has succeeded. If we describe the MySQLOpsRequest
we will get an overview of the steps that were followed to expand the volume of the database.
$ kubectl describe mysqlopsrequest -n demo mops-sample-mysql-xojkua
Name: mops-sample-mysql-xojkua
Namespace: demo
Labels: app.kubernetes.io/component=database
app.kubernetes.io/instance=sample-mysql
app.kubernetes.io/managed-by=kubedb.com
app.kubernetes.io/name=mysqls.kubedb.com
Annotations: <none>
API Version: ops.kubedb.com/v1alpha1
Kind: MySQLOpsRequest
Metadata:
Creation Timestamp: 2022-01-14T06:13:10Z
Generation: 1
Managed Fields: ...
Owner References:
API Version: autoscaling.kubedb.com/v1alpha1
Block Owner Deletion: true
Controller: true
Kind: MySQLAutoscaler
Name: my-as-st
UID: 4f45a3b3-fc72-4d04-b52c-a770944311f6
Resource Version: 25557
UID: 90763a49-a03f-407c-a233-fb20c4ab57d7
Spec:
Database Ref:
Name: sample-mysql
Type: VolumeExpansion
Volume Expansion:
MySQL: 1594884096
Status:
Conditions:
Last Transition Time: 2022-01-14T06:13:10Z
Message: Controller has started to Progress the MySQLOpsRequest: demo/mops-sample-mysql-xojkua
Observed Generation: 1
Reason: OpsRequestProgressingStarted
Status: True
Type: Progressing
Last Transition Time: 2022-01-14T06:14:25Z
Message: Volume Expansion performed successfully in MySQL pod for MySQLOpsRequest: demo/mops-sample-mysql-xojkua
Observed Generation: 1
Reason: SuccessfullyVolumeExpanded
Status: True
Type: VolumeExpansion
Last Transition Time: 2022-01-14T06:14:25Z
Message: Controller has successfully expand the volume of MySQL demo/mops-sample-mysql-xojkua
Observed Generation: 1
Reason: OpsRequestProcessedSuccessfully
Status: True
Type: Successful
Observed Generation: 3
Phase: Successful
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Starting 2m58s KubeDB Enterprise Operator Start processing for MySQLOpsRequest: demo/mops-sample-mysql-xojkua
Normal Starting 2m58s KubeDB Enterprise Operator Pausing MySQL databse: demo/sample-mysql
Normal Successful 2m58s KubeDB Enterprise Operator Successfully paused MySQL database: demo/sample-mysql for MySQLOpsRequest: mops-sample-mysql-xojkua
Normal Successful 103s KubeDB Enterprise Operator Volume Expansion performed successfully in MySQL pod for MySQLOpsRequest: demo/mops-sample-mysql-xojkua
Normal Starting 103s KubeDB Enterprise Operator Updating MySQL storage
Normal Successful 103s KubeDB Enterprise Operator Successfully Updated MySQL storage
Normal Starting 103s KubeDB Enterprise Operator Resuming MySQL database: demo/sample-mysql
Normal Successful 103s KubeDB Enterprise Operator Successfully resumed MySQL database: demo/sample-mysql
Normal Successful 103s KubeDB Enterprise Operator Controller has Successfully expand the volume of MySQL: demo/sample-mysql
Now, we are going to verify from the Petset
, and the Persistent Volume
whether the volume of the replicaset database has expanded to meet the desired state, Let’s check,
$ kubectl get sts -n demo sample-mysql -o json | jq '.spec.volumeClaimTemplates[].spec.resources.requests.storage'
"1594884096"
$ kubectl get pv -n demo
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
pvc-43266d76-f280-4cca-bd78-d13660a84db9 2Gi RWO Delete Bound demo/data-sample-mysql-2 topolvm-provisioner 23m
pvc-4a509b05-774b-42d9-b36d-599c9056af37 2Gi RWO Delete Bound demo/data-sample-mysql-0 topolvm-provisioner 24m
pvc-c27eee12-cd86-4410-b39e-b1dd735fc14d 2Gi RWO Delete Bound demo/data-sample-mysql-1 topolvm-provisioner 23m
The above output verifies that we have successfully autoscaled the volume of the MySQL replicaset database.
Cleaning Up
To clean up the Kubernetes resources created by this tutorial, run:
kubectl delete mysql -n demo sample-mysql
kubectl delete mysqlautoscaler -n demo my-as-st
kubectl delete ns demo