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Vertical Scale SingleStore Cluster
This guide will show you how to use KubeDB Enterprise operator to update the resources of a SingleStore cluster database.
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 using kind.Install
KubeDBCommunity and Enterprise operator in your cluster following the steps here.You should be familiar with the following
KubeDBconcepts:
To keep everything isolated, we are going to use a separate namespace called demo throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Apply Vertical Scaling on Cluster
Here, we are going to deploy a SingleStore cluster using a supported version by KubeDB operator. Then we are going to apply vertical scaling on it.
Create SingleStore License Secret
We need SingleStore License to create SingleStore Database. So, Ensure that you have acquired a license and then simply pass the license by secret.
$ kubectl create secret generic -n demo license-secret \
--from-literal=username=license \
--from-literal=password='your-license-set-here'
secret/license-secret created
Deploy SingleStore Cluster
In this section, we are going to deploy a SingleStore cluster database. Then, in the next section we will update the resources of the database using SingleStoreOpsRequest CRD. Below is the YAML of the SingleStore CR that we are going to create,
apiVersion: kubedb.com/v1alpha2
kind: Singlestore
metadata:
name: sample-sdb
namespace: demo
spec:
version: "8.7.10"
topology:
aggregator:
replicas: 1
podTemplate:
spec:
containers:
- name: singlestore
resources:
limits:
memory: "2Gi"
cpu: "600m"
requests:
memory: "2Gi"
cpu: "600m"
storage:
storageClassName: "longhorn"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
leaf:
replicas: 2
podTemplate:
spec:
containers:
- name: singlestore
resources:
limits:
memory: "2Gi"
cpu: "600m"
requests:
memory: "2Gi"
cpu: "600m"
storage:
storageClassName: "longhorn"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
licenseSecret:
name: license-secret
storageType: Durable
deletionPolicy: WipeOut
Let’s create the SingleStore CR we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2025.1.9/docs/guides/singlestore/scaling/vertical-scaling/cluster/example/sample-sdb.yaml
singlestore.kubedb.com/sample-sdb created
Now, wait until sample-sdb has status Ready. i.e,
$ kubectl get sdb -n demo
NAME TYPE VERSION STATUS AGE
sample-sdb kubedb.com/v1alpha2 8.7.10 Ready 101s
Let’s check the Pod containers resources,
$ kubectl get pod -n demo sample-sdb-aggregator-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "600m",
"memory": "2Gi"
},
"requests": {
"cpu": "600m",
"memory": "2Gi"
}
}
We are now ready to apply the SingleStoreOpsRequest CR to update the resources of this database.
Vertical Scaling
Here, we are going to update the resources of the database to meet the desired resources after scaling.
Create SingleStoreOpsRequest
In order to update the resources of the database, we have to create a SingleStoreOpsRequest CR with our desired resources. Below is the YAML of the SingleStoreOpsRequest CR that we are going to create,
apiVersion: ops.kubedb.com/v1alpha1
kind: SinglestoreOpsRequest
metadata:
name: sdbops-vscale
namespace: demo
spec:
type: VerticalScaling
databaseRef:
name: sample-sdb
verticalScaling:
aggregator:
resources:
requests:
memory: "2500Mi"
cpu: "0.7"
limits:
memory: "2500Mi"
cpu: "0.7"
Here,
spec.databaseRef.namespecifies that we are performing vertical scaling operation onsample-sdbdatabase.spec.typespecifies that we are performingVerticalScalingon our database.spec.VerticalScaling.aggregatorspecifies the desiredaggregatornodes resources after scaling. As well you can scale resources for leaf node, standalone node and coordinator container.
Let’s create the SingleStoreOpsRequest CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2025.1.9/docs/guides/singlestore/scaling/vertical-scaling/cluster/example/sdbops-vscale.yaml
singlestoreopsrequest.ops.kubedb.com/sdbops-vscale created
Verify SingleStore Cluster resources updated successfully
If everything goes well, KubeDB Enterprise operator will update the resources of SingleStore object and related PetSets and Pods.
Let’s wait for SingleStoreOpsRequest to be Successful. Run the following command to watch SingleStoreOpsRequest CR,
$ kubectl get singlestoreopsrequest -n demo
NAME TYPE STATUS AGE
sdbops-vscale VerticalScaling Successful 7m30s
We can see from the above output that the SingleStoreOpsRequest has succeeded. Now, we are going to verify from one of the Pod yaml whether the resources of the database has updated to meet up the desired state, Let’s check,
$ kubectl get pod -n demo sample-sdb-aggregator-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "700m",
"memory": "2500Mi"
},
"requests": {
"cpu": "700m",
"memory": "2500Mi"
}
}
The above output verifies that we have successfully scaled up the resources of the SingleStore database.
Cleaning Up
To clean up the Kubernetes resources created by this tutorial, run:
$ kubectl delete sdb -n demo sample-sdb
$ kubectl delete singlestoreopsrequest -n demo sdbops-vscale