New to KubeDB? Please start here.

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 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 kind.

  • Install KubeDB Community and Enterprise operator in your cluster following the steps here.

  • 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

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/v2024.9.30/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.name specifies that we are performing vertical scaling operation on sample-sdb database.
  • spec.type specifies that we are performing VerticalScaling on our database.
  • spec.VerticalScaling.aggregator specifies the desired aggregator nodes 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/v2024.9.30/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