New to KubeDB? Please start here.

Horizontal Scale SingleStore

This guide will show you how to use KubeDB Enterprise operator to scale the cluster of a SingleStore 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 Horizontal 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 horizontal 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. Then, in the next section we will scale 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/horizontal-scaling/cluster/example/sample-sdb.yaml
singlestore.kubedb.com/sample-sdb created

Now, wait until sample-sdb has status Ready. i.e,

$ kubectl get singlestore -n demo
NAME         TYPE                  VERSION   STATUS   AGE
sample-sdb   kubedb.com/v1alpha2   8.7.10    Ready    86s

Let’s check the number of aggreagtor replicas and leaf replicas this database has from the SingleStore object, number of pods the aggregator-petset and leaf-petset have,

$ kubectl get sdb -n demo sample-sdb -o json | jq '.spec.topology.aggregator.replicas'
1
$ kubectl get sdb -n demo sample-sdb -o json | jq '.spec.topology.leaf.replicas'
2

$ kubectl get petset -n demo sample-sdb-aggregator -o=jsonpath='{.spec.replicas}{"\n"}'
1
kubectl get petset -n demo sample-sdb-leaf -o=jsonpath='{.spec.replicas}{"\n"}'
2

We can see from both command that the database has 1 aggregator replicas and 2 leaf replicas in the cluster.

Also, we can verify the replicas of the from an internal memsqlctl command by execing into a replica.

Now let’s connect to a singlestore instance and run a memsqlctl internal command to check the number of replicas,

$ kubectl exec -it -n demo sample-sdb-aggregator-0 -- bash
Defaulted container "singlestore" out of: singlestore, singlestore-coordinator, singlestore-init (init)
[memsql@sample-sdb-aggregator-0 /]$ memsqlctl show-cluster
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
|        Role         |                       Host                       | Port | Availability Group | Pair Host | Pair Port | State  | Opened Connections | Average Roundtrip Latency ms | NodeId | Master Aggregator |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
| Leaf                | sample-sdb-leaf-0.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 2                  |                              | 2      |                   |
| Leaf                | sample-sdb-leaf-1.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 3                  |                              | 3      |                   |
| Aggregator (Leader) | sample-sdb-aggregator-0.sample-sdb-pods.demo.svc | 3306 |                    | null      | null      | online | 1                  | null                         | 1      | 1                 |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+

We can see from the above output that the cluster has 1 aggregator node and 2 leaf nodes.

We are now ready to apply the SingleStoreOpsRequest CR to scale this database.

Scale Up Replicas

Here, we are going to scale up the replicas of the leaf nodes to meet the desired number of replicas after scaling.

Create SingleStoreOpsRequest

In order to scale up the replicas of the leaf nodes of the database, we have to create a SingleStoreOpsRequest CR with our desired replicas. Below is the YAML of the SingleStoreOpsRequest CR that we are going to create,

apiVersion: ops.kubedb.com/v1alpha1
kind: SinglestoreOpsRequest
metadata:
  name: sdbops-scale-horizontal-up
  namespace: demo
spec:
  type: HorizontalScaling
  databaseRef:
    name: sample-sdb
  horizontalScaling:
    leaf: 3

Here,

  • spec.databaseRef.name specifies that we are performing horizontal scaling operation on sample-sdb database.
  • spec.type specifies that we are performing HorizontalScaling on our database.
  • spec.horizontalScaling.leaf specifies the desired leaf replicas after scaling.

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/horizontal-scaling/cluster/example/sdbops-upscale.yaml
singlestoreopsrequest.ops.kubedb.com/sdbops-scale-horizontal-up created

Verify Cluster replicas scaled up successfully

If everything goes well, KubeDB Enterprise operator will update the replicas 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-scale-horizontal-up   HorizontalScaling   Successful   74s

We can see from the above output that the SingleStoreOpsRequest has succeeded. Now, we are going to verify the number of leaf replicas this database has from the SingleStore object, number of pods the leaf petset have,

$ kubectl get sdb -n demo sample-sdb -o json | jq '.spec.topology.leaf.replicas'
3
$ kubectl get petset -n demo sample-sdb-leaf -o=jsonpath='{.spec.replicas}{"\n"}'
3

Now let’s connect to a singlestore instance and run a memsqlctl internal command to check the number of replicas,

$ kubectl exec -it -n demo sample-sdb-aggregator-0 -- bash
Defaulted container "singlestore" out of: singlestore, singlestore-coordinator, singlestore-init (init)
[memsql@sample-sdb-aggregator-0 /]$ memsqlctl show-cluster
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
|        Role         |                       Host                       | Port | Availability Group | Pair Host | Pair Port | State  | Opened Connections | Average Roundtrip Latency ms | NodeId | Master Aggregator |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
| Leaf                | sample-sdb-leaf-0.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 2                  |                              | 2      |                   |
| Leaf                | sample-sdb-leaf-1.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 3                  |                              | 3      |                   |
| Leaf                | sample-sdb-leaf-2.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 2                  |                              | 4      |                   |
| Aggregator (Leader) | sample-sdb-aggregator-0.sample-sdb-pods.demo.svc | 3306 |                    | null      | null      | online | 1                  | null                         | 1      | 1                 |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+

From all the above outputs we can see that the leaf replicas of the cluster is 3. That means we have successfully scaled up the leaf replicas of the SingleStore Cluster.

Scale Down Replicas

Here, we are going to scale down the leaf replicas of the cluster to meet the desired number of replicas after scaling.

Create SingleStoreOpsRequest

In order to scale down the cluster of the database, we have to create a SingleStoreOpsRequest CR with our desired replicas. Below is the YAML of the SingleStoreOpsRequest CR that we are going to create,

apiVersion: ops.kubedb.com/v1alpha1
kind: SinglestoreOpsRequest
metadata:
  name: sdbops-scale-horizontal-down
  namespace: demo
spec:
  type: HorizontalScaling
  databaseRef:
    name: sample-sdb
  horizontalScaling:
    leaf: 2

Here,

  • spec.databaseRef.name specifies that we are performing horizontal scaling down operation on sample-sdb database.
  • spec.type specifies that we are performing HorizontalScaling on our database.
  • spec.horizontalScaling.leaf specifies the desired leaf replicas after scaling.

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/horizontal-scaling/cluster/example/sdbops-downscale.yaml
singlestoreopsrequest.ops.kubedb.com/sdbops-scale-horizontal-down created

Verify Cluster replicas scaled down successfully

If everything goes well, KubeDB Enterprise operator will update the replicas 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-scale-horizontal-down   HorizontalScaling   Successful   63s

We can see from the above output that the SingleStoreOpsRequest has succeeded. Now, we are going to verify the number of leaf replicas this database has from the SingleStore object, number of pods the leaf petset have,

$ kubectl get sdb -n demo sample-sdb -o json | jq '.spec.topology.leaf.replicas'
2
$ kubectl get petset -n demo sample-sdb-leaf -o=jsonpath='{.spec.replicas}{"\n"}'
2

Now let’s connect to a singlestore instance and run a memsqlctl internal command to check the number of replicas,

$ kubectl exec -it -n demo sample-sdb-aggregator-0 -- bash
Defaulted container "singlestore" out of: singlestore, singlestore-coordinator, singlestore-init (init)
bash: mesqlctl: command not found
[memsql@sample-sdb-aggregator-0 /]$ memsqlctl show-cluster
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
|        Role         |                       Host                       | Port | Availability Group | Pair Host | Pair Port | State  | Opened Connections | Average Roundtrip Latency ms | NodeId | Master Aggregator |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+
| Leaf                | sample-sdb-leaf-0.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 2                  |                              | 2      |                   |
| Leaf                | sample-sdb-leaf-1.sample-sdb-pods.demo.svc       | 3306 | 1                  | null      | null      | online | 3                  |                              | 3      |                   |
| Aggregator (Leader) | sample-sdb-aggregator-0.sample-sdb-pods.demo.svc | 3306 |                    | null      | null      | online | 1                  | null                         | 1      | 1                 |
+---------------------+--------------------------------------------------+------+--------------------+-----------+-----------+--------+--------------------+------------------------------+--------+-------------------+

From all the above outputs we can see that the leaf replicas of the cluster is 2. That means we have successfully scaled down the leaf replicas 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-scale-horizontal-up sdbops-scale-horizontal-down