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Run Production-Grade Databases on Kubernetes
Backup and Recovery Solution for Kubernetes
Run Production-Grade Vault on Kubernetes
Secure HAProxy Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
Kubernetes Authentication WebHook Server
KubeDB simplifies Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds.
KubeVault is a Git-Ops ready, production-grade solution for deploying and configuring Hashicorp's Vault on Kubernetes.
Secure HAProxy Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
Kubernetes Authentication WebHook Server
New to KubeDB? Please start here.
This guide will show you how to use KubeDB
Enterprise operator to update the resources of a ProxySQL cluster .
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
Also we need a mysql backend for the proxysql server. So we are creating one with the below yaml.
apiVersion: kubedb.com/v1alpha2
kind: MySQL
metadata:
name: mysql-server
namespace: demo
spec:
version: "5.7.36"
replicas: 3
topology:
mode: GroupReplication
storageType: Durable
storage:
storageClassName: "standard"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
terminationPolicy: WipeOut
$ kubectl create -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/scaling/vertical-scaling/cluster/example/sample-mysql.yaml
mysql.kubedb.com/mysql-server created
After applying the above yaml wait for the MySQL to be Ready.
Here, we are going to deploy a ProxySQL
cluster using a supported version by KubeDB
operator. Then we are going to apply vertical scaling on it.
Now, we are going to deploy a ProxySQL
cluster database with version 2.3.2-debian
.
In this section, we are going to deploy a ProxySQL cluster. Then, in the next section we will update the resources of the servers using ProxySQLOpsRequest
CRD. Below is the YAML of the ProxySQL
CR that we are going to create,
apiVersion: kubedb.com/v1alpha2
kind: ProxySQL
metadata:
name: proxy-server
namespace: demo
spec:
version: "2.3.2-debian"
replicas: 3
mode: GroupReplication
backend:
name: mysql-server
syncUsers: true
terminationPolicy: WipeOut
podTemplate:
spec:
resources:
limits:
cpu: 500m
memory: 1Gi
requests:
cpu: 500m
memory: 1Gi
Let’s create the ProxySQL
CR we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/scaling/vertical-scaling/cluster/example/sample-proxysql.yaml
proxysql.kubedb.com/proxy-server created
Now, wait until proxy-server
has status Ready
. i.e,
$ kubectl get proxysql -n demo
NAME VERSION STATUS AGE
proxy-server 2.3.2-debian Ready 3m46s
Let’s check the Pod containers resources,
$ kubectl get pod -n demo proxy-server-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "500m",
"memory": "1Gi"
},
"requests": {
"cpu": "500m",
"memory": "1Gi"
}
}
You can see the Pod has the default resources which is assigned by Kubedb operator.
We are now ready to apply the ProxySQLOpsRequest
CR to update the resources of this server.
Here, we are going to update the resources of the server to meet the desired resources after scaling.
In order to update the resources of the database, we have to create a ProxySQLOpsRequest
CR with our desired resources. Below is the YAML of the ProxySQLOpsRequest
CR that we are going to create,
apiVersion: ops.kubedb.com/v1alpha1
kind: ProxySQLOpsRequest
metadata:
name: proxyops-vscale
namespace: demo
spec:
type: VerticalScaling
proxyRef:
name: proxy-server
verticalScaling:
proxysql:
requests:
memory: "1.2Gi"
cpu: "0.6"
limits:
memory: "1.2Gi"
cpu: "0.6"
Here,
spec.proxyRef.name
specifies that we are performing vertical scaling operation on proxy-server
instance.spec.type
specifies that we are performing VerticalScaling
on our server.spec.verticalScaling.proxysql
specifies the desired resources after scaling.Let’s create the ProxySQLOpsRequest
CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/scaling/vertical-scaling/cluster/example/proxyops-vscale.yaml
proxysqlopsrequest.ops.kubedb.com/proxyops-vscale created
If everything goes well, KubeDB
Enterprise operator will update the resources of ProxySQL
object and related StatefulSets
and Pods
.
Let’s wait for ProxySQLOpsRequest
to be Successful
. Run the following command to watch ProxySQLOpsRequest
CR,
$ kubectl get proxysqlopsrequest -n demo
Every 2.0s: kubectl get proxysqlopsrequest -n demo
NAME TYPE STATUS AGE
proxyops-vscale VerticalScaling Successful 3m56s
We can see from the above output that the ProxySQLOpsRequest
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 proxy-server-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "600m",
"memory": "1288490188800m"
},
"requests": {
"cpu": "600m",
"memory": "1288490188800m"
}
}
The above output verifies that we have successfully scaled up the resources of the ProxySQL instance.
To clean up the Kubernetes resources created by this tutorial, run:
$ kubectl delete proxysql -n demo proxy-server
$ kubectl delete proxysqlopsrequest -n demo proxyops-vscale