You are looking at the documentation of a prior release. To read the documentation of the latest release, please
visit here.
New to KubeDB? Please start here.
This is an Enterprise-only feature. Please install KubeDB Enterprise Edition to try this feature.
Autoscaling the Compute Resource of a ProxySQL Cluster Database
This guide will show you how to use KubeDB to autoscale compute resources i.e. cpu and memory of a ProxySQL replicaset 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.Install
KubeDBCommunity, Ops-Manager and Autoscaler operator in your cluster following the steps here.Install
Metrics Serverfrom hereYou 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
Prepare MySQL backend
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 apply -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/autoscaler/cluster/examples/sample-mysql.yaml
mysql.kubedb.com/mysql-server created
Let’s wait for the MySQL to be Ready.
$ kubectl get mysql -n demo
NAME VERSION STATUS AGE
mysql-server 5.7.36 Ready 3m51s
Autoscaling of ProxySQL Cluster
Here, we are going to deploy a ProxySQL Cluster using a supported version by KubeDB operator. Then we are going to apply ProxySQLAutoscaler to set up autoscaling.
Deploy ProxySQL Cluster
In this section, we are going to deploy a ProxySQL Cluster with version 2.3.2-debian. Then, in the next section we will set up autoscaling for this database using ProxySQLAutoscaler 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: 200m
memory: 300Mi
requests:
cpu: 200m
memory: 300Mi
Let’s create the ProxySQL CRO we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/autoscaler/compute/cluster/examples/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 4m
Let’s check the Pod containers resources,
$ kubectl get pod -n demo proxy-server-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "200m",
"memory": "300Mi"
},
"requests": {
"cpu": "200m",
"memory": "300Mi"
}
}
Let’s check the ProxySQL resources,
$ kubectl get proxysql -n demo proxy-server -o json | jq '.spec.podTemplate.spec.resources'
{
"limits": {
"cpu": "200m",
"memory": "300Mi"
},
"requests": {
"cpu": "200m",
"memory": "300Mi"
}
}
You can see from the above outputs that the resources are same as the one we have assigned while deploying the proxysql.
We are now ready to apply the ProxySQLAutoscaler CRO to set up autoscaling for this database.
Compute Resource Autoscaling
Here, we are going to set up compute resource autoscaling using a ProxySQLAutoscaler Object.
Create ProxySQLAutoscaler Object
In order to set up compute resource autoscaling for this proxysql cluster, we have to create a ProxySQLAutoscaler CRO with our desired configuration. Below is the YAML of the ProxySQLAutoscaler object that we are going to create,
apiVersion: autoscaling.kubedb.com/v1alpha1
kind: ProxySQLAutoscaler
metadata:
name: proxy-as-compute
namespace: demo
spec:
proxyRef:
name: proxy-server
opsRequestOptions:
timeout: 3m
apply: IfReady
compute:
proxysql:
trigger: "On"
podLifeTimeThreshold: 5m
resourceDiffPercentage: 20
minAllowed:
cpu: 250m
memory: 400Mi
maxAllowed:
cpu: 1
memory: 1Gi
containerControlledValues: "RequestsAndLimits"
controlledResources: ["cpu", "memory"]
Here,
spec.proxyRef.namespecifies that we are performing compute resource scaling operation onproxy-serverproxysql server.spec.compute.proxysql.triggerspecifies that compute autoscaling is enabled for this proxysql server.spec.compute.proxysql.podLifeTimeThresholdspecifies the minimum lifetime for at least one of the pod to initiate a vertical scaling.spec.compute.proxysql.resourceDiffPercentagespecifies the minimum resource difference in percentage. The default is 10%. If the difference between current & recommended resource is less than ResourceDiffPercentage, Autoscaler Operator will ignore the updating.spec.compute.proxysql.minAllowedspecifies the minimum allowed resources for the proxysql server.spec.compute.proxysql.maxAllowedspecifies the maximum allowed resources for the proxysql server.spec.compute.proxysql.controlledResourcesspecifies the resources that are controlled by the autoscaler.spec.compute.proxysql.containerControlledValuesspecifies which resource values should be controlled. The default is “RequestsAndLimits”.spec.opsRequestOptions.applyhas two supported value :IfReady&Always. UseIfReadyif you want to process the opsReq only when the proxysql server is Ready. And useAlwaysif you want to process the execution of opsReq irrespective of the proxysql server state.spec.opsRequestOptions.timeoutspecifies the maximum time for each step of the opsRequest(in seconds). If a step doesn’t finish within the specified timeout, the ops request will result in failure.
Let’s create the ProxySQLAutoscaler CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/guides/proxysql/autoscaler/compute/cluster/examples/proxy-as-compute.yaml
proxysqlautoscaler.autoscaling.kubedb.com/proxy-as-compute created
Verify Autoscaling is set up successfully
Let’s check that the proxysqlautoscaler resource is created successfully,
$ kubectl get proxysqlautoscaler -n demo
NAME AGE
proxy-as-compute 5m56s
$ kubectl describe proxysqlautoscaler proxy-as-compute -n demo
Name: proxy-as-compute
Namespace: demo
Labels: <none>
Annotations: <none>
API Version: autoscaling.kubedb.com/v1alpha1
Kind: ProxySQLAutoscaler
Metadata:
Creation Timestamp: 2022-09-16T11:26:58Z
Generation: 1
Managed Fields:
API Version: autoscaling.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:annotations:
.:
f:kubectl.kubernetes.io/last-applied-configuration:
f:spec:
.:
f:compute:
.:
f:proxysql:
.:
f:containerControlledValues:
f:controlledResources:
f:maxAllowed:
.:
f:cpu:
f:memory:
f:minAllowed:
.:
f:cpu:
f:memory:
f:podLifeTimeThreshold:
f:resourceDiffPercentage:
f:trigger:
f:databaseRef:
.:
f:name:
f:opsRequestOptions:
.:
f:apply:
f:timeout:
Manager: kubectl-client-side-apply
Operation: Update
Time: 2022-09-16T11:26:58Z
API Version: autoscaling.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:status:
.:
f:checkpoints:
f:conditions:
f:vpas:
Manager: kubedb-autoscaler
Operation: Update
Subresource: status
Time: 2022-09-16T11:27:07Z
Resource Version: 846645
UID: 44bd46c3-bbc5-4c4a-aff4-00c7f84c6f58
Spec:
Compute:
Proxysql:
Container Controlled Values: RequestsAndLimits
Controlled Resources:
cpu
memory
Max Allowed:
Cpu: 1
Memory: 1Gi
Min Allowed:
Cpu: 250m
Memory: 400Mi
Pod Life Time Threshold: 5m0s
Resource Diff Percentage: 20
Trigger: On
Proxy Ref:
Name: proxy-server
Ops Request Options:
Apply: IfReady
Timeout: 3m0s
Status:
Checkpoints:
Cpu Histogram:
Bucket Weights:
Index: 0
Weight: 10000
Index: 46
Weight: 555
Reference Timestamp: 2022-09-16T00:00:00Z
Total Weight: 2.648440345821337
First Sample Start: 2022-09-16T11:26:48Z
Last Sample Start: 2022-09-16T11:32:52Z
Last Update Time: 2022-09-16T11:33:02Z
Memory Histogram:
Bucket Weights:
Index: 1
Weight: 10000
Reference Timestamp: 2022-09-17T00:00:00Z
Total Weight: 1.391848625060675
Ref:
Container Name: md-coordinator
Vpa Object Name: proxy-server
Total Samples Count: 19
Version: v3
Cpu Histogram:
Bucket Weights:
Index: 0
Weight: 10000
Index: 3
Weight: 556
Reference Timestamp: 2022-09-16T00:00:00Z
Total Weight: 2.648440345821337
First Sample Start: 2022-09-16T11:26:48Z
Last Sample Start: 2022-09-16T11:32:52Z
Last Update Time: 2022-09-16T11:33:02Z
Memory Histogram:
Reference Timestamp: 2022-09-17T00:00:00Z
Ref:
Container Name: proxysql
Vpa Object Name: proxy-server
Total Samples Count: 19
Version: v3
Conditions:
Last Transition Time: 2022-09-16T11:27:07Z
Message: Successfully created proxySQLOpsRequest demo/prxops-proxy-server-6xc1kc
Observed Generation: 1
Reason: CreateOpsRequest
Status: True
Type: CreateOpsRequest
Vpas:
Conditions:
Last Transition Time: 2022-09-16T11:27:02Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: proxysql
Lower Bound:
Cpu: 250m
Memory: 400Mi
Target:
Cpu: 250m
Memory: 400Mi
Uncapped Target:
Cpu: 25m
Memory: 262144k
Upper Bound:
Cpu: 1
Memory: 1Gi
Vpa Name: proxy-server
Events: <none>
So, the proxysqlautoscaler resource is created successfully.
We can verify from the above output that status.vpas contains the RecommendationProvided condition to true. And in the same time, status.vpas.recommendation.containerRecommendations contain the actual generated recommendation.
Our autoscaler operator continuously watches the recommendation generated and creates an proxysqlopsrequest based on the recommendations, if the database pod resources are needed to scaled up or down.
Let’s watch the proxysqlopsrequest in the demo namespace to see if any proxysqlopsrequest object is created. After some time you’ll see that a proxysqlopsrequest will be created based on the recommendation.
$ kubectl get proxysqlopsrequest -n demo
NAME TYPE STATUS AGE
prxops-proxy-server-6xc1kc VerticalScaling Progressing 7s
Let’s wait for the ops request to become successful.
$ kubectl get proxysqlopsrequest -n demo
NAME TYPE STATUS AGE
prxops-vpa-proxy-server-z43wc8 VerticalScaling Successful 3m32s
We can see from the above output that the ProxySQLOpsRequest has succeeded. If we describe the ProxySQLOpsRequest we will get an overview of the steps that were followed to scale the proxysql server.
$ kubectl describe proxysqlopsrequest -n demo prxops-vpa-proxy-server-z43wc8
Name: prxops-proxy-server-6xc1kc
Namespace: demo
Labels: <none>
Annotations: <none>
API Version: ops.kubedb.com/v1alpha1
Kind: ProxySQLOpsRequest
Metadata:
Creation Timestamp: 2022-09-16T11:27:07Z
Generation: 1
Managed Fields:
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:ownerReferences:
.:
k:{"uid":"44bd46c3-bbc5-4c4a-aff4-00c7f84c6f58"}:
f:spec:
.:
f:apply:
f:databaseRef:
.:
f:name:
f:timeout:
f:type:
f:verticalScaling:
.:
f:proxysql:
.:
f:limits:
.:
f:cpu:
f:memory:
f:requests:
.:
f:cpu:
f:memory:
Manager: kubedb-autoscaler
Operation: Update
Time: 2022-09-16T11:27:07Z
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:status:
.:
f:conditions:
f:observedGeneration:
f:phase:
Manager: kubedb-ops-manager
Operation: Update
Subresource: status
Time: 2022-09-16T11:27:07Z
Owner References:
API Version: autoscaling.kubedb.com/v1alpha1
Block Owner Deletion: true
Controller: true
Kind: ProxySQLAutoscaler
Name: proxy-as-compute
UID: 44bd46c3-bbc5-4c4a-aff4-00c7f84c6f58
Resource Version: 846324
UID: c2b30107-c6d3-44bb-adf3-135edc5d615b
Spec:
Apply: IfReady
Database Ref:
Name: proxy-server
Timeout: 2m0s
Type: VerticalScaling
Vertical Scaling:
Proxysql:
Limits:
Cpu: 250m
Memory: 400Mi
Requests:
Cpu: 250m
Memory: 400Mi
Status:
Conditions:
Last Transition Time: 2022-09-16T11:27:07Z
Message: Controller has started to Progress the ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Observed Generation: 1
Reason: OpsRequestProgressingStarted
Status: True
Type: Progressing
Last Transition Time: 2022-09-16T11:30:42Z
Message: Successfully restarted ProxySQL pods for ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Observed Generation: 1
Reason: SuccessfullyRestatedStatefulSet
Status: True
Type: RestartStatefulSet
Last Transition Time: 2022-09-16T11:30:47Z
Message: Vertical scale successful for ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Observed Generation: 1
Reason: SuccessfullyPerformedVerticalScaling
Status: True
Type: VerticalScaling
Last Transition Time: 2022-09-16T11:30:47Z
Message: Controller has successfully scaled the ProxySQL demo/prxops-proxy-server-6xc1kc
Observed Generation: 1
Reason: OpsRequestProcessedSuccessfully
Status: True
Type: Successful
Observed Generation: 1
Phase: Successful
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Starting 8m48s KubeDB Enterprise Operator Start processing for ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Normal Starting 8m48s KubeDB Enterprise Operator Pausing ProxySQL databse: demo/proxy-server
Normal Successful 8m48s KubeDB Enterprise Operator Successfully paused ProxySQL database: demo/proxy-server for ProxySQLOpsRequest: prxops-proxy-server-6xc1kc
Normal Starting 8m43s KubeDB Enterprise Operator Restarting Pod: demo/proxy-server-0
Normal Starting 7m33s KubeDB Enterprise Operator Restarting Pod: demo/proxy-server-1
Normal Starting 6m23s KubeDB Enterprise Operator Restarting Pod: demo/proxy-server-2
Normal Successful 5m13s KubeDB Enterprise Operator Successfully restarted ProxySQL pods for ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Normal Successful 5m8s KubeDB Enterprise Operator Vertical scale successful for ProxySQLOpsRequest: demo/prxops-proxy-server-6xc1kc
Normal Starting 5m8s KubeDB Enterprise Operator Resuming ProxySQL database: demo/proxy-server
Normal Successful 5m8s KubeDB Enterprise Operator Successfully resumed ProxySQL database: demo/proxy-server
Normal Successful 5m8s KubeDB Enterprise Operator Controller has Successfully scaled the ProxySQL database: demo/proxy-server
Now, we are going to verify from the Pod, and the ProxySQL yaml whether the resources of the replicaset 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": "250m",
"memory": "400Mi"
},
"requests": {
"cpu": "250m",
"memory": "400Mi"
}
}
$ kubectl get proxysql -n demo proxy-server -o json | jq '.spec.podTemplate.spec.resources'
{
"limits": {
"cpu": "250m",
"memory": "400Mi"
},
"requests": {
"cpu": "250m",
"memory": "400Mi"
}
}
The above output verifies that we have successfully autoscaled the resources of the ProxySQL replicaset database.
Cleaning Up
To clean up the Kubernetes resources created by this tutorial, run:
kubectl delete proxysql -n demo proxy-server
kubectl delete proxysqlautoscaler -n demo proxy-as-compute
kubectl delete ns demo