# Examples ## Resource Interpreter This example installs a CustomResourceDefinition(CRD), `Workload` in the `karmada-apiserver`, and deploys a deployment `karmada-interpreter-webhook-example` in the Karmada host. ### Install ### Prerequisites For Karmada deploy using `hack/local-up-karmada.sh`, there are `karmada-host`, `karmada-apiserver` and three member clusters named `member1`, `member2` and `member3`. > Note: If you use other installation methods, please adapt your installation method proactively. In the current example, we will deploy `karmada-interpreter-webhook-example` in the Karmada control plane. Since it involves a cluster with Pull mode, the initiator of resource interpreter requests is in `karmada-agent`. Therefore, we create a Service of type `LoadBalancer` for `karmada-interpreter-webhook-example`. So we need to deploy MetalLB as a Load Balancer to expose the webhook. Please run the following script to deploy MetalLB. ```bash kubectl --context="karmada-host" get configmap kube-proxy -n kube-system -o yaml | \ sed -e "s/strictARP: false/strictARP: true/" | \ kubectl --context="karmada-host" apply -n kube-system -f - curl https://raw.githubusercontent.com/metallb/metallb/v0.13.5/config/manifests/metallb-native.yaml -k | \ sed '0,/args:/s//args:\n - --webhook-mode=disabled/' | \ sed '/apiVersion: admissionregistration/,$d' | \ kubectl --context="karmada-host" apply -f - export interpreter_webhook_example_service_external_ip_address=$(kubectl config view --template='{{range $_, $value := .clusters }}{{if eq $value.name "karmada-apiserver"}}{{$value.cluster.server}}{{end}}{{end}}' | \ awk -F/ '{print $3}' | \ sed 's/:.*//' | \ awk -F. '{printf "%s.%s.%s.8",$1,$2,$3}') cat < workload-crd-cpp.yaml ```yaml apiVersion: policy.karmada.io/v1alpha1 kind: ClusterPropagationPolicy metadata: name: workload-crd-cpp spec: resourceSelectors: - apiVersion: apiextensions.k8s.io/v1 kind: CustomResourceDefinition name: workloads.workload.example.io placement: clusterAffinity: clusterNames: - member1 - member2 - member3 ``` ```bash kubectl --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver apply -f workload-crd-cpp.yaml ``` #### Step2: Deploy webhook configuration in karmada-apiserver Execute below script:
webhook-configuration.sh ```bash #!/usr/bin/env bash export ca_string=$(cat ${HOME}/.karmada/ca.crt | base64 | tr "\n" " "|sed s/[[:space:]]//g) export temp_path=$(mktemp -d) export interpreter_webhook_example_service_external_ip_address=$(kubectl config view --template='{{range $_, $value := .clusters }}{{if eq $value.name "karmada-apiserver"}}{{$value.cluster.server}}{{end}}{{end}}' | \ awk -F/ '{print $3}' | \ sed 's/:.*//' | \ awk -F. '{printf "%s.%s.%s.8",$1,$2,$3}') cp -rf "examples/customresourceinterpreter/webhook-configuration.yaml" "${temp_path}/temp.yaml" sed -i'' -e "s/{{caBundle}}/${ca_string}/g" -e "s/{{karmada-interpreter-webhook-example-svc-address}}/${interpreter_webhook_example_service_external_ip_address}/g" "${temp_path}/temp.yaml" kubectl --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver apply -f "${temp_path}/temp.yaml" rm -rf "${temp_path}" ```
```bash chmod +x webhook-configuration.sh ./webhook-configuration.sh ``` #### Step3: Deploy karmada-interpreter-webhook-example in karmada-host ```bash kubectl --kubeconfig $HOME/.kube/karmada.config --context karmada-host apply -f examples/customresourceinterpreter/karmada-interpreter-webhook-example.yaml ``` > Note: karmada-interpreter-webhook-example is just a demo for testing and reference. If you plan to use the interpreter webhook, please implement specific components based on your business needs. In the current example, the interpreter webhook is deployed under the namespace `karmada-system`. If you are trying to deploy the interpreter webhook in a namespace other than the default karmada-system namespace, and use the domain address of Service in the URL. Such as (take the `test` namespace as an example): ```yaml apiVersion: config.karmada.io/v1alpha1 kind: ResourceInterpreterWebhookConfiguration metadata: name: examples webhooks: - name: workloads.example.com rules: - operations: [ "InterpretReplica","ReviseReplica","Retain","AggregateStatus", "InterpretHealth", "InterpretStatus", "InterpretDependency" ] apiGroups: [ "workload.example.io" ] apiVersions: [ "v1alpha1" ] kinds: [ "Workload" ] clientConfig: url: https://karmada-interpreter-webhook-example.test.svc.cluster.local:443/interpreter-workload # domain address here caBundle: {{caBundle}} interpreterContextVersions: [ "v1alpha1" ] timeoutSeconds: 3 ``` Please set the correct certificate and add the domain address to the CN field of the certificate. In the testing environment of Karmada, this is controlled in script `hack/deploy-karmada.sh`: https://github.com/karmada-io/karmada/blob/303f2cd24bf5d750c2391bb6699ac89d78b3c43f/hack/deploy-karmada.sh#L155 We recommend that you deploy the interpreter webhook component and Karmada control plane components in the same namespace. If you need to deploy them in different namespaces, please plan ahead when generating certificates. The relevant problem description has been recorded in [#4478](https://github.com/karmada-io/karmada/issues/4478), please refer to it. ### Usage Create a `Workload` resource and propagate it to the member clusters:
workload-interpret-test.yaml ```yaml apiVersion: workload.example.io/v1alpha1 kind: Workload metadata: name: nginx labels: app: nginx spec: replicas: 3 paused: false template: metadata: labels: app: nginx spec: containers: - image: nginx name: nginx --- apiVersion: policy.karmada.io/v1alpha1 kind: PropagationPolicy metadata: name: nginx-workload-propagation spec: resourceSelectors: - apiVersion: workload.example.io/v1alpha1 kind: Workload name: nginx placement: clusterAffinity: clusterNames: - member1 - member2 - member3 replicaScheduling: replicaDivisionPreference: Weighted replicaSchedulingType: Divided weightPreference: staticWeightList: - targetCluster: clusterNames: - member1 weight: 1 - targetCluster: clusterNames: - member2 weight: 1 - targetCluster: clusterNames: - member3 weight: 1 ```
```bash kubectl --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver apply -f workload-interpret-test.yaml ``` #### InterpretReplica You can get `ResourceBinding` to check if the `replicas` field is interpreted successfully. ```bash kubectl get rb nginx-workload -o yaml ``` #### ReviseReplica You can check if the replicas field of `Workload` object is revised to 1 in all member clusters. ```bash kubectl --kubeconfig $HOME/.kube/members.config --context member1 get workload nginx --template={{.spec.replicas}} ``` #### Retain Update `spec.paused` of `Workload` object in member1 cluster to `true`. ```bash kubectl --kubeconfig $HOME/.kube/members.config --context member1 patch workload nginx --type='json' -p='[{"op": "replace", "path": "/spec/paused", "value":true}]' ``` Check if it is retained successfully. ```bash kubectl --kubeconfig $HOME/.kube/members.config --context member1 get workload nginx --template={{.spec.paused}} ``` #### InterpretStatus There is no `Workload` controller deployed on member clusters, so in order to simulate the `Workload` CR handling, we will manually update `status.readyReplicas` of `Workload` object in member1 cluster to 1. ```bash kubectl proxy --port=8001 & curl http://127.0.0.1:8001/apis/workload.example.io/v1alpha1/namespaces/default/workloads/nginx/status -XPATCH -d'{"status":{"readyReplicas": 1}}' -H "Content-Type: application/merge-patch+json ``` Then you can get `ResourceBinding` to check if the `status.aggregatedStatus[x].status` field is interpreted successfully. ```bash kubectl get rb nginx-workload --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver -o yaml ``` You can also check the `status.manifestStatuses[x].status` field of Karmada `Work` object in namespace karmada-es-member1. #### InterpretHealth You can get `ResourceBinding` to check if the `status.aggregatedStatus[x].health` field is interpreted successfully. ```bash kubectl get rb nginx-workload --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver -o yaml ``` You can also check the `status.manifestStatuses[x].health` field of Karmada `Work` object in namespace karmada-es-member1. #### AggregateStatus You can check if the `status` field of `Workload` object is aggregated correctly. ```bash kubectl get workload nginx --kubeconfig $HOME/.kube/karmada.config --context karmada-apiserver -o yaml ``` > Note: If you want to use `Retain`/`InterpretStatus`/`InterpretHealth` function in Pull mode cluster, you need to deploy karmada-interpreter-webhook-example in the Pull mode cluster.