扫二维码与项目经理沟通
我们在微信上24小时期待你的声音
解答本文疑问/技术咨询/运营咨询/技术建议/互联网交流
这篇文章主要介绍了kubernetes CRD开发的示例分析,具有一定借鉴价值,感兴趣的朋友可以参考下,希望大家阅读完这篇文章之后大有收获,下面让小编带着大家一起了解一下。
成都创新互联公司-专业网站定制、快速模板网站建设、高性价比南安网站开发、企业建站全套包干低至880元,成熟完善的模板库,直接使用。一站式南安网站制作公司更省心,省钱,快速模板网站建设找我们,业务覆盖南安地区。费用合理售后完善,十载实体公司更值得信赖。
kubebuilder能帮我们节省大量工作,让开发CRD和adminsion webhook变得异常简单。
通过源码安装:
git clone https://github.com/kubernetes-sigs/kubebuilder cd kubebuilder make build cp bin/kubebuilder $GOPATH/bin
或者下载二进制:
os=$(go env GOOS) arch=$(go env GOARCH) # download kubebuilder and extract it to tmp curl -sL https://go.kubebuilder.io/dl/2.0.0-beta.0/${os}/${arch} | tar -xz -C /tmp/ # move to a long-term location and put it on your path # (you'll need to set the KUBEBUILDER_ASSETS env var if you put it somewhere else) sudo mv /tmp/kubebuilder_2.0.0-beta.0_${os}_${arch} /usr/local/kubebuilder export PATH=$PATH:/usr/local/kubebuilder/bin
还需要装下kustomize 这可是个渲染yaml的神器,让helm颤抖。
go install sigs.k8s.io/kustomize/v3/cmd/kustomize
注意你得先有个kubernetes集群,一步安装走你
创建CRD
kubebuilder init --domain sealyun.com --license apache2 --owner "fanux" kubebuilder create api --group infra --version v1 --kind VirtulMachine
安装CRD并启动controller
make install # 安装CRD make run # 启动controller
然后我们就可以看到创建的CRD了
# kubectl get crd NAME AGE virtulmachines.infra.sealyun.com 52m
来创建一个虚拟机:
# kubectl apply -f config/samples/ # kubectl get virtulmachines.infra.sealyun.com NAME AGE virtulmachine-sample 49m
看一眼yaml文件:
# cat config/samples/infra_v1_virtulmachine.yaml apiVersion: infra.sealyun.com/v1 kind: VirtulMachine metadata: name: virtulmachine-sample spec: # Add fields here foo: bar
这里仅仅是把yaml存到etcd里了,我们controller监听到创建事件时啥事也没干。
把controller部署到集群中
make docker-build docker-push IMG=fanux/infra-controller make deploy
我是连的远端的kubenetes, make docker-build时test过不去,没有etcd的bin文件,所以先把test关了。
修改Makefile:
# docker-build: test docker-build:
Dockerfile里的gcr.io/distroless/static:latest
这个镜像你也可能拉不下来,随意改改就行,我改成了golang:1.12.7
也有可能构建时有些代码拉不下来,启用一下go mod vendor 把依赖打包进去
go mod vendor 如果你本地有些代码拉不下来,可以用proxy:
export GOPROXY=https://goproxy.io
再改下Dockerfile, 注释掉download:
修改后:
# Build the manager binary FROM golang:1.12.7 as builder WORKDIR /go/src/github.com/fanux/sealvm # Copy the Go Modules manifests COPY . . # Build RUN CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -o manager main.go # Use distroless as minimal base image to package the manager binary # Refer to https://github.com/GoogleContainerTools/distroless for more details # FROM gcr.io/distroless/static:latest FROM golang:1.12.7 WORKDIR / COPY --from=builder /go/src/github.com/fanux/sealvm/manager . ENTRYPOINT ["/manager"]
make deploy
时报错: Error: json: cannot unmarshal string into Go struct field Kustomization.patches of type types.Patch
把 config/default/kustomization.yaml
中的 patches:
改成 patchesStrategicMerge:
即可
kustomize build config/default
这个命令就渲染出了controller的yaml文件,可以体验下
看 你的controller已经跑起来了:
kubectl get deploy -n sealvm-system NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE sealvm-controller-manager 1 1 1 0 3m kubectl get svc -n sealvm-system NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE sealvm-controller-manager-metrics-service ClusterIP 10.98.71.1998443/TCP 4m
看下config/samples下面的yaml文件:
apiVersion: infra.sealyun.com/v1 kind: VirtulMachine metadata: name: virtulmachine-sample spec: # Add fields here foo: bar
这里参数里有foo:bar
, 那我们来加个虚拟CPU,内存信息:
直接api/v1/virtulmachine_types.go
即可
// VirtulMachineSpec defines the desired state of VirtulMachine // 在这里加信息 type VirtulMachineSpec struct { // INSERT ADDITIONAL SPEC FIELDS - desired state of cluster // Important: Run "make" to regenerate code after modifying this file CPU string `json:"cpu"` // 这是我增加的 Memory string `json:"memory"` } // VirtulMachineStatus defines the observed state of VirtulMachine // 在这里加状态信息,比如虚拟机是启动状态,停止状态啥的 type VirtulMachineStatus struct { // INSERT ADDITIONAL STATUS FIELD - define observed state of cluster // Important: Run "make" to regenerate code after modifying this file }
然后make一下:
make && make install && make run
这时再去渲染一下controller的yaml就会发现CRD中已经带上CPU和内存信息了:
kustomize build config/default
properties: cpu: description: 'INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file' type: string memory: type: string
修改一下yaml:
apiVersion: infra.sealyun.com/v1 kind: VirtulMachine metadata: name: virtulmachine-sample spec: cpu: "1" memory: "2G"
# kubectl apply -f config/samples virtulmachine.infra.sealyun.com "virtulmachine-sample" configured # kubectl get virtulmachines.infra.sealyun.com virtulmachine-sample -o yaml apiVersion: infra.sealyun.com/v1 kind: VirtulMachine metadata: annotations: kubectl.kubernetes.io/last-applied-configuration: | {"apiVersion":"infra.sealyun.com/v1","kind":"VirtulMachine","metadata":{"annotations":{},"name":"virtulmachine-sample","namespace":"default"},"spec":{"cpu":"1","memory":"2G"}} creationTimestamp: 2019-07-26T08:47:34Z generation: 2 name: virtulmachine-sample namespace: default resourceVersion: "14811698" selfLink: /apis/infra.sealyun.com/v1/namespaces/default/virtulmachines/virtulmachine-sample uid: 030e2b9a-af82-11e9-b63e-5254bc16e436 spec: # 新的CRD已生效 cpu: "1" memory: 2G
Status 同理,就不再赘述了,比如我把status里加一个Create, 表示controller要去创建虚拟机了(主要一些控制层面的逻辑),创建完了把状态改成Running
controller把轮训与事件监听都封装在这一个接口里了.你不需要关心怎么事件监听的.
func (r *VirtulMachineReconciler) Reconcile(req ctrl.Request) (ctrl.Result, error) { ctx = context.Background() _ = r.Log.WithValues("virtulmachine", req.NamespacedName) vm := &v1.VirtulMachine{} if err := r.Get(ctx, req.NamespacedName, vm); err != nil { # 获取VM信息 log.Error(err, "unable to fetch vm") } else { fmt.Println(vm.Spec.CPU, vm.Spec.Memory) # 打印CPU内存信息 } return ctrl.Result{}, nil }
make && make install && make run
这个时候去创建一个虚拟机kubectl apply -f config/samples
,日志里就会输出CPU内存了. List接口同理,我就不赘述了
r.List(ctx, &vms, client.InNamespace(req.Namespace), client.MatchingField(vmkey, req.Name))
在status结构体中加入状态字段:
type VirtulMachineStatus struct { Status string `json:"status"` }
controller里去更新状态:
vm.Status.Status = "Running" if err := r.Status().Update(ctx, vm); err != nil { log.Error(err, "unable to update vm status") }
如果出现:the server could not find the requested resource
这个错误,那么在CRD结构体上需要加个注释 // +kubebuilder:subresource:status
:
// +kubebuilder:subresource:status // +kubebuilder:object:root=true type VirtulMachine struct { metav1.TypeMeta `json:",inline"` metav1.ObjectMeta `json:"metadata,omitempty"` Spec VirtulMachineSpec `json:"spec,omitempty"` Status VirtulMachineStatus `json:"status,omitempty"` }
这样就好了
编译启动后再去apply发现状态已经变成running:
# kubectl get virtulmachines.infra.sealyun.com virtulmachine-sample -o yaml ... status: status: Running
time.Sleep(time.Second * 10) if err := r.Delete(ctx, vm); err != nil { log.Error(err, "unable to delete vm ", "vm", vm) }
10s之后我们将GET不到
如果不使用Finalizers,kubectl delete 时直接就删了etcd数据,controller再想去拿CRD时已经拿不到了:
ERRO[0029] VirtulMachine.infra.sealyun.com "virtulmachine-sample" not foundunable to fetch vm source="virtulmachine_controller.go:48"
所以在创建时我们需要给CRD加上Finalizer:
vm.ObjectMeta.Finalizers = append(vm.ObjectMeta.Finalizers, "virtulmachine.infra.sealyun.com")
然后删除时就只会给CRD打上一个删除时间戳,供我们做后续处理, 处理完了我们删除掉Finalizers:
如果 DeleteionTimestamp不存在 如果没有Finalizers 加上Finalizers,并更新CRD 要不然,说明是要被删除的 如果存在Finalizers,删除Finalizers,并更新CRD
看个完整的代码示例:
if cronJob.ObjectMeta.DeletionTimestamp.IsZero() { if !containsString(cronJob.ObjectMeta.Finalizers, myFinalizerName) { cronJob.ObjectMeta.Finalizers = append(cronJob.ObjectMeta.Finalizers, myFinalizerName) if err := r.Update(context.Background(), cronJob); err != nil { return ctrl.Result{}, err } } } else { if containsString(cronJob.ObjectMeta.Finalizers, myFinalizerName) { if err := r.deleteExternalResources(cronJob); err != nil { return ctrl.Result{}, err } cronJob.ObjectMeta.Finalizers = removeString(cronJob.ObjectMeta.Finalizers, myFinalizerName) if err := r.Update(context.Background(), cronJob); err != nil { return ctrl.Result{}, err } } }
假设我们A依赖B而B又后创建,那么在处理A CRD时直接返回失败即可,这样很快会重试
kuberentes有三种webhook,admission webhook, authorization webhook and CRD conversion webhook.
这里比如我们要给CRD设置一些默认值,又或者是用户创建时少填了一些参数,那么我们得禁止创建等等这些事。
使用webhook也非常的简单,只需给定义的结构体实现 Defaulter
和 Validator
接口即可.
Reconcile结构体聚合了Client接口,所以client的所有方法都是可以直接调用,大部分是对CRD object的相关操作
type Client interface { Reader Writer StatusClient }
// Reader knows how to read and list Kubernetes objects. type Reader interface { // Get retrieves an obj for the given object key from the Kubernetes Cluster. // obj must be a struct pointer so that obj can be updated with the response // returned by the Server. Get(ctx context.Context, key ObjectKey, obj runtime.Object) error // List retrieves list of objects for a given namespace and list options. On a // successful call, Items field in the list will be populated with the // result returned from the server. List(ctx context.Context, list runtime.Object, opts ...ListOptionFunc) error } // Writer knows how to create, delete, and update Kubernetes objects. type Writer interface { // Create saves the object obj in the Kubernetes cluster. Create(ctx context.Context, obj runtime.Object, opts ...CreateOptionFunc) error // Delete deletes the given obj from Kubernetes cluster. Delete(ctx context.Context, obj runtime.Object, opts ...DeleteOptionFunc) error // Update updates the given obj in the Kubernetes cluster. obj must be a // struct pointer so that obj can be updated with the content returned by the Server. Update(ctx context.Context, obj runtime.Object, opts ...UpdateOptionFunc) error // Patch patches the given obj in the Kubernetes cluster. obj must be a // struct pointer so that obj can be updated with the content returned by the Server. Patch(ctx context.Context, obj runtime.Object, patch Patch, opts ...PatchOptionFunc) error } // StatusClient knows how to create a client which can update status subresource // for kubernetes objects. type StatusClient interface { Status() StatusWriter }
感谢你能够认真阅读完这篇文章,希望小编分享的“kubernetes CRD开发的示例分析”这篇文章对大家有帮助,同时也希望大家多多支持创新互联,关注创新互联行业资讯频道,更多相关知识等着你来学习!
我们在微信上24小时期待你的声音
解答本文疑问/技术咨询/运营咨询/技术建议/互联网交流