Update translation of file run-single-instance-stateful-application.md (#14979)
* update sample code in run-single-instance-stateful-application.md * Update translation * fix * Update document format * fix code style * fix yaml format
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Kubernetes Prow Robot
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@@ -23,55 +23,35 @@ content_template: templates/tutorial
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* {{< include "task-tutorial-prereqs.md" >}} {{< version-check >}}
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* 为了数据持久性我们将在环境上通过磁盘创建一个持久卷. 环境支持的类型见这里[here](/docs/user-guide/persistent-volumes/#types-of-persistent-volumes). 本篇文档将介绍 `GCEPersistentDisk` . `GCEPersistentDisk`卷只能工作在Google Compute Engine平台上.
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* {{< include "default-storage-class-prereqs.md" >}}
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{{% /capture %}}
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{{% capture lessoncontent %}}
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## 在环境中设置一个磁盘
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你可以为有状态的应用使用任何类型的持久卷. 有关支持环境的磁盘列表，请参考持久卷类型[Types of Persistent Volumes](/docs/user-guide/persistent-volumes/#types-of-persistent-volumes). 对于Google Compute Engine, 请运行:
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```
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gcloud compute disks create --size=20GB mysql-disk
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```
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接下来创建一个指向刚创建的 `mysql-disk`磁盘的PersistentVolume. 下面是一个PersistentVolume的配置文件，它指向上面创建的Compute Engine磁盘:
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{{< code file="gce-volume.yaml" >}}
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注意`pdName: mysql-disk` 这行与Compute Engine环境中的磁盘名称相匹配. 有关为其
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他环境编写PersistentVolume配置文件的详细信息，请参见持久卷[Persistent Volumes](/docs/concepts/storage/persistent-volumes/).
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创建持久卷:
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```
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kubectl create -f https://k8s.io/docs/tasks/run-application/gce-volume.yaml
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```
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## 部署 MySQL
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通过创建 Kubernetes Deployment 并使用 PersistentVolumeClaim 将其连接到现已存在的 PersistentVolume 上来运行一个有状态的应用. 例如, 下面这个 YAML 文件描述了一个运行 MySQL
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并引用PersistentVolumeClaim的Deployment. 该文件定义了一个volume其挂载目录为/var/lib/mysql, 然后创建一个内存为20G的卷的PersistentVolumeClaim. 此申领可以通过任
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何符合需求的卷来满足, 在本例中满足上面创建的卷.
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并引用 PersistentVolumeClaim 的 Deployment. 该文件定义了一个 volume 其挂载目录为 `/var/lib/mysql`, 然后创建一个大小为 20G 的卷的 PersistentVolumeClaim. 此申领可以通过任
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何符合需求的已有卷来满足, 或者被动态分配.
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注意: 在配置的 yaml 文件中定义密码的做法是不安全的. 具体安全解决方案请参考
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[Kubernetes Secrets](/docs/concepts/configuration/secret/).
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{{< code file="mysql-deployment.yaml" >}}
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{{< codenew file="application/mysql/mysql-deployment.yaml" >}}
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{{< codenew file="application/mysql/mysql-pv.yaml" >}}
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1. 部署 YAML 文件中定义的 PV 和 PVC:
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kubectl apply -f https://k8s.io/examples/application/mysql/mysql-pv.yaml
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1. 部署 YAML 文件中定义的内容:
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kubectl create -f https://k8s.io/docs/tasks/run-application/mysql-deployment.yaml
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kubectl apply -f https://k8s.io/examples/application/mysql/mysql-deployment.yaml
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1. 展示 Deployment 相关信息:
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@@ -121,41 +101,21 @@ kubectl create -f https://k8s.io/docs/tasks/run-application/gce-volume.yaml
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NAME READY STATUS RESTARTS AGE
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mysql-63082529-2z3ki 1/1 Running 0 3m
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1. 查看持久卷:
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kubectl describe pv mysql-pv
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Name: mysql-pv
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Labels: <none>
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Status: Bound
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Claim: default/mysql-pv-claim
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Reclaim Policy: Retain
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Access Modes: RWO
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Capacity: 20Gi
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Message:
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Source:
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Type: GCEPersistentDisk (a Persistent Disk resource in Google Compute Engine)
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PDName: mysql-disk
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FSType: ext4
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Partition: 0
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ReadOnly: false
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No events.
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1. 查看 PersistentVolumeClaim:
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kubectl describe pvc mysql-pv-claim
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Name: mysql-pv-claim
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Namespace: default
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StorageClass:
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Status: Bound
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Volume: mysql-pv
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Volume: mysql-pv-volume
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Labels: <none>
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Annotations: pv.kubernetes.io/bind-completed=yes
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pv.kubernetes.io/bound-by-controller=yes
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Capacity: 20Gi
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Access Modes: RWO
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No events.
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Events: <none>
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## 访问 MySQL 实例
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@@ -168,10 +128,10 @@ kubectl create -f https://k8s.io/docs/tasks/run-application/gce-volume.yaml
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运行 MySQL 客户端以连接到服务器:
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```
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kubectl run -it --rm --image=mysql:5.6 mysql-client -- mysql -h <pod-ip> -p <password>
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kubectl run -it --rm --image=mysql:5.6 --restart=Never mysql-client -- mysql -h mysql -ppassword
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```
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此命令在集群内创建一个新的Pod并运行MySQL客户端,并通过服务将其连接到服务器.如果连接成功,你就知道有状态的MySQL database正处于运行状态.
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此命令在集群内创建一个新的 Pod 并运行 MySQL 客户端,并通过 Service 将其连接到服务器.如果连接成功,你就知道有状态的 MySQL 数据库正处于运行状态.
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```
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Waiting for pod default/mysql-client-274442439-zyp6i to be running, status is Pending, pod ready: false
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@@ -192,7 +152,7 @@ Deployment中镜像或其他部分同往常一样可以通过 `kubectl apply`
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创建一个新的 pod 前 `Recreate` 策略将先停止第一个 pod.
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## 删除deployment
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## 删除 Deployment
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通过名称删除部署的对象:
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@@ -200,14 +160,11 @@ Deployment中镜像或其他部分同往常一样可以通过 `kubectl apply`
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```
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kubectl delete deployment,svc mysql
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kubectl delete pvc mysql-pv-claim
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kubectl delete pv mysql-pv
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kubectl delete pv mysql-pv-volume
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```
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如果使用Compute Engine磁盘，也可以使用如下命令:
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```
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gcloud compute disks delete mysql-disk
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```
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如果通过手动的方式分配 PersistentVolume, 那么也需要手动的删除它，以及释放下层资源.
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如果是用过动态分配 PersistentVolume 的方式，在删除 PersistentVolumeClaim 后 PersistentVolume 将被自动的删除. 一些存储服务(比如 EBS 和 PD)也会在 PersistentVolume 被删除时自动回收下层资源.
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{{% /capture %}}
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@@ -218,9 +175,9 @@ gcloud compute disks delete mysql-disk
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* 了解更多 Deployment 应用请参考 [Deploying applications](/docs/user-guide/deploying-applications/)
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* kubectl run文档请参考[kubectl run documentation](/docs/user-guide/kubectl/v1.6/#run)
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* kubectl run 文档请参考[kubectl run documentation](/docs/reference/generated/kubectl/kubectl-commands/#run)
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* 卷和持久卷请参考[Volumes](/docs/concepts/storage/volumes/) and [Persistent Volumes](/docs/concepts/storage/persistent-volumes/)
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* 卷和持久卷请参考 [Volumes](/docs/concepts/storage/volumes/) 和 [Persistent Volumes](/docs/concepts/storage/persistent-volumes/)
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{{% /capture %}}
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