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+# k8s 使用 cephfs 创建 Persistent Volume
+
+## 说明
+
+实验目的：
+- 验证在 k8s 使用 cephfs 创建 PersistentVolume
+- 文档来源于对 https://github.com/k8sp/k8s-tensorflow/issues/5#issuecomment-240069845 的整理
+
+实验基于:
+
+- cepfs 配置: [https://github.com/kubernetes/kubernetes/tree/master/examples/volumes/cephfs](https://github.com/kubernetes/kubernetes/tree/master/examples/volumes/cephfs)
+- Kernel 挂载方法: [https://github.com/k8sp/ceph/blob/master/mount-cephfs-on-linux-machine.md](https://github.com/k8sp/ceph/blob/master/mount-cephfs-on-linux-machine.md
+)
+
+下面是流程描述和注意事项
+
+## 准备工作
+
+正常运行的  ceph 集群:
+
+- monitors: 10.10.10.191:6789, 10.10.10.93:6789, 10.10.10.94:6789
+- ceph.admin.key: AQAlgLJXGCFfGxAAc5pcAlJ5QNteCSIsn35lqg==
+
+## 创建 ceph 的 PersistentVolume 和  PersistentVolumeClaim
+
+创建 ceph-pvc.yaml, 添加下面内容, 需要替换
+
+- key: 使用 Base64 加密过的字符串(使用命令 `echo -n "AQAlgLJXGCFfGxAAc5pcAlJ5QNteCSIsn35lqg==" | base64`)
+- monitors: 替换 ceph 集群中的 monitors 信息
+- path: 设置挂载 cephfs 中的 /exports 目录为根(ceph 中 /exports 需要提前创建)
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: ceph-secret
+data:
+  key: QVFBbGdMSlhHQ0ZmR3hBQWM1cGNBbEo1UU50ZUNTSXNuMzVscWc9PQ==
+---
+kind: PersistentVolume
+apiVersion: v1
+metadata:
+  name: tf-ceph
+  namespace: default
+spec:
+    capacity:
+        storage: 100Gi
+    accessModes:
+        - ReadWriteMany
+    cephfs:
+      monitors:
+      - 10.10.10.93:6789
+      - 10.10.10.94:6789
+      - 10.10.10.191:6789
+      user: admin
+      path: /exports
+      secretRef:
+        name: ceph-secret
+      readOnly: false
+---
+kind: PersistentVolumeClaim
+apiVersion: v1
+metadata:
+  name: tf-ceph
+  namespace: default
+spec:
+  accessModes:
+    - ReadWriteMany
+  resources:
+    requests:
+      storage: 100Gi
+```
+
+开始创建名为 tf-ceph 的 PersistentVolume 和 PersistentVolumeClaim
+
+```bash
+# 创建 ceph-pvc
+kubectl create -f ceph-pvc.yaml
+# 查看持久卷状态
+kubectl get pv,pvc
+```
+
+### 使用持久卷
+
+创建 load_data.yaml 文件
+
+```yaml
+apiVersion: batch/v1
+kind: Job
+metadata:
+  name: load-data
+spec:
+  template:
+    metadata:
+      name: load-data
+    spec:
+      restartPolicy: Never
+      containers:
+        - name: loader
+          image: 10.10.10.94:5000/liuqs/tensorflow:0.10.0-gpu
+          command:
+              - "/bin/sh"
+              - "-c"
+          args:
+            - "curl https://storage.googleapis.com/oscon-tf-workshop-materials/processed_reddit_data/news_aww/prepared_data.tar.gz | tar xzv -C /var/tensorflow/"
+          volumeMounts:
+            - name: tf-ceph
+              mountPath: /var/tensorflow
+      volumes:
+        - name: tf-ceph
+          persistentVolumeClaim:
+            claimName: tf-ceph
+```
+
+执行 load_data.yaml 任务
+
+```bash
+kubectl create -f load_data.yaml
+# 查看任务状态, 是否有报错, 直到正常运行
+kubectl describe pod load-data
+```
+
+通过上面的流程跑通了使用 cephfs 创建 PersistentVolume 和 PersistentVolumeClaim, 并能正确导入数据, 完成了 ceph 和 k8s 结合. tensorflow 或其他的 pod 只需要加入下面配置块, 就能正常挂载 ceph 了.
+- mountPath: 挂载到容器中的路径
+```yaml
+kind: Pod
+apiVersion: v1
+metadata:
+  name: mypod
+spec:
+  containers:
+    - name: test_ceph_volume
+      image: 10.10.10.94:5000/liuqs/tensorflow:0.10.0-gpu
+      volumeMounts:
+      - mountPath: "/var/tensorflow"
+        name:  tf-ceph
+  volumes:
+    - name:  tf-ceph
+      persistentVolumeClaim:
+        claimName:  tf-ceph
+```
+
+## 注意事项
+http://kubernetes.io/docs/user-guide/persistent-volumes/
+
+`
+Important! A volume can only be mounted using one access mode at a time, even if it supports many. For example, a GCEPersistentDisk can be mounted as ReadWriteOnce by a single node or ReadOnlyMany by many nodes, but not at the same time.
+`
+
+## References:
+* http://kubernetes.io/docs/user-guide/persistent-volumes/