/cubefs-csi

CubeFS Container Storage Interface (CSI) plugins.

Primary LanguageGoApache License 2.0Apache-2.0

Build Status

CubeFS CSI Driver

Overview

CubeFS Container Storage Interface (CSI) plugins.

Governance

  • CSI is a sub-project of the CubeFS main project, complying with the rules of CubeFS main projects.
  • CSI does not have independent leadership, adopting the same leadership strategy as the CubeFS main project.
  • Contributions to CSI are equivalent to contributions to the main project and can be used as a basis for community role promotion.

Prerequisite

  • Kubernetes 1.16.0
  • CSI spec version 1.1.0

Prepare on-premise CubeFS cluster

An on-premise CubeFS cluster can be deployed separately, or within the same Kubernetes cluster as applications which require persistent volumes. Please refer to cubefs-helm for more details on deployment using Helm.

Deploy

CSI supports deploy with helm as well as using raw YAML files.

Though, the first step of these two methods are label the node:

Add labels to Kubernetes node

You should tag each Kubernetes node with the appropriate labels accorindly for CSI node of CubeFS. deploy/csi-controller-deployment.yaml and deploy/csi-node-daemonset.yaml have nodeSelector element, so you should add a label for nodes. If you want using CubeFS CSI in whole kubernetes cluster, you can delete nodeSelector element.

kubectl label node <nodename> component.cubefs.io/csi=enabled

Direct Raw Files Deployment

Deploy the CSI driver

$ kubectl apply -f deploy/csi-rbac.yaml
$ kubectl apply -f deploy/csi-controller-deployment.yaml
$ kubectl apply -f deploy/csi-node-daemonset.yaml

Notes: If your kubernetes cluster alter the kubelet path /var/lib/kubelet to other path(such as: /data1/k8s/lib/kubelet), you must execute the following commands to update the path:

sed -i 's#/var/lib/kubelet#/data1/k8s/lib/kubelet#g' deploy/csi-controller-deployment.yaml

sed -i 's#/var/lib/kubelet#/data1/k8s/lib/kubelet#g' deploy/csi-node-daemonset.yaml

Use Remote CubeFS Cluster as backend storage

There is only 3 steps before finally using remote CubeFS cluster as file system

  1. Create StorageClass
  2. Create PVC (Persistent Volume Claim)
  3. Reference PVC in a Pod

Create StorageClass

An example storage class yaml file is shown below.

kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
  name: cfs-sc
provisioner: csi.cubefs.com
reclaimPolicy: Delete
parameters:
  masterAddr: "master-service.cubefs.svc.cluster.local:17010"
  consulAddr: "http://consul-service.cubefs.svc.cluster.local:8500"
  owner: "csiuser"
  logLevel: "debug"

Creating command.

$ kubectl create -f deploy/storageclass.yaml

Helm Deployment

Download the CubeFS-Helm project

git clone https://github.com/cubefs/cubefs-helm
cd cubefs-helm

Edit the values file

Create a values file, and edit it as below:

vi ~/cubefs.yaml

component:
  master: false
  datanode: false
  metanode: false
  objectnode: false
  client: false
  csi: true
  monitor: false
  ingress: false

image:
  # CSI related images
  csi_driver: ghcr.io/cubefs/cfs-csi-driver:3.2.0.150.0
  csi_provisioner: registry.k8s.io/sig-storage/csi-provisioner:v2.2.2
  csi_attacher: registry.k8s.io/sig-storage/csi-attacher:v3.4.0
  csi_resizer: registry.k8s.io/sig-storage/csi-resizer:v1.3.0
  driver_registrar: registry.k8s.io/sig-storage/csi-node-driver-registrar:v2.5.0

csi:
  driverName: csi.cubefs.com
  logLevel: error
  # If you changed the default kubelet home path, this
  # value needs to be modified accordingly
  kubeletPath: /var/lib/kubelet
  controller:
    tolerations: [ ]
    nodeSelector:
      "component.cubefs.io/csi": "enabled"
  node:
    tolerations: [ ]
    nodeSelector:
      "component.cubefs.io/csi": "enabled"
    resources:
      enabled: false
      requests:
        memory: "4048Mi"
        cpu: "2000m"
      limits:
        memory: "4048Mi"
        cpu: "2000m"
  storageClass:
    # Whether automatically set this StorageClass to default volume provisioner
    setToDefault: true
    # StorageClass reclaim policy, 'Delete' or 'Retain' is supported
    reclaimPolicy: "Delete"
    # Override the master address parameter to connect to external cluster, if the cluster is deployed
    # in the same k8s cluster, it can be omitted.
    masterAddr: ""
    otherParameters:

Install

helm upgrade --install cubefs ./cubefs -f ~/cubefs.yaml -n cubefs --create-namespace

Verify

After we installed the CSI, we can create a PVC and mount it inside a Pod to verify if everything all right.

Create PVC

An example pvc yaml file is shown below.

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: cfs-pvc
spec:
  accessModes:
  - ReadWriteMany
  volumeMode: Filesystem
  resources:
    requests:
      storage: 5Gi
  storageClassName: cfs-sc
$ kubectl create -f example/pvc.yaml

The field storageClassName refers to the StorageClass we already created.

Use PVC in a Pod

The example deployment.yaml looks like below.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: cfs-csi-demo
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: cfs-csi-demo-pod
  template:
    metadata:
      labels:
        app: cfs-csi-demo-pod
    spec:
      containers:
        - name: cubefs-csi-demo
          image: nginx:1.17.9
          imagePullPolicy: "IfNotPresent"
          ports:
            - containerPort: 80
              name: "http-server"
          volumeMounts:
            - mountPath: "/usr/share/nginx/html"
              name: mypvc
      volumes:
        - name: mypvc
          persistentVolumeClaim:
            claimName: cfs-pvc

The field claimName refers to the PVC created before.

$ kubectl create -f examples/deployment.yaml