使用rook搭建存储集群
rook是云原生的存储协调器,为各种存储提供解决方案,提供自我管理,自我扩展,自我修复的存储服务,在kubernetes中实际实现是operator方式.
在rook 0.9版本中,Ceph已经是beta支持状态了.
Ceph是一种高度可扩展的分布式存储解决方案,适用于具有多年生产部署的块存储,对象存储和共享文件系统.
安装
rook提供了operator的方式来处理ceph存储的安装,所以此处安装使用helm来安装rook
helm repo add rook-stable https://charts.rook.io/stable
helm install --namespace rook-ceph-system rook-stable/rook-ceph
ceph集群
安装了rook后,还需要在rook中声明CRD来建立ceph集群
cluster.yaml
apiVersion: v1
kind: Namespace
metadata:
name: rook-ceph
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: rook-ceph-osd
namespace: rook-ceph
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: rook-ceph-mgr
namespace: rook-ceph
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-osd
namespace: rook-ceph
rules:
- apiGroups: [""]
resources: ["configmaps"]
verbs: [ "get", "list", "watch", "create", "update", "delete" ]
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-mgr-system
namespace: rook-ceph
rules:
- apiGroups:
- ""
resources:
- configmaps
verbs:
- get
- list
- watch
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-mgr
namespace: rook-ceph
rules:
- apiGroups:
- ""
resources:
- pods
- services
verbs:
- get
- list
- watch
- apiGroups:
- batch
resources:
- jobs
verbs:
- get
- list
- watch
- create
- update
- delete
- apiGroups:
- ceph.rook.io
resources:
- "*"
verbs:
- "*"
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-cluster-mgmt
namespace: rook-ceph
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: rook-ceph-cluster-mgmt
subjects:
- kind: ServiceAccount
name: rook-ceph-system
namespace: rook-ceph-system #注意,这里一定要授权给rook的namespace中的account
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-osd
namespace: rook-ceph
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: rook-ceph-osd
subjects:
- kind: ServiceAccount
name: rook-ceph-osd
namespace: rook-ceph
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-mgr
namespace: rook-ceph
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: rook-ceph-mgr
subjects:
- kind: ServiceAccount
name: rook-ceph-mgr
namespace: rook-ceph
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-mgr-system
namespace: rook-ceph-system #注意,这里是绑定rook系统的role到rook-ceph系统中
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: rook-ceph-mgr-system
subjects:
- kind: ServiceAccount
name: rook-ceph-mgr
namespace: rook-ceph
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: rook-ceph-mgr-cluster
namespace: rook-ceph
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: rook-ceph-mgr-cluster
subjects:
- kind: ServiceAccount
name: rook-ceph-mgr
namespace: rook-ceph
---
apiVersion: ceph.rook.io/v1
kind: CephCluster
metadata:
name: rook-ceph
namespace: rook-ceph
spec:
cephVersion:
image: ceph/ceph:v13.2.4-20190315
dataDirHostPath: /var/lib/rook
dashboard:
enabled: true
mon:
count: 3
allowMultiplePerNode: true
storage:
useAllNodes: true
useAllDevices: false
config:
databaseSizeMB: "1024"
journalSizeMB: "1024"
注意: rolebinding 需要注意有一些地方是和之前使用helm安装的时候的namespace中的资源绑定
ceph的image 可以通过https://hub.docker.com/r/ceph/ceph/tags 查看
安装dashboard
在上一步的安装命令中如果启用了dashboard,则可以看到以下service
$ kubectl -n rook-ceph get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
rook-ceph-mgr ClusterIP 10.108.111.192 <none> 9283/TCP 3h
rook-ceph-mgr-dashboard ClusterIP 10.110.113.240 <none> 8443/TCP 3h
dashboard默认的登录名称为admin
,默认密码需要查看secret rook-ceph-dashboard-password
,并使用base64解析出来:
$ kubectl -n rook-ceph get secret rook-ceph-dashboard-password -o yaml | grep "password:" | awk '{print $2}' | base64 --decode
3UWLhC0FIK
如果想将dashboard暴露到外部,可以通过自定义service的方式,操作如下:
dashboard-ext.yaml
apiVersion: v1
kind: Service
metadata:
name: rook-ceph-mgr-dashboard-external-https
namespace: rook-ceph
labels:
app: rook-ceph-mgr
rook_cluster: rook-ceph
spec:
ports:
- name: dashboard
port: 8443
protocol: TCP
targetPort: 8443
selector:
app: rook-ceph-mgr
rook_cluster: rook-ceph
sessionAffinity: None
type: NodePort
$ kubectl create -f dashboard-ext.yaml
$ kubectl -n rook-ceph get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
rook-ceph-mgr ClusterIP 10.108.111.192 <none> 9283/TCP 4h
rook-ceph-mgr-dashboard ClusterIP 10.110.113.240 <none> 8443/TCP 4h
rook-ceph-mgr-dashboard-external-https NodePort 10.101.209.6 <none> 8443:31176/TCP 4h
创建块存储
storageclass.yaml
apiVersion: ceph.rook.io/v1
kind: CephBlockPool
metadata:
name: replicapool
namespace: rook-ceph
spec:
failureDomain: host
replicated:
size: 3
创建storageclass
storageclass.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: rook-ceph-block
provisioner: ceph.rook.io/block
parameters:
blockPool: replicapool
clusterNamespace: rook-ceph
fstype: xfs
reclaimPolicy: Retain
ElasticSearch-Demo
以ElasticSearch在k8s中的部署为例,为大家展示使用:
es.yaml
# RBAC authn and authz
apiVersion: v1
kind: ServiceAccount
metadata:
name: elasticsearch-logging
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: elasticsearch-logging
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
- ""
resources:
- "services"
- "namespaces"
- "endpoints"
verbs:
- "get"
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
namespace: kube-system
name: elasticsearch-logging
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
subjects:
- kind: ServiceAccount
name: elasticsearch-logging
namespace: kube-system
apiGroup: ""
roleRef:
kind: ClusterRole
name: elasticsearch-logging
apiGroup: ""
---
# Elasticsearch deployment itself
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: elasticsearch-logging
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
version: v6.3.0
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
serviceName: elasticsearch-logging
replicas: 2
selector:
matchLabels:
k8s-app: elasticsearch-logging
version: v6.3.0
template:
metadata:
labels:
k8s-app: elasticsearch-logging
version: v6.3.0
kubernetes.io/cluster-service: "true"
spec:
serviceAccountName: elasticsearch-logging
containers:
- image: k8s.gcr.io/elasticsearch:v6.3.0
name: elasticsearch-logging
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
ports:
- containerPort: 9200
name: db
protocol: TCP
- containerPort: 9300
name: transport
protocol: TCP
volumeMounts:
- name: elasticsearch-logging
mountPath: /data
env:
- name: "NAMESPACE"
valueFrom:
fieldRef:
fieldPath: metadata.namespace
initContainers:
- image: alpine:3.6
command: ["/sbin/sysctl", "-w", "vm.max_map_count=262144"]
name: elasticsearch-logging-init
securityContext:
privileged: true
volumeClaimTemplates:
- metadata:
name: elasticsearch-logging
spec:
accessModes: ["ReadWriteOnce","ReadOnlyMany","ReadWriteMany"]
storageClassName: rook-ceph-block #此处为上一步创建的storageclass名称
resources:
requests:
storage: 100G