前言
本次的目的是通过使用k8s搭建一个三节点的zookeeper
集群,因为zookeeper
集群需要用到存储,所以我们需要准备三个持久卷(Persistent Volume
) 简称就是PV。
创建zk-pv
首先通过nfs创建三个共享目录
mkdir -p /data/share/pv/{zk01,zk02,zk03}
分别对应三节点zk集群中的三个pod的持久化目录,创建好目录之后编写yaml创建zk-pv.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: k8s-pv-zk01
namespace: tools
labels:
app: zk
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
spec:
capacity:
storage: 5Gi
accessModes:
- ReadWriteOnce
hostPath:
path: /data/share/pv/zk01
persistentVolumeReclaimPolicy: Recycle
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: k8s-pv-zk02
namespace: tools
labels:
app: zk
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
spec:
capacity:
storage: 5Gi
accessModes:
- ReadWriteOnce
hostPath:
path: /data/share/pv/zk02
persistentVolumeReclaimPolicy: Recycle
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: k8s-pv-zk03
namespace: tools
labels:
app: zk
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
spec:
capacity:
storage: 5Gi
accessModes:
- ReadWriteOnce
hostPath:
path: /data/share/pv/zk03
persistentVolumeReclaimPolicy: Recycle
---
使用如下命令创建zk-pk
kubectl create -f zk-pv.yaml
出现如下提示就代表创建成功
这是我们可以通过如下命令去查看创建成功的pv
kubectl get pv -o wide
创建ZK集群
我们选择使用statefulset
去部署zk集群的三节点,并且使用刚刚创建的pv作为存储设备。
zk.yaml
apiVersion: v1
kind: Service
metadata:
name: zk-hs
namespace: tools
labels:
app: zk
spec:
selector:
app: zk
clusterIP: None
ports:
- name: server
port: 2888
- name: leader-election
port: 3888
---
apiVersion: v1
kind: Service
metadata:
name: zk-cs
namespace: tools
labels:
app: zk
spec:
selector:
app: zk
type: NodePort
ports:
- name: client
port: 2181
nodePort: 21811
---
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
name: zk-pdb
namespace: tools
spec:
selector:
matchLabels:
app: zk
maxUnavailable: 1
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: zk
namespace: tools
spec:
selector:
matchLabels:
app: zk # has to match .spec.template.metadata.labels
serviceName: "zk-hs"
replicas: 3 # by default is 1
updateStrategy:
type: RollingUpdate
podManagementPolicy: Parallel
template:
metadata:
labels:
app: zk # has to match .spec.selector.matchLabels
spec:
containers:
- name: zk
imagePullPolicy: Always
image: leolee32/kubernetes-library:kubernetes-zookeeper1.0-3.4.10
resources:
requests:
memory: "500Mi"
cpu: "0.5"
ports:
- containerPort: 2181
name: client
- containerPort: 2888
name: server
- containerPort: 3888
name: leader-election
command:
- sh
- -c
- "start-zookeeper \
--servers=3 \
--data_dir=/var/lib/zookeeper/data \
--data_log_dir=/var/lib/zookeeper/data/log \
--conf_dir=/opt/zookeeper/conf \
--client_port=2181 \
--election_port=3888 \
--server_port=2888 \
--tick_time=2000 \
--init_limit=10 \
--sync_limit=5 \
--heap=512M \
--max_client_cnxns=60 \
--snap_retain_count=3 \
--purge_interval=12 \
--max_session_timeout=40000 \
--min_session_timeout=4000 \
--log_level=INFO"
readinessProbe:
exec:
command:
- sh
- -c
- "zookeeper-ready 2181"
initialDelaySeconds: 10
timeoutSeconds: 5
livenessProbe:
exec:
command:
- sh
- -c
- "zookeeper-ready 2181"
initialDelaySeconds: 10
timeoutSeconds: 5
volumeMounts:
- name: datadir
mountPath: /var/lib/zookeeper
volumeClaimTemplates:
- metadata:
name: datadir
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 1Gi
使用kubectl apply -f zk.yaml
部署
可以通过kubect get pods -n tool
可以查看到三个pod都是running状态了,我们再看service状态 可以通过kubect get svc -n tool
可以看到我们将2181端口通过nodePort映射给了21811暴露出去了。
验证Zk集群是否启动成功
我们可以通过kubectl exec -it zk-1 -n tools /bin/sh
进入容器
说明当前节点的ZK是一个follower节点
也可以通过以下命令直接查看所有zk节点的状态 for i in 0 1 2; do kubectl exec zk-$i -n tools zkServer.sh status; done
两个follower节点一个leader 代表我们zk集群部署成功!!!