k8s部署zookeeper集群

时间:2022-07-22
本文章向大家介绍k8s部署zookeeper集群,主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。

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

image-20200726131146771

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

image-20200726131248218

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

image-20200726131900366

可以通过kubect get pods -n tool

image-20200726132035822

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

image-20200726132141885

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

image-20200726132515135

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

image-20200726132634789

两个follower节点一个leader 代表我们zk集群部署成功!!!