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k8s怎么部署zookeeper集群

k8s Zookeeper

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2024/4/20 13:30:14

栏目: 大数据

在Kubernetes中部署Zookeeper集群通常涉及以下步骤：

创建Zookeeper配置文件：创建一个包含Zookeeper配置信息的ConfigMap对象，例如my-zookeeper-config.yaml，内容如下：

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-zookeeper-config
data:
  zoo.cfg: |
    tickTime=2000
    initLimit=10
    syncLimit=5
    dataDir=/data
    clientPort=2181

创建Zookeeper集群的StatefulSet：创建一个StatefulSet对象来管理Zookeeper集群的Pod，例如my-zookeeper-statefulset.yaml，内容如下：

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: my-zookeeper
spec:
  replicas: 3
  serviceName: my-zookeeper
  selector:
    matchLabels:
      app: my-zookeeper
  template:
    metadata:
      labels:
        app: my-zookeeper
    spec:
      containers:
      - name: zookeeper
        image: zookeeper:3.6.2
        ports:
        - containerPort: 2181
        volumeMounts:
        - name: data
          mountPath: /data
        env:
        - name: ZOO_MY_ID
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: ZOO_SERVERS
          value: server.1=my-zookeeper-0.my-zookeeper.default.svc.cluster.local:2888:3888;2181 server.2=my-zookeeper-1.my-zookeeper.default.svc.cluster.local:2888:3888;2181 server.3=my-zookeeper-2.my-zookeeper.default.svc.cluster.local:2888:3888;2181
  volumeClaimTemplates:
  - metadata:
      name: data
    spec:
      accessModes: [ "ReadWriteOnce" ]
      resources:
        requests:
          storage: 1Gi

创建Headless Service：创建一个Headless Service对象用于将Zookeeper Pod之间的通信路由到正确的Pod，例如my-zookeeper-service.yaml，内容如下：

apiVersion: v1
kind: Service
metadata:
  name: my-zookeeper
spec:
  clusterIP: None
  selector:
    app: my-zookeeper
  ports:
  - port: 2181
    targetPort: 2181

应用配置文件：使用kubectl apply命令将上述配置文件部署到Kubernetes集群中：

kubectl apply -f my-zookeeper-config.yaml
kubectl apply -f my-zookeeper-statefulset.yaml
kubectl apply -f my-zookeeper-service.yaml

以上步骤将在Kubernetes中部署一个包含3个Zookeeper节点的集群，可以根据实际需求调整副本数和存储大小等参数。

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