k8s部署elasticsearch

news2025/2/9 6:45:56

前置环境：已部署k8s集群，ip地址为 192.168.10.1~192.168.10.5，总共5台机器。

1. 创建provisioner制备器（如果已存在，则不需要）

制备器的具体部署方式，参考我之前的文章：k8s部署rabbitmq-CSDN博客

2. 编写wms-elk-data-sc.yaml配置文件

apiVersion: storage.k8s.io/v1
kind: StorageClass # 描述资源对象为SC类型
metadata:
  name: wms-elk-data # SC的名称，在集群范围内需要保证唯一
provisioner: wms-nfs-provisioner # 外部制备器提供者，编写为提供者的名称
parameters:
  archiveOnDelete: "true" # 是否存档，false表示不存档，会删除oldPath下面的数据，true表示存档，会重命名路径
reclaimPolicy: Delete # 回收策略
volumeBindingMode: Immediate # 默认为Immediate，表示创建PVC立即进行绑定

3. 导入wms-elk-data-sc.yaml配置文件

4. 查看PVC信息

$ kubectl get pvc -n wms
$ kubectl describe pvc elasticsearch-data-elasticsearch-0 -n wms

5. 编写elasticsearch.yaml配置文件

---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch
spec:
  type: ClusterIP
  clusterIP: None
  ports:
  - name: elasticsearch
    port: 9200
    targetPort: 9200
  - name: es-transport
    port: 9300
    targetPort: 9300
  selector:
    app: elasticsearch
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: elasticsearch-config
data:
  # 指定配置文件的内容
  elasticsearch.yml: |
    cluster.name: cluster-es
    network.host: 0.0.0.0
    xpack.license.self_generated.type: basic
    xpack.security.enabled: false
    xpack.monitoring.collection.enabled: true
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: elasticsearch
spec:
  serviceName: elasticsearch
  replicas: 1
  selector:
    matchLabels:
      app: elasticsearch
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      containers:
      - name: elasticsearch
        image: harbor.cool.team/common/elasticsearch/elasticsearch-ik:7.16.2
        imagePullPolicy: IfNotPresent
        ports:
        - name: elasticsearch
          containerPort: 9200
          protocol: "TCP"
        - name: es-transport
          containerPort: 9300
          protocol: "TCP"
        env:
        - name: ES_JAVA_OPTS
          value: -Xmx4048m -Xms512m
        - name: discovery.type
          value: single-node
        volumeMounts:
        - name: elasticsearch-conf #挂载配置
          mountPath: /usr/share/elasticsearch/config/elasticsearch.yml
          subPath: elasticsearch.yml
        - name: elasticsearch-data #挂载数据
          mountPath: /usr/share/elasticsearch/data
      volumes:
      - name: elasticsearch-conf
        configMap:
          name: elasticsearch-config
      restartPolicy: Always
  volumeClaimTemplates: 
  - metadata:
      name: elasticsearch-data
    spec:
      accessModes: ["ReadWriteMany"]
      storageClassName: "elk-data"
      resources:
        requests:
          storage: 100Gi