k8s部署elasticsearch

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: ClusterIPclusterIP: Noneports:- name: elasticsearchport: 9200targetPort: 9200- name: es-transportport: 9300targetPort: 9300selector: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-esnetwork.host: 0.0.0.0xpack.license.self_generated.type: basicxpack.security.enabled: falsexpack.monitoring.collection.enabled: true
---
apiVersion: apps/v1
kind: StatefulSet
metadata:name: elasticsearch
spec:serviceName: elasticsearchreplicas: 1selector:matchLabels:app: elasticsearchtemplate:metadata:labels:app: elasticsearchspec:containers:- name: elasticsearchimage: harbor.cool.team/common/elasticsearch/elasticsearch-ik:7.16.2imagePullPolicy: IfNotPresentports:- name: elasticsearchcontainerPort: 9200protocol: "TCP"- name: es-transportcontainerPort: 9300protocol: "TCP"env:- name: ES_JAVA_OPTSvalue: -Xmx4048m -Xms512m- name: discovery.typevalue: single-nodevolumeMounts:- name: elasticsearch-conf #挂载配置mountPath: /usr/share/elasticsearch/config/elasticsearch.ymlsubPath: elasticsearch.yml- name: elasticsearch-data #挂载数据mountPath: /usr/share/elasticsearch/datavolumes:- name: elasticsearch-confconfigMap:name: elasticsearch-configrestartPolicy: AlwaysvolumeClaimTemplates: - metadata:name: elasticsearch-dataspec:accessModes: ["ReadWriteMany"]storageClassName: "elk-data"resources:requests:storage: 100Gi