k8s离线部署Elasticsearch集群

1.Elasticsearch集群介绍

Elasticsearch集群通过分布式架构实现高可用性、水平扩展和自动容错，支持海量数据的实时高效处理与搜索。

2.部署环境

IP 节点 操作系统 k8s版本

elasticsearch版本

 docker版本
172.16.4.85 master1 centos7.8 1.23.17   20.10.9
172.16.4.86 node1 centos7.8 1.23.17 7.1.1 20.10.9
172.16.4.87 node2 centos7.8 1.23.17 7.1.1 20.10.9
172.16.4.89 node3 centos7.8 1.23.17   20.10.9
172.16.4.90 node4 centos7.8 1.23.17 7.1.1 20.10.9

3.Elasticsearch集群部署

3.1 nfs部署

  • centos7安装nfs
yum install -y nfs-utils
  • 创建nfs共享目录
mkdir -p /nfs_share/k8s/es/pv{1..3}
chmod 777 /nfs_share/k8s/es/pv{1..3} -R
  • nfs配置文件编辑
[root@localhost minio]# cat /etc/exports
/nfs_share/k8s/es/pv1 *(rw,sync,no_subtree_check,no_root_squash)
/nfs_share/k8s/es/pv2 *(rw,sync,no_subtree_check,no_root_squash)
/nfs_share/k8s/es/pv3 *(rw,sync,no_subtree_check,no_root_squash)
  • 启动nfs服务
# 启动 NFS 服务
systemctl start nfs-server
# 设置 NFS 服务在系统启动时自动启动
systemctl enable nfs-server
  • 加载配置文件，并输出
[root@localhost es]# exportfs -r
[root@localhost es]# exportfs -v
/nfs_share/k8s/es/pv1
		<world>(sync,wdelay,hide,no_subtree_check,sec=sys,rw,secure,no_root_squash,no_all_squash)
/nfs_share/k8s/es/pv2
		<world>(sync,wdelay,hide,no_subtree_check,sec=sys,rw,secure,no_root_squash,no_all_squash)
/nfs_share/k8s/es/pv3
		<world>(sync,wdelay,hide,no_subtree_check,sec=sys,rw,secure,no_root_squash,no_all_squash)

3.2 宿主机配置

  • 一定要在所有的宿主机添加下边配置，否则在启动es集群的时候会报错：ERROR: [1] bootstrap checks failed [1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]
cat /etc/sysctl.conf
# 添加ES配置
vm.max_map_count=262144

执行生效
sysctl -p

3.3 创建namespace

apiVersion: v1
kind: Namespace
metadata:
  name: es
kubectl apply -f es-ns.yaml

3.4 elasticsearch部署pv

apiVersion: v1
kind: PersistentVolume
metadata:
  name: es-pv1
  labels:
    type: nfs-es-pv  # 用于PVC匹配
spec:
  capacity:
    storage: 10Gi
  accessModes:
    - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: nfs-es-storage
  nfs:
    server: 172.16.4.60
    path: /nfs_share/k8s/es/pv1  # 确保路径已存在且有读写权限

---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: es-pv2
  labels:
    type: nfs-es-pv
spec:
  capacity:
    storage: 10Gi
  accessModes:
    - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: nfs-es-storage
  nfs:
    server: 172.16.4.60
    path: /nfs_share/k8s/es/pv2

---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: es-pv3
  labels:
    type: nfs-es-pv
spec:
  capacity:
    storage: 10Gi
  accessModes:
    - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: nfs-es-storage
  nfs:
    server: 172.16.4.60
    path: /nfs_share/k8s/es/pv3
kubectl apply -f es-pv.yaml

3.5 elasticsearch部署证书

  • ​生成证书：使用Elasticsearch 证书工具elasticsearch-certutil生成 TLS 证书
https://www.cnblogs.com/Jeffrey1172417122/p/16718354.html
  • 创建 Secret：将证书上传到 Kubernetes，注意引用证书的路径
# 假设证书文件存放在当前目录的 certs/ 文件夹中
kubectl create secret generic elasticsearch-certs -n es \
  --from-file=certs/ks-es.key \
  --from-file=certs/ks-es.crt \
  --from-file=certs/ca.crt

3.6 elasticsearch部署configmap

  • k8s的configmap可以参考如下配置文件，这是我之前在宿主机上部署的有证书的集群，也是3台es组成集群，使用nginx做代理。
集群elasticsearch.yml配置 
 ################################ es1 ################################
[root@localhost config]# cat elasticsearch.yml
# 集群名称
cluster.name: escluster

# 集群初始化 选择该节点为主节点 master 
cluster.initial_master_nodes : "es1"
# 节点名称
node.name: es1

# 是否允许该节点参加master 选举
node.master: true 

# 允许该节点存储数据(默认开启)
node.data: true 

# 默认情况下，ElasticSearch使用0.0.0.0地址，并为http传输开启9200-9300端口，为节点到节点的通信开启9300-9400端口，也可以自行设置IP地址
network.host: 0.0.0.0

# publish_host设置其他节点连接此节点的地址，如果不设置的话，则自动获取，publish_host的地址必须为真实地址 
network.publish_host: 172.17.22.65

# 该节点与其他节点交互的端口
transport.tcp.port: 29300

# Http传输监听端口
http.port: 29200

# 是否支持跨域，默认为false
http.cors.enabled: true

# 当设置允许跨域，默认为*,表示支持所有域名
http.cors.allow-origin: "*"

# 跨域允许设置的头信息
http.cors.allow-headers: Authorization

# 节点内部通信地址 9200 是默认端口 ，如有修改则补全端口号
discovery.zen.ping.unicast.hosts: ["172.17.22.65:29300","172.17.22.66:29300","172.17.22.67:29300"]
discovery.zen.minimum_master_nodes: 2
discovery.zen.ping_timeout: 5s
#cluster.initial_master_nodes: ["192.168.1.240:29300","192.168.1.125:29300","192.168.1.141:29300"]
#  X-Pack是Elastic Stack扩展功能，提供安全性，警报，监视，报告，机器学习和许多其他功能 】
# 默认为true，启用节点上ES的XPACK安全功能，相当于总开关
#xpack.security.enabled: true
# 传输层的认证设置

#xpack.security.transport.ssl.enabled: true
 
#xpack.security.transport.ssl.verification_mode: certificate
 
#xpack.security.transport.ssl.keystore.path: certs/
 
#xpack.security.transport.ssl.truststore.path: certs/elastic-certificates.p12

xpack.security.transport.ssl.enabled: true
xpack.security.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.key: certs/ks-es.key
xpack.security.transport.ssl.certificate: certs/ks-es.crt
xpack.security.transport.ssl.certificate_authorities: certs/ca.crt

# 最大子查询个数 ，默认1024 目前系统是以相机为主要检索 如果超过 1024个相机 将会检索不到结果
indices.query.bool.max_clause_count: 10240

################################ es2 ################################
[root@localhost config]# cat elasticsearch.yml
# 集群名称
cluster.name: escluster

# 集群初始化 选择该节点为主节点 master 
#cluster.initial_master_nodes : "es1"
# 节点名称
node.name: es2

# 是否允许该节点参加master 选举
node.master: true 

# 允许该节点存储数据(默认开启)
node.data: true 

# 默认情况下，ElasticSearch使用0.0.0.0地址，并为http传输开启9200-9300端口，为节点到节点的通信开启9300-9400端口，也可以自行设置IP地址
network.host: 0.0.0.0

# publish_host设置其他节点连接此节点的地址，如果不设置的话，则自动获取，publish_host的地址必须为真实地址 
network.publish_host: 172.17.22.66

# 该节点与其他节点交互的端口
transport.tcp.port: 29300

# Http传输监听端口
http.port: 29200

# 是否支持跨域，默认为false
http.cors.enabled: true

# 当设置允许跨域，默认为*,表示支持所有域名
http.cors.allow-origin: "*"

# 跨域允许设置的头信息
http.cors.allow-headers: Authorization

# 节点内部通信地址 9200 是默认端口 ，如有修改则补全端口号
discovery.zen.ping.unicast.hosts: ["172.17.22.65:29300","172.17.22.66:29300","172.17.22.67:29300"]
discovery.zen.minimum_master_nodes: 2
discovery.zen.ping_timeout: 5s
#cluster.initial_master_nodes: ["192.168.1.240:29300","192.168.1.125:29300","192.168.1.141:29300"]
#  X-Pack是Elastic Stack扩展功能，提供安全性，警报，监视，报告，机器学习和许多其他功能 】
# 默认为true，启用节点上ES的XPACK安全功能，相当于总开关
#xpack.security.enabled: true
# 传输层的认证设置

#xpack.security.transport.ssl.enabled: true
 
#xpack.security.transport.ssl.verification_mode: certificate
 
#xpack.security.transport.ssl.keystore.path: certs/
 
#xpack.security.transport.ssl.truststore.path: certs/elastic-certificates.p12

xpack.security.transport.ssl.enabled: true
xpack.security.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.key: certs/ks-es.key
xpack.security.transport.ssl.certificate: certs/ks-es.crt
xpack.security.transport.ssl.certificate_authorities: certs/ca.crt

# 最大子查询个数 ，默认1024 目前系统是以相机为主要检索 如果超过 1024个相机 将会检索不到结果
indices.query.bool.max_clause_count: 10240

################################ es3 ################################
[root@localhost config]# cat elasticsearch.yml
# 集群名称
cluster.name: escluster

# 集群初始化 选择该节点为主节点 master 
#cluster.initial_master_nodes : "es1"
# 节点名称
node.name: es3

# 是否允许该节点参加master 选举
node.master: true 

# 允许该节点存储数据(默认开启)
node.data: true 

# 默认情况下，ElasticSearch使用0.0.0.0地址，并为http传输开启9200-9300端口，为节点到节点的通信开启9300-9400端口，也可以自行设置IP地址
network.host: 0.0.0.0

# publish_host设置其他节点连接此节点的地址，如果不设置的话，则自动获取，publish_host的地址必须为真实地址 
network.publish_host: 172.17.22.67

# 该节点与其他节点交互的端口
transport.tcp.port: 29300

# Http传输监听端口
http.port: 29200

# 是否支持跨域，默认为false
http.cors.enabled: true

# 当设置允许跨域，默认为*,表示支持所有域名
http.cors.allow-origin: "*"

# 跨域允许设置的头信息
http.cors.allow-headers: Authorization

# 节点内部通信地址 9200 是默认端口 ，如有修改则补全端口号
discovery.zen.ping.unicast.hosts: ["172.17.22.65:29300","172.17.22.66:29300","172.17.22.67:29300"]
discovery.zen.minimum_master_nodes: 2
discovery.zen.ping_timeout: 5s
#cluster.initial_master_nodes: ["192.168.1.240:29300","192.168.1.125:29300","192.168.1.141:29300"]
#  X-Pack是Elastic Stack扩展功能，提供安全性，警报，监视，报告，机器学习和许多其他功能 】
# 默认为true，启用节点上ES的XPACK安全功能，相当于总开关
#xpack.security.enabled: true
# 传输层的认证设置

#xpack.security.transport.ssl.enabled: true
 
#xpack.security.transport.ssl.verification_mode: certificate
 
#xpack.security.transport.ssl.keystore.path: certs/
 
#xpack.security.transport.ssl.truststore.path: certs/elastic-certificates.p12

xpack.security.transport.ssl.enabled: true
xpack.security.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.key: certs/ks-es.key
xpack.security.transport.ssl.certificate: certs/ks-es.crt
xpack.security.transport.ssl.certificate_authorities: certs/ca.crt

# 最大子查询个数 ，默认1024 目前系统是以相机为主要检索 如果超过 1024个相机 将会检索不到结果
indices.query.bool.max_clause_count: 10240
  •  nginx.conf配置代理
nginx代理es集群配置 
 #cat nginx.conf

http {

    upstream es {
	server	172.17.22.65:29200;	# es1
	server	172.17.22.66:29200;	# es2
	server	172.17.22.67:29200;	# es3
    }

    server {
        listen       29201;
        server_name  localhost;
        client_body_timeout 5s;
        client_header_timeout 5s;
        send_timeout 30s;

       location / {
	      proxy_pass http://es;
	      proxy_buffers 16 1024k;
              proxy_busy_buffers_size 2048k;
              proxy_temp_file_write_size 2048k;
              client_max_body_size    4000m;
              proxy_set_header Host $host:80;
 	          proxy_set_header X-Real-IP $remote_addr;
              proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
	   }


        error_page   500 502 503 504  /50x.html;
        location = /50x.html {
            root   html;
        }

    }


}
  • elasticsearch configmap，需要注意cm中的证书路径和sts挂载保持一致
apiVersion: v1
kind: ConfigMap
metadata:
  name: elasticsearch-config
  namespace: es
  labels:
    app: elasticsearch
data:
  elasticsearch.yml: |-
    cluster.name: es-production
    node.name: ${HOSTNAME}
    network.host: 0.0.0.0
    http.port: 29200
    transport.port: 29300
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    discovery.seed_hosts:
      - "es-cluster-0.es-cluster.es.svc.cluster.local:29300"
      - "es-cluster-1.es-cluster.es.svc.cluster.local:29300"
      - "es-cluster-2.es-cluster.es.svc.cluster.local:29300"
    cluster.initial_master_nodes:
      - "es-cluster-0"
      - "es-cluster-1"
      - "es-cluster-2"
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.key: /usr/share/elasticsearch/config/certs/ks-es.key
    xpack.security.transport.ssl.certificate: /usr/share/elasticsearch/config/certs/ks-es.crt
    xpack.security.transport.ssl.certificate_authorities: /usr/share/elasticsearch/config/certs/ca.crt
    indices.query.bool.max_clause_count: 10240
kubectl apply -f es-cm.yaml

3.7 elasticsearch部署headless+statefulset

  •  注意：自定义端口、自定义密码、配置MEM/CPU等
  • 172.16.4.17:8090/public/elastic:7.1.1镜像是hub.docker.com中找的，然后私有化
  • 探针 readinessProbe: 部分的 - name: Authorization 下的  value 说明
#探针内容
readinessProbe:
  httpGet:
    path: /_cluster/health?local
    port: http
    scheme: HTTP
    httpHeaders:
      - name: Authorization
        value: "Basic ZWxhc3RpYzpMdHp4RWxhc3RpY0AxNjM4NA==" 

# 确定用户名和密码​​
​​用户名​​: elastic（Elasticsearch 默认超级用户）
​​密码​​: 123456（由环境变量 ELASTIC_PASSWORD 定义）
组合为字符串：elastic:123456

# 生成 Base64 编码​​
在 Linux 终端中执行以下命令：
echo -n "elastic:123456" | base64
​​输出​​：
ZWxhc3RpYzpMdHp4RWxhc3RpY0AxNjM4NA==

# 更新 Readiness Probe 配置​​
将生成的 Base64 字符串替换到 readinessProbe 的 value 字段：
  • 部署headless和statefulset
apiVersion: v1
kind: Service
metadata:
  name: es-cluster
  namespace: es
  labels:
    app: elasticsearch
spec:
  clusterIP: None
  ports:
  - name: http
    port: 29200
    targetPort: 29200
  - name: transport
    port: 29300
    targetPort: 29300
  selector:
    app: elasticsearch
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: es-cluster
  namespace: es
spec:
  serviceName: es-cluster
  replicas: 3
  updateStrategy:
    type: RollingUpdate
  podManagementPolicy: Parallel
  selector:
    matchLabels:
      app: elasticsearch
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      terminationGracePeriodSeconds: 120
      securityContext:
        runAsUser: 1000
        fsGroup: 1000
        fsGroupChangePolicy: "OnRootMismatch"
      affinity:
        podAntiAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            - labelSelector:
                matchExpressions:
                  - key: app
                    operator: In
                    values: ["elasticsearch"]
              topologyKey: "kubernetes.io/hostname"
      containers:
        - name: elasticsearch
          image: 172.16.4.17:8090/public/elastic:7.1.1
          securityContext:
            capabilities:
              add: ["SYS_RESOURCE"]
          volumeMounts:
            - name: elasticsearch-config
              mountPath: /usr/share/elasticsearch/config/elasticsearch.yml
              subPath: elasticsearch.yml
            - name: data
              mountPath: /usr/share/elasticsearch/data
            - name: certs
              mountPath: /usr/share/elasticsearch/config/certs
              readOnly: true
          env:
            - name: ES_JAVA_OPTS
              value: "-Xms4g -Xmx4g -Dlog4j2.formatMsgNoLookups=true -Des.bootstrap.memory_lock=true"
            - name: ELASTIC_PASSWORD
              value: "123456"
          ports:
            - containerPort: 29200
              name: http
            - containerPort: 29300
              name: transport
          resources:
            requests:
              memory: "5Gi"
              cpu: "2"
            limits:
              memory: "5Gi"
              cpu: "4"
          livenessProbe:
            exec:
              command:
                - /bin/bash
                - -c
                - |
                  curl -sS --max-time 5 -u elastic:123456 http://localhost:29200/_cluster/health || exit 1
            initialDelaySeconds: 300
            periodSeconds: 20
          readinessProbe:
            httpGet:
              path: /_cluster/health?local
              port: http
              scheme: HTTP
              httpHeaders:
                - name: Authorization
                  value: "Basic ZWxhc3RpYzp5dHhAMTIzNA=="
            initialDelaySeconds: 120
            timeoutSeconds: 10
      volumes:
        - name: elasticsearch-config
          configMap:
            name: elasticsearch-config
            items:
              - key: elasticsearch.yml
                path: elasticsearch.yml
        - name: certs
          secret:
            secretName: elasticsearch-certs
  volumeClaimTemplates:
    - metadata:
        name: data
      spec:
        storageClassName: nfs-es-storage
        accessModes: [ "ReadWriteOnce" ]
        resources:
          requests:
            storage: 10Gi
kubectl apply -f es-ss.yaml

3.8 elasticsearch部署service

  • 有负载均衡能力，替代nginx
apiVersion: v1
kind: Service
metadata:
  name: es-nodeport  # NodePort 服务名称
  namespace: es
spec:
  type: NodePort
  ports:
  - name: http
    port: 29200       # Service 端口（集群内访问端口）
    targetPort: 29200 # 容器暴露的 HTTP 端口
    nodePort: 30920   # 节点外部端口（范围 30000-32767）
  selector:
    app: elasticsearch  # 与 StatefulSet 的 Pod 标签一致
kubectl apply -f es-svc.yaml

3.9 elasticsearch状态查看

[root@master1 es]# kubectl get pv | grep es-cluster
es-pv1                  10Gi       RWO            Retain           Bound    es/data-es-cluster-1                     nfs-es-storage               3h2m
es-pv2                  10Gi       RWO            Retain           Bound    es/data-es-cluster-2                     nfs-es-storage               3h2m
es-pv3                  10Gi       RWO            Retain           Bound    es/data-es-cluster-0                     nfs-es-storage             3h2m

[root@master1 es]# kubectl get pvc -n es 
NAME                STATUS   VOLUME   CAPACITY   ACCESS MODES   STORAGECLASS     AGE
data-es-cluster-0   Bound    es-pv3   10Gi       RWO            nfs-es-storage   3h1m
data-es-cluster-1   Bound    es-pv1   10Gi       RWO            nfs-es-storage   3h1m
data-es-cluster-2   Bound    es-pv2   10Gi       RWO            nfs-es-storage   3h1m

[root@master1 es]# kubectl get secret -n es 
NAME                  TYPE                                  DATA   AGE
default-token-6f7pg   kubernetes.io/service-account-token   3      23h
elasticsearch-certs   Opaque                                3      159m

[root@master1 es]# kubectl get cm -n es
NAME                   DATA   AGE
elasticsearch-config   1      111m
kube-root-ca.crt       1      23h

[root@master1 es]# kubectl get sts -n es
NAME         READY   AGE
es-cluster   3/3     110m

[root@master1 es]# kubectl get pods -n es -o wide 
NAME           READY   STATUS    RESTARTS   AGE    IP               NODE    NOMINATED NODE   READINESS GATES
es-cluster-0   1/1     Running   0          110m   10.244.3.84      node4   <none>           <none>
es-cluster-1   1/1     Running   0          110m   10.244.166.190   node1   <none>           <none>
es-cluster-2   1/1     Running   0          110m   10.244.104.22    node2   <none>           <none>

[root@master1 es]# kubectl get svc -n es
NAME          TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)               AGE
es-cluster    ClusterIP   None           <none>        29200/TCP,29300/TCP   110m
es-nodeport   NodePort    10.98.45.191   <none>        29200:30920/TCP       100m

3.10 elasticsearch集群验证

一、查看 Elasticsearch 集群节点状态
#容器内
[root@master1 es]# kubectl exec -n es -it es-cluster-0 -- curl -u elastic:123456 http://es-cluster.es:29200/_cat/nodes?v
ip             heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
10.244.3.84               7          99   6    0.28    0.65     0.77 mdi       *      es-cluster-0
10.244.104.22             5          99   4    0.08    0.39     0.57 mdi       -      es-cluster-2
10.244.166.190            6          99   4    0.10    0.40     0.51 mdi       -      es-cluster-1
#宿主机
[root@master1 es]# curl -u elastic:123456 http://localhost:30920/_cat/nodes?v
ip             heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
10.244.3.84               7          99   6    0.28    0.65     0.77 mdi       *      es-cluster-0
10.244.104.22             5          99   4    0.08    0.39     0.57 mdi       -      es-cluster-2
10.244.166.190            6          99   4    0.10    0.40     0.51 mdi       -      es-cluster-1

二、查看分片分配状态
#查看，新环境没有分片，创建分片
[root@master1 es]# kubectl exec -n es -it es-cluster-0 -- curl -u elastic:123456 http://es-cluster.es:29200/_cat/shards?v
index shard prirep state docs store ip node
#创建分片
[root@master1 es]# kubectl exec -n es -it es-cluster-0 -- curl -XPUT -u elastic:123456 http://es-cluster.es:29200/test_index
{"acknowledged":true,"shards_acknowledged":true,"index":"test_index"}
#再次查看分片状态
[root@master1 es]# kubectl exec -n es -it es-cluster-0 -- curl -u elastic:123456 http://es-cluster.es:29200/_cat/shards?v
index      shard prirep state   docs store ip            node
test_index 0     p      STARTED    0  230b 10.244.104.22 es-cluster-2
test_index 0     r      STARTED    0  230b 10.244.3.84   es-cluster-0

三、集群外验证集群状态
[root@master1 es]# curl --user elastic:ytx@1234 -XGET http://localhost:30920/_cluster/health?pretty=true
{
  "cluster_name" : "es-production",
  "status" : "green",
  "timed_out" : false,
  "number_of_nodes" : 3,
  "number_of_data_nodes" : 3,
  "active_primary_shards" : 1,
  "active_shards" : 2,
  "relocating_shards" : 0,
  "initializing_shards" : 0,
  "unassigned_shards" : 0,
  "delayed_unassigned_shards" : 0,
  "number_of_pending_tasks" : 0,
  "number_of_in_flight_fetch" : 0,
  "task_max_waiting_in_queue_millis" : 0,
  "active_shards_percent_as_number" : 100.0
}

四、查询索引信息
[root@master1 es]# curl --user elastic:ytx@1234 -XGET http://localhost:30920/_cat/indices?v
health status index      uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   test_index l8RTxJz2Te-evDhxhHIHNA   1   1          0            0       566b           283b

3.11 elasticsearch集群地址

  • 内部集群域名地址
es-nodeport.es.svc.cluster.local 29200
  • 外部nodeport地址（svc-nodeport）
10.98.45.191 30920

 

至此elasticsearch集群就部署完了！！！

 

posted @ 2025-03-21 18:08  Leonardo-li  阅读(267)  评论(0)    收藏  举报