1、准备环境
- 一台安装了docker的机器(并且安装docker-compose)
- es版本：elasticsearch:8.6.2(使用的es版本)
- kibana:8.6.2
以上都是在ubuntu22.04下进行的安装
2、获取镜像
- docker pull elasticsearch:8.6.2
- docker pull kibana:8.6.2
上诉拉取镜像可能会比较慢，请耐心等待
3、docker-compose编排
创建一个elasticstack目录，在目录下分别创建node1,node2,node3 三个文件夹，作为三个节点的挂载目录(然后根据需求在nodex下创建data,conf等目录挂载容器内的es相关文件夹文件)
3.1、编写docker-compose.yml配置
代码语言：javascript复制version: '3.7'
services:
es01:
image: ${image}
container_name: es01
ports:
- "9200:9200"
- "9300:9300"
environment:
node.name: es01
cluster.name: docker-cluster
discovery.seed_hosts: es01,es02,es03
cluster.initial_master_nodes: es01,es02,es03
ES_JAVA_OPTS: -Xms512m -Xmx512m
xpack.security.enabled: false # es8引入https,为了开发方便关闭
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- /home/zt/elasticstack/node1/data:/usr/share/elasticsearch/data
networks:
- es-net
es02:
image: ${image}
container_name: es02
ports:
- "9201:9200"
- "9301:9300"
environment:
node.name: es02
cluster.name: docker-cluster
discovery.seed_hosts: es01,es02,es03
cluster.initial_master_nodes: es01,es02,es03
ES_JAVA_OPTS: -Xms512m -Xmx512m
xpack.security.enabled: false
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- /home/zt/elasticstack/node2/data:/usr/share/elasticsearch/data
networks:
- es-net
es03:
image: ${image}
container_name: es03
ports:
- "9202:9200"
- "9302:9300"
environment:
node.name: es03
cluster.name: docker-cluster
discovery.seed_hosts: es01,es02,es03
cluster.initial_master_nodes: es01,es02,es03
ES_JAVA_OPTS: -Xms512m -Xmx512m
xpack.security.enabled: false
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- /home/zt/elasticstack/node3/data:/usr/share/elasticsearch/data
networks:
- es-net
kibana:
image: ${image_kibana}
container_name: kibana
depends_on:
- es01
- es02
- es03
environment:
SERVERNAME: kibana
ES_JAVA_OPTS: -Xmx521m -Xms512m
ELASTICSEARCH_HOSTS: '["http://es01:9200","http://es02:9200","http://es03:9200"]'
networks:
- es-net
ports:
- "5601:5601"
- "9600:9600"
networks:
es-net:
driver: bridgey
以上配置文件缩进可能有问题，复制请校对一下3.2、编写.env配置
image=elasticsearch:8.6.2 image_kibana=kibana:8.6.2
3.3、启动集群
- docker-compoose up -d
- docker ps 查看集群启动情况
- 访问 http://ip:5601 查看kibana是否启动成功
- 在dev tool 执行GET _cluster/health 查看集群是否搭建成功 number_of_nodes 为3;status为green
