使用 docker-compose 启动 es 集群 + kibana

编写 docker-compose yaml

yaml 复制代码
version: 'v3'
services:
  elasticsearch-node1:
    image: elasticsearch:7.17.24
    container_name: 'elasticsearch-node1'
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      - node.name=elasticsearch-node1
      - cluster.name=my-es-cluster
      - discovery.seed_hosts=elasticsearch-node2,elasticsearch-node3
      - cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      - custom-es
  elasticsearch-node2:
    image: elasticsearch:7.17.24
    container_name: elasticsearch-node2
    ports:
      - "9201:9200"
      - "9301:9300"
    environment:
      - node.name=elasticsearch-node2
      - cluster.name=my-es-cluster
      - discovery.seed_hosts=elasticsearch-node1,elasticsearch-node3
      - cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      - custom-es
  elasticsearch-node3:
    image: elasticsearch:7.17.24
    container_name: elasticsearch-node3
    ports:
      - "9202:9200"
      - "9302:9300"
    environment:
      - node.name=elasticsearch-node3
      - cluster.name=my-es-cluster
      - discovery.seed_hosts=elasticsearch-node1,elasticsearch-node2
      - cluster.initial_master_nodes=elasticsearch-node1,elasticsearch-node2,elasticsearch-node3
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      - custom-es
  my-es-cluster-kibana:
    container_name: my-es-cluster-kibana
    image: kibana:7.17.24
    ports:
      - "5601:5601"
    environment:
      - ELASTICSEARCH_HOSTS=http://elasticsearch-node1:9200
    networks:
      - custom-es
    depends_on:
      - elasticsearch-node1
      - elasticsearch-node2
      - elasticsearch-node3
networks:
  custom-es:
    driver: bridge

编写 docker-compose 然后在命令行启动这个 docker-compose

启动 docker-compose

docker-compose -f docker-compose.yml -d up

这个命令可以在后台启动一个compose,里面包含 es3个节点的集群+kibana

然后在 chrome 中查询当前的集群信息

分别是

bash 复制代码
# 查询节点信息
curl http://127.0.0.1:9200/_cat/nodes
# 访问 kibana
curl http://127.0.0.1:5601

当我们输入以后可以看到这样的街面就可以正常使用 es 和 kibana 了

关闭启动的docker-compose

docker-compose -f docker-compose.yaml down

相关推荐
-$_$-1 小时前
【黑马点评】 使用RabbitMQ实现消息队列——1.Docker与RabbitMQ环境安装
分布式·docker·rabbitmq
芯的一天1 小时前
windows下DockerDesktop命令行方式指定目录安装
windows·docker
alfiy2 小时前
Elasticsearch学习笔记(六)使用集群令牌将新加点加入集群
笔记·学习·elasticsearch
獨枭2 小时前
Ubuntu 通过 Docker 搭建 GitLab
ubuntu·docker·gitlab
漫无目的行走的月亮3 小时前
比较Elasticsearch和Hadoop
hadoop·elasticsearch
zixingcai3 小时前
dockertop提示Failed to fetch extensions
docker
hengzhepa11 小时前
ElasticSearch备考 -- Async search
大数据·学习·elasticsearch·搜索引擎·es
雪域迷影12 小时前
PostgreSQL Docker Error – 5432: 地址已被占用
数据库·docker·postgresql
莹雨潇潇13 小时前
Docker 快速入门(Ubuntu版)
java·前端·docker·容器