docker 安装elasticsearch kibana 单节点 集群 (二)

使用docker-compose 启动kibana、elasticsearch 单节点
首先编写一个compose.yml 文件，只需要一条命令就可以启动多个容器。
切换到compose.yml 文件目录中，运行 docker-compose up -d

单节点配置

#指定 compose 文件的版本
version: '2.2'
services:
  kibana:
    #指定需要启动的镜像
    image: kibana:7.10.1
    #指定启动完成容器的名称
    container_name: kibana_v1
    #指定该容器启动的参数
    environment:
      - I18N_LOCALE=zh-CN
      - XPACK_GRAPH_ENABLED=true
      - TIMELION_ENABLED=true
      - XPACK_MONITORING_COLLECTION_ENABLED="true"
    #端口 容器端口映射到外部的端口
    ports:
      - "5601:5601"
    #指定使用哪个网络
    networks:
      - es73net
  elasticsearch:
    image: elasticsearch:7.10.1
    container_name: es_v1
    environment:
      - cluster.name=geektime
      - node.name=es73
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es73
      - cluster.initial_master_nodes=es73
    #资源的限制 如 内存
    ulimits:
      memlock:
        soft: -1
        hard: -1
    #数据映射到卷载目录 指定数据写在docker主机下边
    volumes:
      - es73data1:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - es73net

#声明数据目录
volumes:
  es73data1:
    driver: local
#声明网络
networks:
  es73net:
    driver: bridge

集群yaml文件配置

version: '2.2'
services:
  cerebro:
    image: lmenezes/cerebro
    container_name: cerebro_v1
    ports:
      - "9000:9000"
    command:
      - -Dhosts.0.host=http://elasticsearch:9200
    networks:
      - es72net
  kibana:
    image: kibana:7.10.1
    container_name: kibana_v1
    environment:
      - I18N_LOCALE=zh-CN
      - XPACK_GRAPH_ENABLED=true
      - TIMELION_ENABLED=true
      - XPACK_MONITORING_COLLECTION_ENABLED="true"
    ports:
      - "5601:5601"
    networks:
      - es72net
  elasticsearch:
    image: elasticsearch:7.10.1
    container_name: es72_01
    environment:
      - cluster.name=geektime
      # - node.master=true
      - node.name=es72_01
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es72_01,es72_02,es72_03
      # - network.publish_host=elasticsearch
      - cluster.initial_master_nodes=es72_01,es72_02,es72_03
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - es72data1:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - es72net
  elasticsearch2:
    image: elasticsearch:7.10.1
    container_name: es72_02
    environment:
      - cluster.name=geektime
      # - node.master=false
      - node.name=es72_02
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es72_01,es72_02,es72_03
      # - network.publish_host=elasticsearch
      - cluster.initial_master_nodes=es72_01,es72_02,es72_03
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - es72data2:/usr/share/elasticsearch/data
    networks:
      - es72net
  elasticsearch3:
    image: elasticsearch:7.10.1
    container_name: es72_03
    environment:
      - cluster.name=geektime
      # - node.master=false
      - node.name=es72_03
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es72_01,es72_02,es72_03
      # - network.publish_host=elasticsearch
      - cluster.initial_master_nodes=es72_01,es72_02,es72_03
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - es72data3:/usr/share/elasticsearch/data
    networks:
      - es72net


volumes:
  es72data1:
    driver: local
  es72data2:
    driver: local
  es72data3:
    driver: local

networks:
  es72net:
    driver: bridge

参考：极客时间 《Elasticsearch核心技术与实战》