Docker-compose 建立ELK集群

全部编排文件和配置文件可以访问我的 Github ,大家只要修改配置文件中的路径即可快速搭建一个3实例的ES集群和一个Kibana实例。

规划

计划创建3个ES实例组成一个集群,同时创建一个Kibana实例连接该集群。每个ES实例使用本地配置文件,方便配置文件的保存和版本管理。Kibana的配置文件也放在本地,通过文件映射的方式挂载到容器内。

总的目录结构如下:

$ tree
.
├── docker-compose.yml
├── kibana.yml
├── node1
│   └── es1.yml
├── node2
│   └── es2.yml
└── node3
    └── es3.yml

3 directories, 5 files

编排文件

主要的编排文件是 docker-compose.yml

version: "2.1"
services:
  es-node1:
    image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
    hostname: es-node1
    expose:         #不会将端口暴露给容器外应用
      - "9001"
    ports:          #将端口暴露到宿主机中
      - "9200:9200"
      - "9300:9300"
    volumes:
      - ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node1/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml
    environment:
      - cluster.name=es-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms256m -Xmx256m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      es-cluster-network:
        ipv4_address: 172.21.0.10
  es-node2:
    image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
    hostname: es-node2
    expose:         #不会将端口暴露给容器外应用
      - "9002"
    ports:          #将端口暴露到宿主机中
      - "9201:9201"
      - "9301:9301"
    volumes:
      - ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node2/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml
    environment:
      - cluster.name=es-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms256m -Xmx256m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      es-cluster-network:
        ipv4_address: 172.21.0.11
  es-node3:
    image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
    hostname: es-node3
    expose:         #不会将端口暴露给容器外应用
      - "9003"
    ports:          #将端口暴露到宿主机中
      - "9202:9202"
      - "9302:9302"
    volumes:
      - ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node3/es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml
    environment:
      - cluster.name=es-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms256m -Xmx256m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      es-cluster-network:
        ipv4_address: 172.21.0.12
  kibana:
    image: docker.elastic.co/kibana/kibana:6.7.0
    ports:
      - "5601:5601"
    volumes:
      - ~/Projects/sh-valley/docker-conf/elasticstack/cluster/kibana.yml:/usr/share/kibana/config/kibana.yml
    environment:
      - ELASTICSEARCH_URL=http://es-node1:9200
    networks:
      - es-cluster-network
networks:
  es-cluster-network:
    driver: bridge
    ipam:
      driver: default
      config:
      - subnet: 172.21.0.0/16
        gateway: 172.21.0.1

ES配置文件只选取了一个示例如下:

cluster.name: elasticsearch-cluster
node.name: es-node1
network.bind_host: 0.0.0.0
network.publish_host: 172.21.0.10
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true 
node.data: true  
discovery.zen.ping.unicast.hosts: ["172.21.0.10:9300","172.21.0.11:9301","172.21.0.12:9302"]
discovery.zen.minimum_master_nodes: 2

Kibana的配置文件如下

server.name: kibana
server.host: "0"
elasticsearch.hosts: [ "http://es-node1:9200", "http://es-node2:9201", "http://es-node3:9202" ]
xpack.monitoring.ui.container.elasticsearch.enabled: false

启动命令

配置文件准备好之后,就可以启动集群了

$ docker-compose up -d

启动过程可能会比较慢,通过命令行可以看到集群节点

$ curl http://localhost:9200/_cat/nodes
172.21.0.12 51 96 29 6.53 6.43 3.72 md  - es-node3
172.21.0.11 47 96 30 6.53 6.43 3.72 mdi - es-node2
172.21.0.10 49 96 30 6.53 6.43 3.72 mdi * es-node1

后续使用过程中可以通过 docker-compose 命令启动、停止服务,如果不想保留相关的实例,可以使用 docker-compose down 关闭并删除容器。

参考资料

  1. elasticsearch document
  2. docker-compose自定义网络,固定容器ip地址
  3. docker-compose ports和expose的区别
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