概述

elasticsearch是软件开发过程中常用的中间件，本文介绍如何在本地快速搭建es开发环境。

相关应用介绍

<ul>
<li>elasticsearch: 即es服务，本例中会启动两个节点，双主模式，以满足开发过程中，副本shard的需要</li>
<li>kibana:可以对es中的数据进行可视化分析，搜索等</li>
<li>cerebro:是es集群的可视化管理工具</li>
</ul>

docker-compose.yml

其中，es采用7.14.0版本

version: '2.2'
services:
  cerebro:
    image: lmenezes/cerebro:0.8.3
    container_name: cerebro
    ports:
      - "9005:9000"
    command:
      - -Dhosts.0.host=http://my-elasticsearch:9200
    networks:
      - es7net
  kibana:
    image: kibana:7.14.0
    container_name: kibana7
    environment:
      - I18N_LOCALE=zh-CN
      - XPACK_GRAPH_ENABLED=true
      - TIMELION_ENABLED=true
      - XPACK_MONITORING_COLLECTION_ENABLED="true"
      - ELASTICSEARCH_HOSTS=["http://my-elasticsearch:9200"]
    ports:
      - "5601:5601"
    networks:
      - es7net
  my-elasticsearch:
    image: elasticsearch:7.14.0
    container_name: es7_01
    environment:
      - cluster.name=es-cluster
      - node.name=es7_01
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es7_01,es7_02
      - cluster.initial_master_nodes=es7_01,es7_02
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - ./es7data1:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - es7net
  my-elasticsearch2:
    image: elasticsearch:7.14.0
    container_name: es7_02
    environment:
      - cluster.name=es-cluster
      - node.name=es7_02
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - discovery.seed_hosts=es7_01,es7_02
      - cluster.initial_master_nodes=es7_01,es7_02
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - ./es7data2:/usr/share/elasticsearch/data
    networks:
      - es7net

networks:
  es7net:
    driver: bridge

启动过程

<ol>
<li>初始化data目录</li>
在docker-compose目录下新建 es7data1 es7data2 文件下
<li>docker compose up指令启动</li>
</ol>

查看状态

<ol>
<li>cerebro查看</li>
访问http://localhost:9205, node address输入http://my-elasticsearch:9200,连接查看集群状态
<li>kibana查看</li>
访问http://localhost:5601
</ol>