Elasticsearch学习笔记系列（一）之搭建环境

由于笔者最近在学习docker容器，所以全程用docker的方式来搭建ES环境

1、安装ES，Kibana以及Ik分词工具和ES-Head可视化插件

docker-compose.yml配置文件如下：

version: '3.3'
services:
  elasticsearch:
    image: elasticsearch:6.4.0
    container_name: elasticsearch
    restart: always
    ports:
      - 9200:9200
      - 9300:9300
    environment:
      discovery.type: single-node
    volumes:
        #容器卷，将Es的配置文件、数据文件和插件配置和宿主机映射
      - ./config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - ./plugins:/usr/share/elasticsearch/plugins
      - ./data:/usr/share/elasticsearch/data
  kibana:
    image: kibana:6.4.0
    container_name: kibana
    ports:
      - 5601:5601
    environment:
      - ELASTICSEARCH_URL=http://192.168.152.131:9200
    restart: always
  head:  #可视化插件
    image: mobz/elasticsearch-head:5
    restart: always
    container_name: es_head
    ports:
      - 9100:9100

其中IK分词器在github上面下载并且解压放入plugins容器卷文件夹中即可,随后使用docker-compose up -d启动即可

查看Es是否启动成功，浏览器访问http://ip:9200出现以下Json串即可

{
  "name": "u8Pn7I5",
  "cluster_name": "docker-cluster",
  "cluster_uuid": "SPZQ2gE8QraE4qCK2zzJtA",
  "version": {
    "number": "6.4.0",
    "build_flavor": "default",
    "build_type": "tar",
    "build_hash": "595516e",
    "build_date": "2018-08-17T23:18:47.308994Z",
    "build_snapshot": false,
    "lucene_version": "7.4.0",
    "minimum_wire_compatibility_version": "5.6.0",
    "minimum_index_compatibility_version": "5.0.0"
  },
  "tagline": "You Know, for Search"
}

在使用Head的时候可能会产生跨域，所以在容器卷的config目录下的elasticsearch.yml中添加下面配置

http.cors.enabled: true
http.cors.allow-origin: "*"

访问9100端口可看到Head页面

微信截图_20190609192406.png

IK分词器查看效果，这里使用kibana控制台来测试效果

微信截图_20190609192751.png

2、安装基本环境就完成了，后面可以使用kibana控制台来完成Es命令