docker-compose安装elasticsearch&kibana&ik分词器&自定义字典

创建目录

mkdir -p /data/docker/es/elasticsearch/config
mkdir -p /data/docker/es/elasticsearch/data
mkdir -p /data/docker/es/elasticsearch/plugins
mkdir -p /data/docker/es/kibana/config

 elasticsearch.yml文件

vi /data/docker/es/elasticsearch/config/elasticsearch.yml
#内容如下：
http.port: 9200
http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*"
#设置权限
xpack.security.enabled: true
xpack.security.transport.ssl.enabled: true

 kibana.yml文件

vi /data/docker/es/kibana/config/kibana.yml
#内容如下：
server.name: kibana
# kibana的主机地址 0.0.0.0可表示监听所有IP
server.host: "0.0.0.0"
# kibana访问es的URL
elasticsearch.hosts: [ "http://elasticsearch:9200" ]
elasticsearch.username: 'elastic'
elasticsearch.password: 'java@2023#'
# 显示登陆页面
xpack.monitoring.ui.container.elasticsearch.enabled: true
# 语言
i18n.locale: "zh-CN"

docker-compose.yaml文件

version: '3.1'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.9.3
    container_name: elasticsearch
    environment:
      - "discovery.type=single-node"
      - "bootstrap.memory_lock=true"
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - ./elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - ./elasticsearch/data:/usr/share/elasticsearch/data 
      - ./elasticsearch/plugins:/usr/share/elasticsearch/plugins
    ulimits:
      memlock:
        soft: -1
        hard: -1
    ports:
      - 9200:9200
      - 9300:9300
    restart: always
    networks:
      - bq_pro
  kibana:
    image: docker.elastic.co/kibana/kibana:7.9.3
    container_name: kibana
    depends_on:
      - elasticsearch
    volumes:
      - ./kibana/config/kibana.yml:/usr/share/kibana/config/kibana.yml
    environment:
      - "ELASTICSEARCH_URL=http://elasticsearch:9200"
      - "I18N_LOCALE=zh-CN"
    ports:
      - 5601:5601
    restart: always
    networks:
      - bq_pro
networks:
  bq_pro:
    external: true

启动

cd /data/docker/es
docker-compose up -d

设置密码

进入到elasticsearch容器执行：

#进入到容器
docker exec -it elasticsearch bash
#到bin目录
cd /usr/share/elasticsearch/bin
#设置密码
elasticsearch-setup-passwords interactive
# 输入y 然后依次设置密码即可

访问

elasticsearch：127.0.0.1:9200

kibana：127.0.0.1:5601

安装IK分词器

下载地址：medcl/elasticsearch-analysis-ik: The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary. (github.com)

将下载的压缩文件上传到服务器,解压

cd /data/docker/es/elasticsearch/plugins
mkdir ik
unzip elasticsearch-analysis-ik-7.9.3.zip
chmod -R 777 /data/docker/es/elasticsearch/plugins/ik

进入到elasticsearch容器查看插件

docker exec -it elasticsearch bash
cd bin
elasticsearch-plugin list

 

 看到上图内容说明安装成功，然后重启elasticsearch验证

进入kibana 原始分词器分析

POST _analyze
{
  "analyzer": "standard",
  "text": ["我是中国人"]
}

IK分词器分析

POST _analyze
{
  "analyzer": "ik_smart",
  "text": ["我是中国人"]
}

 

 可以看到ik分词器分词更为合理

自定义分词拓展词库

进入到ik配置目录

cd /data/docker/es/elasticsearch/plugins/ik/config
#编写自己的字典
vi my_dic.dic
#将字典加入到配置
vi IKAnalyzer.cfg.xml

        IK Analyzer 扩展配置
        
        my_dic.dic
         
        
        
        
        
        

也可以将网络字典加入到配置里例如：

http://127.0.0.1/dic/my_dic.dic

最后重启即可