1.下载镜像

1.1存储和检索数据

docker pull elasticsearch:7.4.2  

1.2可视化检索数据

docker pull kibana:7.4.2

2.创建elasticsearch实例

创建本地挂载数据卷配置目录
mkdir -p /software/elasticsearch/config  
创建本地挂载数据卷数据目录
mkdir -p /software/elasticsearch/data
写入远程任何机器访问配置
echo "http.host: 0.0.0.0" >> /software/elasticsearch/config/elasticsearch.yml

9200 发送http请求端口
9300 es分布式集群状态下节点通信端口
"discovery.type=single-node"  单节点模式运行
ES_JAVA_OPTS="-Xms64m-Xmx256m" 指定es运行最小，最大内存   

chmod -R 777 /software/elasticsearch/ 设置权限
未设置权限："Caused by: java.nio.file.AccessDeniedException: /usr/share/elasticsearch/data/nodes"

docker run -d -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx256m" -v /software/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v /software/elasticsearch/data:/usr/share/elasticsearch/data -v /software/elasticsearch/plugins:/usr/share/elasticsearch/plugins   --name=elasticsearch7.4.2 elasticsearch:7.4.2	

3.创建Kibana实例

ELASTICSEARCH_HOSTS  指定ES主机地址
docker run -d -p 5601:5601 -e ELASTICSEARCH_HOSTS=http://192.168.179.101:9200 --name=kibana7.4.2 kibana:7.4.2

4.安装分词器插件

1.解压

elasticsearch-analysis-ik 7.4.2版本(与ES版本一致)
将下载的分词器压缩包 解压到 本地挂载数据卷插件目录，解压完成后会同步到docker elasticsearch容器/usr/share/elasticsearch/plugins插件目录下

2.进入elasticsearch容器内部查看是否已同步

docker exec -it elasticsearch7.4.2 /bin/bash

3.更改ik目录权限

chmod -R 777 ik/

4.验证ik分词器是否安装好

进入elasticsearch bin目录执行elasticsearch-plugin list(列出安装好的ES插件)

5.重启ES容器实例

6.kibana中使用ik分词器

POST _analyze
{
  "analyzer": "ik_smart",
  "text": "我的项目"
}


{
  "tokens" : [
    {
      "token" : "我",
      "start_offset" : 0,
      "end_offset" : 1,
      "type" : "CN_CHAR",
      "position" : 0
    },
    {
      "token" : "的",
      "start_offset" : 1,
      "end_offset" : 2,
      "type" : "CN_CHAR",
      "position" : 1
    },
    {
      "token" : "项目",
      "start_offset" : 2,
      "end_offset" : 4,
      "type" : "CN_WORD",
      "position" : 2
    }
  ]
}