【elasticsearch】docker下elasticsearch 安装ik分词器

第一种方法：

1）、安装ik分词器

注意：不能用默认elasticsearch-plugin install xxx.zip 进行自动安装
https://github.com/medcl/elasticsearch-analysis-ik/releases?after=v6.4.2 对应es版本安装

docker exec -it elasticsearch /bin/bash

进入es容器内部 默认在/usr/share/elasticsearch目录下

1. 下载解压压缩包
2. 分词器放入plugins目录中
3. 在bin目录中校验是否安装成功

wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v5.6.11/elasticsearch-analysis-ik-5.6.11.zip

unzip 下载的文件
rm –rf *.zip
mv elasticsearch/ /usr/share/elasticsearch/plugins/ik

可以确认是否安装好了分词器

cd /usr/share/elasticsearch/bin
elasticsearch-plugin list

即可列出系统的分词器

然后重启elasticsearch

docker restart elasticsearch

如果wget的时候慢 可以下载下来复制到容器中 然后再解压

docker cp xxx.txt docker容器名或id:/xxx/xxx/xxxx
本地文件绝对路径 docker容器中文件路径

2）、测试分词器

索引（新增）一个文档

PUT bank/external/1
{
  "name": "John Doe"
}

使用默认

GET bank/_analyze
{  
  "text": "我是中国人"
}

请观察结果

{
  "tokens": [
    {
      "token": "我",
      "start_offset": 0,
      "end_offset": 1,
      "type": "",
      "position": 0
    },
    {
      "token": "是",
      "start_offset": 1,
      "end_offset": 2,
      "type": "",
      "position": 1
    },
    {
      "token": "中",
      "start_offset": 2,
      "end_offset": 3,
      "type": "",
      "position": 2
    },
    {
      "token": "国",
      "start_offset": 3,
      "end_offset": 4,
      "type": "",
      "position": 3
    },
    {
      "token": "人",
      "start_offset": 4,
      "end_offset": 5,
      "type": "",
      "position": 4
    }
  ]
}

使用分词器

GET bank/_analyze
{  "analyzer": "ik_smart", 
  "text": "我是中国人"
}

请观察结果

{
  "tokens": [
    {
      "token": "我",
      "start_offset": 0,
      "end_offset": 1,
      "type": "CN_CHAR",
      "position": 0
    },
    {
      "token": "是",
      "start_offset": 1,
      "end_offset": 2,
      "type": "CN_CHAR",
      "position": 1
    },
    {
      "token": "中国人",
      "start_offset": 2,
      "end_offset": 5,
      "type": "CN_WORD",
      "position": 2
    }
  ]
}

另外一个分词器
ik_max_word

GET bank/_analyze
{  "analyzer": "ik_max_word", 
"text": "我是中国人"
}

请观察结果

{
  "tokens": [
    {
      "token": "我",
      "start_offset": 0,
      "end_offset": 1,
      "type": "CN_CHAR",
      "position": 0
    },
    {
      "token": "是",
      "start_offset": 1,
      "end_offset": 2,
      "type": "CN_CHAR",
      "position": 1
    },
    {
      "token": "中国人",
      "start_offset": 2,
      "end_offset": 5,
      "type": "CN_WORD",
      "position": 2
    },
    {
      "token": "中国",
      "start_offset": 2,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 3
    },
    {
      "token": "国人",
      "start_offset": 3,
      "end_offset": 5,
      "type": "CN_WORD",
      "position": 4
    }
  ]
}

能够看出不同的分词器，分词有明显的区别，所以以后定义一个type不能再使用默认的mapping了，要手工建立mapping, 因为要选择分词器。

第二种方法：

https://github.com/pipizhang/docker-elasticsearch-analysis-ik