【Elasticsearch系列三】分词器介绍-CFANZ编程社区

博客目录

1.ik 分词器种类
2.standard 分词器
3.ik_max_word
4.ik_smart
5.mysql 热更新词库

1.下载源码
2.修改源
3.mvn package 打包代码
4.解压缩 ik 压缩包
5.修改 jdbc 相关配置
6.重启 es
7.在 mysql 中添加词库与停用词
8.分词实验，验证热更新生效

1.ik 分词器种类

standard 分词器
ik_max_word 分词器
ik_smart 分词器

2.standard 分词器

GET /_analyze
{
  "analyzer": "standard",
  "text": "中华人民共和国人民大会堂"
}

{
  "tokens": [
    {
      "token": "中",
      "start_offset": 0,
      "end_offset": 1,
      "type": "<IDEOGRAPHIC>",
      "position": 0
    },
    {
      "token": "华",
      "start_offset": 1,
      "end_offset": 2,
      "type": "<IDEOGRAPHIC>",
      "position": 1
    },
    {
      "token": "人",
      "start_offset": 2,
      "end_offset": 3,
      "type": "<IDEOGRAPHIC>",
      "position": 2
    },
    {
      "token": "民",
      "start_offset": 3,
      "end_offset": 4,
      "type": "<IDEOGRAPHIC>",
      "position": 3
    },
    {
      "token": "共",
      "start_offset": 4,
      "end_offset": 5,
      "type": "<IDEOGRAPHIC>",
      "position": 4
    },
    {
      "token": "和",
      "start_offset": 5,
      "end_offset": 6,
      "type": "<IDEOGRAPHIC>",
      "position": 5
    },
    {
      "token": "国",
      "start_offset": 6,
      "end_offset": 7,
      "type": "<IDEOGRAPHIC>",
      "position": 6
    },
    {
      "token": "人",
      "start_offset": 7,
      "end_offset": 8,
      "type": "<IDEOGRAPHIC>",
      "position": 7
    },
    {
      "token": "民",
      "start_offset": 8,
      "end_offset": 9,
      "type": "<IDEOGRAPHIC>",
      "position": 8
    },
    {
      "token": "大",
      "start_offset": 9,
      "end_offset": 10,
      "type": "<IDEOGRAPHIC>",
      "position": 9
    },
    {
      "token": "会",
      "start_offset": 10,
      "end_offset": 11,
      "type": "<IDEOGRAPHIC>",
      "position": 10
    },
    {
      "token": "堂",
      "start_offset": 11,
      "end_offset": 12,
      "type": "<IDEOGRAPHIC>",
      "position": 11
    }
  ]
}

3.ik_max_word

GET /_analyze
{
  "analyzer": "ik_max_word",
  "text": "中华人民共和国人民大会堂"
}

{
  "tokens": [
    {
      "token": "中华人民共和国",
      "start_offset": 0,
      "end_offset": 7,f
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "中华人民",
      "start_offset": 0,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 1
    },
    {
      "token": "中华",
      "start_offset": 0,
      "end_offset": 2,
      "type": "CN_WORD",
      "position": 2
    },
    {
      "token": "华人",
      "start_offset": 1,
      "end_offset": 3,
      "type": "CN_WORD",
      "position": 3
    },
    {
      "token": "人民共和国",
      "start_offset": 2,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 4
    },
    {
      "token": "人民",
      "start_offset": 2,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 5
    },
    {
      "token": "共和国",
      "start_offset": 4,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 6
    },
    {
      "token": "共和",
      "start_offset": 4,
      "end_offset": 6,
      "type": "CN_WORD",
      "position": 7
    },
    {
      "token": "国人",
      "start_offset": 6,
      "end_offset": 8,
      "type": "CN_WORD",
      "position": 8
    },
    {
      "token": "人民大会堂",
      "start_offset": 7,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 9
    },
    {
      "token": "人民大会",
      "start_offset": 7,
      "end_offset": 11,
      "type": "CN_WORD",
      "position": 10
    },
    {
      "token": "人民",
      "start_offset": 7,
      "end_offset": 9,
      "type": "CN_WORD",
      "position": 11
    },
    {
      "token": "大会堂",
      "start_offset": 9,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 12
    },
    {
      "token": "大会",
      "start_offset": 9,
      "end_offset": 11,
      "type": "CN_WORD",
      "position": 13
    },
    {
      "token": "会堂",
      "start_offset": 10,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 14
    }
  ]
}

4.ik_smart

GET /_analyze
{
  "analyzer": "ik_smart",
  "text": "中华人民共和国人民大会堂"
}

{
  "tokens": [
    {
      "token": "中华人民共和国",
      "start_offset": 0,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "人民大会堂",
      "start_offset": 7,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 1
    }
  ]
}

5.mysql 热更新词库

1.下载源码

https://github.com/medcl/elasticsearch-analysis-ik/releases

ik 分词器，是个标准的 java maven 工程，直接导入 idea 就可以看到源码

2.修改源

org.wltea.analyzer.dic.Dictionary 类，160 行 Dictionary 单例类的初始化方法，在这里需要创建一个我们自定义的线程，并且启动它
org.wltea.analyzer.dic.HotDictReloadThread 类：就是死循环，不断调用 Dictionary.getSingleton().reLoadMainDict()，去重新加载词典
Dictionary 类，399 行：this.loadMySQLExtDict(); 加载 mymsql 字典。
Dictionary 类，609 行：this.loadMySQLStopwordDict();加载 mysql 停用词
config 下 jdbc-reload.properties。mysql 配置文件

3.mvn package 打包代码

target\releases\elasticsearch-analysis-ik-7.3.0.zip

4.解压缩 ik 压缩包

将 mysql 驱动 jar，放入 ik 的目录下

5.修改 jdbc 相关配置

6.重启 es

观察日志，日志中就会显示我们打印的那些东西，比如加载了什么配置，加载了什么词语，什么停用词

7.在 mysql 中添加词库与停用词

8.分词实验，验证热更新生效

GET /_analyze
{
  "analyzer": "ik_smart",
  "text": "喊麦"
}

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【Elasticsearch系列三】分词器介绍_elasticsearch_02