ElasticSearch教程——自定义分词器（转学习使用）

一、分词器

Elasticsearch中，内置了很多分词器（analyzers），例如standard（标准分词器）、english（英文分词）和chinese（中文分词），默认是standard.

standard tokenizer：以单词边界进行切分

standard token filter：什么都不做

lowercase token filter：将所有字母转换为小写

stop token filer（默认被禁用）：移除停用词，比如a the it等等

二、修改分词器设置

启用english，停用词token filter

PUT /my_index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "es_std":{
          "type":"standard",
          "stopwords":"_english_"
        }
      }
    }
  }
}

三、标准分词测试代码

GET /my_index/_analyze
{
  "analyzer": "standard",
  "text":"a dog is in the house"
}

结果：

{
  "tokens": [
    {
      "token": "a",
      "start_offset": 0,
      "end_offset": 1,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "dog",
      "start_offset": 2,
      "end_offset": 5,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "is",
      "start_offset": 6,
      "end_offset": 8,
      "type": "<ALPHANUM>",
      "position": 2
    },
    {
      "token": "in",
      "start_offset": 9,
      "end_offset": 11,
      "type": "<ALPHANUM>",
      "position": 3
    },
    {
      "token": "the",
      "start_offset": 12,
      "end_offset": 15,
      "type": "<ALPHANUM>",
      "position": 4
    },
    {
      "token": "house",
      "start_offset": 16,
      "end_offset": 21,
      "type": "<ALPHANUM>",
      "position": 5
    }
  ]
}

四、设置的英文分词测试代码

GET /my_index/_analyze
{

  "analyzer": "es_std",

  "text":"a dog is in the house"

}

结果：

{
  "tokens": [
    {
      "token": "dog",
      "start_offset": 2,
      "end_offset": 5,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "house",
      "start_offset": 16,
      "end_offset": 21,
      "type": "<ALPHANUM>",
      "position": 5
    }
  ]
}

五、自定义分词器

PUT /my_index
{
  "settings": {
    "analysis": {
      "char_filter": {
        "&_to_and": {
          "type": "mapping",
          "mappings": ["&=> and"]
        }
      },
      "filter": {
        "my_stopwords": {
          "type": "stop",
          "stopwords": ["the", "a"]
        }
      },
      "analyzer": {
        "my_analyzer": {
          "type": "custom",
          "char_filter": ["html_strip", "&_to_and"],
          "tokenizer": "standard",
          "filter": ["lowercase", "my_stopwords"]
        }
      }
    }
  }
}

测试：

GET /my_index/_analyze
{
  "text": "tom&jerry are a friend in the house, <a>, HAHA!!",
  "analyzer": "my_analyzer"
}

结果：

{
  "tokens": [
    {
      "token": "tomandjerry",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "are",
      "start_offset": 10,
      "end_offset": 13,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "friend",
      "start_offset": 16,
      "end_offset": 22,
      "type": "<ALPHANUM>",
      "position": 3
    },
    {
      "token": "in",
      "start_offset": 23,
      "end_offset": 25,
      "type": "<ALPHANUM>",
      "position": 4
    },
    {
      "token": "house",
      "start_offset": 30,
      "end_offset": 35,
      "type": "<ALPHANUM>",
      "position": 6
    },
    {
      "token": "haha",
      "start_offset": 42,
      "end_offset": 46,
      "type": "<ALPHANUM>",
      "position": 7
    }
  ]
}

六、type中的使用

PUT /my_index/_mapping/my_type
{
  "properties": {
    "content": {
      "type": "text",
      "analyzer": "my_analyzer"
    }
  }
}