需要在单词之间搜索ElasticSearch请建议我如何处理

lvmkulzt 于 2021-06-10 发布在 ElasticSearch

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嗨，我在寻找搜索功能，我们需要在ElasticSearch词之间搜索。ryt现在我们的搜索工作就像如果我们要搜索“公司名称”我们需要搜索“c”，“n”，“co”，“comp”，“na”，“nam”，但如果我们搜索“mp”，“any”，“ame”，“me”，“p”结果应该给出“公司名称”。请建议我们如何处理这是有任何这样的搜索功能类型，我尝试了通配符，但它不适用于多个领域请建议，如果我错过了什么或建议我如何实现。

Java elasticsearch search

来源：https://stackoverflow.com/questions/64975316/need-to-search-between-words-in-elastic-search-please-advice-how-can-i-handle

1条答案

按热度按时间

ocebsuys1#

您可以使用n-gram标记器，当文本遇到指定字符列表中的一个字符时，它首先将文本分解为单词，然后发出指定长度的每个单词的n-gram。
添加索引数据、Map、搜索查询和结果的工作示例。
索引Map：

{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "ngram",
          "min_gram": 1,
          "max_gram": 20,
          "token_chars": [
            "letter",
            "digit"
          ]
        }
      }
    },
    "max_ngram_diff": 50
  },
  "mappings": {
    "properties": {
      "body": {
        "type": "text",
        "analyzer": "my_analyzer"
      }
    }
  }
}

分析api

GET/_analzye
{
  "analyzer" : "my_analyzer",
  "text" : "company name"
}

生成以下令牌

{
  "tokens": [
    {
      "token": "c",
      "start_offset": 0,
      "end_offset": 1,
      "type": "word",
      "position": 0
    },
    {
      "token": "co",
      "start_offset": 0,
      "end_offset": 2,
      "type": "word",
      "position": 1
    },
    {
      "token": "com",
      "start_offset": 0,
      "end_offset": 3,
      "type": "word",
      "position": 2
    },
    {
      "token": "comp",
      "start_offset": 0,
      "end_offset": 4,
      "type": "word",
      "position": 3
    },
    {
      "token": "compa",
      "start_offset": 0,
      "end_offset": 5,
      "type": "word",
      "position": 4
    },
    {
      "token": "compan",
      "start_offset": 0,
      "end_offset": 6,
      "type": "word",
      "position": 5
    },
    {
      "token": "company",
      "start_offset": 0,
      "end_offset": 7,
      "type": "word",
      "position": 6
    },
    {
      "token": "o",
      "start_offset": 1,
      "end_offset": 2,
      "type": "word",
      "position": 7
    },
    {
      "token": "om",
      "start_offset": 1,
      "end_offset": 3,
      "type": "word",
      "position": 8
    },
    {
      "token": "omp",
      "start_offset": 1,
      "end_offset": 4,
      "type": "word",
      "position": 9
    },
    {
      "token": "ompa",
      "start_offset": 1,
      "end_offset": 5,
      "type": "word",
      "position": 10
    },
    {
      "token": "ompan",
      "start_offset": 1,
      "end_offset": 6,
      "type": "word",
      "position": 11
    },
    {
      "token": "ompany",
      "start_offset": 1,
      "end_offset": 7,
      "type": "word",
      "position": 12
    },
    {
      "token": "m",
      "start_offset": 2,
      "end_offset": 3,
      "type": "word",
      "position": 13
    },
    {
      "token": "mp",
      "start_offset": 2,
      "end_offset": 4,
      "type": "word",
      "position": 14
    },
    {
      "token": "mpa",
      "start_offset": 2,
      "end_offset": 5,
      "type": "word",
      "position": 15
    },
    {
      "token": "mpan",
      "start_offset": 2,
      "end_offset": 6,
      "type": "word",
      "position": 16
    },
    {
      "token": "mpany",
      "start_offset": 2,
      "end_offset": 7,
      "type": "word",
      "position": 17
    },
    {
      "token": "p",
      "start_offset": 3,
      "end_offset": 4,
      "type": "word",
      "position": 18
    },
    {
      "token": "pa",
      "start_offset": 3,
      "end_offset": 5,
      "type": "word",
      "position": 19
    },
    {
      "token": "pan",
      "start_offset": 3,
      "end_offset": 6,
      "type": "word",
      "position": 20
    },
    {
      "token": "pany",
      "start_offset": 3,
      "end_offset": 7,
      "type": "word",
      "position": 21
    },
    {
      "token": "a",
      "start_offset": 4,
      "end_offset": 5,
      "type": "word",
      "position": 22
    },
    {
      "token": "an",
      "start_offset": 4,
      "end_offset": 6,
      "type": "word",
      "position": 23
    },
    {
      "token": "any",
      "start_offset": 4,
      "end_offset": 7,
      "type": "word",
      "position": 24
    },
    {
      "token": "n",
      "start_offset": 5,
      "end_offset": 6,
      "type": "word",
      "position": 25
    },
    {
      "token": "ny",
      "start_offset": 5,
      "end_offset": 7,
      "type": "word",
      "position": 26
    },
    {
      "token": "y",
      "start_offset": 6,
      "end_offset": 7,
      "type": "word",
      "position": 27
    },
    {
      "token": "n",
      "start_offset": 8,
      "end_offset": 9,
      "type": "word",
      "position": 28
    },
    {
      "token": "na",
      "start_offset": 8,
      "end_offset": 10,
      "type": "word",
      "position": 29
    },
    {
      "token": "nam",
      "start_offset": 8,
      "end_offset": 11,
      "type": "word",
      "position": 30
    },
    {
      "token": "name",
      "start_offset": 8,
      "end_offset": 12,
      "type": "word",
      "position": 31
    },
    {
      "token": "a",
      "start_offset": 9,
      "end_offset": 10,
      "type": "word",
      "position": 32
    },
    {
      "token": "am",
      "start_offset": 9,
      "end_offset": 11,
      "type": "word",
      "position": 33
    },
    {
      "token": "ame",
      "start_offset": 9,
      "end_offset": 12,
      "type": "word",
      "position": 34
    },
    {
      "token": "m",
      "start_offset": 10,
      "end_offset": 11,
      "type": "word",
      "position": 35
    },
    {
      "token": "me",
      "start_offset": 10,
      "end_offset": 12,
      "type": "word",
      "position": 36
    },
    {
      "token": "e",
      "start_offset": 11,
      "end_offset": 12,
      "type": "word",
      "position": 37
    }
  ]
}

索引数据：

{
  "body": "company name"
}

搜索查询：

{
  "query": {
    "match": {
      "body": "ame"
    }
  }
}

搜索结果：

"hits": [
      {
        "_index": "64975316",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.941854,
        "_source": {
          "body": "company name"
        }
      }
    ]

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需要在单词之间搜索ElasticSearch请建议我如何处理

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