Elasticsearch 查询返回部分搜索词

Question

如果我搜索“thank”，我想知道如何返回“thanks”或“thanking” 目前我有一个多重匹配查询，它只返回出现的“谢谢”，比如“谢谢”，而不是“感恩节”或“谢谢”。我正在使用 ElasticSearch 7.9.1

query: {
                bool: {
                    must: [
                        {match: {accountId}},
                        {
                            multi_match: {
                                query: "thank",
                                type: "most_fields",
                                fields: ["text", "address", "description", "notes", "name"],
                            }
                        }
                    ],
                    filter: {match: {type: "personaldetails"}}
                }
            },

还可以将多重匹配查询与其中一个字段上的 queryString 结合起来（比如描述，我只会在描述上进行查询字符串搜索，在其他字段上进行短语匹配）

    {   "query": {
        "query_string": {
          "query": "(new york city) OR (big apple)",
          "default_field": "content"
        }   
       } 
     }

感谢任何输入。 谢谢

Answer 1

您可以使用 edge_ngrma tokenizer 将文本首先分解为 每当遇到指定字符列表中的一个时， 然后它发出每个单词的 N-gram，其中 N-gram 的开头是 锚定到单词的开头。

添加一个包含索引数据、映射、搜索查询和搜索结果的工作示例

索引映射：

    {
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "edge_ngram",
          "min_gram": 5,
          "max_gram": 20,
          "token_chars": [
            "letter",
            "digit"
          ]
        }
      }
    },
    "max_ngram_diff": 50
  },
  "mappings": {
    "properties": {
      "notes": {
        "type": "text",
        "analyzer": "my_analyzer",
        "search_analyzer": "standard"    // note this
      }
    }
  }
}

索引数据：

{
    "notes":"thank"
}
{
    "notes":"thank you"
}
{
    "notes":"thanks"
}
{
    "notes":"thanksgiving"
}

搜索查询：

{
  "query": {
    "multi_match" : {
      "query":    "thank", 
      "fields": [ "notes", "name" ] 
    }
  }
}

搜索结果：

"hits": [
      {
        "_index": "65511630",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.1448707,
        "_source": {
          "notes": "thank"
        }
      },
      {
        "_index": "65511630",
        "_type": "_doc",
        "_id": "3",
        "_score": 0.1448707,
        "_source": {
          "notes": "thank you"
        }
      },
      {
        "_index": "65511630",
        "_type": "_doc",
        "_id": "2",
        "_score": 0.12199639,
        "_source": {
          "notes": "thanks"
        }
      },
      {
        "_index": "65511630",
        "_type": "_doc",
        "_id": "4",
        "_score": 0.06264679,
        "_source": {
          "notes": "thanksgiving"
        }
      }
    ]

要将多重匹配查询与查询字符串结合，请使用以下查询：

{
  "query": {
    "bool": {
      "must": {
        "multi_match": {
          "query": "thank",
          "fields": [
            "notes",
            "name"
          ]
        }
      },
      "should": {
        "query_string": {
          "query": "(new york city) OR (big apple)",
          "default_field": "content"
        }
      }
    }
  }
}