elasticsearch - Elasticsearch部分查询

Question

我正在使用Elasticsearch v 7.3.1并尝试实现部分搜索。所有搜索都进行得很好，但是当我查询“ John Oxford Oxford ”时，“John”与文档匹配，但是整个文档中没有“ Oxford ”。但仍显示给我文档而不显示空结果。

我该怎么做，以便在我们查询 John Oxford 时不返回文档？

我的映射，设置，示例文档和学生数据查询如下。

映射

PUT student
{
  "settings": {
    "analysis": {
      "filter": {
        "autocomplete_filter": {
          "type": "edge_ngram",
          "min_gram": 1,
          "max_gram": 20
        }
      },
      "analyzer": {
        "autocomplete": { 
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "autocomplete_filter"
          ]
        }
      }
    }
  }, "mappings" : {
      "properties" : {
        "DOB" : {
          "type" : "text"
        },
        "email" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "first_name" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "home_phone" : {
          "type" : "text"
        },
        "last_name" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "student_id" : {
          "type" : "text"
        }
      }
    }
}

示例文档

POST student/_doc
{
    "DOB": "1983-12-04",
    "email": "johndoe@gmail.fr",
    "first_name": "john",
    "home_phone": 1242432,
    "last_name": "doe",
    "student_id": 28

}

查询

GET student/_search
{
  "query": {
    "multi_match": {
      "query": "john oxford",
      "type": "bool_prefix",
      "analyzer": "standard",
      "fields": [
        "first_name",
        "last_name",
        "email",
        "DOB",
        "home_phone",
        "student_id"
      ]
    }
  }
}

以下是我想要的结果

1242-部分匹配home_phone

joh do-与“John”和“Doe”的部分匹配

1983-12-04-与DOB

匹配

johndoe-电子邮件

上的部分匹配

doe-匹配姓氏

Answer 1

要实现部分搜索，您应该在所需的文本字段中添加特定的autocomplete analyzer并实现特定的search_analyzer，因为您使用的是edgengram过滤器-请阅读here和here进行解释。与您在查询期间指定分析器相比，这样做更舒服。尝试:

PUT student
{
  "settings": {
    "analysis": {
      "filter": {
        "autocomplete_filter": {
          "type": "edge_ngram",
          "min_gram": 1,
          "max_gram": 20
        }
      },
      "analyzer": {
        "autocomplete": { 
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "autocomplete_filter"
          ]
        }
      }
    }
  }, "mappings" : {
      "properties" : {
        "DOB" : {
          "type" : "text",
          "analyzer": "autocomplete",
          "search_analyzer": "standard"
        },
        "email" : {
          "type" : "text",
          "analyzer": "autocomplete",
          "search_analyzer": "standard",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "first_name" : {
          "type" : "text",
          "analyzer": "autocomplete",
          "search_analyzer": "standard",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "home_phone" : {
          "type" : "text",
          "analyzer": "autocomplete",
          "search_analyzer": "standard"
        },
        "last_name" : {
          "type" : "text",
          "analyzer": "autocomplete",
          "search_analyzer": "standard",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "student_id" : {
          "type" : "text"
        }
      }
    }
}

然后，当您查询两个词的自动完成时，应将它们与 and运算符连接起来。对于您的用例， cross-field类型应该是最好的:

GET student/_search
{
  "query": {
    "multi_match" : {
      "query":      "John Oxford",
      "type":       "cross_fields",
      "fields": [
        "first_name",
        "last_name",
        "email",
        "DOB",
        "home_phone",
        "student_id"
      ],
      "operator":   "and" 
    }
  }
}