python - 如何在具有属性层次结构的DSL查询中增加权重

Question

我需要搜索更多比重professor.name

然后要获取权重的下一个属性是professor.email

检查搜索字符串所在的其他字段

以下是elasticsearch中的样本数据

   PUT /data/test/1
 {
       "id": "Accounting 101",
       "room": "E3",
       "professor": {
           "name": "Thomas Baszo",
           "email": "baszot@onuni.com"
           },
       "students_enrolled": 27,
       "course_description": " financial statements"
   }
   
   PUT /data/test/2
   {
       "name": "Accounting 101",
       "room": "E3",
       "professor": {
           "name": "Sachin Baszo",
           "email": "baszot@onuni.com"
           },
       "students_enrolled": 27, 
       "course_description": "Thomas  Thomas Thomas Thomas "
   }

   PUT /data/test/3
   {
       "name": "Accounting 101",
       "room": "E3",
       "professor": {
           "name": "Sachin Baszo",
           "email": "Thomas@onuni.com"
           },
       "students_enrolled": 27, 
       "course_description": "Nothing"
   }

下面是查询

GET /_search
{
  "query": {
    "query_string": {
      "query": "(*Thomas*)"
    }
  }
}

我的输出将第二个文档显示为第一个文档，因为它在描述中包含“Thomas” 4次

我需要给professor.name更大的权重，它应该首先显示是否检查，然后检查“professor.email”，然后检查其他属性

预期输出的是 1,3,2 1，因为名称，3由于电子邮件，2由于描述
python es.search(index="data", body={"query": {"query_string": {"query": "(*Thomas*)"}}})

Answer 1

添加带有索引数据，搜索查询和搜索结果的工作示例
如boost中所述，在创建索引的同时，previous answer也可以应用于各个字段
索引数据:

{
    "id": "Accounting 101",
    "room": "E3",
    "professor": {
        "name": "Thomas Baszo",
        "email": "baszot@onuni.com"
    },
    "students_enrolled": 27,
    "course_description": " financial statements"
}
{
    "name": "Accounting 101",
    "room": "E3",
    "professor": {
        "name": "Sachin Baszo",
        "email": "baszot@onuni.com"
    },
    "students_enrolled": 27,
    "course_description": "Thomas  Thomas Thomas Thomas "
}
{
    "name": "Accounting 101",
    "room": "E3",
    "professor": {
        "name": "Baszo",
        "email": "Thomas@onuni.com"
    },
    "students_enrolled": 27,
    "course_description": "Nothing"
}

搜索查询:

{
  "query": {
    "function_score": {
      "query": {
        "multi_match": {
          "query": "Thomas",
          "fields": [
            "professor.name^16",
            "professor.email^8",
            "course_description^4"
          ]
        }
      },
      "boost_mode": "multiply"
    }
  }
}

搜索结果:

"hits": [
      {
        "_index": "stof_63933144",
        "_type": "_doc",
        "_id": "1",
        "_score": 14.506382,
        "_source": {
          "id": "Accounting 101",
          "room": "E3",
          "professor": {
            "name": "Thomas Baszo",
            "email": "baszot@onuni.com"
          },
          "students_enrolled": 27,
          "course_description": " financial statements"
        }
      },
      {
        "_index": "stof_63933144",
        "_type": "_doc",
        "_id": "3",
        "_score": 7.846633,
        "_source": {
          "name": "Accounting 101",
          "room": "E3",
          "professor": {
            "name": "Baszo",
            "email": "Thomas@onuni.com"
          },
          "students_enrolled": 27,
          "course_description": "Nothing"
        }
      },
      {
        "_index": "stof_63933144",
        "_type": "_doc",
        "_id": "2",
        "_score": 5.9089565,
        "_source": {
          "name": "Accounting 101",
          "room": "E3",
          "professor": {
            "name": "Sachin Baszo",
            "email": "baszot@onuni.com"
          },
          "students_enrolled": 27,
          "course_description": "Thomas  Thomas Thomas Thomas "
        }
      }
    ]

更新1:
要搜索bor和 Thomas OR Sachin，可以使用以下查询:

{
  "query": {
    "function_score": {
      "query": {
        "multi_match": {
          "query": "Thomas Sachin",
          "fields": [
            "professor.name^16",
            "professor.email^8",
            "course_description^4"
          ],
          "operator": "OR",
          "type": "cross_fields"
        }
      },
      "boost_mode": "multiply"
    }
  }
}