如何根据另一个字段对 Elasticsearch 中的查询进行排序？

Question

在 Elasticsearch 中，我存储数据如下：

{
  "name" : "John Doe",
  "country" : "India"
},
{
  "name" : "John Doe",
  "country" : "USA"
}

如果用户输入“John”，我将通过以下查询按名称字段进行搜索：

{
    "from": 0,
    "size": 10,
    "query": {
        "bool": {
            "must": [
                {
                    "query_string": {
                        "query": "name:(John*)"
                    }
                }
            ]
        }
    }
}

并得到类似于上面查询的结果：

{
  "name" : "John Doe",
  "country" : "India"
},
{
  "name" : "John William",
  "country" : "USA"
},
{
  "name" : "John Smith",
  "country" : "Canada"
},
{
  "name" : "John Lobo",
  "country" : "India"
}

我得到的所有结果都带有约翰的名字，但我希望约翰来自国家：印度位居榜首，其次是加拿大，然后是所有其他国家。这意味着我必须分别对国家=印度的数据给予比国家=加拿大更多的权重。

国家=印度和加拿大的数据在搜索结果中应该有更高的分数。

我在elasticsearch中发现了一些按值提升功能，但无法根据需要进行查询。我只能在此处指定一个字段值。

{
    "query": {
        "boosting": {
            "positive": {
                "term": {
                    "country.keyword": "India"
                }
            },
            "negative": {
                "match_all": {}
            },
            "negative_boost": 0.5
        }
    }
}

Answer 1

为了您更新的文件

PUT /sorting_by_country/_bulk?refresh
{"create":{"_id":1}}
{"name":"John Doe","country":"India"}
{"create":{"_id":2}}
{"name":"John William","country":"USA"}
{"create":{"_id":3}}
{"name":"John Smith","country":"Canada"}
{"create":{"_id":4}}
{"name":"John Lobo","country":"India"}
{"create":{"_id":5}}
{"name":"James McHartley","country":"Ireland"}

尝试以下查询。

should

部分包含国家及其增强功能

GET /sorting_by_country/_search?filter_path=hits.hits
{
    "from": 0,
    "size": 10,
    "query": {
        "bool": {
            "must": [
                {
                    "query_string": {
                        "query": "name:(John*)"
                    }
                }
            ],
            "should": [
                {
                    "term": {
                        "country.keyword": {
                            "value": "India",
                            "boost": 20
                        }
                    }
                },
                {
                    "term": {
                        "country.keyword": {
                            "value": "Canada",
                            "boost": 2
                        }
                    }
                }
            ]
        }
    }
}

回应

{
    "hits" : {
        "hits" : [
            {
                "_index" : "sorting_by_country",
                "_type" : "_doc",
                "_id" : "1",
                "_score" : 18.509373,
                "_source" : {
                    "name" : "John Doe",
                    "country" : "India"
                }
            },
            {
                "_index" : "sorting_by_country",
                "_type" : "_doc",
                "_id" : "4",
                "_score" : 18.509373,
                "_source" : {
                    "name" : "John Lobo",
                    "country" : "India"
                }
            },
            {
                "_index" : "sorting_by_country",
                "_type" : "_doc",
                "_id" : "3",
                "_score" : 3.7725885,
                "_source" : {
                    "name" : "John Smith",
                    "country" : "Canada"
                }
            },
            {
                "_index" : "sorting_by_country",
                "_type" : "_doc",
                "_id" : "2",
                "_score" : 1.0,
                "_source" : {
                    "name" : "John William",
                    "country" : "USA"
                }
            }
        ]
    }
}

Answer 2

根据https://www.elastic.co/guide/en/elasticsearch/reference/7.17/sort-search-results.html

您可以应用基于脚本的排序，给出的示例是

{
  "query": {
    "term": { "user": "kimchy" }
  },
  "sort": {
    "_script": {
      "type": "number",
      "script": {
        "lang": "painless",
        "source": "doc['field_name'].value * params.factor",
        "params": {
          "factor": 1.1
        }
      },
      "order": "asc"
    }
  }
}

因此，您可以传递您喜欢的脚本，从逻辑上讲，它可以对类似的值进行升序排序

• 印度 ->

  AAAAA

• 加拿大 ->

  AAAAB

• 否则您将使用国家/地区名称