应该 + ElasticSearch 中的 distance_function

Question

我试图在 Elasticsearch 中返回的值中加权地理邻近性。我希望紧密接近不如某些字段（例如legal_name）重要，但比其他字段更重要。

从文档看来，目前的做法是使用distance_feature。但是，我创建的应该条件永远不会以任何相关方式改变结果。事实上，如果我取出必须值，看起来分数是基于 更远的距离。也就是说，更高的分数与更远的距离相关。当然，我想要的是近距离奖励分数。对我可能做错的任何建议表示赞赏......

（注意 - 'coordinate' 字段的类型为 geo_point）

简化文档

{
_index: "organizations",
_type: "_doc",
_id: "3",
_version: 9,
_seq_no: 16944,
_primary_term: 5,
found: true,
_source: {
   id: 3,
   legal_name: "Air Canada",
   operating_name: "Air Canada",
   ...
   coordinate: "43.85133,-79.36572",
}
}

查询

{
    "from": 0,
    "size": 100,
    "query": {
        "bool": {
            "must": [{
                "multi_match": {
                    "query": "Air Canada",
                    "fields": ["legal_name^7","operating_name^7","interest_areas^4","city^3", "description","state","country"
                    ]
                }},
                {"term" : { "organization_type.keyword": "Sponsor" }},
                {"term" : { "approved" : true }}
            ],
            "should": {
              "distance_feature": {
                "field": "coordinate",
                "pivot": "25km",
                "origin": [43.63, -79.3716],
                "boost": 5.0
              }
            }
        }
    }
}```

Answer 1

最后我放弃了distance_feature，改用了高斯函数。

{ “来自”：0， “大小”：20， “查询”：{

"function_score": {
  "query": {
    "bool": {
      "must": [{
        "multi_match": {
            "query": "national bank",
            "fields": ["legal_name^0.7", "operating_name^0.7", "interest_areas^0.4", "city^0.4", "description^0.4", "state^0.1", "country^0.1"]
        }},
        {"term" : { "organization_type.keyword": "Sponsor" }},
        {"term" : { "approved" : true }}
      ]
    }
  },
  "boost": "1",
  "boost_mode": "sum",
  "functions": [{
    "gauss": {
      "coordinate": {
        "origin": { "lat": 43.63, "lon": -79.3716 },
        "offset": "500km",
        "decay": 0.5,
        "scale": "100km"
      }
    },
    "weight": 1
  }]
}

} }`