elasticsearch - 应该+ ElasticSearch中的distance_function

Question

我正在尝试在Elasticsearch中返回的值中考虑地理位置的接近性。我希望近距离比某些字段(例如legal_name)重要，但比其他字段重要。
从文档看来，当前的方法是使用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。实际上，如果我删除了must值，则似乎分数是基于更远的距离得出的。即，更高的分数与更远的距离相关。当然，我想要的是让近距离奖励分数。任何关于我可能做错事情的建议都值得赞赏...
(注意-“坐标”字段的类型为geo_point)
简化文件

{
_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",
}
}

询问

{
    "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，而是使用了高斯函数。
{
“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
  }]
}

}
}`