ElasticSearch 结合了匹配和函数得分查询

Question

我有一个复杂的查询要在跨多个字段（嵌套和非嵌套）的 elasticsearch 中运行。我在multi-field match 和nested field match 中使用bool should 查询。

另外，我想要一个综合评分，它考虑到其他几个参数，例如位置、评级等。

我尝试运行一个简化的概念证明组合查询，它查找匹配项并尝试对其他字段使用函数分数，但我遇到了来自 es 的错误。

GET init/restaurant/_search/
{


         "query": { 
           "match": {
           "cuisine_categories": "Oriental"
           },
          "function_score": {
                "functions": [
                  {
                    "gauss": {
                      "coordinates": { 
                        "origin": { "lat": 74.20, "lon": 31.23 },
                        "offset": "1km",
                        "scale":  "3km"
                      }
                    }
                  },
                  {
                    "gauss": {
                      "nomnom_rating": { 
                        "origin": "4.5", 
                        "offset": "0.5",
                        "scale":  "1"
                      }
                    },
                    "weight": 2
                  },
                  {
                    "gauss": {
                      "estimated_preparation_time": {
                        "origin": "30",
                        "offset": "10",
                        "scale": "20"
                      }
                    },
                      "weight": 5
                  }
                ]
              }
            }
}

Answer 1

查询无效。 match 子句应该在function score 的查询对象内，如下所示

例子：

POST init/restaurant/_search/
{
   "query": {
      "function_score": {
         "functions": [
            {
               "gauss": {
                  "coordinates": {
                     "origin": {
                        "lat": 74.2,
                        "lon": 31.23
                     },
                     "offset": "1km",
                     "scale": "3km"
                  }
               }
            },
            {
               "gauss": {
                  "nomnom_rating": {
                     "origin": "4.5",
                     "offset": "0.5",
                     "scale": "1"
                  }
               },
               "weight": 2
            },
            {
               "gauss": {
                  "estimated_preparation_time": {
                     "origin": "30",
                     "offset": "10",
                     "scale": "20"
                  }
               },
               "weight": 5
            }
         ],
         "query": {
            "match": {
               "cuisine_categories": "Oriental"
            }
         }
      }
   }
}