Elasticsearch字段值因子具有多重匹配？

Question

我正在用它来搜索我的服装：

def self.search(query, purchasedlow, purchasedhigh)
__elasticsearch__.search(
{
  query: {
    function_score: {
      query: {
        bool: {
          filter: [
            {
              multi_match: {
                query: query,
                fields: ['name','description','material']
              }
            },
            {
              range: {
                purchased: { lte: purchasedhigh.to_i, gte: purchasedlow.to_i},
              },          
            }
          ]
        }
      }
    }
  }
}
)
end

但是我不知道如何添加以下代码：

    field_value_factor: {
      field: "likes",
      factor: "100"
    }

我知道我应该将其放在函数分数之后，以便将计算出的分数乘以喜欢的数量即可得出最终分数，但是当我将代码放在function_score之后时，出现以下错误：

[400] {"error":{"root_cause":[{"type":"parsing_exception","reason":"[function_score] malformed query, expected [END_OBJECT] but found [FIELD_NAME]","line":1,"col":232}],"type":"parsing_exception","reason":"[function_score] malformed query, expected [END_OBJECT] but found [FIELD_NAME]","line":1,"col":232},"status":400}

我需要将字段值因子放在哪里才能使其正常工作？

Answer 1

我在以下查询之一中使用了field_value_factor：

@products = Product.search(
 query:{
   function_score:{
     query:{
       bool:{
         must:{
           multi_match:{
             fields: ['brand^5', '_all'],
             query: "#{query}",
             fuzziness: "AUTO"
           }
         },

           filter:{
             bool:{
               must:[
                 {term: {"brand":"NordicTrack"}},
                 {term: {"product_type":"Treadmill"}}
               ]
             }
           }

       }
     },
     field_value_factor:{
        field: "popularity",
        modifier: "log1p"
     }
   }
 })