Elasticsearch如何使用复合查询和排序？

Question

我有两个独立的索引-
1。产品
2。currency_rates

产品索引中的文档具有以下详细信息-

{
       "prod_id" : 1,
       "currency" : "USD",
       "price" : 1
}

currency_rates索引中的文档具有以下详细信息-

{
      "id" : 1,
      "USD" : 1,
      "SGD" : 0.72,
      "MYR" : 0.24,
      "INR" : 0.014,
      "EUR" : 1.12
}

我希望在products index的price字段中实现排序，
但是由于product index中的每个文档可能有不同的货币，
我需要首先将所有货币转换为美元，
并在转换后的ResultSet上进行carryout排序。

[{
    "prod_id": 1,
    "currency": "USD",
    "price": 1

}, {
    "prod_id": 2,
    "currency": "INR",
    "price": 60

}]

{
    "USD": 1,
    "SGD": 0.72,
    "MYR": 0.24,
    "INR": 0.014,
    "EUR": 1.12
}

以下是我的创建查询-

GET curency_rates/_search
{
  "query": {
    "match_all": {}
  }
}

PUT /curency_rates/_doc/1
{
  "id":1,
  "USD" : 1,
  "SGD" : 0.72,
  "MYR" : 0.24,
  "INR" : 0.014,
  "EUR" : 1.12
}


PUT /products/_doc/1?pretty
{
    "prod_id":1,
    "currency": "USD",
    "price": 1
}
PUT /products/_doc/2?pretty
{
    "prod_id":2,
    "currency": "INR",
    "price": 60
}

GET products/_search
{
  "query": {
    "match_all": {}
  }
}

我发现下面的用例与我的用例非常相似，
但我不明白他们是如何在运行时从另一个索引中获取转换因子，然后将其用于他们的复合查询-
弹性搜索排序预处理的

我提出了以下查询，
基于我引用的上面链接中的答案-

GET products/_search
{
    "query": {
        "function_score": {
            "query": {
                "match_all": {}
            },
            "functions": [{
                "script_score": {
                    "script": {
                        "params": {
                            "USD": 1,
                            "SGD": 0.72,
                            "MYR": 0.24,
                            "INR": 0.014,
                            "EUR": 1.12
                        },
                        "source": "doc['price'].value * params.EUR"
                    }
                }
            }]
        }
    }
}

但我得到了错误的结果-

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 4,
      "relation" : "eq"
    },
    "max_score" : 67.2,
    "hits" : [
      {
        "_index" : "products",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 67.2,
        "_source" : {
          "prod_id" : 2,
          "currency" : "INR",
          "price" : 60
        }
      },
      {
        "_index" : "products",
        "_type" : "_doc",
        "_id" : "3",
        "_score" : 2.24,
        "_source" : {
          "prod_id" : 3,
          "currency" : "EUR",
          "price" : 2
        }
      },
      {
        "_index" : "products",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.12,
        "_source" : {
          "prod_id" : 1,
          "currency" : "USD",
          "price" : 1
        }
      },
      {
        "_index" : "products",
        "_type" : "_doc",
        "_id" : "5",
        "_score" : 1.12,
        "_source" : {
          "prod_id" : 5,
          "currency" : "MYR",
          "price" : 1
        }
      }
    ]
  }
}

引用-
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html#function-script-score

https://qbox.io/blog/tcorning-using-elasticsearch-scripts-part1

Answer 1

阅读这个例子。它们具有相同级别的“boost_mode”和“functions”字段。

尝试：

 "functions": [ 
     { 
         "script_score": { 
             "script": MathHere, 
             "params": { 
                 ... 
             } 
         } 
     }
 ], 
 "boost_mode": "replace" 

希望这对你有帮助！：d