弹性搜索：字符串数组上的精确匹配查询

Question

鉴于这份文件：

{"name": "Perfect Sunny-Side Up Eggs","ingredientList": ["canola oil","eggs"]}

如何在弹性搜索中构建查询以返回给定查询词“油蛋”的字符串数组的完全匹配，到目前为止，这就是我所拥有的，但它返回其他不相关的文档：

POST /recipes/recipe/_search
{
   "query": {
      "match": {
         "ingredientList": {
            "query": [
               "oil",
               "eggs"
            ],
            "operator": "and"
         }
      }
   }
}

例如，返回此文档但它不包含“油”。结果应该只包含“油”和“鸡蛋”：

{"name": "Quick Baked French Toast","ingredientList": ["butter","cinnamon raisin bread","eggs"]}

Answer 1

Elastic 没有用于精确匹配数组的 API。但同样可以使用两种方法实现：

1. 使用多个 must 块（不是首选）

2. 使用terms set查询和script

    "query": {
      "bool": {
        "must": [
          {
            "terms_set": {
              "ingredientList": {
                "terms": ingredients,
                "minimum_should_match_script": {
                  "source": "Math.min(params.num_terms, {})".format(len(ingredients))
                }
              }
            }
          },
          {
            "script": {
              "script": {
                "inline": "doc['ingredientList'].length == params.list_length",
                "lang": "painless",
                "params": {
                  "list_length": len(ingredients)
                }
              }
            }
          }
        ]
      }
    }
   

Answer 2

您的查询将如下所示：

{
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "ingredientList": "oil"
          }
        },
        {
          "term": {
            "ingredientList": "eggs"
          }
        }
      ]
    }
  }
}

给我结果：

{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "ingredients",
      "_type" : "recipe",
      "_id" : "AVeprXFrNutW6yNguPqp",
      "_score" : 1.0,
      "_source" : {
        "name" : "Perfect Sunny-Side Up Eggs",
        "ingredientList" : [ "canola oil", "eggs" ]
      }
    } ]
  }
}