如何使用 ElasticSearch Painless 脚本查找与先前搜索结果匹配的记录

Question

我在下面附上了索引。

索引中的每个文档都包含 Alice 或 Bob 的姓名和身高以及测量身高的年龄。在 10 岁时进行的测量被标记为 "baseline_height_at_age_10": true

我需要做以下事情：

求爱丽丝和鲍勃在 10 岁时的身高。
Alice 和 Bob 的列表项 Return，身高低于他们 10 岁时身高的记录。

所以我的问题是：Painless 可以进行此类搜索吗？如果你能给我指出一个很好的例子，我会很感激。

另外：ElasticSearch Painless 是解决这个问题的好方法吗？你能建议

索引映射

PUT /shlomi_test/
{
  "mappings": {
    "_doc": {
      "properties": {
        "first_name": {
          "type": "keyword",
          "fields": {
            "raw": {
              "type": "text"
            }
          }
        },
        "surname": {
          "type": "keyword",
          "fields": {
            "raw": {
              "type": "text"
            }
          }
        },
        "baseline_height_at_age_10": {
          "type": "boolean"
        },
        "age": {
          "type": "integer"
        },
        "height": {
          "type": "integer"
        }
      }
    }
  }
}

索引数据

POST /test/_doc/alice_green_8_110
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 8,
  "height": 110,
  "baseline_height_at_age_10": false
}

POST /test/_doc/alice_green_10_120
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 10,
  "height": 120,
  "baseline_height_at_age_10": true
}

POST /test/_doc/alice_green_13_140
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 13,
  "height": 140,
  "baseline_height_at_age_10": false
}

POST /test/_doc/alice_green_23_170
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 23,
  "height": 170,
  "baseline_height_at_age_10": false
}



POST /test/_doc/bob_green_8_120
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 8,
  "height": 120,
  "baseline_height_at_age_10": false
}

POST /test/_doc/bob_green_10_130
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 10,
  "height": 130,
  "baseline_height_at_age_10": true
}

POST /test/_doc/bob_green_15_160
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 15,
  "height": 160,
  "baseline_height_at_age_10": false
}

POST /test/_doc/bob_green_21_180
{
  "first_name": "Alice",
  "surname": "Green",
  "age": 21,
  "height": 180,
  "baseline_height_at_age_10": false
}

Answer 1

您应该能够仅使用聚合来完成。假设人们只会越来越高，并且测量结果准确，您可以将查询限制为仅 10 岁或以下的文件，找到这些文件的最大高度，然后过滤那些结果以排除基线结果

POST test/_search
{
  "size": 0,
  "query": {
    "range": {
      "age": {
        "lte": 10
      }
    }
  },
  "aggs": {
    "names": {
      "terms": {
        "field": "first_name",
        "size": 10
      },
      "aggs": {
        "max_height": {
          "max": {
            "field": "height"
          }
        },
        "non-baseline": {
          "filter": {
            "match": {
              "baseline_height_at_age_10": false
            }
          },
          "aggs": {
            "top_hits": {
              "top_hits": {
                "size": 10
              }
            }
          }
        }
      }
    }
  }
}

Answer 2

我在 ElasticSearch 支持论坛上发布了同样的问题，重点是 Painless scripting How to find records matching the result of a previous search using ElasticSearch Painless scripting

答案是：

"I don't think the Painless approach will work here. You cannot use the results of one query to execute a second query with Painless.

The two-step approach that you outline at the end of your post is the way to go."

最重要的是，您不能将一个查询的结果用作另一个查询的输入。您可以过滤和聚合等等，但不是这个。

所以方法大致如下：

according to my understanding, suggests to do the 1st search, process the data and do an additional search. This basically translates to:

搜索 first_name=Alice 且 baseline_height_at_age_10=True 的记录。
外部处理，提取 Alice 在 10 岁时的身高值。
搜索Alice身高低于外部计算值的记录。

如何使用 ElasticSearch Painless 脚本查找与先前搜索结果匹配的记录

How to find records matching the result of a previous search using ElasticSearch Painless scripting

elasticsearch

elasticsearch-painless