具有相同字段值计数的Elasticsearch筛选文档ids

Question

我需要返回具有相同myField值、重复范围时间的文档的ids。也就是说，我有clientName字段，并且希望找到所有文档的in，其中clientName = 'John‘，但前提是这个名称在2-3个文档中找到。

我有以下查询

_search?filter_path=hits.total,hits.hits._id


"query": {
    some filters that return matching document ids
 },
"post_filter": {
    "bool": {
        "should": [
            {
                "range": {
                    "myField": {
                        "lte": 3,
                        "gte": 2
                    }
                }
            }
        ],
        "minimum_should_match": 1
    }
}

但是它返回myField值的范围，而不是myField值计数。我尝试使用聚合，但聚合筛选器不适用于主要查询结果。如何修改我的post_filter以获得所需的结果？

Answer 1

Post_filter:

post_filter应用于搜索请求末尾的搜索命中，在已经计算了聚合之后。

不能根据查询或post_filter中字段的出现次数筛选文档，也不能使用聚合结果过滤查询中的文档。

解决这个问题的方法有两种

1.获取给定次数的项，并搜索这些项的文档(2次对弹性搜索的调用)

2.使用 顶部获取聚合文档本身

制图：

{
  "index48" : {
    "mappings" : {
      "properties" : {
        "name" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        }
      }
    }
  }
}

查询：

{
  "size": 0,
  "aggs": {
    "NAME": {
      "terms": {
        "field": "name.keyword",
        "size": 10
      },
      "aggs": {
        "documents": {
          "top_hits": {
            "size": 10
          }
        },
        "bucket_count": {
        "bucket_selector": {
          "buckets_path": {
            "path": "_count"
          },
          "script": "if(params.path>=1 && params.path<=3) return true"
        }
      }
      }
    }
  }
}

结果：

"aggregations" : {
    "NAME" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : "John",
          "doc_count" : 3,
          "documents" : {
            "hits" : {
              "total" : {
                "value" : 3,
                "relation" : "eq"
              },
              "max_score" : 1.0,
              "hits" : [
                {
                  "_index" : "index48",
                  "_type" : "_doc",
                  "_id" : "ZRPC3HABF9RqmGpImxj_",
                  "_score" : 1.0,
                  "_source" : {
                    "name" : "John"
                  }
                },
                {
                  "_index" : "index48",
                  "_type" : "_doc",
                  "_id" : "ZhPC3HABF9RqmGpIpBh4",
                  "_score" : 1.0,
                  "_source" : {
                    "name" : "John"
                  }
                },
                {
                  "_index" : "index48",
                  "_type" : "_doc",
                  "_id" : "ZxPC3HABF9RqmGpIqRhj",
                  "_score" : 1.0,
                  "_source" : {
                    "name" : "John"
                  }
                }
              ]
            }
          }
        },
        {
          "key" : "Doe",
          "doc_count" : 2,
          "documents" : {
            "hits" : {
              "total" : {
                "value" : 2,
                "relation" : "eq"
              },
              "max_score" : 1.0,
              "hits" : [
                {
                  "_index" : "index48",
                  "_type" : "_doc",
                  "_id" : "aBPC3HABF9RqmGpIyhhU",
                  "_score" : 1.0,
                  "_source" : {
                    "name" : "Doe"
                  }
                },
                {
                  "_index" : "index48",
                  "_type" : "_doc",
                  "_id" : "aRPC3HABF9RqmGpIzhh7",
                  "_score" : 1.0,
                  "_source" : {
                    "name" : "Doe"
                  }
                }
              ]
            }
          }
        }
      ]
    }
  }