嵌套对象的 Elasticsearch 聚合

Question

我正在尝试为电子商务应用程序构建具有分面过滤功能的产品搜索。对于产品品牌，我有以下结构：

"brand": {
    "type": "nested",
    "properties": {
        "name": {
            "type": "text"
        },
        "id": {
            "type": "integer"
        }
    }
}

我想按品牌 ID 和 return 整个对象和文档数进行聚合。像这样：

"brands" : {
    "doc_count_error_upper_bound" : 0,
    "sum_other_doc_count" : 0,
    "buckets" : [
    {
        "key" : {
            "name": "Apple",
            "id": 1
        },
        "doc_count" : 34
    },
    {
        "key" : {
            "name": "Samsung",
            "id": 2
        },
        "doc_count" : 23
    }
    ]
}

目前我正在这样写聚合：

"aggs": {
    "brands": {
        "nested": {
            "path": "brand"
        }, 
        "aggs": {
            "brandIds": {
                "terms": {
                "field": "brand.id"
                }
            }
        }
    },
}

结果如下所示：

"aggregations" : {
    "brands" : {
        "doc_count" : 15,
        "brandIds" : {
            "doc_count_error_upper_bound" : 0,
            "sum_other_doc_count" : 0,
            "buckets" : [
                {
                    "key" : 1,
                    "doc_count" : 4
                },
                {
                    "key" : 2,
                    "doc_count" : 2
                }
            ]
        }
    }
}

Answer 1

您可以像这样在 Terms Aggregation 中使用 Term Aggregation :

GET {index_name}/_search
{
  "size": 0,
  "query": {
   "match_all": {}
  }, 
  "aggs": {
    "brands": {
      "nested": {
        "path": "brand"
      },
      "aggs": {
        "brandIds": {
          "terms": {
            "field": "brand.id"
          }, 
          "aggs": {
            "by name": {
              "terms": {
                "field": "brand.name.keyword",
                "size": 10
              }
            }
          }
        }
      }
    }
  }
}

这将导致如下结果：

"aggregations": {
    "brands": {
      "doc_count": 68,
      "brandIds": {
        "doc_count_error_upper_bound": 0,
        "sum_other_doc_count": 0,
        "buckets": [
          {
            "key": 1,
            "doc_count": 46,
            "by name": {
              "doc_count_error_upper_bound": 0,
              "sum_other_doc_count": 0,
              "buckets": [
                {
                  "key": "Apple",
                  "doc_count": 46
                }
              ]
            }
          },
          {
            "key": 2,
            "doc_count": 22,
            "ny id": {
              "doc_count_error_upper_bound": 0,
              "sum_other_doc_count": 0,
              "buckets": [
                {
                  "key": "Samsung",
                  "doc_count": 22
                }
              ]
            }
          }
        ]
      }
    }
  }

希望对您有所帮助！！

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