Elasticsearch：使用bucket值过滤聚合

Question

不知道如何表达这个问题。我正在使用Elasticsearch 2.2。

让我们从数据集的一个示例开始，该数据集由5个文档组成：

[
  {
    "header": {
      "called_entity": { "uuid": "a" },
      "coverage_entity": {},
      "sucessful_transfers": 1
    }
  },
  {
    "header": {
      "called_entity": { "uuid": "a" },
      "coverage_entity": { "uuid": "b" },
      "sucessful_transfers": 1
  }
  },
  {
    "header": {
      "called_entity": { "uuid": "b" },
      "coverage_entity": { "uuid": "a" },
      "sucessful_transfers": 1
    }
  },
  {
    "header": {
      "called_entity": { "uuid": "b" },
      "coverage_entity": { "uuid": "a" },
      "sucessful_transfers": 0
    }
  }
]

被调用的\u实体始终具有uuid。coverage\u实体可以为空，也可以具有uuid。

我使用脚本在任何一个被调用的\实体上进行聚合。uuid或coverage\u实体。uuid：

{
  "size": 0,
  "query": {
    "match_all": {}
  },
  "aggs": {
    "dim1": {
      "terms": {
        "script" : "return doc['header.called_entity.uuid'] + doc['header.coverage_entity.uuid']",
        "size": 10
      },
      "aggs": {
        "successful_transfers": {
          "sum": {
            "field": "header.successful_transfers"
          }
        }
      }
    }
  }
}

现在，聚合已经从任一头生成了术语。调用了\u实体。uuid或标头。coverage\u实体。uuid。

如何使用聚合键的值筛选聚合？例如，如果我想计算每个bucket的uuid来自标题的文档数量。调用了\u实体。仅uuid。诸如此类：

{
  "size": 0,
  "query": {
    "match_all": {}
  },
  "aggs": {
    "dim1": {
      "terms": {
        "script" : "return doc['header.called_entity.uuid'] + doc['header.coverage_entity.uuid']",
        "size": 10
      },
      "aggs": {
        "successful_transfers": {
          "sum": {
            "field": "header.successful_transfers"
          }
        },
        "from_called_entity": {
          "filter": {
            "term": { "header.called_entity.uuid": BUCKET_KEY }
          }
        }
      }
    }
  }
}

Answer 1

不确定这是否可行。键本身只能作为排序选项使用。

你能使用这样的东西吗：

{
  "size": 0,
  "query": {
    "match_all": {}
  },
  "aggs": {
    "dim1": {
      "terms": {
        "script": "return doc['header.called_entity.uuid'] + doc['header.coverage_entity.uuid']",
        "size": 10
      },
      "aggs": {
        "successful_transfers": {
          "sum": {
            "field": "header.sucessful_transfers"
          }
        }
      }
    },
    "called_entity_source": {
      "terms": {
        "field": "header.called_entity.uuid",
        "size": 10
      }
    },
    "coverage_entity_source": {
      "terms": {
        "field": "header.coverage_entity.uuid",
        "size": 10
      }
    }
  }
}

输出将是这样的：

  "called_entity_source": {
     "doc_count_error_upper_bound": 0,
     "sum_other_doc_count": 0,
     "buckets": [
        {
           "key": "a",
           "doc_count": 2
        },
        {
           "key": "b",
           "doc_count": 2
        }
     ]
  },
  "coverage_entity_source": {
     "doc_count_error_upper_bound": 0,
     "sum_other_doc_count": 0,
     "buckets": [
        {
           "key": "a",
           "doc_count": 2
        },
        {
           "key": "b",
           "doc_count": 1
        }
     ]
  },
  "dim1": {
     "doc_count_error_upper_bound": 0,
     "sum_other_doc_count": 0,
     "buckets": [
        {
           "key": "a",
           "doc_count": 4,
           "successful_transfers": {
              "value": 3
           }
        },
        {
           "key": "b",
           "doc_count": 3,
           "successful_transfers": {
              "value": 2
           }
        }
     ]
  }

如果您确实需要以这种特定的方式拥有json，请在您的应用程序中添加另一个最后一步，您可以在其中发布一些处理结果的步骤。上面的结果确实包含您需要的信息，但是来自coverage_entity_source和called_entity_source的键不在dim聚合下。