Elasticsearch：使用桶值过滤聚合

Question

不确定如何提出问题。我正在使用 Elasticsearch 2.2。

让我们从一个由 5 个文档组成的数据集示例开始：

[
  {
    "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
    }
  }
]

called_entity 总是有一个 uuid。 coverage_entity 可以为空，或者有一个 uuid.

我使用脚本在 called_entity.uuid 或 coverage_entity.uuid 上进行聚合：

{
  "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，聚合已从 header.called_entity.uuid 或 header.coverage_entity.uuid[=35= 生成术语].

如何使用聚合键的值过滤我的聚合？例如，如果我想计算，对于每个存储桶，有多少文档的 uuid 仅取自 header.called_entity.uuid。类似的东西：

{ "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

不确定这是否可能。密钥本身仅可用作排序选项。

你能用这样的东西吗:

{
  "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方式获得 json，请在您的应用程序中添加另一个最后步骤，您 post 稍微处理一下结果。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。

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