弹性搜索根据条件聚合到存储桶中

Question

我从 Elastic Search 开始，一直在尝试进行一些聚合。基本上，我有一个由以下形式的数据组成的数据集：

{
    "name": "The Chef Restaurant",
    "city": "New York",
    "state": "New York",
    "rating": "GOOD",
    "type": "Continental"
}

现在，我想做一些聚合，并在一个查询中获取所有 Continental 餐厅、Good 餐厅和纽约的餐厅。

请注意，我不想要所有类型餐厅的计数，我只想要特定类型的计数。此外，这些聚合是相互独立的。也就是说，当我说 GOOD 时，我不一定希望它是 Continental，它可以是意大利语或其他任何东西。

这是我尝试过的：

{
    "size": 0,
    "query": {
        "match_all": {}
    },
    "aggregations": {
        "good_restaurants": {
            "filters": {
                "match": {
                    "rating": "CONTINENTAL"
                }
            }
        },
        "continental_restaurants": {
            "filters": {
                "match": {
                    "type": "CONTINENTAL"
                }
            }
        },
        "restaurants_in_new_york": {
            "filters": {
                "match": {
                    "type": "CONTINENTAL"
                }
            }
        }
    }
}

这给了我错误：

{
   "error": {
      "root_cause": [
         {
            "type": "search_parse_exception",
            "reason": "Unknown key for a START_OBJECT in [good_restaurants]: [match].",
            "line": 9,
            "col": 17
         }
      ],
      "type": "search_phase_execution_exception",
      "reason": "all shards failed",
      "phase": "query",
      "grouped": true,
      "failed_shards": [
         {
            "shard": 0,
            "index": "test_master",
            "node": "-aWy78_mRaaBMcOAeiN9tg",
            "reason": {
               "type": "search_parse_exception",
               "reason": "Unknown key for a START_OBJECT in [good_restaurants]: [match].",
               "line": 9,
               "col": 17
            }
         }
      ]
   },
   "status": 400
}

我知道这似乎是一个简单的问题，但我已经坚持了很长时间。任何帮助将不胜感激。

Answer 1

您可以通过以下方式使其按您期望的方式工作：

{
  "size": 0,
  "query": {
    "match_all": {}
  },
  "aggregations": {
    "selected_types": {
      "filters": {
        "filters": {
          "good_restaurants": {
            "match": {
              "rating": "CONTINENTAL"
            }
          },
          "continental_restaurants": {
            "match": {
              "type": "CONTINENTAL"
            }
          },
          "restaurants_in_new_york": {
            "match": {
              "type": "CONTINENTAL"
            }
          }
        }
      }
    }
  }
}