elasticsearch聚合排序存儲桶密鑰

Question

如何對鍵上的elasticsearch聚合存儲桶進行排序。我嵌套聚合，並想排序我的第二個聚合桶結果。

像我有：

"result": { 
     "doc_count_error_upper_bound": 0, 
     "sum_other_doc_count": 0, 
     "buckets": [ 
      { 
       "key": 20309, 
       "doc_count": 752, 
       "Events": { 
        "doc_count_error_upper_bound": 0, 
        "sum_other_doc_count": 0, 
        "buckets": [ 
        { 
         "key": "impression", 
         "doc_count": 30 
        }, 
        { 
         "key": "page_view", 
         "doc_count": 10 
        }, 
        ... 
        ] 
       } 
      }, 
      { 
       "key": 20771, 
       "doc_count": 46, 
       "Events": { 
        "doc_count_error_upper_bound": 0, 
        "sum_other_doc_count": 0, 
        "buckets": [ 
        { 
         "key": "impression", 
         "doc_count": 32 
        }, 
        { 
         "key": "page_view", 
         "doc_count": 9 
        }, 
        ... 
        ] 
       } 
      }, 

我想我Events總水桶的遞減/遞增關鍵impression或page_view排序。 我該如何實現這樣的結果集？

這裏是我的查詢

GET someindex/useractivity/_search?search_type=count 
{ 
    "size": 1000000, 
    "query": { 
    "filtered": { 
     "filter": { 
     "bool": { 
      "must": [ 
      { 
       "range": { 
       "created_on": { 
        "from": "2015-01-12", 
        "to": "2016-05-12" 
       } 
       } 
      }, 
      { 
       "term": { 
       "group_id": 1 
       } 
      } 
      ] 
     } 
     } 
    } 
    }, 
    "aggs": { 
    "result": { 
     "terms": { 
     "field": "entity_id", 
     "size": 1000000 
     }, 
     "aggs": { 
     "Events": { 
      "terms": { 
      "field": "event_type", 
      "min_doc_count": 0, 
      "size": 10 
      } 
     } 
     } 
    } 
    } 
} 

我一直在使用_key嘗試，但它那種鬥內。我想通過查看所有桶來進行排序。就像我有一把鑰匙impression。我希望我的桶結果可以用這個鍵排序。不在鬥中。

我想我的結果設置爲一樣，如果我想降序排序上impression那麼我的結果應該是

"buckets": [ 
       { 
        "key": 20771, 
        "doc_count": 46, 
        "Events": { 
         "doc_count_error_upper_bound": 0, 
         "sum_other_doc_count": 0, 
         "buckets": [ 
         { 
          "key": "impression", 
          "doc_count": 32 
         }, 
         { 
          "key": "page_view", 
          "doc_count": 9 
         }, 
         ... 
         ] 
        } 
       }, 
       {      
        "key": 20309, 
        "doc_count": 752, 
        "Events": { 
         "doc_count_error_upper_bound": 0, 
         "sum_other_doc_count": 0, 
         "buckets": [ 
         { 
          "key": "impression", 
          "doc_count": 30 
         }, 
         { 
          "key": "page_view", 
          "doc_count": 10 
         }, 
         ... 
         ] 
        } 
       }, 

即以最大的印象桶應該在最前面。 （爲了通過水桶印象降序排列）

Answer 1

試試這個聚集：

{ 
    "size": 0, 
    "aggs": { 
    "result": { 
     "terms": { 
     "field": "entity_id", 
     "size": 10, 
     "order": { 
      "impression_Events": "desc" 
     } 
     }, 
     "aggs": { 
     "Events": { 
      "terms": { 
      "field": "event_type", 
      "min_doc_count": 0, 
      "size": 10 
      } 
     }, 
     "impression_Events": { 
      "filter": { 
      "term": { 
       "event_type": "impression" 
      } 
      } 
     } 
     } 
    } 
    } 
}