Elasticsearch中的求和查詢

Question

我對Elasticsearch相當陌生。我試圖編寫一個查詢，按字段進行分組並計算總和。在SQL中，我的查詢應該是這樣的： SELECT lane, SUM(routes) FROM lanes GROUP BY lane

我有這樣的數據，看起來像這樣在ES：

{ 
    "_index": "kpi", 
    "_type": "mroutes_by_lane", 
    "_id": "TUeWFEhnS9q1Ukb2QdZABg", 
    "_score": 1.0, 
    "_source": { 
    "warehouse_id": 107, 
    "date": "2013-04-08", 
    "lane": "M05", 
    "routes": 4047 
    } 
}, 
{ 
    "_index": "kpi", 
    "_type": "mroutes_by_lane", 
    "_id": "owVmGW9GT562_2Alfru2DA", 
    "_score": 1.0, 
    "_source": { 
    "warehouse_id": 107, 
    "date": "2013-04-08", 
    "lane": "M03", 
    "routes": 4065 
    } 
}, 
{ 
    "_index": "kpi", 
    "_type": "mroutes_by_lane", 
    "_id": "JY9xNDxqSsajw76oMC2gxA", 
    "_score": 1.0, 
    "_source": { 
    "warehouse_id": 107, 
    "date": "2013-04-08", 
    "lane": "M05", 
    "routes": 3056 
    } 
}, 
{ 
    "_index": "kpi", 
    "_type": "mroutes_by_lane", 
    "_id": "owVmGW9GT345_2Alfru2DB", 
    "_score": 1.0, 
    "_source": { 
    "warehouse_id": 107, 
    "date": "2013-04-08", 
    "lane": "M03", 
    "routes": 5675 
    } 
}, 
... 

我想基本上運行相同的查詢在ES和我一樣在SQL，所以，我的結果會是這樣的（當然在JSON）：M05: 7103, M03: 9740

Answer 1

在elasticsearch，您可以通過使用terms stats facet實現這一點：

{ 
    "query" : { 
     "match_all" : { } 
    }, 
    "facets" : { 
     "lane_routes_stats" : { 
      "terms_stats" : { 
       "key_field" : "lane", 
       "value_field" : "routes", 
       "order": "term" 
      } 
     } 
    } 
}