ElasticSearch在单个查询中查找两个字段的总和

xam8gpfp  于 2023-04-29  发布在  ElasticSearch
关注(0)|答案(2)|浏览(115)

我需要在一个查询中找到两个字段的和。我设法找到了一个字段的总和,但在一个查询中添加两个聚合时遇到了困难。
我的JSON看起来像下面这样:

{
    "_index": "outboxprov1",
    "_type": "message",
    "_id": "JXpDpNefSkKO-Hij3T9m4w",
    "_score": 1,
    "_source": {
       "team_id": "1fa86701af05a863f59dd0f4b6546b32",
       "created_user": "1a9d05586a8dc3f29b4c8147997391f9",
       "created_ip": "192.168.2.245",
       "folder": 1,
       "post_count": 5,
       "sent": 3,
       "failed": 2,
       "status": 6,
       "message_date": "2014-08-20T14:30Z",
       "created_date": "2014-06-27T04:34:30.885Z"
    }
}

我的搜索查询:

{
   "query": {
      "filtered": {
         "query": {
            "match": {
               "team_id": {
                  "query": "1fa86701af05a863f59dd0f4b6546b32"
               }
            }
         },
         "filter": {
            "and": [
               {
                  "term": {
                     "status": "6"
                  }
               }
            ]
         }
      }
   },
   "aggs": {
      "intraday_return": {
         "sum": {
            "field": "sent"
         }
      }
   },
    "aggs": {
      "intraday_return": {
         "sum": {
            "field": "failed"
         }
      }
   }
}

如何在一个查询中放置两个聚合?请帮我解决这个问题。谢谢大家。

js5cn81o

js5cn81o1#

您可以使用脚本计算总和
示例:

{
   "size": 0,
  "aggregations": {
  "age_ranges": {
     "range": {
        "script": "DateTime.now().year - doc[\"birthdate\"].date.year",
        "ranges": [
           {
              "from": 22,
              "to": 25
           }
        ]
     }
  }
}
}

你的查询应该包含“script”:“doc ['sent']。value+doc['failed']。值”

unguejic

unguejic2#

可以有多个子聚合

{
   "query": {
      "filtered": {
         "query": {
            "match": {
               "team_id": {
                  "query": "1fa86701af05a863f59dd0f4b6546b32"
               }
            }
         },
         "filter": {
            "and": [
               {
                  "term": {
                     "status": "6"
                  }
               }
            ]
         }
      }
   },
   "aggs": {
      "intraday_return_sent": {
         "sum": {
            "field": "sent"
         }
      },
      "intraday_return_failed": {
         "sum": {
            "field": "failed"
         }
      }
   }
}

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