弹性搜索。聚合中_Score为空。为什么？ [英] Elastic Search. _Score is null in aggregations. Why?

问题描述

我使用ES v 1.7。 ES仅在点击部分返回_score，但我对点击不感兴趣，因此我需要使用_score 响应的聚合部分的数据。为什么ES这样做和如何解决它？

Requset：

<$ p
size：1，
query：{
bool：{
must：[
{match：{_all：{query：test，operator：and，fuzziness：2}}}
]，
should ：[
{multi_match：{
query：test
，type：best_fields
，fields：[ObjectData.PRTNAME ，ObjectData.EXTERNALID，ObjectData.contactList.VALUE，* SERIES，* NUMBER，ObjectData.INN]
，operator：或
boost：3
}}
]
}
}，
aggs：{
byObjectID：{
terms ：{field：ObjectID}，
aggs：{
latestVer：{
top_hits：{
sort：[{creationDate：{order：desc}}]
，_ source：{包括：[ObjectData.BRIEFNAME，creationDate，ObjectID]}
，size：1
}
}
}
}

回应：

  {
took：16，
timed_out：false，
_shards： {
total：5，
success：5，
failed：0 
}，
hits：{
总数：87，
max_score：5.3479624，
hits：[{
_index：crmws，
_type：participant b $ b_id：AVFtAkIcSH3HWHh0wIkd，
_score：5.3479624，
_source：{
mostRecentVersion：null，
UserLogin：ap ，
creationDate：2015-12-04T12：40：43.292Z，
 _id：null，
ObjectID：26784418，
EventID：null，
version_id：3798，
ObjectTypeId：null，
 ObjectData：{...}，
ObjectTypeSysName：participant，
versionNumber：null 
} 
}] 
}，
aggregations：{byObjectID：{
doc_count_error_upper_bound：0，
sum_other_doc_count：0，
buckets：[
 {
 key：26745417，
doc_count：21，
latestVer：{hits：{
total：21，
max_score 
hits：[{
_index：crmws，
_type：participant，
_id：AVFtQCCtSH3HWHh0wItF，
 _score：null，
_source：{
creationDate：2015-12-04T13：48：17.949Z，
ObjectID：26745417，
ObjectData：{BRIEFNAME：Верный-ПреверныйВ. } 
}，
sort：[1449236897949] 
}] 
}} 
}，
 ... 
 ] 
}} 
} 
  

解决方案

由于您使用排序，您需要明确设置
prenofollow> track_scores 用于计算得分。 > {
size：1，
query：{
bool：{
must：[
{ match：{_all：{query：test，operator：and，fuzziness：2}}}
]，
should： [
{multi_match：{
query：test
，type：best_fields
，f ields：[ObjectData.PRTNAME，ObjectData.EXTERNALID，ObjectData.contactList.VALUE，* SERIES，* NUMBER，ObjectData.INN]
，operator：或
，boost：3
}}
]
}
}，
aggs：{
byObjectID ：{
terms：{field：ObjectID}，
aggs：{
latestVer：{
top_hits：{
sort：[{creationDate：{order：desc}}]
，_ source：{include：[ObjectData.BRIEFNAME，creationDate，ObjectID ]}
，size：1，
'track_scores：1
}
}
}
}
}


}


I use ES v 1.7. ES returns _score just only in "hits" section, but i'm not interested in "hits", I need data from "aggregations" section of responce with _score. Why ES do like that and How to fix it?

Requset:

{
    "size": 1,
        "query": {
            "bool": {
                "must": [
                    { "match": {"_all": {"query": "test","operator": "and","fuzziness": "2"}}}
                ],
                "should": [
                    { "multi_match" : {
                            "query":      "test"
                            ,"type":       "best_fields"
                            ,"fields":     ["ObjectData.PRTNAME","ObjectData.EXTERNALID","ObjectData.contactList.VALUE","*SERIES","*NUMBER","ObjectData.INN"]
                            ,"operator":   "or"
                            ,"boost": 3
                    }}
                ]
            } 
        },   
  "aggs": {
    "byObjectID": {
      "terms": {"field": "ObjectID"},
      "aggs": {
        "latestVer": {
          "top_hits": {
            "sort": [{"creationDate": { "order": "desc" }}]
            ,"_source": { "include": ["ObjectData.BRIEFNAME", "creationDate", "ObjectID" ]}
            ,"size": 1
          }
        }
      }
    }
  }
}

Response:

{
   "took": 16,
   "timed_out": false,
   "_shards":    {
      "total": 5,
      "successful": 5,
      "failed": 0
   },
   "hits":    {
      "total": 87,
      "max_score": 5.3479624,
      "hits": [      {
         "_index": "crmws",
         "_type": "participant",
         "_id": "AVFtAkIcSH3HWHh0wIkd",
         "_score": 5.3479624,
         "_source":          {
            "mostRecentVersion": null,
            "UserLogin": "ap",
            "creationDate": "2015-12-04T12:40:43.292Z",
            "_id": null,
            "ObjectID": 26784418,
            "EventID": null,
            "version_id": 3798,
            "ObjectTypeId": null,
            "ObjectData":   {...},
            "ObjectTypeSysName": "participant",
            "versionNumber": null
         }
      }]
   },
   "aggregations": {"byObjectID":    {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets":       [
                  {
            "key": 26745417,
            "doc_count": 21,
            "latestVer": {"hits":             {
               "total": 21,
               "max_score": null,
               "hits": [               {
                  "_index": "crmws",
                  "_type": "participant",
                  "_id": "AVFtQCCtSH3HWHh0wItF",
                  "_score": null,
                  "_source":                   {
                     "creationDate": "2015-12-04T13:48:17.949Z",
                     "ObjectID": 26745417,
                     "ObjectData": {"BRIEFNAME": "Верный-Преверный В. В."}
                  },
                  "sort": [1449236897949]
               }]
            }}
         },
         ...
      ]
   }}
}

解决方案

Since you are using sort you would need to explicitly set "track_scores" for scores to be computed.

Example:

{
    "size": 1,
        "query": {
            "bool": {
                "must": [
                    { "match": {"_all": {"query": "test","operator": "and","fuzziness": "2"}}}
                ],
                "should": [
                    { "multi_match" : {
                            "query":      "test"
                            ,"type":       "best_fields"
                            ,"fields":     ["ObjectData.PRTNAME","ObjectData.EXTERNALID","ObjectData.contactList.VALUE","*SERIES","*NUMBER","ObjectData.INN"]
                            ,"operator":   "or"
                            ,"boost": 3
                    }}
                ]
            } 
        },   
  "aggs": {
    "byObjectID": {
      "terms": {"field": "ObjectID"},
      "aggs": {
        "latestVer": {
          "top_hits": {
            "sort": [{"creationDate": { "order": "desc" }}]
            ,"_source": { "include": ["ObjectData.BRIEFNAME", "creationDate", "ObjectID" ]}
            ,"size": 1,
            'track_scores" : 1
          }
        }
      }
    }
  }


}

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