ElasticSearch:如何根据字段值提高分数?

Nis*_*mar 1 lucene elasticsearch elasticsearch-2.0

我试图通过基于字段值提升_score来摆脱Elasticsearch中的排序。这是我的情况:

我的文档中有一个字段:applicationDate。自EPOC以来已经过去了。我希望记录具有更大的applicationDate(最新)以具有更高的分数。

如果两个文档的分数相同,我想在另一个字符串类型的字段上对它们进行排序。说“状态”是另一个可以具有值的字段(可用,正在进行中,已关闭)。因此,具有相同applicationDate的文档应具有基于状态的_score。可用分数应该更高,进行中的分数应该更低,封闭的分数最少。因此,通过这种方式,我不必在获得结果后对文档进行排序。

请给我一些指示。

kee*_*ety 5

您应该可以使用Function Score实现此目的。根据您的要求,它可能像下面的示例一样简单:

  put test/test/1 
{
     "applicationDate" : "2015-12-02",
     "status" : "available"
}
put test/test/2
{
     "applicationDate" : "2015-12-02",
     "status" : "progress"
}

put test/test/3
{
     "applicationDate" : "2016-03-02",
     "status" : "progress"
}


post test/_search
{
   "query": {
      "function_score": {
         "functions": [
             {
               "field_value_factor" : {
                    "field" : "applicationDate",
                    "factor" : 0.001
               }
             },
            {
               "filter": {
                  "term": {
                     "status": "available"
                  }
               },
               "weight": 360
            },
            {
               "filter": {
                  "term": {
                     "status": "progress"
                  }
               },
               "weight": 180
            }
         ],
         "boost_mode": "multiply",
         "score_mode": "sum"
      }
   }
}
**Results:**

"hits": [
     {
        "_index": "test",
        "_type": "test",
        "_id": "3",
        "_score": 1456877060,
        "_source": {
           "applicationDate": "2016-03-02",
           "status": "progress"
        }
     },
     {
        "_index": "test",
        "_type": "test",
        "_id": "1",
        "_score": 1449014780,
        "_source": {
           "applicationDate": "2015-12-02",
           "status": "available"
        }
     },
     {
        "_index": "test",
        "_type": "test",
        "_id": "2",
        "_score": 1449014660,
        "_source": {
           "applicationDate": "2015-12-02",
           "status": "progress"
        }
     }
  ]
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