从Elasticsearch中的搜索中删除重复的文档

Question

我有一个索引,包含大量纸张,同一个字段的值相同.我在这个领域有一个重复数据删除.

聚合器将作为柜台来找我.我想要一份文件清单.

我的索引:

• Doc 1 {domain:'domain1.fr',name:'name1',date:'01 -01-2014'}
• Doc 2 {domain:'domain1.fr',name:'name1',date:'01 -02-2014'}
• Doc 3 {domain:'domain2.fr',name:'name2',date:'01 -03-2014'}
• Doc 4 {domain:'domain2.fr',name:'name2',date:'01 -04-2014'}
• Doc 5 {domain:'domain3.fr',name:'name3',date:'01 -05-2014'}
• Doc 6 {domain:'domain3.fr',name:'name3',date:'01 -06-2014'}

我想要这个结果(域名重复数据删除结果):

• Doc 6 {domain:'domain3.fr',name:'name3',date:'01 -06-2014'}
• Doc 4 {domain:'domain2.fr',name:'name2',date:'01 -04-2014'}
• Doc 2 {domain:'domain1.fr',name:'name1',date:'01 -02-2014'}

Answer 1

您可以使用字段折叠,在name字段上对结果进行分组,并将top_hits聚合器的大小设置为1.

/POST http://localhost:9200/test/dedup/_search?search_type=count&pretty=true
{
  "aggs":{
    "dedup" : {
      "terms":{
        "field": "name"
       },
       "aggs":{
         "dedup_docs":{
           "top_hits":{
             "size":1
           }
         }
       }    
    }
  }
}

这会返回:

{
  "took" : 192,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "failed" : 0
  },
  "hits" : {
    "total" : 6,
    "max_score" : 0.0,
    "hits" : [ ]
  },
  "aggregations" : {
    "dedup" : {
      "buckets" : [ {
        "key" : "name1",
        "doc_count" : 2,
        "dedup_docs" : {
          "hits" : {
          "total" : 2,
          "max_score" : 1.0,
          "hits" : [ {
            "_index" : "test",
            "_type" : "dedup",
            "_id" : "1",
            "_score" : 1.0,
            "_source":{domain: "domain1.fr", name: "name1", date: "01-01-2014"}
          } ]
        }
      }
    }, {
      "key" : "name2",
      "doc_count" : 2,
      "dedup_docs" : {
        "hits" : {
          "total" : 2,
          "max_score" : 1.0,
          "hits" : [ {
            "_index" : "test",
            "_type" : "dedup",
            "_id" : "3",
            "_score" : 1.0,
            "_source":{domain: "domain1.fr", name: "name2", date: "01-03-2014"}
          } ]
        }
      }
    }, {
      "key" : "name3",
      "doc_count" : 2,
      "dedup_docs" : {
        "hits" : {
          "total" : 2,
          "max_score" : 1.0,
          "hits" : [ {
            "_index" : "test",
            "_type" : "dedup",
            "_id" : "5",
            "_score" : 1.0,
            "_source":{domain: "domain1.fr", name: "name3", date: "01-05-2014"}
           } ]
         }
       }
     } ]
   }
 }
}