Elasticsearch - 如何為某些字段返回不同的文檔

Question

我有下一個elasticsearch查詢，我需要知道如何只獲得某些字段的不同結果。 （就像sql distinct：SELECT DISTINCT column1，column2，... FROM table_name：wink：

這是我的查詢

{
  "_source": ["part", "manufacturer", "shortdesc"],
  "query": {
  "match": {
       "part": "2n2222"
    }
  }
}

以下是我得到的結果：

{
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "13921",
    "_score" : 207.16005,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "13923",
    "_score" : 207.16005,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "811202",
    "_score" : 202.03964,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "534059",
    "_score" : 202.03964,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "534062",
    "_score" : 202.03964,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "144303",
    "_score" : 202.03964,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "557240",
    "_score" : 202.03964,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Infineon"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "13924",
    "_score" : 201.24086,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "557235",
    "_score" : 201.24086,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "55566",
    "_score" : 201.24086,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "50873",
    "_score" : 201.24086,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "13915",
    "_score" : 199.76857,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "591924",
    "_score" : 199.76857,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "526043",
    "_score" : 199.76857,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "423282",
    "_score" : 198.89282,
    "_source" : {
      "part" : "2N2222A",
      "manufacturer" : "Microsemi Corporation"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "565951",
    "_score" : 193.51782,
    "_source" : {
      "part" : "P2N2222A",
      "manufacturer" : "ON Semiconductor"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "13920",
    "_score" : 192.1505,
    "_source" : {
      "part" : "P2N2222A",
      "manufacturer" : "ON Semiconductor"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "2885944",
    "_score" : 191.28773,
    "_source" : {
      "part" : "Q2N2222A",
      "manufacturer" : "Freescale Semiconductor"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "765656",
    "_score" : 191.28773,
    "_source" : {
      "part" : "2N2222AL",
      "manufacturer" : "Microsemi"
    }
  },
  {
    "_index" : "my_index",
    "_type" : "_doc",
    "_id" : "491090",
    "_score" : 190.78474,
    "_source" : {
      "part" : "2N2222AUB",
      "manufacturer" : "Microsemi Corporation"
    }
  }

如果記錄包含相同的部件和制造商，則認為該記錄是重復的。 我需要為這些字段獲取不同的值。

非常感謝你的幫助。

Answer 1

我相信你需要在查詢中使用聚合來獲得不同的對行為。 請參閱此示例以獲取不同值查詢的示例。

鏈接問題與您的案例之間的主要區別在於您有兩個字段，並且您需要所有不同的對，而不是兩個字段的不同值。

編輯：剛試過這個，它似乎有一個像你想要做的行為。 您可以通過刪除/禁用術語聚合的doc_count計數並使用_source來優化它，就像您在問題中所做的那樣。 您還可以添加查詢和匹配子句以過濾到給定的零件/制造商。

EDIT2：在問題中添加了對請求的查詢/匹配。

GET YOURINDEX/_search
{
"query": {
    "match": {
      "part.keyword": "2n2222"
    }
  }, 
  "size": 0,
  "aggs": {
    "actions": {
      "terms": {
        "field": "part.keyword"
      },
      "aggs": {
        "emails": {
          "terms": {
            "field": "manufacturer.keyword"
          }
        }
      }
    }
  }
}