Elasticsearch 按字段分组过滤文档 [英] Elasticsearch filter document group by field

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本文介绍了Elasticsearch 按字段分组过滤文档的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有一些文件:

{"name": "John", "district": 1},
{"name": "Mary", "district": 2},
{"name": "Nick", "district": 1},
{"name": "Bob", "district": 3},
{"name": "Kenny", "district": 1}

如何按地区过滤/选择不同的文件?

How can I filter/select distinct documents by district?

{"name": "John", "district": 1},
{"name": "Mary", "district": 2},
{"name": "Bob", "district": 3}

在 SQL 中,我可以使用 GROUP BY.我尝试了术语聚合,但它只返回了不同的计数.

In SQL, I can use GROUP BY. I tried terms aggregation but it only returned count distinct.

"aggs": {
  "distinct": {
    "terms": {
      "field": "district",
      "size": 0
    }
  }
}

感谢您的帮助!:-)

推荐答案

如果您的 ElasticSearch 版本是 1.3 或更高版本,您可以使用 top_hits 它将为您提供(默认情况下)按查询分数排序的前三个匹配文档(此处为 1当您使用 match_all 查询时).

If your ElasticSearch version is 1.3 or above, you could use a subaggregation of type top_hits which will give you (by default) the top three matching documents sorted on your query score (here, 1 as you use a match_all query).

size 参数可以设置为 3 以上.

You can set the size parameter to more than 3.

以下数据集和查询:

POST /test/districts/
{"name": "John", "district": 1}

POST /test/districts/
{"name": "Mary", "district": 2}

POST /test/districts/
{"name": "Nick", "district": 1}

POST /test/districts/
{"name": "Bob", "district": 3}

POST test/districts/_search
{
  "size": 0, 
  "aggs":{
    "by_district":{
      "terms": {
        "field": "district",
        "size": 0
      },
      "aggs": {
        "tops": {
          "top_hits": {
            "size": 10
          }
        }
      }
    }
  }
}

将按照您想要的方式输出文档:

Will output the documents the way you want :

{
   "took": 5,
   "timed_out": false,
   "_shards": {
      "total": 5,
      "successful": 5,
      "failed": 0
   },
   "hits": {
      "total": 4,
      "max_score": 0,
      "hits": []
   },
   "aggregations": {
      "by_district": {
         "buckets": [
            {
               "key": 1,
               "key_as_string": "1",
               "doc_count": 2,
               "tops": {
                  "hits": {
                     "total": 2,
                     "max_score": 1,
                     "hits": [
                        {
                           "_index": "test",
                           "_type": "districts",
                           "_id": "XYHu4I-JQcOfLm3iWjTiOg",
                           "_score": 1,
                           "_source": {
                              "name": "John",
                              "district": 1
                           }
                        },
                        {
                           "_index": "test",
                           "_type": "districts",
                           "_id": "5dul2XMTRC2IpV_tKRRltA",
                           "_score": 1,
                           "_source": {
                              "name": "Nick",
                              "district": 1
                           }
                        }
                     ]
                  }
               }
            },
            {
               "key": 2,
               "key_as_string": "2",
               "doc_count": 1,
               "tops": {
                  "hits": {
                     "total": 1,
                     "max_score": 1,
                     "hits": [
                        {
                           "_index": "test",
                           "_type": "districts",
                           "_id": "I-9Gd4OYSRuexhP1dCdQ-g",
                           "_score": 1,
                           "_source": {
                              "name": "Mary",
                              "district": 2
                           }
                        }
                     ]
                  }
               }
            },
            {
               "key": 3,
               "key_as_string": "3",
               "doc_count": 1,
               "tops": {
                  "hits": {
                     "total": 1,
                     "max_score": 1,
                     "hits": [
                        {
                           "_index": "test",
                           "_type": "districts",
                           "_id": "bti2y-OUT3q2mBNhhI3xeA",
                           "_score": 1,
                           "_source": {
                              "name": "Bob",
                              "district": 3
                           }
                        }
                     ]
                  }
               }
            }
         ]
      }
   }
}

这篇关于Elasticsearch 按字段分组过滤文档的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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