nested - 如何在ElasticSearch上对嵌套文档使用构面过滤

Question

我有以下映射:

curl -XPUT 'http://localhost:9200/bookstore/user/_mapping' -d '
{
  "user": {
    "properties": {
      "user_id": { "type": "integer" },
      "gender": { "type": "string", "index" : "not_analyzed" },
      "age": { "type": "integer" },
      "age_bracket": { "type": "string", "index" : "not_analyzed" },
      "current_city": { "type": "string", "index" : "not_analyzed" },
      "relationship_status": { "type": "string", "index" : "not_analyzed" },
      "books" : {
        "type": "nested",
        "properties" : {
          "b_oid": { "type": "string", "index" : "not_analyzed" },
          "b_name": { "type": "string", "index" : "not_analyzed" },
          "bc_id": { "type": "integer" },
          "bc_name": { "type": "string", "index" : "not_analyzed" },
          "bcl_name": { "type": "string", "index" : "not_analyzed" },
          "b_id": { "type": "integer" }
        }
      }
    }
  }
}'

现在，我尝试查询具有“gender”:“Male”，已购买某类别“bcl_name”:“Trivia”的书籍并显示“b_name”书籍标题的用户。我以某种方式无法运行它。

我有查询

curl -XGET 'http://localhost:9200/bookstore/user/_search?pretty=1' -d '{
    "size": 0,
    "from": 0,
    "query": {
     "filtered": {
         "query": {
             "terms": {
                 "gender": [
                     "Male"
                 ]
             }
         }
     }
    },
    "facets": {
        "CategoryFacet": {
             "terms": {
                 "field": "books.b_name",
                 "size": 5,
                 "shard_size": 1000,
                 "order": "count"
             },
             "nested": "books",
             "facet_filter": {
                 "terms": {
                     "books.bcl_name": [
                         "Trivia"
                     ]
                 }
             }
        }
    }
}'

它返回一个结果，但是我不确定这是否正确。我查找了一些示例，并找到了这个示例( http://www.spacevatican.org/2012/6/3/fun-with-elasticsearch-s-children-and-nested-documents/)。我可以这样重写查询:

curl -XGET 'http://localhost:9200/bookstore/user/_search?pretty=1' -d '{
    "size": 0,
    "from": 0,
    "query": {
     "filtered": {
         "query": {
             "terms": {
                 "gender": [
                     "Male"
                 ]
             }
         },
         "filter": {
             "nested": {
                 "path": "books",
                 "query": {
                     "filtered": {
                         "query": {
                             "match_all": {}
                         },
                         "filter": {
                             "and": [
                                 {
                                     "term": {
                                         "books.bcl_name": "Trivia"
                                     }
                                 }
                             ]
                         }
                     }
                 }
             }
         }
     }
    },
    "facets": {
     "CategoryFacet": {
         "terms": {
             "field": "books.b_name",
             "size": 5,
             "shard_size": 1000,
             "order": "count"
         },
         "nested": "books"
     }
    }
}'

显示不同的结果。

我，作为一个初学者，现在是迷失了。有人可以给我提示如何解决这个问题吗？在此先多谢!

Answer 1

第一个查询的意思是:

搜索gender : "Male"

的用户

但是“CategoryFacet”包括gender : "Male" AND
books.bcl_name : "Trivia"

的计数

因此，在结果集中，您将获得所有“男性”用户，但是CategoryFacet会为您提供“男性用户且其book.bcl_name为Trivia”的计数。

在第二个查询中，您的“CategoryFacet”不包含额外的过滤。它只是从精确结果集中返回构面。