ElasticSearch _search查詢和嵌套文件

Question

我有以下文件類型：

"_source": { 
    "name": "abc", 
    "email": "abc@gmail.com", 
    "surname": "abcdn", 
    "custom_attributes": { 
     "custom1": "2bdwfwefgwef", 
     "custom2": "2015-08-03 00:43:00", 
     "custom3": "United States (English)" 
    }, 
    "language": "US", 
    "gender": "m" 
    } 

我想過濾通過名和姓，也把它的嵌套元素沒有濾波（在這種情況下，它是「custom_attributes」）

下面是我正在使用的查詢;

{ 
    "from" : 0, "size" : 10, 
    "query": { 
     "filtered": { 
      "filter": { 
      "and" : [ 
       {"missing" : { "field" : "name" } }, 
       {"missing" : { "field" : "surname" } } 
      ] 
     } 
     } 
     } 
} 

但問題是，它不帶孩子元素（它作爲空的地圖（）和我不能弄清楚如何使用「嵌套」符號在這裏帶來的custom_attributes

Answer 1

你應該使用bool查詢我試着用下面簡單的例子（動態映射）：

POST my_index/my_type/ 
{ 
    "name": "a", 
    "surname": "a", 
    "email": "abc@gmail.com", 
    "custom_attributes": { 
    "custom1": "2bdwfwefgwef", 
    "custom2": "2015-08-03 00:43:00", 
    "custom3": "United States (English)" 
    }, 
    "language": "US", 
    "gender": "m" 
} 
POST my_index/my_type/ 
{ 
    "name": "b", 
    "email": "abc@gmail.com", 
    "custom_attributes": { 
    "custom1": "2bdwfwefgwef", 
    "custom2": "2015-08-03 00:43:00", 
    "custom3": "United States (English)" 
    }, 
    "language": "US", 
    "gender": "m" 
} 
POST my_index/my_type/ 
{ 
    "surname": "c", 
    "email": "abc@gmail.com", 
    "custom_attributes": { 
    "custom1": "2bdwfwefgwef", 
    "custom2": "2015-08-03 00:43:00", 
    "custom3": "United States (English)" 
    }, 
    "language": "US", 
    "gender": "m" 
} 
POST my_index/my_type/ 
{ 
    "email": "abc@gmail.com", 
    "custom_attributes": { 
    "custom1": "2bdwfwefgwef", 
    "custom2": "2015-08-03 00:43:00", 
    "custom3": "United States (English)" 
    }, 
    "language": "US", 
    "gender": "m" 
} 
GET my_index/_search 
{ 
    "from": 0, 
    "size": 10, 
    "query": { 
    "bool": { 
     "must_not": [ 
     { 
      "exists": { 
      "field": "name" 
      } 
     }, 
     { 
      "exists": { 
      "field": "surname" 
      } 
     } 
     ] 
    } 
    } 
} 

導致：

{ 
    "took": 51, 
    "timed_out": false, 
    "_shards": { 
    "total": 5, 
    "successful": 5, 
    "failed": 0 
    }, 
    "hits": { 
    "total": 1, 
    "max_score": 1, 
    "hits": [ 
     { 
     "_index": "my_index", 
     "_type": "my_type", 
     "_id": "AVmfDTiBdjT9iO0jiYdN", 
     "_score": 1, 
     "_source": { 
      "email": "abc@gmail.com", 
      "custom_attributes": { 
      "custom1": "2bdwfwefgwef", 
      "custom2": "2015-08-03 00:43:00", 
      "custom3": "United States (English)" 
      }, 
      "language": "US", 
      "gender": "m" 
     } 
     } 
    ] 
    } 
}