如何阅读分面搜索查询的JSON输出？

Question

我有属于一个流派，并有多个评级的电影。使用ElasticSearch，我想先对流派进行分面搜索，然后再进行评分。

我读到有关的想法在这里：http://www.elasticsearch.org/guide/reference/api/search/facets/

但我很困惑如何理解这种卷曲查询的输出：我有一些电影是用“T”开始

 
curl -X POST "http://localhost:9200/movies/_search?pretty=true" -d ' 
{ 
    "query" : { "query_string" : {"query" : "T*"} }, 
    "facets" : { 
     "categories" : { "terms" : {"field" : "categories"} } 
    } 
    } 
' 
{ 
    "took" : 35, 
    "timed_out" : false, 
    "_shards" : { 
    "total" : 5, 
    "successful" : 5, 
    "failed" : 0 
    }, 
    "hits" : { 
    "total" : 3, 
    "max_score" : 1.0, 
    "hits" : [ { 
     "_index" : "movies", 
     "_type" : "movie", 
     "_id" : "13", 
     "_score" : 1.0, "_source" : {"category_id":2,"created_at":"2013-05-03T16:40:21Z","description":null,"title":"Tiny Plastic Men","updated_at":"2013-05-03T16:40:21Z","user_id":null} 
    }, { 
     "_index" : "movies", 
     "_type" : "movie", 
     "_id" : "32", 
     "_score" : 1.0, "_source" : {"category_id":14,"created_at":"2013-05-03T16:55:02Z","description":null,"title":"The Extreme Truth","updated_at":"2013-05-03T16:55:02Z","user_id":null} 
    }, { 
     "_index" : "movies", 
     "_type" : "movie", 
     "_id" : "39", 
     "_score" : 1.0, "_source" : {"category_id":7,"created_at":"2013-05-03T16:55:02Z","description":null,"title":"A Time of Day","updated_at":"2013-05-03T16:55:02Z","user_id":null} 
    } ] 
    }, 
    "facets" : { 
    "categories" : { 
     "_type" : "terms", 
     "missing" : 3, 
     "total" : 0, 
     "other" : 0, 
     "terms" : [ ] 
    } 
    } 

，但另外我会期望来自类型/类别'颤栗'的电影。

因此，我可以从上面的JSON读取什么？

Answer 1

它看起来像你的面不符合您的文档中的任何字段你应该使用：

curl -X POST "http://localhost:9200/movies/_search?pretty=true" -d ' 
{ 
    "query" : { "query_string" : {"query" : "T*"} }, 
    "facets" : { 
     "categories" : { "terms" : {"field" : "category_id"} } 
    } 
    } 
' 

那么前人的精力得到CATEGORY_ID的名单和文件中的每一个计数CATEGORY_ID

Answer 2

刻面已弃用。见https://www.elastic.co/guide/en/elasticsearch/reference/1.6/search-facets.html

更好的选择是使用聚合：https://www.elastic.co/guide/en/elasticsearch/reference/1.6/search-aggregations.html