弹性搜索 - 显示数组的所有不同值 [英] Elastic Search - display all distinct values of an array

问题描述

 主题：[p] 科学研究，数值分析，艺术史] 
  

我想查询此字段并检索具有频率计数的类别的全名。到目前为止，我尝试的方面是：

 查询：{
match_all：{} 
}，
facets：{
tag：{
terms：{
field：subject} 
} 
} 
  

不按预期工作，因为它将我的主题字段分成标记，并将我的最多频繁的戒烟。如何获得已分析字段的计数的完整条目，而不仅仅是前10名？谢谢！

解决方案

我将使用多字段定义您的映射像这样 -

  {
 ..... 
 .... 
。 ... 
subject：{
type：multi_field，
store：yes，
fields：{
 分析：{
type：string，
analyzer：standard
}，
notanalyzed：{
type ：string，
index：not_analyzed
} 
} 
} 
  

然后，我将在 notanalyzed 字段上执行您的刻板，如下所示 -

 查询：{
match_all：{} 
}，
facets：{
tag 
条款：{
 field：subject.notanalyzed，
size：50 
} 
} 
} 
  

For a field mapped as string I have stored list of strings in the ES index, for ex:

  subject: ["Scientific Research", "Numerical Analysis", "History of Art"]

I would like to query this field and retrieve the full names of categories with their frequency count. What I tried so far with facets:

  "query":{
       "match_all": {}
   }, 
   "facets":{
       "tag":{
           "terms":{
               "field":"subject"}
             }
   }  

is not working as expected because it splits my subject fields into tokens and returns me the top most frequent stopwords. How can I get full entries ordered by counts for an analyzed field, and not only the top 10, if possible? Thanks!

解决方案

I would use a multi-field define your mapping like so -

{
   .....
        ....
            .....
            "subject": {
                "type": "multi_field",
                "store": "yes",
                "fields": {
                    "analyzed": {
                        "type": "string",
                        "analyzer": "standard"
                    },
                    "notanalyzed": {
                        "type": "string",
                        "index": "not_analyzed"
                    }
                }
            }

Then I would carry out your faceting on the notanalyzed field like so -

"query":{
      "match_all": {}
  }, 
  "facets":{
      "tag":{
          "terms":{
              "field":"subject.notanalyzed",
              "size": 50
            }
        }
  }  

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