ElasticSearch - 与过滤器的多重匹配 - 不返回任何结果 [英] ElasticSearch - multi-match with filter - returns no result

问题描述

我有一个问题。在我的JSON请求中添加过滤器时，我的搜索结果将返回0

  {
body：
 {
query：{
multi_match：
 {
查询：Joe Jerick Aparments，
fields：[name ，类别，地址，描述]} 
}，
过滤器：
 {
源：类别：公寓
} 
  

}
}

首先，首先，

1. 是的，已经有数据。


2. 是的没有错误


3. 是的，没有拼写错误的单词

谢谢！

解决方案

  {
 index：stores，
 type：stores，
 id：1，
 body：{
 name：Joe Jerick Apartments，
类别：公寓
地址：某处下路 
描述：最好的公寓！ 
} 
} 
  

所以，我没有在我的早期看到评论，但如果您要查询的字段嵌套在正文内（在存储 - 不在检索）中，您需要一个嵌套查询来获取列出的字段（我不知道你是否描述你的映射或它的外观像一个match_all的查询检索一样）

如果是这种情况，你需要将body映射为嵌套，然后你的查询看起来就像这样。

  {
query：{
filtered：{
query ：{
multi_match：{
query：Joe Jerick Apartments，
fields：[
body.name，
body .Category，
body.address，
body.description
 ] 
} 
}，
过滤器：{
term：{
body.Category：Apartments
} 
} 
} 
} 
} 
  

以扁平结构重新导入您的记录

  {
id：1，
 名字：Joe Jerick公寓，
类别：公寓，
地址：某处下路，
描述：最好的公寓！  
} 
  

I have a problem. My search result returns zero when I add a filter in my JSON request

{
 "body":
   {
      "query":{
         "multi_match":
               {
              "query":"Joe Jerick Aparments",
              "fields":["name","Category","address","description"]}
       },
   "filter":
        {
           "source":"Category":"Apartments"
      }

} }

First things first,

1. Yes, there is already data.
2. Yes there is no error
3. Yes there is no misspelled words

Thanks!

解决方案

{
  index: "stores",
  type: "stores",
  id: "1",
  body: {
    name: "Joe Jerick Apartments",
    Category: "Apartments"
    address: "Somewhere down the road",
    description: "Best apartment yet!"
  }
} 

So, I didn't see this in my earlier comment but if the fields you're querying on are nested inside of body (in storage -- not in retrieval) you'll need a nested query to get at the fields listed (I'm not sure if you're describing your mapping or what it looks like on query retrieval for a match_all)

If this is the case you'll need body to be mapped as "nested" and then your query would look something like this.

{
    "query": {
      "filtered": {
        "query": {
          "multi_match": {
            "query": "Joe Jerick Apartments",
            "fields": [
              "body.name",
              "body.Category",
              "body.address",
              "body.description"
            ]
          }
        },
        "filter": {
          "term": {
            "body.Category": "Apartments"
          }
        }
      }
    }
}

Altertively you could re-import your records with a flattened structure

{
  "id": "1",
  "name": "Joe Jerick Apartments",
  "Category": "Apartments",
  "address": "Somewhere down the road",
  "description": "Best apartment yet!"
}

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