如何使Elastic Engine理解将不分析字段以进行精确匹配? [英] How to make Elastic Engine understand a field is not to be analyzed for an exact match?

问题描述

该问题基于上一篇文章完全搜索根据Match或MatchPhrasePrefix都不起作用.

The question is based on the previous post where the Exact Search did not work either based on Match or MatchPhrasePrefix.

然后我在此处找到了类似的帖子在映射定义中设置为not_analyzed(通过@Russ Cam).

Then I found a similar kind of post here where the search field is set to be not_analyzed in the mapping definition (by @Russ Cam).

但是我正在使用

package id="Elasticsearch.Net" version="7.6.0" targetFramework="net461"
 package id="NEST" version="7.6.0" targetFramework="net461"

，可能正是由于这个原因，该解决方案无法正常工作.

and might be for that reason the solution did not work.

因为如果我通过"SOME"，它将与"SOME"和"SOME OTHER LOAN"相匹配(在我之前的文章中为产品价值").

Because If I pass "SOME", it matches with "SOME" and "SOME OTHER LOAN" which should not be the case (in my earlier post for "product value").

如何使用NEST 7.6.0进行相同操作?

How can I do the same using NEST 7.6.0?

推荐答案

好吧，我不知道您当前的映射看起来如何.我也不太了解NEST，但我会解释

Well I'm not aware of how your current mapping looks. Also I don't know about NEST as well but I will explain

如何使Elastic Engine理解不应该分析字段以进行完全匹配?

How to make Elastic Engine understand a field is not to be analyzed for an exact match?

以使用弹性dsl的示例为例.

by an example using elastic dsl.

对于完全匹配(区分大小写)，您要做的就是将字段类型定义为keyword.对于keyword类型的字段，无需应用任何分析器即可对数据进行索引，因此非常适合精确匹配.

For exact match (case sensitive) all you need to do is to define the field type as keyword. For a field of type keyword the data is indexed as it is without applying any analyzer and hence it is perfect for exact matching.

PUT test
{
  "mappings": {
    "properties": {
      "field1": {
        "type": "keyword"
      }
    }
  }
}

现在让我们为一些文档建立索引

Now lets index some docs

POST test/_doc/1
{
  "field1":"SOME"
}

POST test/_doc/2
{
  "field1": "SOME OTHER LOAN"
}

对于精确匹配，我们可以使用术语查询.让我们搜索"SOME"，我们应该得到文档1.

For exact matching we can use term query. Lets search for "SOME" and we should get document 1.

GET test/_search
{
  "query": {
    "term": {
      "field1": "SOME"
    }
  }
}

我们得到的O/P:

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 0.6931472,
    "hits" : [
      {
        "_index" : "test",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 0.6931472,
        "_source" : {
          "field1" : "SOME"
        }
      }
    ]
  }
}

因此，症结所在是将字段类型设置为keyword并使用term查询.

So the crux is make the field type as keyword and use term query.

这篇关于如何使Elastic Engine理解将不分析字段以进行精确匹配?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！