弹性搜索未返回术语查询的预期结果

Question

This is how ,my article data looks in elastic search

id:123,
title:xyz,
keywords:"Test Example"


id:124,
title:xyzz,
keywords:"Test Example|test1"

When a keyword is clicked on the front end,say for example: 'Test Example' then i should get articles having that keyword ( i should get above two articles as my results).But i am getting only first article as my result and below is my mapping:

"keywords":
{
"type":"string",
"index":"not_analysed"
}

How can i get both articles in search results?Thank you

Answer 1

Term Query searches for exact terms. That's why when you search for Test Example you get only one result, as there is only one record that exactly matches Test Example . If you want both the results you need to use something like match or query_string . You can use query_string like:

{
"query": {
    "query_string": {
       "default_field": "keywords",
        "query": "Test Example*"
    }
  }
}

Answer 2

您必须使用query_string进行查询，术语查询仅搜索确切的术语。

Answer 3

You set your keywords field to not_analyzed : if you want the field to be searchable you should remove the index clause like so

"keywords": {
    "type":"string"
}

Searching over this field with a match query, anyway, will return results containing a superset of the provided query: searching for test will return both documents even though the tag is actually Test Example .

---

If you can change your documents to something like this

id:123,
title:xyz,
keywords:"Test Example"


id:124,
title:xyzz,
keywords: ["Test Example", "test1"]

you can use your original mapping with "index":"not_analysed" and a term query will return only documents containing exactly the tag you were looking for.

{
  "query": {
    "term": {
      "keywords": "test1"
    }
  }
}

Another option to accomplish the same result is to use a pattern tokenizer to split your tag string on the | character to accomplish the same result

  "tokenizer": {
    "split_tags": {
      "type": "pattern",
      "group": "-1",
      "pattern": "\|"
    }
  }

Answer 4

I have got it working with the following tokenizer:

"split_keywords": {
      "type": "pattern",
      "group": "0",
      "pattern": "([^|]+)"
    }

Keywords will split at pipe character(below is the example)

{
  "tokens" : [ {
    "token" : "TestExample",
    "start_offset" : 0,
    "end_offset" : 12,
    "type" : "word",
    "position" : 1
  }, {
    "token" : "test",
    "start_offset" : 13,
    "end_offset" : 17,
    "type" : "word",
    "position" : 2
  }, {
    "token" : "1",
    "start_offset" : 17,
    "end_offset" : 18,
    "type" : "word",
    "position" : 3
  }, {
    "token" : "test1",
    "start_offset" : 13,
    "end_offset" : 18,
    "type" : "word",
    "position" : 3
  } ]
}

Now when i search for 'TestExample',i get above two articles. Thanks a lot for your help :)