Cara menggunakan mongodb atlas fuzzy search

Syntax

wildcard has the following syntax:

{
  $search: {
    "index": , // optional, defaults to "default"
    "wildcard": {
      "query": "",
      "path": "",
      "allowAnalyzedField": ,
      "score": 
    }
  }
}

Options

wildcard uses the following terms to construct a query:

Field

Type

Description

Necessity

Default

"*\\**"

string or array of strings

String or strings to search for.

yes

"*\\**"

string or array of strings

Indexed field or fields to search. You can also specify a to search. See for more information.

yes

"*\\**"

boolean

Must be set to

"*\\**"

no

"*\\\*"

"*\\\*"

object

Modify the assigned to matching search term results. Options are:

• "*\\\*"

  2: multiply the result score by the given number.

• "*\\\*"

  3: replace the result score with the given number.

no

Behavior

wildcard is a term-level operator, meaning that the

"*\\**"

"*\\**"

"*\\**"

Example

Suppose that a field

"*\\\*"

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

Example

Searching for

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

"*\\**"

"*\\\*"

Examples

The following examples use the wildcard4 collection in the wildcard5 database with a custom index definition that uses the . If you have the on your cluster, you can create an Atlas Search index on the wildcard4 collection and run the example queries on your cluster.

Tip

If you've already loaded the , follow the tutorial to create an and run Atlas Search queries.

1
{
2
  "mappings": {
3
    "fields": {
4
      "title": {
5
        "analyzer": "lucene.keyword",
6
        "type": "string"
7
      }
8
    }
9
  }
10
}

"*\\**"