text¶

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Definition
Syntax
Fields
Examples

Definition¶

The text operator performs a full-text search using the analyzer specified in the index configuration. If you do not specify an analyzer, the default standard analyzer is used.

Syntax¶

text has the following syntax:

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{
  $search: {
    "index": <index name>, // optional, defaults to "default"
    "text": {
      "query": "<search-string>",
      "path": "<field-to-search>",
      "fuzzy": <options>,
      "score": <options>
    }
  }
}

Fields¶

Field	Type	Description	Required?
`query`	string or array of strings	The string or strings to search for. If there are multiple terms in a string, Atlas Search also looks for a match for each term in the string separately.	yes
`path`	string or array of strings	The indexed field or fields to search. You can also specify a wildcard path to search. See path construction for more information.	yes
`fuzzy`	object	Enable fuzzy search. Find strings which are similar to the search term or terms.	no
`fuzzy.maxEdits`	integer	Maximum number of single-character edits required to match the specified search term. Value can be `1` or `2`. The default value is `2`.	no
`fuzzy.prefixLength`	integer	Number of characters at the beginning of each term in the result that must exactly match. The default value is `0`.	no
`fuzzy.maxExpansions`	integer	The maximum number of variations to generate and search for. This limit applies on a per-token basis. The default value is `50`.	no
`score`	object	The score assigned to matching search term results. Use one of the following options to modify the score: `boost`: multiply the result score by the given number. `constant`: replace the result score with the given number.	no

Examples¶

The following examples use the movies collection in the sample_mflix database. If you have the sample dataset on your cluster, you can create the Atlas Search index on the title field and run the queries on your cluster. The Tutorial: Create and Query an Atlas Search Index contains instructions for loading the sample dataset, creating an index definition, and running Atlas Search queries.

Basic Example¶

The following Atlas Search example uses the text operator to search the title field in the movies collection for the term surfer.

Example

The following query searches the title field for the term surfer. It includes a $project stage to:

Exclude all fields except title
Add a field named score

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db.movies.aggregate([
  {
    $search: {
      "text": {
        "path": "title",
        "query": "surfer"
      }
    }
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      score: { $meta: "searchScore" }
    }
  }
])

The above query returns the following results:

{ "title" : "Soul Surfer", "score" : 4.572484970092773 }
{ "title" : "Little Surfer Girl", "score" : 3.9323642253875732 }
{ "title" : "Fantastic 4: Rise of the Silver Surfer", "score" : 2.520784616470337 }

Fuzzy Examples¶

The following examples use the text operator to search the title field in the movies collection for terms that are within one character variation of each term in the query phrase naw yark.

maxExpansions Option
prefixLength Option
Default Options

Example

The following query searches the title field for terms that are within one character of each term in the string naw yark. It uses:

The maxEdits field to indicate that only one character variation is allowed for each term to match the query to a document.
The maxExpansions field to indicate that up to one hundred similar terms for naw and one hundred similar terms to yark must be considered when matching the query to a document.

The query also includes a $limit stage to limit the output to 10 results and a $project stage to:

Exclude all fields except title
Add a field named score

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db.movies.aggregate([
  {
    $search: {
      "text": {
        "path": "title",
        "query": "naw yark",
        "fuzzy": {
          "maxEdits": 1,
          "maxExpansions": 100,
        }
      }
    }
  },
  {
    $limit: 10
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      score: { $meta: "searchScore" }
    }
  }
])

The above query returns the following results:

{ "title" : "New York, New York", "score" : 4.392756462097168 }
{ "title" : "New York", "score" : 4.050914287567139 }
{ "title" : "New York Stories", "score" : 3.4838104248046875 }
{ "title" : "New York Minute", "score" : 3.4838104248046875 }
{ "title" : "Synecdoche, New York", "score" : 3.4838104248046875 }
{ "title" : "New York Doll", "score" : 3.4838104248046875 }
{ "title" : "Little New York", "score" : 3.4838104248046875 }
{ "title" : "Escape from New York", "score" : 3.0559897422790527 }
{ "title" : "King of New York", "score" : 3.0559897422790527 }
{ "title" : "Naked in New York", "score" : 3.0559897422790527 }

Example

The following query searches the title field for terms that are within one character of each term in the string naw yark. It uses:

The maxEdits field to indicate that only one character variation is allowed to match the query to a document.
The prefixLength field to indicate that the first two characters of each term in the string naw yark may not be changed to match the query to a document.

The query also includes a $limit stage to limit the output to 8 results and a $project stage to:

Exclude all fields except _id and title
Add a field named score

copy

db.movies.aggregate([
  {
    $search: {
      "text": {
        "path": "title",
        "query": "naw yark",
        "fuzzy": {
          "maxEdits": 1,
          "prefixLength": 2,
        }
      }
    }
  },
  {
    $limit: 8
  },
  {
    $project: {
      "_id": 1,
      "title": 1,
      score: { $meta: "searchScore" }
    }
  }
])

The above query returns the following results:

{ "_id" : ObjectId("573a1396f29313caabce5646", "title" : "The Longest Yard", "score" : 2.949273109436035 }
{ "_id" : ObjectId("573a13aff29313caabd31ed8", "title" : "The Longest Yard", "score" : 2.949273109436035 }
{ "_id" : ObjectId("573a13b7f29313caabd4ad8b", "title" : "Stomp the Yard", "score" : 2.949273109436035 }
{ "_id" : ObjectId("573a13eaf29313caabdcf410", "title" : "Naz & Maalik", "score" : 2.581432342529297 }
{ "_id" : ObjectId("573a1393f29313caabcddbed", "title" : "La nao capitana", "score" : 2.2200469970703125 }
{ "_id" : ObjectId("573a1399f29313caabcee781", "title" : "Kabhi Haan Kabhi Naa", "score" : 1.9474197626113892 }
{ "_id" : ObjectId("573a13a2f29313caabd0b815", "title" : "Kaho Naa... Pyaar Hai", "score" : 1.9474197626113892 }
{ "_id" : ObjectId("573a13a7f29313caabd1b5c0", "title" : "Oysters at Nam Kee's", "score" : 1.9474197626113892 }

Example

The following query searches the title field for the phrase naw yark. It uses the fuzzy default options where:

maxEdits allows up to two character variation of each term in the given phrase to match the query to a document.
maxExpansions considers up to fifty similar terms for each term in naw yark to find matches.
prefixLength is disabled.

The query also includes a $limit stage to limit the output to 10 results and a $project stage to:

Exclude all fields except title
Add a field named score

copy

db.movies.aggregate([
  {
    $search: {
      "text": {
        "path": "title",
        "query": "naw yark",
        "fuzzy": {}
      }
    }
  },
  {
    $limit: 10
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      score: { $meta: "searchScore" }
    }
  }
])

The above query returns the following results:

{ "title" : "New York, New York", "score" : 4.392756462097168 }
{ "title" : "New York", "score" : 4.050914287567139 }
{ "title" : "New York Stories", "score" : 3.4838104248046875 }
{ "title" : "New York Minute", "score" : 3.4838104248046875 }
{ "title" : "Synecdoche, New York", "score" : 3.4838104248046875 }
{ "title" : "New York Doll", "score" : 3.4838104248046875 }
{ "title" : "Little New York", "score" : 3.4838104248046875 }
{ "title" : "Escape from New York", "score" : 3.0559897422790527 }
{ "title" : "King of New York", "score" : 3.0559897422790527 }
{ "title" : "Naked in New York", "score" : 3.0559897422790527 }

← span wildcard →