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2. Use Operators & Collectors

autocomplete

On this page

  • Definition
  • Sample Use Cases
  • Syntax
  • Options
  • Scoring Behavior
  • Examples
  • Index Definition
  • Basic Example
  • Fuzzy Example
  • Token Order Example
  • Starts With Example
  • Simple any Example
  • Simple sequential Example
  • Highlighting Example
  • Search Across Multiple Fields
  • Bucket Results through Facet Queries

Definition

autocomplete

The autocomplete operator performs a search for a word or phrase that contains a sequence of characters from an incomplete input string. The fields that you intend to query with the autocomplete operator must be indexed with the autocomplete data type in the collection's index definition. To learn how to configure your index for autocompletion, see How to Index Fields for Autocompletion.

Note

Atlas Search might return inaccurate results for queries with more than three words in a single string.

Sample Use Cases

You can use the autocomplete operator with search-as-you-type applications to predict words with increasing accuracy as characters are entered in your application's search field. autocomplete returns results that contain predicted words based on the tokenization strategy specified in the index definition for autocompletion.

If you want to build suggestions or dropdowns using the Atlas Search autocomplete operator, we recommend that you query a collection of suggested search terms or use past search terms to populate the dropdown. If you create a separate collection of suggested search terms, you can define synonym mappings in your Atlas Search index to search your collection for the exact or alternative words. You can track search terms and view metrics for search terms to build your collection.

Syntax

autocomplete has the following syntax:

1{
2  $search: {
3    "index": "<index name>", // optional, defaults to "default"
4    "autocomplete": {
5      "query": "<search-string>",
6      "path": "<field-to-search>",
7      "tokenOrder": "any|sequential",
8      "fuzzy": <options>,
9      "score": <options>
10    }
11  }
12}

Options

Field
Type
Description
Necessity
Default

query

string or array of strings

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

Indexed field to search. This field must be indexed as the autocomplete data type. To learn more, see How to Index Fields for Autocompletion.

The autocomplete operator doesn't support the multi or wildcard (*) options in the path parameter. It also doesn't support an array of fields as the path value. To learn more, see Construct a Query Path.

For an example of an autocomplete operator query across multiple fields, see Search Across Multiple Fields or the Advanced Example in How to Use Autocomplete with Atlas Search.

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.

no

2

fuzzy
.prefixLength

integer

Number of characters at the beginning of each term in the result that must exactly match.

no

0

fuzzy
.maxExpansions

integer

Maximum number of variations to generate and search for. This limit applies on a per-token basis.

no

50

score

object

Score to assign to the matching search term results. Use one of the following options to modify the default score:

boost

Multiply the result score by the given number.

constant

Replace the result score with the given number.

function

Replace the result score with the given expression.

autocomplete offers less fidelity in score in exchange for faster query execution. To learn more, see Scoring Behavior.

For information on using score in your query, see Score the Documents in the Results.

no

tokenOrder

string

Order in which to search for tokens. Value can be one of the following:

any

Indicates tokens in the query can appear in any order in the documents. Results contain documents where the tokens appear sequentially and non-sequentially. However, results where the tokens appear sequentially score higher than other, non-sequential values.

sequential

Indicates tokens in the query must appear adjacent to each other or in the order specified in the query in the documents. Results contain only documents where the tokens appear sequentially.

no

any

Scoring Behavior

The autocomplete operator query results that are exact matches receive a lower score than results that aren't exact matches. Atlas Search can't determine if a query string is an exact match for an indexed text if you specify just the autocomplete-indexed token substrings. To score exact matches higher, try the following workaround:

Note

The following workaround doesn't guarantee higher scores for exact matches in all cases.

  1. Index the field as both autocomplete and string types.

    Atlas Search autocomplete boosts exact matches when an autocomplete field is also indexed as a string, thereby increasing the score of exact matches.

  2. Query using the compound operator.

For a demonstration of this workaround, see Search Across Multiple Fields.

Examples

The following examples use the movies collection in the sample_mflix database. If you loaded the sample dataset on your cluster, you can create the static index for autocompletion and run the example queries on your cluster.

Tip

If you've already loaded the sample dataset, follow the Get Started with Atlas Search tutorial to create an index definition and run Atlas Search queries.

Index Definition

The following tabs contain sample index definitions for the edgeGram, rightEdgeGram, and nGram tokenization strategies. In addition to the autocomplete type, the sample index definitions include the string and stringFacet types on the title field.

1{
2  "mappings": {
3    "dynamic": false,
4    "fields": {
5      "title": [
6        {
7          "type": "stringFacet"
8        },
9        {
10          "type": "string"
11        },
12        {
13          "foldDiacritics": false,
14          "maxGrams": 7,
15          "minGrams": 3,
16          "tokenization": "edgeGram",
17          "type": "autocomplete"
18        }
19      ]
20    }
21  }
22}
1{
2  "mappings": {
3    "dynamic": false,
4    "fields": {
5      "title": [
6        {
7          "type": "stringFacet"
8        },
9        {
10          "type": "string"
11        },
12        {
13          "type": "autocomplete",
14          "tokenization": "rightEdgeGram",
15          "minGrams": 3,
16          "maxGrams": 7,
17          "foldDiacritics": false
18        }
19      ]
20    }
21  }
22}
1{
2  "mappings": {
3    "dynamic": false,
4    "fields": {
5      "title": [
6        {
7          "type": "stringFacet"
8        },
9        {
10          "type": "string"
11        },
12        {
13          "type": "autocomplete",
14          "tokenization": "nGram",
15          "minGrams": 3,
16          "maxGrams": 7,
17          "foldDiacritics": false
18        }
19      ]
20    }
21  }
22}

➤ Use the Select your language drop-down menu to set the language of the example on this page.

To view and edit query syntax in the Search Tester:

1

In Atlas, go to the Clusters page for your project.

  1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

  2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

  3. If it's not already displayed, click Clusters in the sidebar.

    The Clusters page displays.

2

Go to the Atlas Search page for your cluster.

You can go the Atlas Search page from the sidebar, the Data Explorer, or your cluster details page.

  1. In the sidebar, click Atlas Search under the Services heading.

  2. From the Select data source dropdown, select your cluster and click Go to Atlas Search.

    The Atlas Search page displays.

  1. Click the Browse Collections button for your cluster.

  2. Expand the database and select the collection.

  3. Click the Search Indexes tab for the collection.

    The Atlas Search page displays.

  1. Click the cluster's name.

  2. Click the Atlas Search tab.

    The Atlas Search page displays.

3

View and edit the query syntax.

  1. Click the Query button to the right of the index to query.

  2. Click Edit Query to view a default query syntax sample in JSON format.

Run the following command at the mongosh prompt to use the sample_mflix database:

use sample_mflix

Basic Example

The following query searches for movies with the characters off in the title field.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "off"
      }
    }
  }
]

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
        "path": "title",
        "query": "off"
      }
    }
  },
  {
    $limit: 10
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  }
])

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "query": "off",
    "path": "title"
  }
}

$limit

10

$project

{
  "_id": 0,
  "title": 1,
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteBasicExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "off"))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id))
            .Limit(10)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.D{{"query", "off"}, {"path", "title"}}}}}}
	limitStage := bson.D{{"$limit", 10}}
	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteBasicExample {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", new Document("query", "off").append("path", "title")));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(10),
                project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search",
            Document("autocomplete", Document("query", "off")
                .append("path", "title"))
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(10),
                project(fields(excludeId(), include("title")))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "off", path: "title"}}},
            {$limit: 10},
            {$project: {_id: 0,title: 1}}
        ];
        // run pipeline
        const result = await coll.aggregate(agg);
        // print results
        await result.forEach((doc) => console.log(doc));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search": {"autocomplete": {"query": "off", "path": "title"}}},
    {"$limit": 10},
    {"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 9.361787796020508  _id:  "573a13b0f29313caabd355c8"
  countries: Array
  genres: Array
  runtime: 100
  ...
  title: "Off Beat"
SCORE: 9.068204879760742  _id:  "573a13aaf29313caabd22a8c"
  fullplot: "An 11-year-old girl watches her father come down with a crippling depr…"
  imdb: Object
  year: 2003
  ...
  title: "Off the Map"
SCORE: 9.068204879760742  _id:  "573a13bef29313caabd5d208"
  plot: "With white Jewish lesbians for parents and two adopted brothers - one …"
  genres: Array
  runtime: 76
  ...
  title: "Off and Running"
SCORE: 8.742463111877441  _id:  "573a13bbf29313caabd5567"
  countries: Array
  genres: Array
  runtime: 98
  ...
  title: "Hands off Mississippi"
SCORE: 8.61273193359375  _id:  "5573a1396f29313caabce4791"
  plot: "Unable to deal with her parents, Jeannie Tyne runs away from home. Lar…"
  genres: Array
  runtime: 93
  ...
  title: "Taking Off"
SCORE: 8.61273193359375  _id:  "573a1399f29313caabced3c1"
  plot: "A travelling theater group find so much action going on behind-the-sce…"
  genres: Array
  runtime: 101
  ...
  title: "Noises Off..."
SCORE: 8.61273193359375  _id:  "573a139af29313caabcefc73"
  fullplot: "In existence for a hundred years, Grimley Colliery Brass band is as ol…"
  imdb: Object
  year: 1996
  ...
  title: "Brassed Off"
SCORE: 8.61273193359375  _id:  "573a139af29313caabcf08f5"
  fullplot: "Sean Archer, a very tough, rugged FBI Agent. Who is still grieving for…"
  imdb: Object
  year: 1997
  ...
  title: "Face/Off"
SCORE: 8.603004455566406  _id:  "573a13a9f29313caabd1ea36"
  fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
  imdb: Object
  year: 2004
  ...
  title: "Benji: Off the Leash!"
SCORE: 7.953945159912109  _id:  "573a139af29313caabcf037c"
  plot: "Desperation drives four inner-city women (Queen Latifah, Jada Pinkett …"
  genres: Array
  runtime: 123
  ...
  title: "Set it Off"
SCORE: 9.81808090209961  _id:  "5573a1396f29313caabce4791"
  plot: "Unable to deal with her parents, Jeannie Tyne runs away from home. Lar…"
  genres: Array
  runtime: 93
  ...
  title: "Taking Off"
SCORE: 9.81808090209961  _id:  "573a1399f29313caabced3c1"
  plot: "A travelling theater group find so much action going on behind-the-sce…"
  genres: Array
  runtime: 101
  ...
  title: "Noises Off..."
SCORE: 9.81808090209961  _id:  "573a139af29313caabcefc73"
  fullplot: "In existence for a hundred years, Grimley Colliery Brass band is as ol…"
  imdb: Object
  year: 1996
  ...
  title: "Brassed Off"
SCORE: 9.81808090209961  _id:  "573a139af29313caabcf08f5"
  fullplot: "Sean Archer, a very tough, rugged FBI Agent. Who is still grieving for…"
  imdb: Object
  year: 1997
  ...
  title: "Face/Off"
SCORE: 9.544584274291992  _id:  "573a139af29313caabcf037c"
  plot: "Desperation drives four inner-city women (Queen Latifah, Jada Pinkett …"
  genres: Array
  runtime: 123
  ...
  title: "Set it Off"
SCORE: 9.191947937011719  _id:  "573a13bbf29313caabd5567"
  countries: Array
  genres: Array
  runtime: 98
  ...
  title: "Hands off Mississippi"
SCORE: 9.074413299560547  _id:  "573a1398f29313caabce9f28"
  plot: "A high school wise guy is determined to have a day off from school, de…"
  genres: Array
  runtime: 103
  ...
  title: "Ferris Bueller's Day Off"
SCORE: 9.007184982299805  _id:  "573a13b0f29313caabd355c8"
  countries: Array
  genres: Array
  runtime: 100
  ...
  title: "Off Beat"
SCORE: 8.700296401977539  _id:  "573a13a9f29313caabd1ea36"
  fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
  imdb: Object
  year: 2004
  ...
  title: "Benji: Off the Leash!"
SCORE: 8.33833122253418  _id:  "573a13aaf29313caabd22a8c"
  fullplot: "An 11-year-old girl watches her father come down with a crippling depr…"
  imdb: Object
  year: 2003
  ...
  title: "Off the Map"
SCORE: 5.802560806274414  _id:  “573a1396f29313caabce47f4”
  countries: Array
  genres: Array
  runtime: 98
  ...
  title: "Come Have Coffee with Us"
SCORE: 5.790548801422119  _id:  "573a13d1f29313caabd90811"
  plot: "From pagan re-enactors to failed communes, black metal festivals to Ar…"
  genres: Array
  runtime: 98
  ...
  title: "A Spell to Ward Off the Darkness"
SCORE: 5.7726240158081055  _id:  "573a13f3f29313caabddeb07"
  plot: "Turkey in the 1960s and 70s was one of the biggest producers of film i…"
  genres: Array
  runtime: 96
  ...
  title: "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema"
SCORE: 5.749281883239746  _id:  "573a13a9f29313caabd1ea36"
  fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
  imdb: Object
  year: 2004
  ...
  title: "Benji: Off the Leash!"
SCORE: 5.749281883239746  _id:  "573a13d4f29313caabd98488"
  fullplot: "This tragicomedy is a self-ironic portrait of a young man who drops ou…"
  imdb: Object
  year: 2012
  ...
  title: "A Coffee in Berlin"
SCORE: 5.74220085144043  _id:  “573a1397f29313caabce863f”
  fullplot: "Zack Mayo is a young man who has signed up for Navy Aviation Officer C…"
  imdb: Object
  year: 1982
  ...
  title: "An Officer and a Gentleman"
SCORE: 5.671174049377441  _id:  “573a1398f29313caabce987c”
  plot: "After the end of the Dirty War, a high school teacher sets out to find…"
  genres: Array
  runtime: 112
  ...
  title: "The Official Story"
SCORE: 5.671174049377441  _id:   “573a13a5f29313caabd14c36”
  plot: "The first days of WWI. Adrien, a young and handsome lieutenant, is wou…"
  genres: Array
  runtime: 135
  ...
  title: "The Officer's Ward"
SCORE: 5.671174049377441  _id:  "573a13bbf29313caabd5567"
  countries: Array
  genres: Array
  runtime: 98
  ...
  title: "Hands off Mississippi"
SCORE: 5.534632682800293  _id:  "573a1395f29313caabce18c9"
  plot: "In this "Romeo and Juliet" inspired Cold War satire starring, written …"
  genres: Array
  runtime: 103
  ...
  title: "Romanoff and Juliet"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{ title: 'Off Beat' },
2{ title: 'Off the Map' },
3{ title: 'Off and Running' },
4{ title: 'Hands off Mississippi' },
5{ title: 'Taking Off' },
6{ title: 'Noises Off...' },
7{ title: 'Brassed Off' },
8{ title: 'Face/Off' },
9{ title: 'Benji: Off the Leash!' },
10{ title: 'Set It Off' }

In the above results, the characters off appear at the left side of a word in all the titles.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

In the above results, the characters off appear at the right side of a word in all the titles.

1{ title: 'Come Have Coffee with Us' },
2{ title: 'A Spell to Ward Off the Darkness' },
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' },
4{ title: 'Benji: Off the Leash!' },
5{ title: 'A Coffee in Berlin' },
6{ title: 'An Officer and a Gentleman' },
7{ title: 'The Official Story' },
8{ title: "The Officer's Ward" },
9{ title: 'Hands off Mississippi' },
10{ title: 'Romanoff and Juliet' }

In the above results, the characters off appear at different positions in the titles.

1{ title: 'Off Beat' },
2{ title: 'Off the Map' },
3{ title: 'Off and Running' },
4{ title: 'Hands off Mississippi' },
5{ title: 'Taking Off' },
6{ title: 'Noises Off...' },
7{ title: 'Brassed Off' },
8{ title: 'Face/Off' },
9{ title: 'Benji: Off the Leash!' },
10{ title: 'Set It Off' }

In the above results, the characters off appear at the left side of a word in all the titles.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

In the above results, the characters off appear at the right side of a word in all the titles.

1{ title: 'Come Have Coffee with Us' },
2{ title: 'A Spell to Ward Off the Darkness' },
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' },
4{ title: 'Benji: Off the Leash!' },
5{ title: 'A Coffee in Berlin' },
6{ title: 'An Officer and a Gentleman' },
7{ title: 'The Official Story' },
8{ title: "The Officer's Ward" },
9{ title: 'Hands off Mississippi' },
10{ title: 'Romanoff and Juliet' }

In the above results, the characters off appear at different positions in the titles.

1{ "title": "Off Beat" }
2{ "title": "Off the Map" }
3{ "title": "Off and Running" }
4{ "title": "Hands off Mississippi" }
5{ "title": "Taking Off" }
6{ "title": "Noises Off..." }
7{ "title": "Brassed Off" }
8{ "title": "Face/Off" }
9{ "title": "Benji: Off the Leash!" }
10{ "title": "Set It Off" }

In the above results, the characters off appear at the left side of a word in all the titles.

1{ "title" : "Taking Off" }
2{ "title" : "Noises Off..." }
3{ "title" : "Brassed Off" }
4{ "title" : "Face/Off" }
5{ "title" : "Set It Off" }
6{ "title" : "Hands off Mississippi" }
7{ "title" : "Ferris Bueller's Day Off" }
8{ "title" : "Off Beat" }
9{ "title" : "Benji: Off the Leash!" }
10{ "title" : "Off the Map" }

In the above results, the characters off appear at the right side of a word in all the titles.

1{ "title" : "Come Have Coffee with Us" }
2{ "title" : "A Spell to Ward Off the Darkness" }
3{ "title" : "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema" }
4{ "title" : "Benji: Off the Leash!" }
5{ "title" : "A Coffee in Berlin" }
6{ "title" : "An Officer and a Gentleman" }
7{ "title" : "The Official Story" }
8{ "title" : "The Officer's Ward" }
9{ "title" : "Hands off Mississippi" }
10{ "title" : "Romanoff and Juliet" }

In the above results, the characters off appear at different positions in the titles.

1[{title Off Beat}]
2[{title Off the Map}]
3[{title Off and Running}]
4[{title Hands off Mississippi}]
5[{title Taking Off}]
6[{title Noises Off...}]
7[{title Brassed Off}]
8[{title Face/Off}]
9[{title Benji: Off the Leash!}]
10[{title Set It Off}]

In the above results, the characters off appear at the left side of a word in all the titles.

1[{title Taking Off}]
2[{title Noises Off...}]
3[{title Brassed Off}]
4[{title Face/Off}]
5[{title Set It Off}]
6[{title Hands off Mississippi}]
7[{title Ferris Bueller's Day Off}]
8[{title Off Beat}]
9[{title Benji: Off the Leash!}]
10[{title Off the Map}]

In the above results, the characters off appear at the right side of a word in all the titles.

1[{title Come Have Coffee with Us}]
2[{title A Spell to Ward Off the Darkness}]
3[{title Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema}]
4[{title Benji: Off the Leash!}]
5[{title A Coffee in Berlin}]
6[{title An Officer and a Gentleman}]
7[{title The Official Story}]
8[{title The Officer's Ward}]
9[{title Hands off Mississippi}]
10[{title Romanoff and Juliet}]

In the above results, the characters off appear at different positions in the titles.

1{"title": "Off Beat"}
2{"title": "Off the Map"}
3{"title": "Off and Running"}
4{"title": "Hands off Mississippi"}
5{"title": "Taking Off"}
6{"title": "Noises Off..."}
7{"title": "Brassed Off"}
8{"title": "Face/Off"}
9{"title": "Benji: Off the Leash!"}
10{"title": "Set It Off"}

In the above results, the characters off appear at the left side of a word in all the titles.

1{"title": "Taking Off"}
2{"title": "Noises Off..."}
3{"title": "Brassed Off"}
4{"title": "Face/Off"}
5{"title": "Set It Off"}
6{"title": "Hands off Mississippi"}
7{"title": "Ferris Bueller's Day Off"}
8{"title": "Off Beat"}
9{"title": "Benji: Off the Leash!"}
10{"title": "Off the Map"}

In the above results, the characters off appear at the right side of a word in all the titles.

1{"title": "Come Have Coffee with Us"}
2{"title": "A Spell to Ward Off the Darkness"}
3{"title": "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema"}
4{"title": "Benji: Off the Leash!"}
5{"title": "A Coffee in Berlin"}
6{"title": "An Officer and a Gentleman"}
7{"title": "The Official Story"}
8{"title": "The Officer's Ward"}
9{"title": "Hands off Mississippi"}
10{"title": "Romanoff and Juliet"}

In the above results, the characters off appear at different positions in the titles.

1Document{{title=Off Beat}}
2Document{{title=Off the Map}}
3Document{{title=Off and Running}}
4Document{{title=Hands off Mississippi}}
5Document{{title=Taking Off}}
6Document{{title=Face/Off}}
7Document{{title=Noises Off...}}
8Document{{title=Brassed Off}}
9Document{{title=Benji: Off the Leash!}}
10Document{{title=Set It Off}}

In the above results, the characters off appear at the left side of a word in all the titles.

1Document{{title=Noises Off...}}
2Document{{title=Taking Off}}
3Document{{title=Brassed Off}}
4Document{{title=Face/Off}}
5Document{{title=Set It Off}}
6Document{{title=Hands off Mississippi}}
7Document{{title=Ferris Bueller's Day Off}}
8Document{{title=Off Beat}}
9Document{{title=Benji: Off the Leash!}}
10Document{{title=Off and Running}}

In the above results, the characters off appear at the right side of a word in all the titles.

1Document{{title=Taking Off}}
2Document{{title=Noises Off...}}
3Document{{title=Brassed Off}}
4Document{{title=Face/Off}}
5Document{{title=Off Beat}}
6Document{{title=Hands off Mississippi}}
7Document{{title=Off the Map}}
8Document{{title=Set It Off}}
9Document{{title=Off and Running}}
10Document{{title=Benji: Off the Leash!}}

In the above results, the characters off appear at different positions in the titles.

1{ title: 'Off Beat' }
2{ title: 'Off the Map' }
3{ title: 'Off and Running' }
4{ title: 'Hands off Mississippi' }
5{ title: 'Taking Off' }
6{ title: 'Noises Off...' }
7{ title: 'Brassed Off' }
8{ title: 'Face/Off' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Set It Off' }

In the above results, the characters off appear at the left side of a word in all the titles.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

In the above results, the characters off appear at the right side of a word in all the titles.

1{ title: 'Come Have Coffee with Us' }
2{ title: 'A Spell to Ward Off the Darkness' }
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' }
4{ title: 'Benji: Off the Leash!' }
5{ title: 'A Coffee in Berlin' }
6{ title: 'An Officer and a Gentleman' }
7{ title: 'The Official Story' }
8{ title: "The Officer's Ward" }
9{ title: 'Hands off Mississippi' }
10{ title: 'Romanoff and Juliet' }

In the above results, the characters off appear at different positions in the titles.

1{'title': 'Off Beat'}
2{'title': 'Off the Map'}
3{'title': 'Off and Running'}
4{'title': 'Hands off Mississippi'}
5{'title': 'Taking Off'}
6{'title': 'Noises Off...'}
7{'title': 'Brassed Off'}
8{'title': 'Face/Off'}
9{'title': 'Benji: Off the Leash!'}
10{'title': 'Set It Off'}

In the above results, the characters off appear at the left side of a word in all the titles.

1{'title': 'Taking Off'}
2{'title': 'Noises Off...'}
3{'title': 'Brassed Off'}
4{'title': 'Face/Off'}
5{'title': 'Set It Off'}
6{'title': 'Hands off Mississippi'}
7{'title': "Ferris Bueller's Day Off"}
8{'title': 'Off Beat'}
9{'title': 'Benji: Off the Leash!'}
10{'title': 'Off the Map'}

In the above results, the characters off appear at the right side of a word in all the titles.

1{'title': 'Come Have Coffee with Us'}
2{'title': 'A Spell to Ward Off the Darkness'}
3{'title': 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema'}
4{'title': 'Benji: Off the Leash!'}
5{'title': 'A Coffee in Berlin'}
6{'title': 'An Officer and a Gentleman'}
7{'title': 'The Official Story'}
8{'title': "The Officer's Ward"}
9{'title': 'Hands off Mississippi'}
10{'title': 'Romanoff and Juliet'}

In the above results, the characters off appear at different positions in the titles.

Fuzzy Example

The following query searches for movies with the characters pre in the title field. The query uses:

Field

Description

maxEdits

Indicates that only one character variation is allowed in the query string pre to match the query to a word in the documents.

prefixLength

Indicates that the first character in the query string pre can't change when matching the query to a word in the documents.

maxExpansions

Indicates that up to two hundred and fifty six similar terms for pre can be considered when matching the query string to a word in the documents.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "pre",
        fuzzy: {
          maxEdits: 1,
          prefixLength: 1,
          maxExpansions: 256
        }
      }
    }
  }
]
db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
        "path": "title",
        "query": "pre",
        "fuzzy": {
          "maxEdits": 1,
          "prefixLength": 1,
          "maxExpansions": 256
        }
      }
    }
  },
  {
    $limit: 10
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  }
])

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "query": "pre",
    "path": "title",
    "fuzzy": {
      "maxEdits": 1,
      "prefixLength": 1,
      "maxExpansions": 256
    }
  }
}

$limit

10

$project

{
  "_id": 0,
  "title": 1,
}
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteFuzzyExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define fuzzy options
        SearchFuzzyOptions fuzzyOptions = new SearchFuzzyOptions()
            {
                MaxEdits = 1,
                PrefixLength = 1,
                MaxExpansions = 256
            };
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "pre", fuzzy: fuzzyOptions))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id))
            .Limit(10)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
}
package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.D{{"query", "pre"}, {"path", "title"}, {"fuzzy", bson.D{{"maxEdits", 1},{"prefixLength", 1},{"maxExpansions", 256}}}}}}}}
	limitStage := bson.D{{"$limit", 10}}
	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}
import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteFuzzyExample {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", 
                new Document("query", "pre")
                .append("path", "title")
                .append("fuzzy", new Document("maxEdits", 1).append("prefixLength", 1).append("maxExpansions", 256))));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(10),
                project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}
import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search",
            Document("autocomplete", Document("query", "pre")
                .append("path", "title")
                .append("fuzzy", Document("maxEdits", 1)
                    .append("prefixLength", 1)
                    .append("maxExpansions", 256))
            )
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(10),
                project(fields(excludeId(), include("title")))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}
const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "pre", path: "title", fuzzy: {"maxEdits": 1, "prefixLength": 1, "maxExpansions": 256}}}},
            {$limit: 10},
            {$project: {_id: 0,title: 1}}
        ];
        // run pipeline
        const result = await coll.aggregate(agg);
        // print results
        await result.forEach((doc) => console.log(doc));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);
import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search": {"autocomplete": {"query": "pre", "path": "title", "fuzzy": {"maxEdits": 1, "prefixLength": 1, "maxExpansions": 256}}}},
    {"$limit": 10},
    {"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 1  _id:  “573a1390f29313caabcd5293”
  plot: "Young Pauline is left a lot of money when her wealthy uncle dies. Howe…"
  genres: Array
  runtime: 199
  ...
  title: "The Perils of Pauline"
SCORE: 1  _id:  “573a1391f29313caabcd9458”
  plot: "A young artist draws a face at a canvas on his easel. Suddenly the mou…"
  genres: Array
  rated: "UNRATED"
  ...
  title: "The Blood of a Poet"
SCORE: 1  _id:  “573a1392f29313caabcda09b”
  plot: "Tells how King Henry VIII came to marry five more times after his divo…"
  genres: Array
  runtime: 97
  ...
  title: "The Private Life of Henry VIII."
SCORE: 1  _id:  “573a1392f29313caabcda556”
  plot: "What do women want? Don Juan is aging. He's arrived secretly in Sevill…"
  genres: Array
  runtime: 89
  ...
  title: "The Private Life of Don Juan"
SCORE: 1  _id:  “573a1392f29313caabcdaee0”
  plot: "The story of Dr. Samuel Mudd, who was imprisoned after innocently trea…"
  genres: Array
  runtime: 96
  ...
  title: "The Prisoner of Shark Island"
SCORE: 1  _id:  “573a1392f29313caabcdb3f2”
  plot: "Two lookalike boys, one a poor street kid and the other a prince, exch…"
  genres: Array
  runtime: 118
  ...
  title: "The Prince and the Pauper"
SCORE: 1  _id:  “573a1392f29313caabcdb3f4”
  plot: "An Englishman on a Ruritarian holiday must impersonate the king when t…"
  genres: Array
  runtime: 101
  ...
  title: "The Prisoner of Zenda"
SCORE: 1  _id:  “573a1392f29313caabcdb505”
  plot: "After the death of her husband, Christine realizes she has possibly wa…"
  genres: Array
  runtime: 144
  ...
  title: "Dance Program"
SCORE: 1  _id:  “573a1393f29313caabcdca58”
  plot: "While traveling in France during the Nazi invasion of 1940, an English…"
  genres: Array
  runtime: 87
  ...
  title: "The Pied Piper"
SCORE: 1  _id:  “573a1393f29313caabcdca76”
  plot: "The official World War II US Government film statement defining the va…"
  genres: Array
  runtime: 87
  ...
  title: "Prelude to War"
SCORE: 1  _id:  “573a1390f29313caabcd5ea4”
  plot: "A District Attorney's outspoken stand on abortion gets him in trouble …"
  genres: Array
  runtime: 62
  ...
  title: "Where Are My Children?"
SCORE: 1  _id:  “573a1391f29313caabcd70b4”
  plot: "An extended family split up in France and Germany find themselves on o…"
  genres: Array
  runtime: 150
  ...
  title: "The Four Horsemen of the Apocalypse"
SCORE: 1  _id:  “573a1391f29313caabcd7850”
  plot: "In fifteenth century Paris, the brother of the archdeacon plots with t…"
  genres: Array
  runtime: 133
  ...
  title: "The Hunchback of Notre Dame"
SCORE: 1  _id:  “573a1391f29313caabcd8cbd”
  plot: "A young lady from Georgia goes to Hollywood in the hopes of becoming a…"
  genres: Array
  runtime: 83
  ...
  title: "Show People"
SCORE: 1  _id:  “573a1392f29313caabcd9df7”
  plot: "A young American man is transported back to London in the time of the …"
  genres: Array
  runtime: 84
  ...
  title: "Berkeley Square"
SCORE: 1  _id:  “573a1392f29313caabcda7fb”
  plot: "An entertainer impersonates a look-alike banker, causing comic confusi…"
  genres: Array
  runtime: 82
  ...
  title: "Folies Bergère de Paris"
SCORE: 1  _id:  “573a1393f29313caabcdc4a2”
  plot: "Boxer Joe Pendleton dies 50 years too soon due to a heavenly mistake, …"
  genres: Array
  runtime: 94
  ...
  title: "Here Comes Mr. Jordan"
SCORE: 1  _id:  “573a1393f29313caabcdc814”
  plot: "An American man marries a Serbian immigrant who fears that she will tu…"
  genres: Array
  runtime: 73
  ...
  title: "Cat People"
SCORE: 1  _id:  “573a1393f29313caabcdc87b”
  plot: "Mail author for translation. Kodos hegycsucsok, fekete fenyvesek vilag…"
  genres: Array
  runtime: 88
  ...
  title: "People on the Alps"
SCORE: 1  _id:  “573a1393f29313caabcdcd39”
  plot: "A soldier falls for a chorus girl and then experiences trouble when he…"
  genres: Array
  runtime: 103
  ...
  title: "The Gang's All Here"
SCORE: 1  _id:  “573a1390f29313caabcd5293”
  plot: "Young Pauline is left a lot of money when her wealthy uncle dies. Howe…"
  genres: Array
  runtime: 199
  ...
  title: "The Perils of Pauline"
SCORE: 1  _id:  “573a1390f29313caabcd5967”
  plot: "An intrepid reporter and his loyal friend battle a bizarre secret soci…"
  genres: Array
  runtime: 399
  ...
  title: "Les vampires"
SCORE: 1  _id:  “573a1391f29313caabcd6ea2”
  plot: "The simple-minded son of a rich financier must find his own way in the…"
  genres: Array
  runtime: 77
  ...
  title: "The Saphead"
SCORE: 1  _id:  “573a1391f29313caabcd70b4”
  plot: "An extended family split up in France and Germany find themselves on o…"
  genres: Array
  runtime: 150
  ...
  title: "The Four Horsemen of the Apocalypse"
SCORE: 1 _id:  “573a1391f29313caabcd7b98”
  plot: "A bitter clown endeavors to rescue the young woman he loves from the l…"
  genres: Array
  runtime: 95
  ...
  title: "He Who Gets Slapped"
SCORE: 1  _id:  “573a1391f29313caabcd806b”
  plot: "A mad, disfigured composer seeks love with a lovely young opera singer…"
  genres: Array
  runtime: 93
  ...
  title: "The Phantom of the Opera"
SCORE: 1  _id:  “573a1391f29313caabcd8cbd”
  plot: "A young lady from Georgia goes to Hollywood in the hopes of becoming a…"
  genres: Array
  runtime: 83
  ...
  title: "Show People"
SCORE: 1  _id:  “573a1391f29313caabcd9458”
  plot: "A young artist draws a face at a canvas on his easel. Suddenly the mou…"
  genres: Array
  rated: "UNRATED"
  ...
  title: "The Blood of a Poet"
SCORE: 1  _id:  “573a1391f29313caabcd9651”
  plot: "In London at the turn of the century, the bandit Mack the Knife marrie…"
  genres: Array
  runtime: 112
  ...
  title: "The 3 Penny Opera"
SCORE: 1  _id:  “573a1392f29313caabcd9caa”
  plot: "Many passengers on the Shanghai Express are more concerned that the no…"
  genres: Array
  runtime: 82
  ...
  title: "Shanghai Express"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{ title: 'The Perils of Pauline' },
2{ title: 'The Blood of a Poet' },
3{ title: 'The Private Life of Henry VIII.' },
4{ title: 'The Private Life of Don Juan' },
5{ title: 'The Prisoner of Shark Island' },
6{ title: 'The Prince and the Pauper' },
7{ title: 'The Prisoner of Zenda' },
8{ title: 'Dance Program' },
9{ title: 'The Pied Piper' },
10{ title: 'Prelude to War' }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1{ title: 'The Perils of Pauline' },
2{ title: 'The Blood of a Poet' },
3{ title: 'The Private Life of Henry VIII.' },
4{ title: 'The Private Life of Don Juan' },
5{ title: 'The Prisoner of Shark Island' },
6{ title: 'The Prince and the Pauper' },
7{ title: 'The Prisoner of Zenda' },
8{ title: 'Dance Program' },
9{ title: 'The Pied Piper' },
10{ title: 'Prelude to War' }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1{ "title" : "The Perils of Pauline" }
2{ "title" : "The Blood of a Poet" }
3{ "title" : "The Private Life of Henry VIII." }
4{ "title" : "The Private Life of Don Juan" }
5{ "title" : "The Prisoner of Shark Island" }
6{ "title" : "The Prince and the Pauper" }
7{ "title" : "The Prisoner of Zenda" }
8{ "title" : "Dance Program" }
9{ "title" : "The Pied Piper" }
10{ "title" : "Prelude to War" }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{ "title" : "Where Are My Children?" }
2{ "title" : "The Four Horsemen of the Apocalypse" }
3{ "title" : "The Hunchback of Notre Dame" }
4{ "title" : "Show People" }
5{ "title" : "Berkeley Square" }
6{ "title" : "Folies Bergère de Paris" }
7{ "title" : "Here Comes Mr. Jordan" }
8{ "title" : "Cat People" }
9{ "title" : "People on the Alps" }
10{ "title" : "The Gang's All Here" }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{ "title" : "The Perils of Pauline" }
2{ "title" : "Les vampires" }
3{ "title" : "The Saphead" }
4{ "title" : "The Four Horsemen of the Apocalypse" }
5{ "title" : "He Who Gets Slapped" }
6{ "title" : "The Phantom of the Opera" }
7{ "title" : "Show People" }
8{ "title" : "The Blood of a Poet" }
9{ "title" : "The 3 Penny Opera" }
10{ "title" : "Shanghai Express" }

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1[{title The Perils of Pauline}]
2[{title The Blood of a Poet}]
3[{title The Private Life of Henry VIII.}]
4[{title The Private Life of Don Juan}]
5[{title The Prisoner of Shark Island}]
6[{title The Prince and the Pauper}]
7[{title The Prisoner of Zenda}]
8[{title Dance Program}]
9[{title The Pied Piper}]
10[{title Prelude to War}]

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1[{title Where Are My Children?}]
2[{title The Four Horsemen of the Apocalypse}]
3[{title The Hunchback of Notre Dame}]
4[{title Show People}]
5[{title Berkeley Square}]
6[{title Folies Bergère de Paris}]
7[{title Here Comes Mr. Jordan}]
8[{title Cat People}]
9[{title People on the Alps}]
10[{title The Gang's All Here}]

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1[{title The Perils of Pauline}]
2[{title Les vampires}]
3[{title The Saphead}]
4[{title The Four Horsemen of the Apocalypse}]
5[{title He Who Gets Slapped}]
6[{title The Phantom of the Opera}]
7[{title Show People}]
8[{title The Blood of a Poet}]
9[{title The 3 Penny Opera}]
10[{title Shanghai Express}]

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1{"title": "The Perils of Pauline"}
2{"title": "The Blood of a Poet"}
3{"title": "The Private Life of Henry VIII."}
4{"title": "The Private Life of Don Juan"}
5{"title": "The Prisoner of Shark Island"}
6{"title": "The Prince and the Pauper"}
7{"title": "The Prisoner of Zenda"}
8{"title": "Dance Program"}
9{"title": "The Pied Piper"}
10{'title': 'Prelude to War'}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{"title": "Where Are My Children?"}
2{"title": "The Four Horsemen of the Apocalypse"}
3{"title": "The Hunchback of Notre Dame"}
4{"title": "Show People"}
5{"title": "Berkeley Square"}
6{"title": "Folies Bergère de Paris"}
7{"title": "Here Comes Mr. Jordan"}
8{"title": "Cat People"}
9{"title": "People on the Alps"}
10{"title": "The Gang's All Here"}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{"title": "The Perils of Pauline"}
2{"title": "Les vampires"}
3{"title": "The Saphead"}
4{"title": "The Four Horsemen of the Apocalypse"}
5{"title": "He Who Gets Slapped"}
6{"title": "The Phantom of the Opera"}
7{"title": "Show People"}
8{"title": "The Blood of a Poet"}
9{"title": "The 3 Penny Opera"}
10{"title": "Shanghai Express"}

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1Document{{title=The Perils of Pauline}}
2Document{{title=The Private Life of Henry VIII.}}
3Document{{title=Prelude to War}}
4Document{{title=Sitting Pretty}}
5Document{{title=The Prisoner}}
6Document{{title=Chi lavora è perduto (In capo al mondo)}}
7Document{{title=Profound Desires of the Gods}}
8Document{{title=The Protagonists}}
9Document{{title=Property Is No Longer a Theft}}
10Document{{title=Premiya}}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1Document{{title=The Four Horsemen of the Apocalypse}}
2Document{{title=Folies Bergère de Paris}}
3Document{{title=Mother Wore Tights}}
4Document{{title=El hombre sin rostro}}
5Document{{title=Il segno di Venere}}
6Document{{title=Creature from the Black Lagoon}}
7Document{{title=Susan Slept Here}}
8Document{{title=Tell Them Willie Boy Is Here}}
9Document{{title=Pilatus und andere - Ein Film fèr Karfreitag}}
10Document{{title=Watch Out, We're Mad}}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1Document{{title=The Four Horsemen of the Apocalypse}}
2Document{{title=The Private Life of Henry VIII.}}
3Document{{title=David Copperfield}}
4Document{{title=The Prisoner of Zenda}}
5Document{{title=People on the Alps}}
6Document{{title=Prelude to War}}
7Document{{title=The Pride of the Yankees}}
8Document{{title=Phantom of the Opera}}
9Document{{title=The Curse of the Cat People}}
10Document{{title=The People Against O'Hara}}

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1{ title: 'The Perils of Pauline' }
2{ title: 'The Blood of a Poet' }
3{ title: 'The Private Life of Henry VIII.' }
4{ title: 'The Private Life of Don Juan' }
5{ title: 'The Prisoner of Shark Island' }
6{ title: 'The Prince and the Pauper' }
7{ title: 'The Prisoner of Zenda' }
8{ title: 'Dance Program' }
9{ title: 'The Pied Piper' }
10{ title: 'Prelude to War' }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

1{'title': 'The Perils of Pauline'}
2{'title': 'The Blood of a Poet'}
3{'title': 'The Private Life of Henry VIII.'}
4{'title': 'The Private Life of Don Juan'}
5{'title': 'The Prisoner of Shark Island'}
6{'title': 'The Prince and the Pauper'}
7{'title': 'The Prisoner of Zenda'}
8{'title': 'Dance Program'}
9{'title': 'The Pied Piper'}
10{'title': 'Prelude to War'}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the left side of the word in all the titles.

1{'title': 'Where Are My Children?'}
2{'title': 'The Four Horsemen of the Apocalypse'}
3{'title': 'The Hunchback of Notre Dame'}
4{'title': 'Show People'}
5{'title': 'Berkeley Square'}
6{'title': 'Folies Bergère de Paris'}
7{'title': 'Here Comes Mr. Jordan'}
8{'title': 'Cat People'}
9{'title': 'People on the Alps'}
10{'title': "The Gang's All Here"}

These results show the words that are predicted for the query string with one character modification and with the first character constant at the right side of the word in all the titles.

1{'title': 'The Perils of Pauline'}
2{'title': 'Les vampires'}
3{'title': 'The Saphead'}
4{'title': 'The Four Horsemen of the Apocalypse'}
5{'title': 'He Who Gets Slapped'}
6{'title': 'The Phantom of the Opera'}
7{'title': 'Show People'}
8{'title': 'The Blood of a Poet'}
9{'title': 'The 3 Penny Opera'}
10{'title': 'Shanghai Express'}

These results show the words that are predicted for the query string with one character modification at different positions in the words in the titles.

Token Order Example

The following queries search for movies with the characters men with in the title field. The queries also use the tokenOrder field, which specifies whether the query searches for tokens in any order or in sequential order.

Starts With Example

You can search the title field for movie titles that start with a term or phrase by indexing the field using the keyword analyzer.

You must index the field using the keyword analyzer with the edgeGram tokenization strategy to retrieve results for the following sample query. If you index the field using any other built-in analyzers, Atlas Search doesn't return any results because it doesn't index your text field as a single term. The edgeGram tokenization strategy creates tokens starting at the left side of the words.

You must also set foldDiacritics to true to return case-agnostic results. If you set foldDiacritics to false, the letter case of the query term must exactly match the letter case in the document for Atlas Search to return any results.

{
  "mappings": {
    "dynamic": false,
    "fields": {
      "title": [
      {
        "type": "stringFacet"
      },
      {
         "type": "string"
      },
      {
        "foldDiacritics": true,
        "maxGrams": 7,
        "minGrams": 3,
        "analyzer": "lucene.keyword",
        "tokenization": "edgeGram",
        "type": "autocomplete"
      }]
    }
  }
}

The following query searches for movie titles that start with the term Fast &.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "Fast &",
        tokenOrder: "sequential"
      }
    }
  }
]

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
        "query": "Fast &",
        "path": "title",
        "tokenOrder": "sequential" 
      }
    }
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  },
  {
    $limit: 4
  }
])

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "query": "Fast &",
    "path": "title",
    "tokenOrder": "sequential"
  }
}

$limit

4

$project

{
  "_id": 0,
  "title": 1,
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderSequentialStartsWithExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "Fast &", SearchAutocompleteTokenOrder.Sequential))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id))
            .Limit(4)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.D{{"query", "Fast &"}, {"path", "title"}, {"tokenOrder", "sequential"}}}}}}
	limitStage := bson.D{{"$limit", 4}}
	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteStartsWith {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", new Document("query", "Fast &").append("path", "title").append("tokenOrder", "sequential")));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(4),
                project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search",
            Document(
                "autocomplete",
                Document("query", "Fast &")
                    .append("path", "title")
                    .append("tokenOrder", "sequential")
            )
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(4),
                project(fields(excludeId(), include("title")))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
    
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "Fast &", path: "title", tokenOrder: "sequential"}}},
            {$limit: 4},
            {$project: {_id: 0,title: 1}}
        ];
        // run pipeline
        const result = await coll.aggregate(agg);
        // print results
        await result.forEach((doc) => console.log(doc));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "sequential"}}},
    {"$limit": 4},
    {"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)
SCORE: 10.042893409729004  _id:  “573a13bdf29313caabd5929f”
  fullplot: "Heading back to the streets where it all began, two men rejoin two wom…"
  imdb: Object
  year: 2009
  ...
  title: "Fast & Furious"
SCORE: 9.515419006347656  _id:  “573a13d3f29313caabd95cc5”
  fullplot: "Since Dom (Diesel) and Brian's (Walker) Rio heist toppled a kingpin's …"
  imdb: Object
  year: 2013
  ...
  title "Fast & Furious 6"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{ title: 'Fast & Furious' },
2{ title: 'Fast & Furious 6' }
1{ title: 'Fast & Furious' },
2{ title: 'Fast & Furious 6' }
1{ "title" : "Fast & Furious" }
2{ "title" : "Fast & Furious 6" }
1 [{title Fast & Furious}]
2 [{title Fast & Furious 6}]
1{"title": "Fast & Furious"}
2{"title": "Fast & Furious 6"}
1Document{{title=Fast & Furious}}
2Document{{title=Fast & Furious 6}}
1{ title: 'Fast & Furious' }
2{ title: 'Fast & Furious 6' }
1{'title': 'Fast & Furious'}
2{'title': 'Fast & Furious 6'}

Simple any Example

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "men with",
        tokenOrder: "any"
      }
    }
  }
]

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
      "path": "title",
      "query": "men with",
        "tokenOrder": "any"
      }
    }
  },
  {
    $limit: 4
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  }
])

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "query": "men with",
    "path": "title",
    "tokenOrder": "any"
  }
}

$limit

4

$project

{
  "_id": 0,
  "title": 1,
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderAnyExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "men with", SearchAutocompleteTokenOrder.Any))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id))
            .Limit(4)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.D{{"query", "men with"}, {"path", "title"}, {"tokenOrder", "any"}}}}}}
	limitStage := bson.D{{"$limit", 4}}
	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteTokenAny {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "any")));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(4),
                project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search",
            Document("autocomplete", Document("query", "men with")
                .append("path", "title")
                .append("tokenOrder", "any"))
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(4),
                project(fields(excludeId(), include("title")))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "men with", path: "title", tokenOrder: "any"}}},
            {$limit: 4},
            {$project: {_id: 0,title: 1}}
        ];
        // run pipeline
        const result = await coll.aggregate(agg);
        // print results
        await result.forEach((doc) => console.log(doc));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "any"}}},
    {"$limit": 4},
    {"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 21.18158721923828  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 21.18158721923828  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 19.015962600708008  _id:  “573a1391f29313caabcd93a3”
  plot: "Navy divers clear the torpedo tube of a sunken submarine."
  genres: Array
  runtime: 77
  ...
  title: "Men Without Women"
SCORE: 11.215812683105469  _id:  “573a13b8f29313caabd4bcbf”
  plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
  genres: Array
  runtime: 80
  ...
  title: "Brief Interviews with Hideous Men"
SCORE: 10.668076515197754  _id:  “573a13c9f29313caabd7ba99”
  plot: "The women of a remote Latin American town are forced to pick up the pi…""
  genres: Array
  runtime: 87
  ...
  title: "Without Men"
SCORE: 10.106664657592773  _id:  “573a13c8f29313caabd77ab6”
  plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
  genres: Array
  runtime: 95
  ...
  title: "Women Without Men"
SCORE: 7.458737373352051  _id:  “573a1398f29313caabce9a19”
  plot: "A man's wife leaves him to take up with an artist, so the man responds…"
  genres: Array
  runtime: 99
  ...
  title: "Men..."
SCORE: 7.405402183532715  _id:  “573a13f2f29313caabdde0b4”
  plot: "Men and Chicken is a black comedy about two outcast brothers, who by g…"
  genres: Array
  runtime: 104
  ...
  title: "Men & Chicken"
SCORE: 7.2005205154418945  _id:  “573a1394f29313caabce06c3”
  plot: "During the Korean War, a battle worn Lt. and his platoon behind enemy …"
  genres: Array
  runtime: 102
  ...
  title: "Men in War"
SCORE: 7.2005205154418945  _id:  “573a1399f29313caabcec167”
  plot: "A mother of two sons finds life considerably difficult on her own afte…"
  genres: Array
  runtime: 115
  ...
  title: "Men Don't Leave"
SCORE: 19.302995681762695  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 19.302995681762695  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 13.835155487060547  _id:  “573a1399f29313caabcee64e”
  plot: "A thief's son cons his father into spending more time with him."
  genres: Array
  runtime: 109
  ...
  title: "Getting Even with Dad"
SCORE: 13.309324264526367  _id:  “573a13cdf29313caabd844f5”
  plot: "Since his beloved violin was broken, Nasser Ali Khan, one of the most …"
  genres: Array
  runtime: 93
  ...
  title: "Chicken with Plums"
SCORE: 12.078420639038086  _id:  “573a13b8f29313caabd4bcbf”
  plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
  genres: Array
  runtime: 80
  ...
  title: "Brief Interviews with Hideous Men"
SCORE: 10.180097579956055  _id:  “573a13b2f29313caabd3ab9b”
  fullplot: "A man runs into a woman at a wedding. They start to flirt and talk and…"
  imdb: Object
  year: 2005
  ...
  title: "Conversations with Other Women"
SCORE: 7.147367477416992  _id:  “573a1398f29313caabce9a19”
  plot: "A man's wife leaves him to take up with an artist, so the man responds…"
  genres: Array
  runtime: 99
  ...
  title: "Men..."
SCORE: 7.054648399353027  _id:  “573a1394f29313caabcde7cc”
  plot: "Paralized war vet tries to adjust to the world without the use of his …"
  genres: Array
  runtime: 85
  ...
  title: "The Men"
SCORE: 7.054648399353027  _id:  “573a1399f29313caabced53c”
  plot: "Bitter about being double-crossed by the women he loved, (and with the…"
  genres: Array
  runtime: 105
  ...
  title: "Simple Men"
SCORE: 7.054648399353027  _id:  “573a139af29313caabcf0f51”
  fullplot: "In a world where both Mutants and Humans fear each other, Marie, bette…"
  imdb: Object
  year: 2000
  ...
  title: "X-Men"
SCORE: 16.18875503540039 _id:  “573a1391f29313caabcd93a3”
  plot: "Navy divers clear the torpedo tube of a sunken submarine."
  genres: Array
  runtime: 77
  ...
  title: "Men Without Women"
SCORE: 15.995916366577148  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 15.995916366577148  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 15.642412185668945  _id:  “573a13c8f29313caabd77ab6”
  plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
  genres: Array
  runtime: 95
  ...
  title: "Women Without Men"
SCORE: 8.15120792388916  _id:  “573a13b8f29313caabd4bcbf”
  plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
  genres: Array
  runtime: 80
  ...
  title: "Brief Interviews with Hideous Men"
SCORE: 8.118724822998047  _id:  “573a13b2f29313caabd3ab9b”
  fullplot: "A man runs into a woman at a wedding. They start to flirt and talk and…"
  imdb: Object
  year: 2005
  ...
  title: "Conversations with Other Women"
SCORE: 8.048237800598145  _id:  “573a13a5f29313caabd138ca”
  plot: "This documentary, first shown on the Turner Classic Movies cable chann…"
  genres: Array
  runtime: 56
  ...
  title: "Without Lying Down: Frances Marion and the Power of Women in Hollywood"
SCORE: 7.620831489562988  _id:  “573a13c9f29313caabd7ba99”
  plot: "The women of a remote Latin American town are forced to pick up the pi…""
  genres: Array
  runtime: 87
  ...
  title: "Without Men"
SCORE: 4.35431432723999  _id:  “573a1393f29313caabcdcd9d”
  plot: "A young Canadian nurse (Betsy) comes to the West Indies to care for Je…"
  genres: Array
  runtime: 69
  ...
  title: "I Walked with a Zombie"
SCORE: 4.35431432723999  _id:  “573a1393f29313caabcdd9c7”
  plot: "Political intrigue and psychological drama run parallel. The queen is …"
  genres: Array
  runtime: 93
  ...
  title: "The Eagle with Two Heads"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Men Without Women" }
4{ "title" : "Brief Interviews with Hideous Men" }
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{ "title" : "Men Without Women" }
2{ "title" : "Men with Guns" }
3{ "title" : "Men with Brooms" }
4{ "title" : "Women Without Men" }
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Men Without Women}]
4[{title Brief Interviews with Hideous Men}]
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Getting Even with Dad}]
4[{title Chicken with Plums}]
1[{title Men Without Women}]
2[{title Men with Guns}]
3[{title Men with Brooms}]
4[{title Women Without Men}]
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
4{"title": "Brief Interviews with Hideous Men"}
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Getting Even with Dad"}
4{"title": "Chicken with Plums"}
1{"title": "Men Without Women"}
2{"title": "Men with Guns"}
3{"title": "Men with Brooms"}
4{"title": "Women Without Men"}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Men Without Women}}
4Document{{title=Brief Interviews with Hideous Men}}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Getting Even with Dad}}
4Document{{title=Chicken with Plums}}
1Document{{title=Men with Guns}}
2Document{{title=Men with Brooms}}
3Document{{title=Men Without Women}}
4Document{{title=Women Without Men}}
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Men Without Women'}
4{'title': 'Brief Interviews with Hideous Men'}
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Getting Even with Dad'}
4{'title': 'Chicken with Plums'}
1{'title': 'Men Without Women'}
2{'title': 'Men with Brooms'}
3{'title': 'Women Without Men'}
4{'title': 'Men with Guns'}

Simple sequential Example

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "men with",
        tokenOrder: "sequential"
      }
    }
  }
]

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
        "path": "title",
        "query": "men with",
        "tokenOrder": "sequential"
      }
    }
  },
  {
    $limit: 4
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  }
])

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "query": "men with",
    "path": "title",
    "tokenOrder": "sequential"
  }
}

$limit

4

$project

{
  "_id": 0,
  "title": 1,
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderSequentialSimpleExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "men with", SearchAutocompleteTokenOrder.Sequential))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id))
            .Limit(4)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.D{{"query", "men with"}, {"path", "title"}, {"tokenOrder", "sequential"}}}}}}
	limitStage := bson.D{{"$limit", 4}}
	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteTokenSequential {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "sequential")));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(4),
                project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search",
            Document(
                "autocomplete",
                Document("query", "men with")
                    .append("path", "title")
                    .append("tokenOrder", "sequential")
            )
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(4),
                project(fields(excludeId(), include("title")))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "men with", path: "title", tokenOrder: "sequential"}}},
            {$limit: 4},
            {$project: {_id: 0,title: 1}}
        ];
        // run pipeline
        const result = await coll.aggregate(agg);
        // print results
        await result.forEach((doc) => console.log(doc));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

Each query includes a:

  • $limit stage to limit the output to 4 results.

  • $project stage to exclude all fields except title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "sequential"}}},
    {"$limit": 4},
    {"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 12.644559860229492  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 12.644559860229492  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 7.997925281524658  _id:  “573a1391f29313caabcd93a3”
  plot: "Navy divers clear the torpedo tube of a sunken submarine."
  genres: Array
  runtime: 77
  ...
  title: "Men Without Women"
SCORE: 11.758549690246582  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 11.758549690246582  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 7.70704460144043  _id:  “573a1399f29313caabcee64e”
  plot: "A thief's son cons his father into spending more time with him."
  genres: Array
  runtime: 109
  ...
  title: "Getting Even with Dad"
SCORE: 7.111915588378906  _id:  “573a13cdf29313caabd844f5”
  plot: "Since his beloved violin was broken, Nasser Ali Khan, one of the most …"
  genres: Array
  runtime: 93
  ...
  title: "Chicken with Plums"
SCORE: 7.928277015686035  _id:  “573a1391f29313caabcd93a3”
  plot: "Navy divers clear the torpedo tube of a sunken submarine."
  genres: Array
  runtime: 77
  ...
  title: "Men Without Women"
SCORE: 7.928277015686035  _id:  “573a139af29313caabcf0b12”
  plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
  genres: Array
  runtime: 127
  ...
  title: "Men with Guns"
SCORE: 7.928277015686035  _id:  “573a13a4f29313caabd1287f”
  plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
  genres: Array
  runtime: 102
  ...
  title: "Men with Brooms"
SCORE: 7.381933212280273  _id:  “573a13c8f29313caabd77ab6”
  plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
  genres: Array
  runtime: 95
  ...
  title: "Women Without Men"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{ title: 'Men with Guns' },
2{ title: 'Men with Brooms' },
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' },
2{ title: 'Men with Guns' },
3{ title: 'Men with Brooms' },
4{ title: 'Women Without Men' }
1{ title: 'Men with Guns' },
2{ title: 'Men with Brooms' },
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' },
2{ title: 'Men with Guns' },
3{ title: 'Men with Brooms' },
4{ title: 'Women Without Men' }
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{ "title" : "Men Without Women" }
2{ "title" : "Men with Guns" }
3{ "title" : "Men with Brooms" }
4{ "title" : "Women Without Men" }
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Men Without Women}]
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Getting Even with Dad}]
4[{title Chicken with Plums}]
1[{title Men Without Women}]
2[{title Men with Guns}]
3[{title Men with Brooms}]
4[{title Women Without Men}]
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{"title": "Men Without Women"}
2{"title": "Men with Guns"}
3{"title": "Men with Brooms"}
4{"title": "Women Without Men"}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Men Without Women}}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Getting Even with Dad}}
4Document{{title=Chicken with Plums}}
1Document{{title=Men with Guns}}
2Document{{title=Men with Brooms}}
3Document{{title=Men Without Women}}
4Document{{title=Women Without Men}}
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Men Without Women'}
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Getting Even with Dad'}
4{'title': 'Chicken with Plums'}
1{'title': 'Men Without Women'}
2{'title': 'Men with Guns'}
3{'title': 'Men with Brooms'}
4{'title': 'Women Without Men'}

Highlighting Example

The following query searches for the characters ger in the title field of the movies collection, with the highlight option enabled for the title field.

Important

To highlight the autocomplete indexed version of a path, the autocomplete operator must be the only operator that uses that path in the query.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      autocomplete: {
        path: "title",
        query: "ger"
      },
      highlight: {
        path: "title"
      }
    }
  }
]

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

db.movies.aggregate([
  {
    $search: {
      "autocomplete": {
        "path": "title",
        "query": ["ger"]
      },
      "highlight": { 
        "path": "title"
      }
    }
  },
  {
    $limit: 5
  }, 
  { 
    $project: {
        
      "score": { $meta: "searchScore" },
      "title": 1,
      "_id": 0,
      "highlights": { "$meta": "searchHighlights" }
    }
  }
])

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "autocomplete": {
    "path": "title",
    "query": ["ger"]
  },
  "highlight": {
    "path": "title"
  }
}

$limit

5

$project

{
  "score": { $meta: "searchScore" },
  "title": 1,
  "_id": 0,
  "highlights": { "$meta": "searchHighlights" }
}

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteHighlightExample
{
    private const string MongoConnectionString = "<connection-string>";
    public static void Main(string[] args)
    {
        // allow automapping of the camelCase database fields to our MovieDocument
        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
        // connect to your Atlas cluster
        var mongoClient = new MongoClient(MongoConnectionString);
        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
        // define and run pipeline
        var results = moviesCollection.Aggregate()
            .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "ger"), new SearchHighlightOptions<MovieDocument>(movie => movie.Title))
            .Project<MovieDocument>(Builders<MovieDocument>.Projection
                .Include(movie => movie.Title)
                .Exclude(movie => movie.Id)
                .MetaSearchScore(movie => movie.Score)
                .MetaSearchHighlights("highlights"))
            .Limit(5)
            .ToList();
        // print results
        foreach (var movie in results)
        {
            Console.WriteLine(movie.ToJson());
        }
    }
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string Title { get; set; }
    [BsonElement("highlights")]
    public List<SearchHighlight> Highlights { get; set; }
    public double Score { get; set; }
}

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

package main
import (
	"context"
	"fmt"
	"go.mongodb.org/mongo-driver/bson"
	"go.mongodb.org/mongo-driver/mongo"
	"go.mongodb.org/mongo-driver/mongo/options"
)
func main() {
	// connect to your Atlas cluster
	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
	if err != nil {
		panic(err)
	}
	defer client.Disconnect(context.TODO())
	// set namespace
	collection := client.Database("sample_mflix").Collection("movies")
	// define pipeline stages
	searchStage := bson.D{{"$search", bson.D{{"autocomplete", bson.M{"query": "ger","path": "title"}}, {"highlight",  bson.D{{"path", "title"}}}}}}
	limitStage := bson.D{{"$limit", 5}}
	projectStage := bson.D{{"$project",  bson.D{{"score", bson.D{{"$meta", "searchScore"}}}, {"title", 1}, {"_id", 0}, {"highlight",  bson.D{{"$meta", "searchHighlights"}}}}}}
	// run pipeline
	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
	if err != nil {
		panic(err)
	}
	// print results
	var results []bson.D
	if err = cursor.All(context.TODO(), &results); err != nil {
		panic(err)
	}
	for _, result := range results {
		fmt.Println(result)
	}
}

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteHighlight {
    public static void main(String[] args) {
        // connect to your Atlas cluster
        String uri = "<connection-string>";
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            // set namespace
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("movies");
            
            // define pipeline
            Document agg = new Document("$search", new Document("autocomplete", new Document("path", "title").append("query", Arrays.asList("ger")))
                    .append("highlight", new Document("path", "title")));
            // run pipeline and print results
            collection.aggregate(Arrays.asList(agg,
                limit(5),
                project(Document.parse("{score: {$meta: 'searchScore'}, _id: 0, title: 1, highlights: {$meta: 'searchHighlights'}}"))))
                .forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
    val uri = "<connection-string>"
    val mongoClient = MongoClient.create(uri)
    val database = mongoClient.getDatabase("sample_mflix")
    val collection = database.getCollection<Document>("movies")
    runBlocking {
        val agg = Document(
            "\$search", Document("autocomplete", Document("path", "title")
                .append("query", listOf("ger"))
            ).append("highlight", Document("path", "title"))
        )
        val resultsFlow = collection.aggregate<Document>(
            listOf(
                agg,
                limit(5),
                project(fields(
                    excludeId(),
                    include("title"),
                    computed("score", Document("\$meta", "searchScore")),
                    computed("highlights", Document("\$meta", "searchHighlights"))
                ))
            )
        )
        resultsFlow.collect { println(it) }
    }
    mongoClient.close()
}

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
    "<connection-string>";
    
const client = new MongoClient(uri);
async function run() {
    try {
        await client.connect();
        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");
        // define pipeline
        const agg = [
            {$search: {autocomplete: {query: "ger", path: "title"}, highlight:{path: "title"}}},
            {$limit: 5},
            {$project: {score: {$meta: "searchScore"}, _id: 0,title: 1, highlights: {$meta: "searchHighlights"}}}
        ];
        // run pipeline
        const result = coll.aggregate(agg);
        // print results
        result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

The query includes a:

  • $limit stage to limit the output to 5 results.

  • $project stage to:

    • return the document's score.

    • exclude all fields except title.

    • add a new field called highlights, which contains highlighting information.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
    {"$search":{"autocomplete": {"query": "ger", "path": "title"}, "highlight": {"path": "title"}}},
    {"$limit": 5},
    {"$project": {"score": {"$meta": "searchScore"},"_id": 0, "title": 1, "highlights": {"$meta": "searchHighlights"}}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 6.0822906494140625  _id:  “573a1390f29313caabcd50e5”
  Gertie the Dinosaur
  Matching fields: title
SCORE: 6.0822906494140625  _id:  “573a1393f29313caabcddae1”
  Germany Year Zero
  Matching fields: title
SCORE: 6.0822906494140625  _id:  “573a1397f29313caabce6b75”
  Germany in Autumn
  Matching fields: title
SCORE: 6.0822906494140625  _id:  “573a1397f29313caabce77b5”
  Germany Pale Mother
  Matching fields: title
SCORE: 6.0822906494140625  _id:  “573a13d4f29313caabd99fa2”
  Gerhard Richter - Painting
  Matching fields: title
SCORE: 6.018838405609131  _id:  “573a1399f29313caabcedb50”
  Geronimo: An American Legend
  Matching fields: title
SCORE: 5.825854301452637  _id:  “573a139bf29313caabcf36bd”
  Geri's Game
  Matching fields: title
SCORE: 5.777737617492676  _id:  “573a13a5f29313caabd15dae”
  How to Live in the German Federal Republic
  Matching fields: title
SCORE: 5.738928318023682  _id:  “573a13b4f29313caabd41bb7”
  The Gerson Miracle
  Matching fields: title
SCORE: 5.738928318023682  _id:  “573a13d2f29313caabd922de”
  The German Doctor
  Matching fields: title
SCORE: 4.7550506591796875  _id:  “573a139df29313caabcf9ed2”
  South Park: Bigger Longer & Uncut
  Matching fields: title
SCORE: 4.568849563598633  _id:  “573a13a7f29313caabd1addf”
  Roger Dodger
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a1391f29313caabcd8783”
  The Jazz Singer
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a1396f29313caabce3974”
  Love and Anger
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a1396f29313caabce5212”
  Save the Tiger
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a1397f29313caabce78da”
  The Jazz Singer
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a1398f29313caabce9be6”
  The Toxic Avenger
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a139af29313caabcf0f59”
  The Wedding Singer
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a139af29313caabcf1389”
  The Crazy Stranger
  Matching fields: title
SCORE: 4.520683288574219  _id:  “573a13abf29313caabd24b5a”
  Save the Tiger
  Matching fields: title
SCORE: 4.371164321899414  _id:  “573a139df29313caabcf9ed2”
  South Park: Bigger Longer & Uncut
  Matching fields: title
SCORE: 4.3067307472229  _id:  “573a13bff29313caabd60a4a”
  Bigger Stronger Faster*
  Matching fields: title
SCORE: 4.26673698425293  _id:  “573a1398f29313caabcebb00”
  The Toxic Avenger Part II
  Matching fields: title
SCORE: 4.26673698425293  _id:  “573a1399f29313caabcee12e”
  When a Stranger Calls Back
  Matching fields: title
SCORE: 4.26673698425293  _id:  “573a13cff29313caabd89c2b”
  Carol Channing: Larger Than Life
  Matching fields: title
SCORE: 4.2623162269592285  _id:  “573a1396f29313caabce51c6”
  Property Is No Longer a Theft
  Matching fields: title
SCORE: 4.2623162269592285  _id:  “573a139af29313caabcef539”
  Mighty Morphin Power Rangers: The Movie
  Matching fields: title
SCORE: 4.2623162269592285  _id:  “573a13b1f29313caabd364e3”
  Josee, the Tiger and the Fish
  Matching fields: title
SCORE: 4.253501892089844  _id:  “573a13a5f29313caabd15dae”
  How to Live in the German Federal Republic
  Matching fields: title
SCORE: 4.24910831451416  _id:  “573a13a3f29313caabd0f07f”
  Into the Arms of Strangers: Stories of the Kindertransport
  Matching fields: title

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{
2  title: 'Gertie the Dinosaur',
3  score: 6.085907459259033,
4  highlights: [{
5    score: 0.9227690100669861,
6    path: 'title',
7    texts: [ { value: 'Gertie the Dinosaur', type: 'hit' } ]
8  }]
9},
10{
11  title: 'Germany Year Zero',
12  score: 6.085907459259033,
13  highlights: [{
14    score: 0.9180012345314026,
15    path: 'title',
16    texts: [ { value: 'Germany Year Zero', type: 'hit' } ]
17   }]
18},
19{
20  title: 'Germany in Autumn',
21  score: 6.085907459259033,
22  highlights: [{
23    score: 0.9180012345314026,
24    path: 'title',
25    texts: [ { value: 'Germany in Autumn', type: 'hit' } ]
26  }]
27},
28{
29  title: 'Germany Pale Mother',
30  score: 6.085907459259033,
31  highlights: [{
32    score: 0.9227690100669861,
33    path: 'title',
34    texts: [ { value: 'Germany Pale Mother', type: 'hit' } ]
35  }]
36},
37{
38  title: 'Gerhard Richter - Painting',
39  score: 6.085907459259033,
40  highlights: [{
41    score: 0.9386774897575378,
42    path: 'title',
43    texts: [ { value: 'Gerhard Richter - Painting', type: 'hit' } ]
44  }]
45}

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  title: 'South Park: Bigger Longer & Uncut',
3  score: 4.807340621948242,
4  highlights: [{
5    score: 0.6177878975868225,
6    path: 'title',
7    texts: [
8      { value: 'South Park: Bigger Longer', type: 'hit' },
9      { value: ' & Uncut', type: 'text' } ]
10  }]
11},
12{
13  title: 'Roger Dodger',
14  score: 4.6073713302612305,
15  highlights: [{
16    score: 0.905626654624939,
17    path: 'title',
18    texts: [ { value: 'Roger Dodger', type: 'hit' } ]
19  }]
20},
21{
22  title: 'The Jazz Singer',
23  score: 4.577486038208008,
24  highlights: [{
25    score: 0.9131305813789368,
26    path: 'title',
27    texts: [ { value: 'The Jazz Singer', type: 'hit' } ]
28  }]
29},
30{
31  title: 'Love and Anger',
32  score: 4.577486038208008,
33  highlights: [{
34    score: 0.9106559753417969,
35    path: 'title',
36    texts: [ { value: 'Love and Anger', type: 'hit' } ]
37  }]
38},
39{
40  title: 'Save the Tiger',
41  score: 4.577486038208008,
42  highlights: [{
43    score: 0.9106559753417969,
44    path: 'title',
45    texts: [ { value: 'Save the Tiger', type: 'hit' } ]
46  }]
47}

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  title: 'South Park: Bigger Longer & Uncut',
3  score: 4.365298748016357,
4  highlights: [{
5    score: 0.38510727882385254,
6    path: 'title',
7    texts: [ { value: 'South Park: Bigger Longer & Uncut', type: 'hit' } ]
8  }]
9},
10{
11  title: 'Bigger Stronger Faster*',
12  score: 4.300583839416504,
13  highlights: [{
14    score: 0.5282801985740662,
15    path: 'title',
16    texts: [
17      { value: 'Bigger Stronger Faster', type: 'hit' },
18      { value: '*', type: 'text' }
19    ]
20   }]
21},
22{
23  title: 'The Toxic Avenger Part II',
24  score: 4.2650651931762695,
25  highlights: [{
26    score: 0.5984020829200745,
27    path: 'title',
28    texts: [ { value: 'The Toxic Avenger Part II', type: 'hit' } ]
29  }]
30},
31{
32  title: 'When a Stranger Calls Back',
33  score: 4.2650651931762695,
34  highlights: [{
35    score: 0.6008684039115906,
36    path: 'title',
37    texts: [ { value: 'When a Stranger Calls Back', type: 'hit' } ]
38  }]
39},
40{
41  title: 'Carol Channing: Larger Than Life',
42  score: 4.2650651931762695,
43  highlights: [{
44    score: 0.6154072880744934,
45    path: 'title',
46    texts: [ { value: 'Carol Channing: Larger Than Life', type: 'hit' } ]
47  }]
48}

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  title: 'Gertie the Dinosaur',
3  score: 6.085907459259033,
4  highlights: [{
5    score: 0.9227690100669861,
6    path: 'title',
7    texts: [ { value: 'Gertie the Dinosaur', type: 'hit' } ]
8  }]
9},
10{
11  title: 'Germany Year Zero',
12  score: 6.085907459259033,
13  highlights: [{
14    score: 0.9180012345314026,
15    path: 'title',
16    texts: [ { value: 'Germany Year Zero', type: 'hit' } ]
17   }]
18},
19{
20  title: 'Germany in Autumn',
21  score: 6.085907459259033,
22  highlights: [{
23    score: 0.9180012345314026,
24    path: 'title',
25    texts: [ { value: 'Germany in Autumn', type: 'hit' } ]
26  }]
27},
28{
29  title: 'Germany Pale Mother',
30  score: 6.085907459259033,
31  highlights: [{
32    score: 0.9227690100669861,
33    path: 'title',
34    texts: [ { value: 'Germany Pale Mother', type: 'hit' } ]
35  }]
36},
37{
38  title: 'Gerhard Richter - Painting',
39  score: 6.085907459259033,
40  highlights: [{
41    score: 0.9386774897575378,
42    path: 'title',
43    texts: [ { value: 'Gerhard Richter - Painting', type: 'hit' } ]
44  }]
45}

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  title: 'South Park: Bigger Longer & Uncut',
3  score: 4.807340621948242,
4  highlights: [{
5    score: 0.6177878975868225,
6    path: 'title',
7    texts: [
8      { value: 'South Park: Bigger Longer', type: 'hit' },
9      { value: ' & Uncut', type: 'text' } ]
10  }]
11},
12{
13  title: 'Roger Dodger',
14  score: 4.6073713302612305,
15  highlights: [{
16    score: 0.905626654624939,
17    path: 'title',
18    texts: [ { value: 'Roger Dodger', type: 'hit' } ]
19  }]
20},
21{
22  title: 'The Jazz Singer',
23  score: 4.577486038208008,
24  highlights: [{
25    score: 0.9131305813789368,
26    path: 'title',
27    texts: [ { value: 'The Jazz Singer', type: 'hit' } ]
28  }]
29},
30{
31  title: 'Love and Anger',
32  score: 4.577486038208008,
33  highlights: [{
34    score: 0.9106559753417969,
35    path: 'title',
36    texts: [ { value: 'Love and Anger', type: 'hit' } ]
37  }]
38},
39{
40  title: 'Save the Tiger',
41  score: 4.577486038208008,
42  highlights: [{
43    score: 0.9106559753417969,
44    path: 'title',
45    texts: [ { value: 'Save the Tiger', type: 'hit' } ]
46  }]
47}

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  title: 'South Park: Bigger Longer & Uncut',
3  score: 4.365298748016357,
4  highlights: [{
5    score: 0.38510727882385254,
6    path: 'title',
7    texts: [ { value: 'South Park: Bigger Longer & Uncut', type: 'hit' } ]
8  }]
9},
10{
11  title: 'Bigger Stronger Faster*',
12  score: 4.300583839416504,
13  highlights: [{
14    score: 0.5282801985740662,
15    path: 'title',
16    texts: [
17      { value: 'Bigger Stronger Faster', type: 'hit' },
18      { value: '*', type: 'text' }
19    ]
20   }]
21},
22{
23  title: 'The Toxic Avenger Part II',
24  score: 4.2650651931762695,
25  highlights: [{
26    score: 0.5984020829200745,
27    path: 'title',
28    texts: [ { value: 'The Toxic Avenger Part II', type: 'hit' } ]
29  }]
30},
31{
32  title: 'When a Stranger Calls Back',
33  score: 4.2650651931762695,
34  highlights: [{
35    score: 0.6008684039115906,
36    path: 'title',
37    texts: [ { value: 'When a Stranger Calls Back', type: 'hit' } ]
38  }]
39},
40{
41  title: 'Carol Channing: Larger Than Life',
42  score: 4.2650651931762695,
43  highlights: [{
44    score: 0.6154072880744934,
45    path: 'title',
46    texts: [ { value: 'Carol Channing: Larger Than Life', type: 'hit' } ]
47  }]
48}

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{ "title" : "Gertie the Dinosaur", "highlights" : [{ "path" : "title", "score" : 0.92276901006698608, "texts" : [{ "type" : "Hit", "value" : "Gertie the Dinosaur" }] }], "score" : 6.0822906494140625 }
2{ "title" : "Germany Year Zero", "highlights" : [{ "path" : "title", "score" : 0.91800123453140259, "texts" : [{ "type" : "Hit", "value" : "Germany Year Zero" }] }], "score" : 6.0822906494140625 }
3{ "title" : "Germany in Autumn", "highlights" : [{ "path" : "title", "score" : 0.91800123453140259, "texts" : [{ "type" : "Hit", "value" : "Germany in Autumn" }] }], "score" : 6.0822906494140625 }
4{ "title" : "Germany Pale Mother", "highlights" : [{ "path" : "title", "score" : 0.92276901006698608, "texts" : [{ "type" : "Hit", "value" : "Germany Pale Mother" }] }], "score" : 6.0822906494140625 }
5{ "title" : "Gerhard Richter - Painting", "highlights" : [{ "path" : "title", "score" : 0.93867748975753784, "texts" : [{ "type" : "Hit", "value" : "Gerhard Richter - Painting" }] }], "score" : 6.0822906494140625 }

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{ "title" : "South Park: Bigger Longer & Uncut", "highlights" : [{ "path" : "title", "score" : 0.61778789758682251, "texts" : [{ "type" : "Hit", "value" : "South Park: Bigger Longer" }, { "type" : "Text", "value" : " & Uncut" }] }], "score" : 4.7550506591796875 }
2{ "title" : "Roger Dodger", "highlights" : [{ "path" : "title", "score" : 0.90562665462493896, "texts" : [{ "type" : "Hit", "value" : "Roger Dodger" }] }], "score" : 4.5688495635986328 }
3{ "title" : "The Jazz Singer", "highlights" : [{ "path" : "title", "score" : 0.91313058137893677, "texts" : [{ "type" : "Hit", "value" : "The Jazz Singer" }] }], "score" : 4.5206832885742188 }
4{ "title" : "Love and Anger", "highlights" : [{ "path" : "title", "score" : 0.91065597534179688, "texts" : [{ "type" : "Hit", "value" : "Love and Anger" }] }], "score" : 4.5206832885742188 }
5{ "title" : "Save the Tiger", "highlights" : [{ "path" : "title", "score" : 0.91065597534179688, "texts" : [{ "type" : "Hit", "value" : "Save the Tiger" }] }], "score" : 4.5206832885742188 }

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{ "title" : "South Park: Bigger Longer & Uncut", "highlights" : [{ "path" : "title", "score" : 0.38510727882385254, "texts" : [{ "type" : "Hit", "value" : "South Park: Bigger Longer & Uncut" }] }], "score" : 4.3711643218994141 }
2{ "title" : "Bigger Stronger Faster*", "highlights" : [{ "path" : "title", "score" : 0.52828019857406616, "texts" : [{ "type" : "Hit", "value" : "Bigger Stronger Faster" }, { "type" : "Text", "value" : "*" }] }], "score" : 4.3067307472229004 }
3{ "title" : "The Toxic Avenger Part II", "highlights" : [{ "path" : "title", "score" : 0.59840208292007446, "texts" : [{ "type" : "Hit", "value" : "The Toxic Avenger Part II" }] }], "score" : 4.2667369842529297 }
4{ "title" : "When a Stranger Calls Back", "highlights" : [{ "path" : "title", "score" : 0.60086840391159058, "texts" : [{ "type" : "Hit", "value" : "When a Stranger Calls Back" }] }], "score" : 4.2667369842529297 }
5{ "title" : "Carol Channing: Larger Than Life", "highlights" : [{ "path" : "title", "score" : 0.61540728807449341, "texts" : [{ "type" : "Hit", "value" : "Carol Channing: Larger Than Life" }] }], "score" : 4.2667369842529297 }

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1[
2   {title Gertie the Dinosaur}
3   {score 6.085907459259033}
4   {highlight [[
5      {score 0.9227690100669861}
6      {path title}
7      {texts [[{value Gertie the Dinosaur} {type hit}]]}]]}]
8[
9   {title Germany Year Zero}
10   {score 6.085907459259033}
11   {highlight [[
12      {score 0.9180012345314026}
13      {path title}
14      {texts [[{value Germany Year Zero} {type hit}]]}]]}]
15[
16   {title Germany in Autumn}
17   {score 6.085907459259033}
18   {highlight [[
19      {score 0.9180012345314026}
20      {path title}
21      {texts [[{value Germany in Autumn} {type hit}]]}]]}]
22[
23   {title Germany Pale Mother}
24   {score 6.085907459259033}
25   {highlight [[
26      {score 0.9227690100669861}
27      {path title}
28      {texts [[{value Germany Pale Mother} {type hit}]]}]]}]
29[
30   {title Gerhard Richter - Painting}
31   {score 6.085907459259033}
32   {highlight [[
33      {score 0.9386774897575378}
34      {path title}
35      {texts [[{value Gerhard Richter - Painting} {type hit}]]}]]}]

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1[
2   {title South Park: Bigger Longer & Uncut}
3   {score 4.807340621948242}
4   {highlight [[
5      {score 0.6177878975868225}
6      {path title}
7      {texts [[{value South Park: Bigger Longer} {type hit}] [{value  & Uncut} {type text}]]}]]}]
8[
9   {title Roger Dodger}
10   {score 4.6073713302612305}
11   {highlight [[
12      {score 0.905626654624939}
13      {path title}
14      {texts [[{value Roger Dodger} {type hit}]]}]]}]
15[
16   {title The Jazz Singer}
17   {score 4.577486038208008}
18   {highlight [[
19      {score 0.9131305813789368}
20      {path title}
21      {texts [[{value The Jazz Singer} {type hit}]]}]]}]
22[
23   {title Love and Anger}
24   {score 4.577486038208008}
25   {highlight [[
26      {score 0.9106559753417969}
27      {path title}
28      {texts [[{value Love and Anger} {type hit}]]}]]}]
29[
30   {title Save the Tiger}
31   {score 4.577486038208008}
32   {highlight [[
33      {score 0.9106559753417969}
34      {path title}
35      {texts [[{value Save the Tiger} {type hit}]]}]]}]

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1[
2   {title South Park: Bigger Longer & Uncut}
3   {score 4.365298748016357}
4   {highlight [[
5      {score 0.38510727882385254}
6      {path title}
7      {texts [[{value South Park: Bigger Longer & Uncut} {type hit}]]}]]}]
8[
9   {title Bigger Stronger Faster*} {
10   score 4.300583839416504}
11   {highlight [[
12      {score 0.5282801985740662}
13      {path title}
14      {texts [[{value Bigger Stronger Faster} {type hit}] [{value *} {type text}]]}]]}]
15[
16   {title The Toxic Avenger Part II}
17   {score 4.2650651931762695}
18   {highlight [[
19      {score 0.5984020829200745}
20      {path title}
21      {texts [[{value The Toxic Avenger Part II} {type hit}]]}]]}]
22[
23   {title When a Stranger Calls Back}
24   {score 4.2650651931762695}
25   {highlight [[
26      {score 0.6008684039115906}
27      {path title}
28      {texts [[{value When a Stranger Calls Back} {type hit}]]}]]}]
29[
30   {title Carol Channing: Larger Than Life}
31   {score 4.2650651931762695}
32   {highlight [[
33      {score 0.6154072880744934}
34      {path title}
35      {texts [[{value Carol Channing: Larger Than Life} {type hit}]]}]]}]

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  "title": "Gertie the Dinosaur",
3  "score": 6.085907459259033,
4  "highlights": [{
5    "score": 0.9227690100669861,
6    "path": "title",
7    "texts": [{"value": "Gertie the Dinosaur", "type": "hit"}]}]}
8{
9  "title": "Germany Year Zero",
10  "score": 6.085907459259033,
11  "highlights": [{
12    "score": 0.9180012345314026,
13    "path": "title",
14    "texts": [{"value": "Germany Year Zero", "type": "hit"}]}]}
15{
16  "title": "Germany in Autumn",
17  "score": 6.085907459259033,
18  "highlights": [{
19    "score": 0.9180012345314026,
20    "path": "title",
21    "texts": [{"value": "Germany in Autumn", "type": "hit"}]}]}
22{
23  "title": "Germany Pale Mother",
24  "score": 6.085907459259033,
25  "highlights": [{
26    "score": 0.9227690100669861,
27    "path": "title",
28    "texts": [{"value": "Germany Pale Mother", "type": "hit"}]}]}
29{
30  "title": "Gerhard Richter - Painting",
31  "score": 6.085907459259033,
32  "highlights": [{
33    "score": 0.9386774897575378,
34    "path": "title",
35    "texts": [{"value": "Gerhard Richter - Painting", "type": "hit"}]}]}

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  "title": "South Park: Bigger Longer & Uncut",
3  "score": 4.807340621948242,
4  "highlights": [{
5    "score": 0.6177878975868225,
6    "path": "title",
7    "texts": [{"value": "South Park: Bigger Longer", "type": "hit"}, {"value": " & Uncut", "type": "text"}]}]}
8{
9  "title": "Roger Dodger",
10  "score": 4.6073713302612305,
11  "highlights": [{
12    "score": 0.905626654624939,
13    "path": "title",
14    "texts": [{"value": "Roger Dodger", "type": "hit"}]}]}
15{
16  "title": "The Jazz Singer",
17  "score": 4.577486038208008,
18  "highlights": [{
19    "score": 0.9131305813789368,
20    "path": "title",
21    "texts": [{"value": "The Jazz Singer", "type": "hit"}]}]}
22{
23  "title": "Love and Anger",
24  "score": 4.577486038208008,
25  "highlights": [{
26    "score": 0.9106559753417969,
27    "path": "title",
28    "texts": [{"value": "Love and Anger", "type": "hit"}]}]}
29{
30  "title": "Save the Tiger",
31  "score": 4.577486038208008,
32  "highlights": [{
33    "score": 0.9106559753417969,
34    "path": "title",
35    "texts": [{"value": "Save the Tiger", "type": "hit"}]}]}

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  "title": "South Park: Bigger Longer & Uncut",
3  "score": 4.365298748016357,
4  "highlights": [{
5    "score": 0.38510727882385254,
6    "path": "title",
7    "texts": [{"value": "South Park: Bigger Longer & Uncut", "type": "hit"}]}]}
8{
9  "title": "Bigger Stronger Faster*",
10  "score": 4.300583839416504,
11  "highlights": [{
12    "score": 0.5282801985740662,
13    "path": "title",
14    "texts": [{"value": "Bigger Stronger Faster", "type": "hit"}, {"value": "*", "type": "text"}]}]}
15{
16  "title": "The Toxic Avenger Part II",
17  "score": 4.2650651931762695,
18  "highlights": [{
19    "score": 0.5984020829200745,
20    "path": "title",
21    "texts": [{"value": "The Toxic Avenger Part II", "type": "hit"}]}]}
22{
23  "title": "When a Stranger Calls Back",
24  "score": 4.2650651931762695,
25  "highlights": [{
26    "score": 0.6008684039115906,
27    "path": "title",
28    "texts": [{"value": "When a Stranger Calls Back", "type": "hit"}]}]}
29{
30  "title": "Carol Channing: Larger Than Life",
31  "score": 4.2650651931762695,
32  "highlights": [{
33    "score": 0.6154072880744934,
34    "path": "title",
35    "texts": [{"value": "Carol Channing: Larger Than Life", "type": "hit"}]}]}

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1Document{{title=Germany in Autumn, score=6.160550117492676, highlights=[Document{{score=0.9180012345314026, path=title, texts=[Document{{value=Germany in Autumn, type=hit}}]}}]}}
2Document{{title=Gertie the Dinosaur, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Gertie the Dinosaur, type=hit}}]}}]}}
3Document{{title=Germany Pale Mother, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Germany Pale Mother, type=hit}}]}}]}}
4Document{{title=Geronimo: An American Legend, score=6.096138954162598, highlights=[Document{{score=0.9430088996887207, path=title, texts=[Document{{value=Geronimo: An American, type=hit}}, Document{{value= Legend, type=text}}]}}]}}
5Document{{title=Geri's Game, score=5.900832176208496, highlights=[Document{{score=1.1180211305618286, path=title, texts=[Document{{value=Geri's Game, type=hit}}]}}]}}

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1Document{{title=South Park: Bigger Longer & Uncut, score=4.770905017852783, highlights=[Document{{score=0.6177878975868225, path=title, texts=[Document{{value=South Park: Bigger Longer, type=hit}}, Document{{value= & Uncut, type=text}}]}}]}}
2Document{{title=Roger Dodger, score=4.584150791168213, highlights=[Document{{score=0.905626654624939, path=title, texts=[Document{{value=Roger Dodger, type=hit}}]}}]}}
3Document{{title=The Crazy Stranger, score=4.535715103149414, highlights=[Document{{score=0.9203977584838867, path=title, texts=[Document{{value=The Crazy Stranger, type=hit}}]}}]}}
4Document{{title=The Ring Finger, score=4.535715103149414, highlights=[Document{{score=0.9131305813789368, path=title, texts=[Document{{value=The Ring Finger, type=hit}}]}}]}}
5Document{{title=Shoot the Messenger, score=4.535715103149414, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Shoot the Messenger, type=hit}}]}}]}}

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1Document{{title=South Park: Bigger Longer & Uncut, score=4.395573139190674, highlights=[Document{{score=0.38510727882385254, path=title, texts=[Document{{value=South Park: Bigger Longer & Uncut, type=hit}}]}}]}}
2Document{{title=Bigger Stronger Faster*, score=4.33078145980835, highlights=[Document{{score=0.5282801985740662, path=title, texts=[Document{{value=Bigger Stronger Faster, type=hit}}, Document{{value=*, type=text}}]}}]}}
3Document{{title=The Toxic Avenger Part II, score=4.2905426025390625, highlights=[Document{{score=0.5984020829200745, path=title, texts=[Document{{value=The Toxic Avenger Part II, type=hit}}]}}]}}
4Document{{title=Carol Channing: Larger Than Life, score=4.2905426025390625, highlights=[Document{{score=0.6154072880744934, path=title, texts=[Document{{value=Carol Channing: Larger Than Life, type=hit}}]}}]}}
5Document{{title=When a Stranger Calls Back, score=4.2905426025390625, highlights=[Document{{score=0.6008684039115906, path=title, texts=[Document{{value=When a Stranger Calls Back, type=hit}}]}}]}}

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1'{
2   "title":"Gertie the Dinosaur",
3   "score":6.0822906494140625,
4   "highlights":[{
5     "score":0.9227690100669861,
6     "path":"title",
7     "texts":[{"value":"Gertie the Dinosaur","type":"hit"}]}]}'
8'{
9   "title":"Germany Year Zero",
10   "score":6.0822906494140625,
11   "highlights":[{
12     "score":0.9180012345314026,
13     "path":"title",
14     "texts":[{"value":"Germany Year Zero","type":"hit"}]}]}'
15'{
16   "title":"Germany in Autumn",
17   "score":6.0822906494140625,
18   "highlights":[{
19     "score":0.9180012345314026,
20     "path":"title",
21     "texts":[{"value":"Germany in Autumn","type":"hit"}]}]}'
22'{
23   "title":"Germany Pale Mother",
24   "score":6.0822906494140625,
25   "highlights":[{
26     "score":0.9227690100669861,
27     "path":"title",
28     "texts":[{"value":"Germany Pale Mother","type":"hit"}]}]}'
29'{
30   "title":"Gerhard Richter - Painting",
31   "score":6.0822906494140625,
32   "highlights":[{
33     "score":0.9386774897575378,
34     "path":"title",
35     "texts":[{"value":"Gerhard Richter - Painting","type":"hit"}]}]}'

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1'{
2   "title":"South Park: Bigger Longer & Uncut",
3   "score":4.7550506591796875,
4   "highlights":[{
5     "score":0.6177878975868225,
6     "path":"title",
7     "texts":[{"value":"South Park: Bigger Longer","type":"hit"},{"value":" & Uncut","type":"text"}]}]}'
8'{
9   "title":"Roger Dodger",
10   "score":4.568849563598633,
11   "highlights":[{
12     "score":0.905626654624939,
13     "path":"title",
14     "texts":[{"value":"Roger Dodger","type":"hit"}]}]}'
15'{
16   "title":"The Jazz Singer",
17   "score":4.520683288574219,
18   "highlights":[{
19     "score":0.9131305813789368,
20     "path":"title",
21     "texts":[{"value":"The Jazz Singer","type":"hit"}]}]}'
22'{
23   "title":"Love and Anger",
24   "score":4.520683288574219,
25   "highlights":[{
26     "score":0.9106559753417969,
27     "path":"title",
28     "texts":[{"value":"Love and Anger","type":"hit"}]}]}'
29'{
30   "title":"Save the Tiger",
31   "score":4.520683288574219,
32   "highlights":[{
33     "score":0.9106559753417969,
34     "path":"title",
35     "texts":[{"value":"Save the Tiger","type":"hit"}]}]}'

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1'{
2   "title":"South Park: Bigger Longer & Uncut",
3   "score":4.371164321899414,
4   "highlights":[{
5     "score":0.38510727882385254,
6     "path":"title",
7     "texts":[{"value":"South Park: Bigger Longer & Uncut","type":"hit"}]}]}'
8'{
9   "title":"Bigger Stronger Faster*",
10   "score":4.3067307472229,
11   "highlights":[{
12     "score":0.5282801985740662,
13     "path":"title",
14     "texts":[{"value":"Bigger Stronger Faster","type":"hit"},{"value":"*","type":"text"}]}]}'
15'{
16   "title":"The Toxic Avenger Part II",
17   "score":4.26673698425293,
18   "highlights":[{
19     "score":0.5984020829200745,
20     "path":"title",
21     "texts":[{"value":"The Toxic Avenger Part II","type":"hit"}]}]}'
22'{
23   "title":"When a Stranger Calls Back",
24   "score":4.26673698425293,
25   "highlights":[{
26     "score":0.6008684039115906,
27     "path":"title",
28     "texts":[{"value":"When a Stranger Calls Back","type":"hit"}]}]}'
29'{
30   "title":"Carol Channing: Larger Than Life",
31   "score":4.26673698425293,
32   "highlights":[{
33     "score":0.6154072880744934,
34     "path":"title",
35     "texts":[{"value":"Carol Channing: Larger Than Life","type":"hit"}]}]}'

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  'highlights': [{
3    'path': 'title',
4    'score': 0.9227690100669861,
5    'texts': [{'type': 'hit', 'value': 'Gertie the Dinosaur'}]}],
6  'score': 6.085907459259033,
7  'title': 'Gertie the Dinosaur'}
8{
9  'highlights': [{
10    'path': 'title',
11    'score': 0.9180012345314026,
12    'texts': [{'type': 'hit', 'value': 'Germany Year Zero'}]}],
13  'score': 6.085907459259033,
14  'title': 'Germany Year Zero'}
15{
16  'highlights': [{
17    'path': 'title',
18    'score': 0.9180012345314026,
19    'texts': [{'type': 'hit', 'value': 'Germany in Autumn'}]}],
20  'score': 6.085907459259033,
21  'title': 'Germany in Autumn'}
22{
23  'highlights': [{
24    'path': 'title',
25    'score': 0.9227690100669861,
26    'texts': [{'type': 'hit', 'value': 'Germany Pale Mother'}]}],
27  'score': 6.085907459259033,
28  'title': 'Germany Pale Mother'}
29{
30  'highlights': [{
31    'path': 'title',
32    'score': 0.9386774897575378,
33    'texts': [{'type': 'hit', 'value': 'Gerhard Richter - Painting'}]}],
34  'score': 6.085907459259033,
35  'title': 'Gerhard Richter - Painting'}

Atlas Search returns these results because the characters ger appear at the left side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  'highlights': [{
3    'path': 'title',
4    'score': 0.6177878975868225,
5    'texts': [{'type': 'hit', 'value': 'South Park: Bigger Longer'}, {'type': 'text', 'value': ' & Uncut'}]}],
6  'score': 4.807340621948242,
7  'title': 'South Park: Bigger Longer & Uncut'}
8{
9  'highlights': [{
10    'path': 'title',
11    'score': 0.905626654624939,
12    'texts': [{'type': 'hit', 'value': 'Roger Dodger'}]}],
13  'score': 4.6073713302612305,
14  'title': 'Roger Dodger'}
15{
16  'highlights': [{
17    'path': 'title',
18    'score': 0.9131305813789368,
19    'texts': [{'type': 'hit', 'value': 'The Jazz Singer'}]}],
20  'score': 4.577486038208008,
21  'title': 'The Jazz Singer'}
22{
23  'highlights': [{
24    'path': 'title',
25    'score': 0.9106559753417969,
26    'texts': [{'type': 'hit', 'value': 'Love and Anger'}]}],
27  'score': 4.577486038208008,
28  'title': 'Love and Anger'}
29{
30  'highlights': [{
31    'path': 'title',
32    'score': 0.9106559753417969,
33    'texts': [{'type': 'hit', 'value': 'Save the Tiger'}]}],
34  'score': 4.577486038208008,
35  'title': 'Save the Tiger'}

Atlas Search returns these results because the characters ger appear at the right side of a word in all the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

1{
2  'highlights': [{
3    'path': 'title',
4    'score': 0.38510727882385254,
5    'texts': [{'type': 'hit', 'value': 'South Park: Bigger Longer & Uncut'}]}],
6  'score': 4.365298748016357,
7  'title': 'South Park: Bigger Longer & Uncut'}
8{
9  'highlights': [{
10    'path': 'title',
11    'score': 0.5282801985740662,
12    'texts':[{'type': 'hit', 'value': 'Bigger Stronger Faster'}, {'type': 'text', 'value': '*'}]}],
13  'score': 4.300583839416504,
14  'title': 'Bigger Stronger Faster*'}
15{
16  'highlights': [{
17    'path': 'title',
18    'score': 0.5984020829200745,
19    'texts': [{'type': 'hit', 'value': 'The Toxic Avenger Part II'}]}],
20  'score': 4.2650651931762695,
21  'title': 'The Toxic Avenger Part II'}
22{
23  'highlights': [{
24    'path': 'title',
25    'score': 0.6008684039115906,
26    'texts': [{'type': 'hit', 'value': 'When a Stranger Calls Back'}]}],
27  'score': 4.2650651931762695,
28  'title': 'When a Stranger Calls Back'}
29{
30  'highlights': [{
31    'path': 'title',
32    'score': 0.6154072880744934,
33    'texts': [{'type': 'hit', 'value': 'Carol Channing: Larger Than Life'}]}],
34  'score': 4.2650651931762695,
35  'title': 'Carol Channing: Larger Than Life'}

Atlas Search returns these results because the characters ger appear at different positions in the titles. Atlas Search matches a highlight hit more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.

Search Across Multiple Fields

The following query searches the title and plot fields of the movies collection for words that begin with the character string inter using the compound operator.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      compound: {
        should: [
          {
            autocomplete: {
              query: "inter",
              path: "title"
            }
          },
          {
            text: {
              query: "inter",
              path: "plot"
            }
          }
        ],
        minimumShouldMatch: 1
      }
    }
  }
]

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1db.movies.aggregate([
2  {
3    $search: {
4      "compound": {
5        "should": [
6          {
7            "autocomplete": {
8              "query": "inter",
9              "path": "title",
10            },
11          },
12          {
13            "text": {
14              "query": "inter",
15              "path": "plot",
16            }
17          }
18        ],
19        "minimumShouldMatch": 1
20      },
21    },
22  },
23  {
24    $limit: 10,
25  },
26  {
27    $project: 
28      {
29        "_id": 0,
30        "title": 1,
31        "plot": 1
32      },
33  },
34])

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

In the Aggregations tab of the movies collection, configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

Pipeline Stage
Query

$search

{
  "compound": {
    "should": [{
      "autocomplete": {
        "query": "inter",
        "path": "title"
      }
    },
    {
      "text": {
        "path": "inter",
        "query": "plot",
      }
    }],
    "minimumShouldMatch": 1
  }
}

$limit

10

$project

{
  "_id": 0,
  "title": 1,
  "plot": 1
}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1using MongoDB.Bson;
2using MongoDB.Bson.Serialization.Attributes;
3using MongoDB.Bson.Serialization.Conventions;
4using MongoDB.Driver;
5using MongoDB.Driver.Search;
6
7public class AutocompleteCompoundExample
8{
9    private const string MongoConnectionString = "<connection-string>";
10
11    public static void Main(string[] args)
12    {
13        // allow automapping of the camelCase database fields to our MovieDocument
14        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16
17        // connect to your Atlas cluster
18        var mongoClient = new MongoClient(MongoConnectionString);
19        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
20        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
21
22        // define and run pipeline
23        var results = moviesCollection.Aggregate()
24            .Search(Builders<MovieDocument>.Search.Compound()
25                .Should(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "inter"))
26                .Should(Builders<MovieDocument>.Search.Text(movie => movie.Plot, "inter")))
27            .Project<MovieDocument>(Builders<MovieDocument>.Projection
28                .Include(movie => movie.Plot)
29                .Include(movie => movie.Title)
30                .Exclude(movie => movie.Id))
31            .Limit(10)
32            .ToList();
33
34        // print results
35        foreach (var movie in results)
36        {
37            Console.WriteLine(movie.ToJson());
38        }
39    }
40}
41
42[BsonIgnoreExtraElements]
43public class MovieDocument
44{
45    [BsonIgnoreIfDefault]
46    public ObjectId Id { get; set; }
47    public string Plot { get; set; }
48    public string Title { get; set; }
49}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1package main
2
3import (
4	"context"
5	"fmt"
6
7	"go.mongodb.org/mongo-driver/bson"
8	"go.mongodb.org/mongo-driver/mongo"
9	"go.mongodb.org/mongo-driver/mongo/options"
10)
11
12func main() {
13	// connect to your Atlas cluster
14	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
15	if err != nil {
16		panic(err)
17	}
18	defer client.Disconnect(context.TODO())
19
20	// set namespace
21	collection := client.Database("sample_mflix").Collection("movies")
22
23	// define pipeline stages
24	searchStage := bson.D{
25		{"$search", bson.D{
26			{"compound", bson.D{
27				{"should", bson.A{
28					bson.D{
29						{"autocomplete", bson.D{{"query", "inter"}, {"path", "title"}}},
30					},
31					bson.D{
32						{"autocomplete", bson.D{{"query", "inter"}, {"path", "plot"}}},
33					},
34				}},
35				{"minimumShouldMatch", 1},
36			}},
37		}},
38	}
39	limitStage := bson.D{{"$limit", 10}}
40	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"plot", 1}, {"_id", 0}}}}
41	// run pipeline
42	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
43	if err != nil {
44		panic(err)
45	}
46
47	// print results
48	var results []bson.D
49	if err = cursor.All(context.TODO(), &results); err != nil {
50		panic(err)
51	}
52	for _, result := range results {
53		fmt.Println(result)
54	}
55}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1import static com.mongodb.client.model.Aggregates.limit;
2import static com.mongodb.client.model.Aggregates.project;
3import static com.mongodb.client.model.Projections.excludeId;
4import static com.mongodb.client.model.Projections.fields;
5import static com.mongodb.client.model.Projections.include;
6import com.mongodb.client.MongoClient;
7import com.mongodb.client.MongoClients;
8import com.mongodb.client.MongoCollection;
9import com.mongodb.client.MongoDatabase;
10import org.bson.Document;
11import java.util.Arrays;
12
13public class AutocompleteQuery {
14
15    public static void main(String[] args) {
16        // connect to your Atlas cluster
17        String uri = "<connection-string>";
18        
19        try (MongoClient mongoClient = MongoClients.create(uri)) {
20            // set namespace
21            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
22            MongoCollection<Document> collection = database.getCollection("movies");
23            
24            // define pipeline
25            Document agg = new Document(new Document("should", Arrays.asList(new Document("autocomplete", 
26                                new Document("path", "title")
27                                        .append("query", "inter")), 
28                                new Document("text", 
29                                new Document("path", "plot")
30                                        .append("query", "inter"))))
31                            .append("minimumShouldMatch", 1L));
32
33            // run pipeline and print results
34            collection.aggregate(Arrays.asList(
35							eq("$search", eq("compound", agg)),
36                			limit(10),
37                			project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
38        }
39    }
40}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1import com.mongodb.client.model.Aggregates.limit
2import com.mongodb.client.model.Aggregates.project
3import com.mongodb.client.model.Filters.eq
4import com.mongodb.client.model.Projections.*
5import com.mongodb.kotlin.client.coroutine.MongoClient
6import kotlinx.coroutines.runBlocking
7import org.bson.Document
8
9fun main() {
10    val uri = "<connection-string>"
11    val mongoClient = MongoClient.create(uri)
12    val database = mongoClient.getDatabase("sample_mflix")
13    val collection = database.getCollection<Document>("movies")
14
15    runBlocking {
16        val agg = Document(
17            Document(
18                "should", listOf(
19                    Document(
20                        "autocomplete",
21                        Document("path", "title")
22                            .append("query", "inter")
23                    ),
24                    Document(
25                        "text",
26                        Document("path", "plot")
27                            .append("query", "inter")
28                    )
29                )
30            ).append("minimumShouldMatch", 1L)
31        )
32
33        val resultsFlow = collection.aggregate<Document>(
34            listOf(
35                eq("\$search", eq("compound", agg)),
36                limit(10),
37                project(fields(excludeId(), include("title", "plot")))
38            )
39        )
40        resultsFlow.collect { println(it) }
41    }
42    mongoClient.close()
43}

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri =
5    "<connection-string>";
6
7const client = new MongoClient(uri);
8
9async function run() {
10    try {
11        await client.connect();
12
13        // set namespace
14        const database = client.db("sample_mflix");
15        const coll = database.collection("movies");
16
17        // define pipeline
18        const agg = [
19            {
20                '$search': {
21                    'compound': {
22                        'should': [
23                            {
24                                'autocomplete': {
25                                    'query': 'inter', 
26                                    'path': 'title'
27                                }
28                            }, 
29                            {
30                                'autocomplete': {
31                                    'query': 'inter', 
32                                    'path': 'plot'
33                                }
34                            }
35                        ], 
36                        'minimumShouldMatch': 1
37                    }
38                }
39            }, 
40            {
41                '$limit': 10
42            }, 
43            {
44                '$project': {
45                    '_id': 0, 
46                    'title': 1, 
47                    'plot': 1
48                }
49            }
50        ];
51        // run pipelines
52        const result = await coll.aggregate(agg);
53
54        // print results
55        await result.forEach((doc) => console.log(doc));
56    } finally {
57        await client.close();
58    }
59}
60run().catch(console.dir);

The query includes a:

  • $limit stage to limit the output to 10 results.

  • $project stage to exclude all fields except title and plot.

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient('<connection-string>')
5
6# define pipeline
7pipeline = [
8    {
9        '$search': {
10            'compound': {
11                'should': [
12                    {
13                        'autocomplete': {
14                            'query': 'inter', 
15                            'path': 'title'
16                        }
17                    }, {
18                        'autocomplete': {
19                            'query': 'inter', 
20                            'path': 'plot'
21                        }
22                    }
23                ], 
24                'minimumShouldMatch': 1
25            }
26        }
27    }, 
28    {
29        '$limit': 10
30    }, 
31    {
32        '$project': {
33            '_id': 0, 'title': 1, 'plot': 1
34        }
35    }
36]
37# run pipeline
38result = client["sample_mflix"]["movies"].aggregate(pipeline)
39
40# print results
41for i in result:
42    print(i)

Note

Your Results May Vary

Atlas Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.

SCORE: 5.796849727630615  _id:  “573a13dbf29313caabdaf9a0”
  fullplot: "In order to avoid an X rating, 40 minutes of gay S&M footage was rumor…"
  imdb: Object
  year: 2013
  ...
  title: "Interior. Leather Bar."
SCORE: 5.736375331878662 1  _id:  “573a13a8f29313caabd1d060”
  plot: "Almost forty years after the John F. Kennedy assassination, an ex-Mari…"
  genres: Array
  runtime: 88
  ...
  title: "Interview with the Assassin"
SCORE: 5.677149295806885  _id:  “573a13b8f29313caabd4bcbf”
  plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
  genres: Array
  runtime: 80
  ...
  title: "Brief Interviews with Hideous Men"
SCORE: 5.619133949279785  _id:  “573a139af29313caabcf0753”
  fullplot: "Austin Powers is a 60's spy who is cryonically frozen and released in …"
  imdb: Object
  year: 1997
  ...
  title: "Austin Powers: International Man of Mystery"
SCORE: 5.619133949279785  _id:  “573a139df29313caabcfb827”
  plot: "A confused young man (Marsden) takes a journey on a road that doesn't …"
  genres: Array
  runtime: 116
  ...
  title: "Interstate 60: Episodes of the Road"
SCORE: 5.562292575836182  __id:  “573a1399f29313caabcee754”
  fullplot: "It hasn't even been a year since a plantation owner named Louis lost h…"
  imdb: Object
  year: 1984
  ...
  title: "Interview with the Vampire: The Vampire Chronicles"
SCORE: 5.55244779586792  _id:  “573a1394f29313caabcdfd1e”
  plot: "The film chronicles Australian-born opera star Marjorie Lawrence's suc…"
  genres: Array
  runtime: 106
  ...
  title: "Interrupted Melody"
SCORE: 5.451991081237793  _id:  “573a13e9f29313caabdcbd58”
  plot: "The story of programming prodigy and information activist Aaron Swartz…"
  genres: Array
  runtime: 105
  ...
  title: "The Internet's Own Boy: The Story of Aaron Swartz"
SCORE: 5.389190673828125  _id:  “573a13bef29313caabd5d0ac”
  plot: "Locked up and isolated, constantly exposed and threatened to be killed…"
  genres: Array
  runtime: 89
  ...
  title: "Richness of Internal Space"
SCORE: 4.929009437561035  _id:  “573a1397f29313caabce6ca7”
  plot: "Three sisters find their lives spinning out of control in the wake of …"
  genres: Array
  runtime: 93
  ...
  title: "Interiors"
SCORE: 5.94391393661499  _id:  “573a13b1f29313caabd35dc7”
  plot: "After her son is hospitalized, a doctor cheats on her husband with a s…"
  genres: Array
  runtime: 84
  ...
  title: "Kissed by Winter"
SCORE: 5.94391393661499  _id:  “573a13b4f29313caabd3f3fe”
  plot: "The American oil company KIC Corporation is building an ice road to ex…"
  genres: Array
  runtime: 101
  ...
  title: "The Last Winter"
SCORE: 5.94391393661499  _id:  “573a13c0f29313caabd62f21”
  plot: "A couple engage in discussions with people on the street, politicians …"
  genres: Array
  runtime: 85
  ...
  title: "Suddenly, Last Winter"
SCORE: 5.94391393661499  _id:  “573a13d5f29313caabd9a45b”
  plot: "WINTER is a dangerous, sexy, poignant and at times darkly funny story …"
  genres: Array
  runtime: 132
  ...
  title: "After Fall, Winter"
SCORE: 5.881905555725098  _id:  “573a1396f29313caabce366e”
  plot: "1183 AD: King Henry II's three sons all want to inherit the throne, bu…"
  genres: Array
  runtime: 134
  ...
  title: "The Lion in Winter"
SCORE: 5.881905555725098  _id:  “573a1396f29313caabce5271”
  plot: "Rita, a middle aged New York City homemaker, finds herself in an emoti…"
  genres: Array
  runtime: 93
  ...
  title: "Summer Wishes, Winter Dreams"
SCORE: 5.881905555725098  _id:  “573a1399f29313caabcecfef”
  plot: "Felicie and Charles have a serious if whirlwind holiday romance. Due t…"
  genres: Array
  runtime: 114
  ...
  title: "A Tale of Winter"
SCORE: 5.881905555725098  _id:  “573a139af29313caabcf1762”
  plot: "A mysterious creature is killing a farmer's livestock."
  genres: Array
  runtime: 92
  ...
  title: "In the Winter Dark"
SCORE: 5.821177005767822  _id:  “573a13a0f29313caabd02f47”
  plot: "Sean is a little duck with a big problem. Due to a mishap with a jet a…"
  genres: Array
  runtime: 28
  ...
  title: "The First Snow of Winter"
SCORE: 5.821177005767822  _id:  “573a13b3f29313caabd3eb6f”
  plot: "A renowned artist must uncover a young dancer's secrets in order to tr…"
  genres: Array
  runtime: 129
  ...
  title: "A Year Ago in Winter"
SCORE: 5.540487289428711  _id:  “573a139af29313caabcf0753”
  fullplot: "Austin Powers is a 60's spy who is cryonically frozen and released in …"
  imdb: Object
  year: 1997
  ...
  title: "Austin Powers: International Man of Mystery"
SCORE: 5.540487289428711  _id:  “573a13aef29313caabd2ca07”
  plot: "On an isolated lake, an old monk lives on a small floating temple. The…"
  genres: Array
  runtime: 103
  ...
  title: "Spring, Summer, Fall, Winter... and Spring"
SCORE: 5.495308876037598  _id:  “573a1396f29313caabce5271”
  plot: "Rita, a middle aged New York City homemaker, finds herself in an emoti…"
  genres: Array
  runtime: 93
  ...
  title: "Summer Wishes, Winter Dreams"
SCORE: 5.495308876037598  _id:  “573a139af29313caabcf1762”
  plot: "A mysterious creature is killing a farmer's livestock."
  genres: Array
  runtime: 92
  ...
  title: "In the Winter Dark"
SCORE: 5.495308876037598  _id:  “573a13bef29313caabd5d0ac”
  plot: "Locked up and isolated, constantly exposed and threatened to be killed…"
  genres: Array
  runtime: 89
  ...
  title: "Richness of Internal Space"
SCORE: 5.4885406494140625  _id:  “573a13b8f29313caabd4bcbf”
  plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
  genres: Array
  runtime: 80
  ...
  title: "Brief Interviews with Hideous Men"
SCORE:  5.4885406494140625  _id:  “573a13d2f29313caabd91d33”
  fullplot: "For Steve Rogers, awakening after decades of suspended animation invol…"
  imdb Object
  year: 2014
  ...
  title: "Captain America: The Winter Soldier"
SCORE: 5.481788635253906  _id:  “573a139ff29313caabd01cc6”
  plot: "On a cold winter day a mysterious stranger shows up at the Witting Far…"
  genres: Array
  runtime: 95
  ...
  title: "Sarah, Plain and Tall: Winter's End"
SCORE: 5.46163272857666  _id:  “573a13e9f29313caabdcbd58”
  plot: "The story of programming prodigy and information activist Aaron Swartz…"
  genres: Array
  runtime: 105
  ...
  title: "The Internet's Own Boy: The Story of Aaron Swartz"
SCORE: 5.420651435852051  _id:  “573a1398f29313caabcebac5”
  plot: "Set during World War 2. After Nazi Germany invaded Poland in September…"
  genres: Array
  runtime: 195
  ...
  title: "The Winter War"

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1{
2  plot: 'Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.',
3  title: 'Interior. Leather Bar.'
4},
5{
6  plot: 'Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.',
7  title: 'Interview with the Assassin'
8},
9{
10  plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
11  title: 'Brief Interviews with Hideous Men'
12},
13{
14  plot: 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
15  title: 'Austin Powers\:\ International Man of Mystery'
16},
17{
18  plot: 'A confused young man (Marsden) takes a journey on a road that doesn\'t exist on any map.',
19  title: 'Interstate 60\:\ Episodes of the Road'
20},
21{
22  plot: 'A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.',
23  title: 'Interview with the Vampire\:\ The Vampire Chronicles'
24},
25{
26  plot: 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
27  title: 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
28},
29{
30  plot: 'The film chronicles Australian-born opera star Marjorie Lawrence\'s success, her battle with polio, and her eventual career comeback.',
31  title: 'Interrupted Melody'
32}
33{
34  plot: 'Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.',
35  title: 'Richness of Internal Space'
36}
37{
38  plot: 'Three sisters find their lives spinning out of control in the wake of their parents\' sudden, unexpected divorce.',
39  title: 'Interiors'
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2  plot: 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
3  title: 'Kissed by Winter'
4},
5{
6  plot: 'The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...',
7  title: 'The Last Winter'
8},
9{
10  plot: 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
11  title: 'Suddenly, Last Winter'
12},
13{
14  plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15  title: 'After Fall, Winter'
16},
17{
18  plot: 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
19  title: 'Summer Wishes, Winter Dreams'
20},
21{
22  plot: '1183 AD\:\ King Henry II\'s three sons all want to inherit the throne, but he won\'t commit to a choice. They and his wife variously plot to force him.',
23  title: 'The Lion in Winter'
24},
25{
26  plot: 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
27  title: 'A Tale of Winter'
28},
29{
30  plot: 'A mysterious creature is killing a farmer\'s livestock.',
31  title: 'In the Winter Dark'
32},
33{
34  plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
35  title: 'The First Snow of Winter'
36},
37{
38  plot: 'A renowned artist must uncover a young dancer\'s secrets in order to truly capture her likeness for a commissioned work.',
39  title: 'A Year Ago in Winter'
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2  plot: 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
3  title: 'Austin Powers\:\ International Man of Mystery'
4},
5{
6  plot: 'On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.',
7  title: 'Spring, Summer, Fall, Winter... and Spring'
8},
9{
10  plot: 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
11  title: 'Summer Wishes, Winter Dreams'
12},
13{
14  plot: 'A mysterious creature is killing a farmer\'s livestock.',
15  title: 'In the Winter Dark'
16},
17{
18  plot: 'Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.',
19  title: 'Richness of Internal Space'
20},
21{
22  plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
23  title: 'Brief Interviews with Hideous Men'
24},
25{
26  plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.',
27  title: 'Captain America\:\ The Winter Soldier'
28},
29{
30  plot: 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
31  title: 'Sarah, Plain and Tall\:\ Winter\'s End'
32},
33{
34  plot: 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
35  title: 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
36},
37{
38  plot: 'Out of work actor Joe volunteers to help try and save his sister\'s local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...',
39  title: 'A Midwinter\'s Tale'
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1{
2  plot: 'Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.',
3  title: 'Interior. Leather Bar.'
4},
5{
6  plot: 'Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.',
7  title: 'Interview with the Assassin'
8},
9{
10  plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
11  title: 'Brief Interviews with Hideous Men'
12},
13{
14  plot: 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
15  title: 'Austin Powers\:\ International Man of Mystery'
16},
17{
18  plot: 'A confused young man (Marsden) takes a journey on a road that doesn\'t exist on any map.',
19  title: 'Interstate 60\:\ Episodes of the Road'
20},
21{
22  plot: 'A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.',
23  title: 'Interview with the Vampire\:\ The Vampire Chronicles'
24},
25{
26  plot: 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
27  title: 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
28},
29{
30  plot: 'The film chronicles Australian-born opera star Marjorie Lawrence\'s success, her battle with polio, and her eventual career comeback.',
31  title: 'Interrupted Melody'
32}
33{
34  plot: 'Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.',
35  title: 'Richness of Internal Space'
36}
37{
38  plot: 'Three sisters find their lives spinning out of control in the wake of their parents\' sudden, unexpected divorce.',
39  title: 'Interiors'
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2  plot: 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
3  title: 'Kissed by Winter'
4},
5{
6  plot: 'The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...',
7  title: 'The Last Winter'
8},
9{
10  plot: 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
11  title: 'Suddenly, Last Winter'
12},
13{
14  plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15  title: 'After Fall, Winter'
16},
17{
18  plot: 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
19  title: 'Summer Wishes, Winter Dreams'
20},
21{
22  plot: '1183 AD\:\ King Henry II\'s three sons all want to inherit the throne, but he won\'t commit to a choice. They and his wife variously plot to force him.',
23  title: 'The Lion in Winter'
24},
25{
26  plot: 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
27  title: 'A Tale of Winter'
28},
29{
30  plot: 'A mysterious creature is killing a farmer\'s livestock.',
31  title: 'In the Winter Dark'
32},
33{
34  plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
35  title: 'The First Snow of Winter'
36},
37{
38  plot: 'A renowned artist must uncover a young dancer\'s secrets in order to truly capture her likeness for a commissioned work.',
39  title: 'A Year Ago in Winter'
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2  plot: 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
3  title: 'Austin Powers\:\ International Man of Mystery'
4},
5{
6  plot: 'On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.',
7  title: 'Spring, Summer, Fall, Winter... and Spring'
8},
9{
10  plot: 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
11  title: 'Summer Wishes, Winter Dreams'
12},
13{
14  plot: 'A mysterious creature is killing a farmer\'s livestock.',
15  title: 'In the Winter Dark'
16},
17{
18  plot: 'Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.',
19  title: 'Richness of Internal Space'
20},
21{
22  plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
23  title: 'Brief Interviews with Hideous Men'
24},
25{
26  plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.',
27  title: 'Captain America\:\ The Winter Soldier'
28},
29{
30  plot: 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
31  title: 'Sarah, Plain and Tall\:\ Winter\'s End'
32},
33{
34  plot: 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
35  title: 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
36},
37{
38  plot: 'Out of work actor Joe volunteers to help try and save his sister\'s local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...',
39  title: 'A Midwinter\'s Tale'
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1{
2   "plot" : 'Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.',
3   "title" : 'Interior. Leather Bar.'
4}
5{
6   "plot" : 'Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.',
7   "title" : 'Interview with the Assassin'
8}
9{
10   "plot" : 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
11   "title" : 'Brief Interviews with Hideous Men'
12}
13{
14   "plot" : 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
15   "title" : 'Austin Powers\:\ International Man of Mystery'
16}
17{
18   "plot" : 'A confused young man (Marsden) takes a journey on a road that doesn\'t exist on any map.',
19   "title" : 'Interstate 60\:\ Episodes of the Road'
20}
21{
22   "plot" : 'A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.',
23   "title" : 'Interview with the Vampire\:\ The Vampire Chronicles'
24}
25{
26   "plot" : 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
27   "title" : 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
28}
29{
30   "plot" : 'The film chronicles Australian-born opera star Marjorie Lawrence\'s success, her battle with polio, and her eventual career comeback.',
31   "title" : 'Interrupted Melody'
32}
33{
34   "plot" : "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
35   "title" : "Richness of Internal Space"
36}
37{
38   "plot" : "Three sisters find their lives spinning out of control in the wake of their parents' sudden, unexpected divorce.",
39   "title" : "Interiors"
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2   "plot" : 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
3   "title" : 'Kissed by Winter'
4}
5{
6   "plot" : 'The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...',
7   "title" : 'The Last Winter'
8}
9{
10   "plot" : 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
11   "title" : 'Suddenly, Last Winter'
12}
13{
14   "plot" : 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15   "title" : 'After Fall, Winter'
16}
17{
18   "plot" : 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
19   "title" : 'Summer Wishes, Winter Dreams'
20}
21{
22   "plot" : '1183 AD\:\ King Henry II\'s three sons all want to inherit the throne, but he won\'t commit to a choice. They and his wife variously plot to force him.',
23   "title" : 'The Lion in Winter'
24}
25{
26   "plot" : 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
27   "title" : 'A Tale of Winter'
28}
29{
30   "plot" : 'A mysterious creature is killing a farmer\'s livestock.',
31   "title" : 'In the Winter Dark'
32}
33{
34   "plot" : 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
35   "title" : 'The First Snow of Winter'
36}
37{
38   "plot" : 'A renowned artist must uncover a young dancer\'s secrets in order to truly capture her likeness for a commissioned work.',
39   "title" : 'A Year Ago in Winter'
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2   "plot" : 'A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.',
3   "title" : 'Austin Powers\:\ International Man of Mystery'
4}
5{
6   "plot" : 'On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.',
7   "title" : 'Spring, Summer, Fall, Winter... and Spring'
8}
9{
10   "plot" : 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
11   "title" : 'Summer Wishes, Winter Dreams'
12}
13{
14   "plot" : 'A mysterious creature is killing a farmer\'s livestock.',
15   "title" : 'In the Winter Dark'
16}
17{
18   "plot" : 'Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.',
19   "title" : 'Richness of Internal Space'
20}
21{
22   "plot" : 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
23   "title" : 'Brief Interviews with Hideous Men'
24}
25{
26   "plot" : 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.',
27   "title" : 'Captain America\:\ The Winter Soldier'
28}
29{
30   "plot" : 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
31   "title" : 'Sarah, Plain and Tall\:\ Winter\'s End'
32}
33{
34   "plot" : 'The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.',
35   "title" : 'The Internet\'s Own Boy\:\ The Story of Aaron Swartz'
36}
37{
38   "plot" : 'Out of work actor Joe volunteers to help try and save his sister\'s local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...',
39   "title" : 'A Midwinter\'s Tale'
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1[
2 {plot Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.}
3 {title Interior. Leather Bar.}
4]
5[
6 {plot Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.}
7 {title Interview with the Assassin}
8]
9[
10 {plot A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.}
11 {title Brief Interviews with Hideous Men}
12]
13[
14 {plot A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.}
15 {title Austin Powers: International Man of Mystery}
16]
17[
18 {plot A confused young man (Marsden) takes a journey on a road that doesn't exist on any map.}
19 {title Interstate 60: Episodes of the Road}
20]
21[
22 {plot A vampire tells his epic life story: love, betrayal, loneliness, and hunger.}
23 {title Interview with the Vampire: The Vampire Chronicles}
24]
25[
26 {plot The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.}
27 {title The Internet's Own Boy: The Story of Aaron Swartz}
28]
29[
30 {plot The film chronicles Australian-born opera star Marjorie Lawrence's success, her battle with polio, and her eventual career comeback.}
31 {title Interrupted Melody}
32]
33[
34 {plot Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.}
35 {title Richness of Internal Space}
36]
37[
38 {plot Three sisters find their lives spinning out of control in the wake of their parents' sudden, unexpected divorce.}
39 {title Interiors}
40]

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1[
2 {plot After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.}
3 {title Kissed by Winter}
4]
5[
6 {plot The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...}
7 {title The Last Winter}
8]
9[
10 {plot A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.}
11 {title Suddenly, Last Winter}
12]
13[
14 {plot WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...}
15 {title After Fall, Winter}
16]
17[
18 {plot Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...}
19 {title Summer Wishes, Winter Dreams}
20]
21[
22 {plot 1183 AD: King Henry II's three sons all want to inherit the throne, but he won't commit to a choice. They and his wife variously plot to force him.}
23 {title The Lion in Winter}
24]
25[
26 {plot Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...}
27 {title A Tale of Winter}
28]
29[
30 {plot A mysterious creature is killing a farmer's livestock.}
31 {title In the Winter Dark}
32]
33[
34 {plot Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...}
35 {title The First Snow of Winter}
36]
37[
38 {plot A renowned artist must uncover a young dancer's secrets in order to truly capture her likeness for a commissioned work.}
39 {title A Year Ago in Winter}
40]

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1[
2 {plot A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.}
3 {title Austin Powers: International Man of Mystery}
4]
5[
6 {plot On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.}
7 {title Spring, Summer, Fall, Winter... and Spring}
8]
9[
10 {plot Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...}
11 {title Summer Wishes, Winter Dreams}
12]
13[
14 {plot A mysterious creature is killing a farmer's livestock.}
15 {title In the Winter Dark}
16]
17[
18 {plot Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.}
19 {title Richness of Internal Space}
20]
21[
22 {plot A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.}
23 {title Brief Interviews with Hideous Men}
24]
25[
26 {plot As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.}
27 {title Captain America: The Winter Soldier}
28]
29[
30 {plot On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...}
31 {title Sarah, Plain and Tall: Winter's End}
32]
33[
34 {plot The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.}
35 {title The Internet's Own Boy: The Story of Aaron Swartz}
36]
37[
38 {plot Out of work actor Joe volunteers to help try and save his sister's local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...}
39 {title A Midwinter's Tale}
40]

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1{
2   "plot" : "Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.",
3   "title" : "Interior. Leather Bar."
4}
5{
6   "plot" : "Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.",
7   "title" : "Interview with the Assassin"
8}
9{
10   "plot" : "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
11   "title" : "Brief Interviews with Hideous Men"
12}
13{
14   "plot" : "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
15   "title" : "Austin Powers\:\ International Man of Mystery"
16}
17{
18   "plot" : "A confused young man (Marsden) takes a journey on a road that doesn't exist on any map.",
19   "title" : "Interstate 60\:\ Episodes of the Road"
20}
21{
22   "plot" : "A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.",
23   "title" : "Interview with the Vampire\:\ The Vampire Chronicles"
24}
25{
26   "plot" : "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
27   "title" : "The Internet's Own Boy\:\ The Story of Aaron Swartz"
28}
29{
30   "plot" : "The film chronicles Australian-born opera star Marjorie Lawrence's success, her battle with polio, and her eventual career comeback.",
31   "title" : "Interrupted Melody"
32}
33{
34   "plot" : "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
35   "title" : "Richness of Internal Space"
36}
37{
38   "plot" : "Three sisters find their lives spinning out of control in the wake of their parents' sudden, unexpected divorce.",
39   "title" : "Interiors"
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2   "plot" : 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
3   "title" : 'Kissed by Winter'
4}
5{
6   "plot" : 'The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...',
7   "title" : 'The Last Winter'
8}
9{
10   "plot" : 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
11   "title" : 'Suddenly, Last Winter'
12}
13{
14   "plot" : 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15   "title" : 'After Fall, Winter'
16}
17{
18   "plot" : 'Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...',
19   "title" : 'Summer Wishes, Winter Dreams'
20}
21{
22   "plot" : '1183 AD\:\ King Henry II\'s three sons all want to inherit the throne, but he won\'t commit to a choice. They and his wife variously plot to force him.',
23   "title" : 'The Lion in Winter'
24}
25{
26   "plot" : 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
27   "title" : 'A Tale of Winter'
28}
29{
30   "plot" : 'A mysterious creature is killing a farmer\'s livestock.',
31   "title" : 'In the Winter Dark'
32}
33{
34   "plot" : 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
35   "title" : 'The First Snow of Winter'
36}
37{
38   "plot" : 'A renowned artist must uncover a young dancer\'s secrets in order to truly capture her likeness for a commissioned work.',
39   "title" : 'A Year Ago in Winter'
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2   "plot": "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
3   "title": "Austin Powers\:\ International Man of Mystery"
4}
5{
6   "plot": "On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.",
7   "title": "Spring, Summer, Fall, Winter... and Spring"
8}
9{
10   "plot": "Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...",
11   "title": "Summer Wishes, Winter Dreams"
12}
13{
14   "plot": "A mysterious creature is killing a farmer's livestock.",
15   "title": "In the Winter Dark"
16}
17{
18   "plot": "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
19   "title": "Richness of Internal Space"
20}
21{
22   "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
23   "title": "Brief Interviews with Hideous Men"
24}
25{
26   "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.",
27   "title": "Captain America\:\ The Winter Soldier"
28}
29{
30   "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
31   "title": "Sarah, Plain and Tall\:\ Winter's End"
32}
33{
34   "plot": "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
35   "title": "The Internet's Own Boy\:\ The Story of Aaron Swartz"
36}
37{
38   "plot": "Out of work actor Joe volunteers to help try and save his sister's local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...",
39   "title": "A Midwinter's Tale"
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1Document{{plot=Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim., title=Interview with the Assassin}}
2Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}}
3Document{{plot=A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place., title=Austin Powers: International Man of Mystery}}
4Document{{plot=A confused young man (Marsden) takes a journey on a road that doesn't exist on any map., title=Interstate 60: Episodes of the Road}}
5Document{{plot=A vampire tells his epic life story: love, betrayal, loneliness, and hunger., title=Interview with the Vampire: The Vampire Chronicles}}
6Document{{plot=The film chronicles Australian-born opera star Marjorie Lawrence's success, her battle with polio, and her eventual career comeback., title=Interrupted Melody}}
7Document{{plot=The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26., title=The Internet's Own Boy: The Story of Aaron Swartz}}
8Document{{plot=Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man., title=Richness of Internal Space}}
9Document{{plot=Vincent Eastman has to choose between his wife of 16 years, Sally, and his new love, Olivia. Frequent flashbacks explain the background to the marriage and the affair., title=Intersection}}
10Document{{plot=After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress., title=Interview}}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1Document{{plot=A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy., title=Suddenly, Last Winter}}
2Document{{plot=After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy., title=Kissed by Winter}}
3Document{{plot=WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ..., title=After Fall, Winter}}
4Document{{plot=Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ..., title=A Tale of Winter}}
5Document{{plot=A mysterious creature is killing a farmer's livestock., title=In the Winter Dark}}
6Document{{plot=Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ..., title=Summer Wishes, Winter Dreams}}
7Document{{plot=1183 AD: King Henry II's three sons all want to inherit the throne, but he won't commit to a choice. They and his wife variously plot to force him., title=The Lion in Winter}}
8Document{{plot=As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier., title=Captain America: The Winter Soldier}}
9Document{{plot=Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ..., title=The First Snow of Winter}}
10Document{{plot=A renowned artist must uncover a young dancer's secrets in order to truly capture her likeness for a commissioned work., title=A Year Ago in Winter}}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1Document{{plot=On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by., title=Spring, Summer, Fall, Winter... and Spring}}
2Document{{plot=A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place., title=Austin Powers: International Man of Mystery}}
3Document{{plot=Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ..., title=Summer Wishes, Winter Dreams}}
4Document{{plot=A mysterious creature is killing a farmer's livestock., title=In the Winter Dark}}
5Document{{plot=Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man., title=Richness of Internal Space}}
6Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}}
7Document{{plot=As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier., title=Captain America: The Winter Soldier}}
8Document{{plot=On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ..., title=Sarah, Plain and Tall: Winter's End}}
9Document{{plot=The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26., title=The Internet's Own Boy: The Story of Aaron Swartz}}
10Document{{plot=Set during World War 2. After Nazi Germany invaded Poland in September 1939, Russia attacked Finland in November 1939. Finnish reservists leave their homes and go to war. The film focuses ..., title=The Winter War}}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1{
2   "plot": "Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.",
3   "title": "Interior. Leather Bar."
4}
5{
6   "plot": "Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.",
7   "title": "Interview with the Assassin"
8}
9{
10   "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
11   "title": "Brief Interviews with Hideous Men"
12}
13{
14   "plot": "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
15   "title": "Austin Powers\:\ International Man of Mystery"
16}
17{
18   "plot": "A confused young man (Marsden) takes a journey on a road that doesn't exist on any map.",
19   "title": "Interstate 60\:\ Episodes of the Road"
20}
21{
22   "plot": "A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.",
23   "title": "Interview with the Vampire\:\ The Vampire Chronicles"
24}
25{
26   "plot": "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
27   "title": "The Internet's Own Boy\:\ The Story of Aaron Swartz"
28}
29{
30   "plot": "The film chronicles Australian-born opera star Marjorie Lawrence's success, her battle with polio, and her eventual career comeback.",
31   "title": "Interrupted Melody"
32}
33{
34   "plot": "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
35   "title": "Richness of Internal Space"
36}
37{
38   "plot": "Three sisters find their lives spinning out of control in the wake of their parents' sudden, unexpected divorce.",
39   "title": "Interiors"
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2   "plot": "After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.",
3   "title": "Kissed by Winter"
4}
5{
6   "plot": "The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...",
7   "title": "The Last Winter"
8}
9{
10   "plot": "A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.",
11   "title": "Suddenly, Last Winter"
12}
13{
14   "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
15   "title": "After Fall, Winter"
16}
17{
18   "plot": "Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...",
19   "title": "Summer Wishes, Winter Dreams"
20}
21{
22   "plot": "1183 AD\:\ King Henry II's three sons all want to inherit the throne, but he won't commit to a choice. They and his wife variously plot to force him.",
23   "title": "The Lion in Winter"
24}
25{
26   "plot": "Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...",
27   "title": "A Tale of Winter"
28}
29{
30   "plot": "A mysterious creature is killing a farmer's livestock.",
31   "title": "In the Winter Dark"
32}
33{
34   "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
35   "title": "The First Snow of Winter"
36}
37{
38   "plot": "A renowned artist must uncover a young dancer's secrets in order to truly capture her likeness for a commissioned work.",
39   "title": "A Year Ago in Winter"
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2   "plot": "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
3   "title": "Austin Powers\:\ International Man of Mystery"
4}
5{
6   "plot": "On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.",
7   "title": "Spring, Summer, Fall, Winter... and Spring"
8}
9{
10   "plot": "Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...",
11   "title": "Summer Wishes, Winter Dreams"
12}
13{
14   "plot": "A mysterious creature is killing a farmer's livestock.",
15   "title": "In the Winter Dark"
16}
17{
18   "plot": "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
19   "title": "Richness of Internal Space"
20}
21{
22   "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
23   "title": "Brief Interviews with Hideous Men"
24}
25{
26   "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.",
27   "title": "Captain America\:\ The Winter Soldier"
28}
29{
30   "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
31   "title": "Sarah, Plain and Tall\:\ Winter's End"
32}
33{
34   "plot": "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
35   "title": "The Internet's Own Boy\:\ The Story of Aaron Swartz"
36}
37{
38   "plot": "Out of work actor Joe volunteers to help try and save his sister's local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...",
39   "title": "A Midwinter's Tale"
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

1{
2   "plot": "Filmmakers James Franco and Travis Mathews re-imagine the lost 40 minutes from \"Cruising\" as a starting point to a broader exploration of sexual and creative freedom.",
3   "title": "Interior. Leather Bar."
4}
5{
6   "plot": "Almost forty years after the John F. Kennedy assassination, an ex-Marine named Walter Ohlinger has come forward with a startling claim.",
7   "title": "Interview with the Assassin"
8}
9{
10   "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
11   "title": "Brief Interviews with Hideous Men"
12}
13{
14   "plot": "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
15   "title": "Austin Powers\:\ International Man of Mystery"
16}
17{
18   "plot": "A confused young man (Marsden) takes a journey on a road that doesn't exist on any map.",
19   "title": "Interstate 60\:\ Episodes of the Road"
20}
21{
22   "plot": "A vampire tells his epic life story\:\ love, betrayal, loneliness, and hunger.",
23   "title": "Interview with the Vampire\:\ The Vampire Chronicles"
24}
25{
26   "plot": "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
27   "title": "The Internet's Own Boy\:\ The Story of Aaron Swartz"
28}
29{
30   "plot": "The film chronicles Australian-born opera star Marjorie Lawrence's success, her battle with polio, and her eventual career comeback.",
31   "title": "Interrupted Melody"
32}
33{
34   "plot": "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
35   "title": "Richness of Internal Space"
36}
37{
38   "plot": "Three sisters find their lives spinning out of control in the wake of their parents' sudden, unexpected divorce.",
39   "title": "Interiors"
40}

In these results, the characters inter appear at the beginning of a word in the title or plot field. Atlas Search returns results that begin with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting at the left side the word.

1{
2   "plot": "After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.",
3   "title": "Kissed by Winter"
4}
5{
6   "plot": "The American oil company KIC Corporation is building an ice road to explore the remote Northern Arctic National Wildlife Refuge seeking energy independence. Independent environmentalists ...",
7   "title": "The Last Winter"
8}
9{
10   "plot": "A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.",
11   "title": "Suddenly, Last Winter"
12}
13{
14   "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
15   "title": "After Fall, Winter"
16}
17{
18   "plot": "Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...",
19   "title": "Summer Wishes, Winter Dreams"
20}
21{
22   "plot": "1183 AD\:\ King Henry II's three sons all want to inherit the throne, but he won't commit to a choice. They and his wife variously plot to force him.",
23   "title": "The Lion in Winter"
24}
25{
26   "plot": "Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...",
27   "title": "A Tale of Winter"
28}
29{
30   "plot": "A mysterious creature is killing a farmer's livestock.",
31   "title": "In the Winter Dark"
32}
33{
34   "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
35   "title": "The First Snow of Winter"
36}
37{
38   "plot": "A renowned artist must uncover a young dancer's secrets in order to truly capture her likeness for a commissioned work.",
39   "title": "A Year Ago in Winter"
40}

In these results, the characters inter appear at the end of a word in the title or plot field. Atlas Search returns results that end with the specified query string because Atlas Search matches the query term to the tokens that it creates for the title and plot fields starting from the right side of the words as delimited by the analyzer.

1{
2   "plot": "A 1960s hipster secret agent is brought out of cryofreeze to oppose his greatest enemy in the 1990s, where his social attitudes are glaringly out of place.",
3   "title": "Austin Powers\:\ International Man of Mystery"
4}
5{
6   "plot": "On an isolated lake, an old monk lives on a small floating temple. The wise master has also a young boy with him who learns to become a monk. And we watch as seasons and years pass by.",
7   "title": "Spring, Summer, Fall, Winter... and Spring"
8}
9{
10   "plot": "Rita, a middle aged New York City homemaker, finds herself in an emotional crisis which forces her to re-examine her life, as well as her relationships with her mother, her eye doctor ...",
11   "title": "Summer Wishes, Winter Dreams"
12}
13{
14   "plot": "A mysterious creature is killing a farmer's livestock.",
15   "title": "In the Winter Dark"
16}
17{
18   "plot": "Locked up and isolated, constantly exposed and threatened to be killed, for the first time in his life Lazaro understood that he was a free man.",
19   "title": "Richness of Internal Space"
20}
21{
22   "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
23   "title": "Brief Interviews with Hideous Men"
24}
25{
26   "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.",
27   "title": "Captain America\:\ The Winter Soldier"
28}
29{
30   "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
31   "title": "Sarah, Plain and Tall\:\ Winter's End"
32}
33{
34   "plot": "The story of programming prodigy and information activist Aaron Swartz, who took his own life at the age of 26.",
35   "title": "The Internet's Own Boy\:\ The Story of Aaron Swartz"
36}
37{
38   "plot": "Out of work actor Joe volunteers to help try and save his sister's local church for the community by putting on a Christmas production of Hamlet, somewhat against the advice of his agent ...",
39   "title": "A Midwinter's Tale"
40}

In these results, the characters inter appear somewhere in a word in the title or plot field. Atlas Search returns results with words that contain the specified query string because Atlas Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title and plot fields.

Bucket Results through Facet Queries

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    "$searchMeta": {
      "facet": {
        "operator": {
          "autocomplete": {
            "query": "Gravity",
            "path": "title"
          }
        },
        "facets": {
          "titleFacet": {
            "type": "string",
            "path": "title"
          }
        }
      }
    }
  }
]

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1db.movies.aggregate([{
2  $searchMeta: {
3    "facet": {
4      "operator": {
5        "autocomplete": {
6          "query": "Gravity",
7          "path": "title"
8        }
9      },
10      "facets": {
11        "titleFacet": {
12          "type": "string",
13          "path": "title"
14        }
15      }
16    }
17  }
18}])

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

In the Aggregations tab of the movies collection, configure the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage.

Pipeline Stage
Query

$searchMeta

{
  facet: {
    operator: {
      autocomplete: {
          path: 'title',
          query: 'Gravity'
      }
    },
    facets: {
      titleFacet: {
        type: 'string',
        path: 'title'
      }
    }
  }
}

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1using MongoDB.Bson;
2using MongoDB.Bson.Serialization.Attributes;
3using MongoDB.Bson.Serialization.Conventions;
4using MongoDB.Driver;
5using MongoDB.Driver.Search;
6
7public class AutocompleteFacetExample
8{
9    private const string MongoConnectionString = "<connection-string>";
10
11    public static void Main(string[] args)
12    {
13        // allow automapping of the camelCase database fields to our MovieDocument
14        var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15        ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16
17        // connect to your Atlas cluster
18        var mongoClient = new MongoClient(MongoConnectionString);
19        var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
20        var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
21
22        // define and run pipeline
23        var results = moviesCollection.Aggregate()
24            .SearchMeta(Builders<MovieDocument>.Search.Facet(
25                Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "Gravity"),
26                Builders<MovieDocument>.SearchFacet.String("titleFacet", movie => movie.Title, 100)))
27            .Single();
28
29        // print results
30        Console.WriteLine(results.ToJson());
31    }
32}
33
34[BsonIgnoreExtraElements]
35public class MovieDocument
36{
37    [BsonIgnoreIfDefault]
38    public ObjectId Id { get; set; }
39    public string Title { get; set; }
40}

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1package main
2
3import (
4	"context"
5	"fmt"
6
7	"go.mongodb.org/mongo-driver/bson"
8	"go.mongodb.org/mongo-driver/mongo"
9	"go.mongodb.org/mongo-driver/mongo/options"
10)
11
12func main() {
13	// connect to your Atlas cluster
14	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
15	if err != nil {
16		panic(err)
17	}
18	defer client.Disconnect(context.TODO())
19
20	// set namespace
21	collection := client.Database("sample_mflix").Collection("movies")
22
23	// define pipeline stages
24	searchMetaStage := bson.D{{"$searchMeta", bson.M{
25		"facet": bson.M{
26			"operator": bson.M{
27				"autocomplete": bson.M{
28					"path": "title", "query": "Gravity",
29				},
30			},
31			"facets": bson.M{
32				"titleFacet": bson.M{
33					"path": "title", "type": "string",
34				},
35			},
36		},
37	}}}
38
39	// run pipeline
40	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchMetaStage})
41	if err != nil {
42		panic(err)
43	}
44
45	// print results
46	var results []bson.D
47	if err = cursor.All(context.TODO(), &results); err != nil {
48		panic(err)
49	}
50	for _, result := range results {
51		fmt.Println(result)
52	}
53}

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1import com.mongodb.client.MongoClient;
2import com.mongodb.client.MongoClients;
3import com.mongodb.client.MongoCollection;
4import com.mongodb.client.MongoDatabase;
5import org.bson.Document;
6
7import java.util.Arrays;
8
9public class FacetAutocompleteExample {
10    public static void main(String[] args) {
11        // connect to your Atlas cluster
12        String uri = "<connection-string>";
13
14        try (MongoClient mongoClient = MongoClients.create(uri)) {
15            // set namespace
16            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
17            MongoCollection<Document> collection = database.getCollection("movies");
18            
19            // define pipeline
20            Document agg = new Document("$searchMeta", new Document("facet", 
21            new Document("operator", 
22                new Document("autocomplete", 
23                    new Document("path", "title")
24                    .append("query", "Gravity")))
25            .append("facets", 
26                new Document("titleFacet", 
27                    new Document("type", "string").append("path", "title"))
28             )));
29            // run pipeline and print results
30            collection.aggregate(Arrays.asList(agg))
31                .forEach(doc -> System.out.println(doc.toJson()));
32
33        }
34    }
35}

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1import com.mongodb.client.model.Aggregates.limit
2import com.mongodb.client.model.Aggregates.project
3import com.mongodb.client.model.Filters.eq
4import com.mongodb.client.model.Projections.*
5import com.mongodb.kotlin.client.coroutine.MongoClient
6import kotlinx.coroutines.runBlocking
7import org.bson.Document
8
9fun main() {
10    val uri = "<connection-string>"
11    val mongoClient = MongoClient.create(uri)
12    val database = mongoClient.getDatabase("sample_mflix")
13    val collection = database.getCollection<Document>("movies")
14
15    runBlocking {
16        val agg = Document(
17            "\$searchMeta", Document(
18                "facet",
19                Document(
20                    "operator",
21                    Document(
22                        "autocomplete",
23                        Document("path", "title")
24                            .append("query", "Gravity")
25                    )
26                )
27                    .append(
28                        "facets",
29                        Document(
30                            "titleFacet",
31                            Document("type", "string").append("path", "title")
32                        )
33                    )
34            )
35        )
36
37        val resultsFlow = collection.aggregate<Document>(listOf(agg))
38        resultsFlow.collect { println(it) }
39    }
40    mongoClient.close()
41}

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri =
5    "<connection-string>";
6    
7const client = new MongoClient(uri);
8
9async function run() {
10    try {
11        await client.connect();
12
13        // set namespace
14        const database = client.db("sample_mflix");
15        const coll = database.collection("movies");
16
17        // define pipeline
18        const agg = [{$searchMeta: {facet: {
19                operator: {
20                  autocomplete: {path: "title", query: "Gravity"}
21                },
22                facets: {
23                  titleFacet: {type: "string", path: "title"}
24                }}}}];
25        // run pipeline
26        const result = coll.aggregate(agg);
27
28        // print results
29        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
30    } finally {
31        await client.close();
32    }
33}
34run().catch(console.dir);

The following query uses the $searchMeta stage to return unique values of movies that contain the term Gravity in the title field of the movies collection. The index definition of this query limits the results returned from a stringFacet index, where both the autocomplete and stringFacet types are on the title field.

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient('<connection-string>')
5
6# define pipeline
7pipeline = [{"$searchMeta": { 
8    "facet": {
9        "operator": {
10          "autocomplete": {"path": "title", "query": "Gravity"}
11        },
12        "facets": {
13          "titleFacet": {"type": "string", "path": "title"}
14        }}}}]
15# run pipeline
16result = client["sample_mflix"]["movies"].aggregate(pipeline)
17
18# print results
19for i in result:
20    print(i)
count: Object
  lowerBound: 5
facet: Object
  titleFacet: Object
    buckets: Array (3)
    0: Object
      _id: "Gravity"
      count: 3
    1: Object
      _id: "Defying Gravity"
      count: 1
    2: Object
      _id: "Laws of Gravity"
      count: 1

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

1[{
2   count: { lowerBound: Long("5") },
3   facet: {
4      titleFacet: {
5      buckets: [
6         { _id: 'Gravity', count: Long("3") },
7         { _id: 'Defying Gravity', count: Long("1") },
8         { _id: 'Laws of Gravity', count: Long("1") }
9      ]
10      }
11   }
12}]
1[{
2   count: { lowerBound: Long("5") },
3   facet: {
4      titleFacet: {
5      buckets: [
6         { _id: 'Gravity', count: Long("3") },
7         { _id: 'Defying Gravity', count: Long("1") },
8         { _id: 'Laws of Gravity', count: Long("1") }
9      ]
10      }
11   }
12}]
1{
2  "count" : {
3    "lowerBound" : NumberLong(5),
4    "total" : null
5  },
6  "facet" : {
7    "titleFacet" : {
8      "buckets" : [
9        {
10          "_id" : "Gravity",
11          "count" : NumberLong(3)
12        },
13        {
14          "_id" : "Defying Gravity",
15          "count" : NumberLong(1)
16        },
17        {
18          "_id" : "Laws of Gravity",
19          "count" : NumberLong(1)
20        }]
21    }
22  }
23}
1[
2  {
3    count [{
4      lowerBound 5}
5    ]
6  }
7  {
8    facet [{
9      titleFacet [{
10        buckets [
11           [{_id Gravity} {count 3}]
12           [{_id Defying Gravity} {count 1}]
13           [{_id Laws of Gravity} {count 1}]
14        ]
15     }]}]
16  }
17]
1{
2  "count": {
3    "lowerBound": 5
4   },
5   "facet": {
6     "titleFacet": {
7       "buckets": [
8       {
9         "_id": "Gravity",
10         "count": 3
11       },
12       {
13         "_id": "Defying Gravity",
14         "count": 1
15       },
16       {
17         "_id": "Laws of Gravity",
18         "count": 1
19       }]
20   }
21  }
22}
1Document{{count=Document{{lowerBound=5}},
2facet=Document{{titleFacet=Document{{buckets=[Document{{_id=Gravity,
3count=3}}, Document{{_id=Defying Gravity, count=1}}, Document{{_id=Laws
4of Gravity, count=1}}]}}}}}}
1'{
2  "count":{
3    "lowerBound":5
4   },
5   "facet":{
6     "titleFacet":{
7       "buckets":[
8         {
9           "_id":"Gravity",
10           "count":3
11         },
12         {
13           "_id":"Defying Gravity",
14           "count":1
15         },
16         {
17           "_id":"Laws of Gravity",
18           "count":1
19         }
20       ]
21     }
22   }
23 }'
1{
2  'count': {'lowerBound': 5},
3  'facet': {
4    'titleFacet': {
5      'buckets': [
6      {
7        '_id': 'Gravity',
8        'count': 3
9      },
10      {
11        '_id': 'Defying Gravity',
12        'count': 1
13      },
14      {
15        '_id': 'Laws of Gravity',
16        'count': 1
17      }]
18   }
19  }
20}

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

[
  { title: 'Gravity' },
  { title: 'Gravity' },
  { title: 'Gravity' },
  { title: 'Defying Gravity' },
  { title: 'Laws of Gravity' }
]

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

[
  { title: 'Gravity' },
  { title: 'Gravity' },
  { title: 'Gravity' },
  { title: 'Defying Gravity' },
  { title: 'Laws of Gravity' }
]

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

{ "title" : "Gravity" }
{ "title" : "Gravity" }
{ "title" : "Gravity" }
{ "title" : "Defying Gravity" }
{ "title" : "Laws of Gravity" }

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

[{title Gravity}],
[{title Gravity}],
[{title Gravity}],
[{title Defying Gravity}],
[{title Laws of Gravity}]

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

{"title": "Gravity"}
{"title": "Gravity"}
{"title": "Gravity"}
{"title": "Defying Gravity"}
{"title": "Laws of Gravity"}

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

Document{{title=Gravity}}
Document{{title=Gravity}}
Document{{title=Gravity}}
Document{{title=Defying Gravity}}
Document{{title=Laws of Gravity}}

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

{ title: 'Gravity' }
{ title: 'Gravity' }
{ title: 'Gravity' }
{ title: 'Defying Gravity' }
{ title: 'Laws of Gravity' }

Atlas Search returns documents that contain the term Gravity in the title field. The count field in the results indicate the number of documents in the collection with the same title. In the results, Atlas Search found three documents in the collection with Gravity as its title, but Atlas Search omitted the duplicate titles and returned only one matching document.

If you want to see the duplicate titles as shown in the results below, run the preceding autocomplete operator query without facets and use the $search stage instead. You must also use the $project stage to exclude all fields except title.

{ 'title': 'Gravity' }
{ 'title': 'Gravity' }
{ 'title': 'Gravity' }
{ 'title': 'Defying Gravity' }
{ 'title': 'Laws of Gravity' }

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