How to Use Autocomplete with Atlas Search

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.

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.

Go to the Search Tester.

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

View and edit the query syntax.

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

Run an Atlas Search query with the autocomplete operator on the movies collection.

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

[
  {
    $search: {
      index: "autocomplete-tutorial",
      autocomplete: {
        query: "ger",
        path: "title"
      }
    }
  }
]

SCORE: 6.085907459259033  _id:  "573a1390f29313caabcd50e5"
  plot: "The cartoonist, Winsor McCay, brings the Dinosaurus back to life in th…"
  genre: Array
  runtime: 12
SCORE: 6.085907459259033  _id:  "573a1393f29313caabcddae1"
  plot: "Edmund, a young boy who lives in war-devastated Germany after the Seco…"
  genres: Array
  runtime: 78
SCORE: 6.085907459259033  _id:  "573a1397f29313caabce6b75"
  plot: "Germany in Autumn does not have a plot per se; it mixes documentary fo…"
  genres: Array
  runtime: 123
SCORE: 6.085907459259033  _id:  "573a1397f29313caabce77b5"
  plot: "Germany 1939. Hans and Lene marry the day before the war breaks out, a…"
  genres: Array
  runtime: 123
SCORE: 6.085907459259033  _id:  "573a13d4f29313caabd99fa2"
  plot: "A documentary on the German artist that includes glimpses at his studi…"
  genres: Array
  runtime: 97
SCORE: 6.046686172485352  _id:  "573a1399f29313caabcedb50"
  plot: "The story of the Apache chief and his armed resistance to the US Gover…"
  genres: Array
  runtime: 115
SCORE: 5.8947296142578125  _id:  "573a13a5f29313caabd15dae"
  num_mflix_comments: 1
  genres: Array
  runtime: 83
SCORE: 5.826231956481934  _id:  "573a139bf29313caabcf36bd"
  plot: "Geri sets up a chess game to play his greatest opponent - himself."
  genres: Array
  runtime: 4
SCORE: 5.772464752197266  _id:  "573a13d2f29313caabd922de"
  plot: "The true story of an Argentine family who lived with Josef Mengele wit…"
  genres: Array
  runtime: 93
SCORE: 5.772464752197266  _id:  "573a13b4f29313caabd41bb7"
  plot: "In 1928, Dr. Max Gerson, a German-Jewish researcher, stumbled upon a t…"
  genres: Array
  countries: Array

Expand your query results.

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.

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.

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.

Go to the Search Tester.

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

View and edit the query syntax.

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

Run an Atlas Search query with the compound and autocomplete operators on the movies collection.

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

[
  {
    $search: {
      index: "autocomplete-tutorial",
      compound: {
        should: [{
          autocomplete: {
            query: "pri",
            path: "title"
          }
        },
        {
          autocomplete: {
            query: "pri",
            path: "plot"
          }
        }],
        minimumShouldMatch: 1
      }
    }
  }
]

SCORE: 7.52535343170166  _id:  "573a13e7f29313caabdc80cd"
  plot: "Prison Terminal: The Last Days of Private Jack Hall is a moving cinema…"
  genre: Array
  runtime: 40
SCORE: 7.235145568847656  _id:  "573a13adf29313caabd2b504"
  plot: "Now settled in Genovia, Princess Mia faces a new revelation: she is be…"
  genres: Array
  runtime: 113
SCORE: 7.202958106994629  _id:  "573a13b5f29313caabd43816"
  plot: "A young fugitive prince and princess must stop a villain who unknowing…"
  genres: Array
  runtime: 116
SCORE: 7.201740264892578  _id:  "573a139af29313caabcf0d54"
  plot: "The first wedding anniversary of Princess Odette and Prince Derek is d…"
  genres: Array
  runtime: 71
SCORE: 7.174992561340332  _id:  "573a1399f29313caabceeead"
  plot: "Jane Austen's classic novel about the prejudice that occurred between …"
  genres: Array
  runtime: 327
SCORE: 7.173888206481934  _id:  "573a13c1f29313caabd63a21"
  plot: "A princess whose country has been invaded goes into hiding in Louisian…"
  genres: Array
  countries: Array
SCORE: 7.163987159729004  _id:  "573a13eef29313caabdd51a6"
  plot: "Follows the people racing to bring the hot new 3D printing technology …"
  genres: Array
  runtime: 100
SCORE: 7.155245780944824  _id:  "573a13a5f29313caabd14adf"
  plot: "When her father is captured by The Sheriff of Nottingham and Prince Jo…"
  genres: Array
  runtime: 88
SCORE: 7.146618843078613  _id:  "573a139af29313caabcf0efc"
  plot: "An Egyptian prince learns of his identity as a Hebrew and, later his d…"
  genres: Array
  runtime: 99
SCORE: 7.132328987121582  _id:  "573a139af29313caabcf003b"
  plot: "Two Russian soldiers, one battle-seasoned and the other barely into hi…"
  genres: Array
  runtime: 99

Expand your query results.

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.

Connect to your cluster in mongosh.

Open mongosh in a terminal window and connect to your cluster. For detailed instructions on connecting, see Connect via mongosh.

Use the sample_mflix database.

Run the following command at mongosh prompt:

use sample_mflix

Run an Atlas Search query with the autocomplete operator on the movies collection.

The following query searches for movies with the characters ger in the title field. The query includes the $limit stage to limit the output to 20 results and the $project stage to exclude all fields except title.

db.movies.aggregate([
  {
    $search: {
      "index": "autocomplete-tutorial",
      "autocomplete": {
        "path": "title",
        "query": "ger"
      }
    }
  },
  {
    $limit: 20
  },
  {
    $project: {
      "_id": 0,
      "title": 1
    }
  }
])

{ title: "Gertie the Dinosaur" },
{ title: "Germany Year Zero" },
{ title: "Germany in Autumn" },
{ title: "Germany Pale Mother" },
{ title: "Gerhard Richter - Painting" },
{ title: "Geronimo: An American Legend" },
{ title: "How to Live in the German Federal Republic" },
{ title: "Geri's Game" },
{ title: "The Gerson Miracle" },
{ title: "The German Doctor" },
{ title: "From Caligari to Hitler: German Cinema in the Age of the Masse"},
{ title: "From Caligari to Hitler: German Cinema in the Age of the Masses"},
{ title: "Gèraldine" },
{ title: "Gervaise" },
{ title: "Gertrud" },
{ title: "Germinal" },
{ title: "Gerry" },
{ title: "Gerontophilia" },
{ title: "Pionery-geroi" },
{ title: "The Good German" }

Connect to your cluster in mongosh.

Open mongosh in a terminal window and connect to your cluster. For detailed instructions on connecting, see Connect via mongosh.

Use the sample_mflix database.

Run the following command at mongosh prompt:

use sample_mflix

Run an Atlas Search query with the compound and autocomplete operators on the movies collection.

The following query searches for movies with the characters pri in the title and plot field. The query includes the $limit stage to limit the output to five results and the $project stage to exclude all fields except title and plot.

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

{
  plot: 'Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...',
  title: 'Prison Terminal: The Last Days of Private Jack Hall'
}
{
  plot: 'Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.',
  title: 'The Princess Diaries 2: Royal Engagement'
}
{
  plot: 'A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.',
  title: 'Prince of Persia: The Sands of Time'
}
{
  plot: 'The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...',
  title: 'The Swan Princess: Escape from Castle Mountain'
}
{
  plot: "Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.",
  title: 'Pride and Prejudice'
}

Connect to your cluster in MongoDB Compass.

Open MongoDB Compass and connect to your cluster. For detailed instructions on connecting, see Connect via Compass.

Use the movies collection in the sample_mflix database.

On the Database screen, click the sample_mflix database, then click the movies collection.

Run an Atlas Search query with the autocomplete operator on the movies collection.

The query uses the following pipeline stages:

• $search to search the title field using the autocomplete operator for words that begin with the characters ger

• $limit stage to limit the output to 20 results

• $project stage to exclude all fields except title

To run this query in MongoDB Compass:

1. Click the Aggregations tab.

2. Click Select..., then 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.

   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	{ "index": "autocomplete-tutorial", "autocomplete": { "query": "ger", "path": "title" } }
   $limit	20
   $project	{ "_id": 0, "title": 1, }

If you enabled Auto Preview, MongoDB Compass displays the following documents next to the $autocomplete pipeline stage:

1
{ title: "Gertie the Dinosaur" },
2
{ title: "Germany Year Zero" },
3
{ title: "Germany in Autumn" },
4
{ title: "Germany Pale Mother" },
5
{ title: "Gerhard Richter - Painting" },
6
{ title: "Geronimo: An American Legend" },
7
{ title: "How to Live in the German Federal Republic" },
8
{ title: "Geri's Game" },
9
{ title: "The Gerson Miracle" },
10
{ title: "The German Doctor" },
11
{ title: "From Caligari to Hitler: German Cinema in the Age of the Masse"},
12
{ title: "From Caligari to Hitler: German Cinema in the Age of the Masses"},
13
{ title: "Gèraldine" },
14
{ title: "Gervaise" },
15
{ title: "Gertrud" },
16
{ title: "Germinal" },
17
{ title: "Gerry" },
18
{ title: "Gerontophilia" },
19
{ title: "Pionery-geroi" },
20
{ title: "The Good German" }

Connect to your cluster in MongoDB Compass.

Open MongoDB Compass and connect to your cluster. For detailed instructions on connecting, see Connect via Compass.

Use the movies collection in the sample_mflix database.

On the Database screen, click the sample_mflix database, then click the movies collection.

Run an Atlas Search query with the autocomplete operator on the movies collection.

The query uses the following pipeline stages:

• $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

• $limit stage to limit the output to 5 results

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

To run this query in MongoDB Compass:

1. Click the Aggregations tab.

2. Click Select..., then 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.

   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	{ "index": "autocomplete-tutorial", "compound": { "should": [{ "autocomplete": { "query": "pri", "path": "title" } }, { "autocomplete": { "query": "pri", "path": "plot" } }], "minimumShouldMatch": 1 } }
   $limit	5
   $project	{ "_id": 0, "title": 1, "plot": 1 }

If you enabled Auto Preview, MongoDB Compass displays the following documents next to the $autocomplete pipeline stage:

1
  {
2
    plot: 'Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...',
3
    title: 'Prison Terminal: The Last Days of Private Jack Hall'
4
  }
5
  {
6
    plot: 'Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.',
7
    title: 'The Princess Diaries 2: Royal Engagement'
8
  }
9
  {
10
    plot: 'A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.',
11
    title: 'Prince of Persia: The Sands of Time'
12
  }
13
  {
14
    plot: 'The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...',
15
    title: 'The Swan Princess: Escape from Castle Mountain'
16
  }
17
  {
18
    plot: "Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.",
19
    title: 'Pride and Prejudice'
20
  }

Set up and initialize the .NET/C# project for the query.

1. Create a new directory called basic-autocomplete-example and initialize your project with the dotnet new command.

   mkdir basic-autocomplete-example
   cd basic-autocomplete-example
   dotnet new console

2. Add the .NET/C# Driver to your project as a dependency.

   dotnet add package MongoDB.Driver

Create the query in the Program.cs file.

1. Replace the contents of the Program.cs file with the following code.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   using MongoDB.Bson;
   2
   using MongoDB.Bson.Serialization.Attributes;
   3
   using MongoDB.Bson.Serialization.Conventions;
   4
   using MongoDB.Driver;
   5
   using MongoDB.Driver.Search;
   6
   7
   public class AutocompleteBasicExample
   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.Autocomplete(movie => movie.Title, "ger"), indexName: "autocomplete-tutorial")
   25
               .Project<MovieDocument>(Builders<MovieDocument>.Projection
   26
                   .Include(movie => movie.Title)
   27
                   .Exclude(movie => movie.Id))
   28
               .Limit(20)
   29
               .ToList();
   30
   31
           // print results
   32
           foreach (var movie in results)
   33
           {
   34
               Console.WriteLine(movie.ToJson());
   35
           }
   36
       }
   37
   }
   38
   39
   [BsonIgnoreExtraElements]
   40
   public class MovieDocument
   41
   {
   42
       [BsonIgnoreIfDefault]
   43
       public ObjectId Id { get; set; }
   44
       public string Title { get; set; }
   45
   }

2. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

Compile and run the Program.cs file.

dotnet run basic-autocomplete-example.csproj

{ "title" : "Gertie the Dinosaur" }
{ "title" : "Germany Year Zero" }
{ "title" : "Germany in Autumn" }
{ "title" : "Germany Pale Mother" }
{ "title" : "Gerhard Richter - Painting" }
{ "title" : "Geronimo: An American Legend" }
{ "title" : "How to Live in the German Federal Republic" }
{ "title" : "Geri's Game" }
{ "title" : "The Gerson Miracle" }
{ "title" : "The German Doctor" }
{ "title" : "From Caligari to Hitler: German Cinema in the Age of the Masses" }
{ "title" : "From Caligari to Hitler: German Cinema in the Age of the Masses" }
{ "title" : "Gèraldine" }
{ "title" : "Gervaise" }
{ "title" : "Gertrud" }
{ "title" : "Germinal" }
{ "title" : "Gerry" }
{ "title" : "Gerontophilia" }
{ "title" : "Pionery-geroi" }
{ "title" : "The Good German" }

Set up and initialize the .NET/C# project for the query.

1. Create a new directory called advanced-autocomplete-example and initialize your project with the dotnet new command.

   mkdir advanced-autocomplete-example
   cd advanced-autocomplete-example
   dotnet new console

2. Add the .NET/C# Driver to your project as a dependency.

   dotnet add package MongoDB.Driver

Create the query in the Program.cs file.

1. Replace the contents of the Program.cs file with the following code.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   using MongoDB.Bson;
   2
   using MongoDB.Bson.Serialization.Attributes;
   3
   using MongoDB.Bson.Serialization.Conventions;
   4
   using MongoDB.Driver;
   5
   using MongoDB.Driver.Search;
   6
   7
   public class AutocompleteAdvancedExample
   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, "pri"))
   26
                   .Should(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Plot, "pri"))
   27
                   .MinimumShouldMatch(1),
   28
                   indexName: "autocomplete-tutorial")
   29
               .Project<MovieDocument>(Builders<MovieDocument>.Projection
   30
                   .Include(movie => movie.Plot)
   31
                   .Include(movie => movie.Title)
   32
                   .Exclude(movie => movie.Id))
   33
               .Limit(5)
   34
               .ToList();
   35
   36
           // print results
   37
           foreach (var movie in results)
   38
           {
   39
               Console.WriteLine(movie.ToJson());
   40
           }
   41
       }
   42
   }
   43
   44
   [BsonIgnoreExtraElements]
   45
   public class MovieDocument
   46
   {
   47
       [BsonIgnoreIfDefault]
   48
       public ObjectId Id { get; set; }
   49
       public string Plot { get; set; }
   50
       public string Title { get; set; }
   51
   }

2. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

Compile and run the Program.cs file.

dotnet run advanced-autocomplete-example.csproj

{
  "plot" : "Prison Terminal: The Last Days of Private Jack
  Hall is a moving cinema verite documentary that breaks
  through the walls of one of Americas oldest maximum
  security prisons to tell the story ...",
  "title" : "Prison Terminal: The Last Days of Private Jack Hall"
}
{
  "plot" : "Now settled in Genovia, Princess Mia faces a new
  revelation: she is being primed for an arranged marriage to
  an English suitor.",
  "title" : "The Princess Diaries 2: Royal Engagement"
}
{
  "plot" : "A young fugitive prince and princess must stop a
  villain who unknowingly threatens to destroy the world with
  a special dagger that enables the magic sand inside to
  reverse time.",
  "title" : "Prince of Persia: The Sands of Time"
}
{
  "plot" : "The first wedding anniversary of Princess Odette
  and Prince Derek is distracted by field fires set by
  Knuckles. His master Clavius, wants to conquer the world,
  and he needs to capture a ...",
  "title" : "The Swan Princess: Escape from Castle Mountain"
}
{
  "plot" : "Jane Austen's classic novel about the prejudice
  that occurred between the 19th century classes and the
  pride which would keep lovers apart.",
  "title" : "Pride and Prejudice"
}

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.go.

2. Copy and paste the following code into the autocomplete-query.go file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   package main
   2
   3
   import (
   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
   12
   func 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{{"$search", bson.D{{"index", "autocomplete-tutorial"}, {"autocomplete", bson.D{{"query", "ger"}, {"path", "title"}}}}}}
   25
   	limitStage := bson.D{{"$limit", 20}}
   26
   	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"_id", 0}}}}
   27
   	// run pipeline
   28
   	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
   29
   	if err != nil {
   30
   		panic(err)
   31
   	}
   32
   33
   	// print results
   34
   	var results []bson.D
   35
   	if err = cursor.All(context.TODO(), &results); err != nil {
   36
   		panic(err)
   37
   	}
   38
   	for _, result := range results {
   39
   		fmt.Println(result)
   40
   	}
   41
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   go run autocomplete-query.go

   HIDE OUTPUT

   [{title Gertie the Dinosaur}]
   [{title Germany Year Zero}]
   [{title Germany in Autumn}]
   [{title Germany Pale Mother}]
   [{title Gerhard Richter - Painting}]
   [{title Geronimo: An American Legend}]
   [{title How to Live in the German Federal Republic}]
   [{title Geri's Game}]
   [{title The Gerson Miracle}]
   [{title The German Doctor}]
   [{title From Caligari to Hitler: German Cinema in the Age of the Masses}]
   [{title From Caligari to Hitler: German Cinema in the Age of the Masses}]
   [{title Gèraldine}]
   [{title Gervaise}]
   [{title Gertrud}]
   [{title Germinal}]
   [{title Gerry}]
   [{title Gerontophilia}]
   [{title Pionery-geroi}]
   [{title The Good German}]

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.go.

2. Copy and paste the following code into the autocomplete-query.go file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   package main
   2
   3
   import (
   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
   12
   func 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
   		{"$search", bson.D{
   26
   			{"index", "autocomplete-tutorial"},
   27
   			{"compound", bson.D{
   28
   				{"should", bson.A{
   29
   					bson.D{
   30
   						{"autocomplete", bson.D{{"query", "pri"}, {"path", "title"}}},
   31
   					},
   32
   					bson.D{
   33
   						{"autocomplete", bson.D{{"query", "pri"}, {"path", "plot"}}},
   34
   					},
   35
   				}},
   36
   				{"minimumShouldMatch", 1},
   37
   			}},
   38
   		}},
   39
   	}
   40
   	limitStage := bson.D{{"$limit", 5}}
   41
   	projectStage := bson.D{{"$project", bson.D{{"title", 1}, {"plot", 1}, {"_id", 0}}}}
   42
   	// run pipeline
   43
   	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
   44
   	if err != nil {
   45
   		panic(err)
   46
   	}
   47
   48
   	// print results
   49
   	var results []bson.D
   50
   	if err = cursor.All(context.TODO(), &results); err != nil {
   51
   		panic(err)
   52
   	}
   53
   	for _, result := range results {
   54
   		fmt.Println(result)
   55
   	}
   56
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   go run autocomplete-query.go

   HIDE OUTPUT

   [
    {plot Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...}
    {title Prison Terminal: The Last Days of Private Jack Hall}
   ]
   [
    {plot Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.}
    {title The Princess Diaries 2: Royal Engagement}
   ]
   [
    {plot A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.}
    {title Prince of Persia: The Sands of Time}
   ]
   [
    {plot The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...}
    {title The Swan Princess: Escape from Castle Mountain}
   ]
   [
    {plot Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.}
    {title Pride and Prejudice}
   ]

Ensure that your CLASSPATH contains the following libraries.

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named AutocompleteQuery.java.

2. Copy and paste the following code into the AutocompleteQuery.java file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   import static com.mongodb.client.model.Aggregates.limit;
   2
   import static com.mongodb.client.model.Aggregates.project;
   3
   import static com.mongodb.client.model.Projections.excludeId;
   4
   import static com.mongodb.client.model.Projections.fields;
   5
   import static com.mongodb.client.model.Projections.include;
   6
   import com.mongodb.client.MongoClient;
   7
   import com.mongodb.client.MongoClients;
   8
   import com.mongodb.client.MongoCollection;
   9
   import com.mongodb.client.MongoDatabase;
   10
   import org.bson.Document;
   11
   import java.util.Arrays;
   12
   13
   public 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("$search", 
   26
                   new Document("index", "autocomplete-tutorial")
   27
                   .append("autocomplete", new Document("query", "ger").append("path", "title")));
   28
               // run pipeline and print results
   29
               collection.aggregate(Arrays.asList(agg,
   30
                   limit(20),
   31
                   project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
   32
           }
   33
       }
   34
   }

   Note

   To run the sample code in your Maven environment, add the following above the import statements in your file.

   package com.mongodb.drivers;

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Compile and run AutocompleteQuery.java file.

   javac AutocompleteQuery.java
   java AutocompleteQuery

   HIDE OUTPUT

   {"title": "Gertie the Dinosaur"}
   {"title": "Germany Year Zero"}
   {"title": "Germany in Autumn"}
   {"title": "Germany Pale Mother"}
   {"title": "Gerhard Richter - Painting"}
   {"title": "Geronimo: An American Legend"}
   {"title": "How to Live in the German Federal Republic"}
   {"title": "Geri's Game"}
   {"title": "The Gerson Miracle"}
   {"title": "The German Doctor"}
   {"title": "From Caligari to Hitler: German Cinema in the Age of the Masses"}
   {"title": "From Caligari to Hitler: German Cinema in the Age of the Masses"}
   {"title": "Gèraldine"}
   {"title": "Gervaise"}
   {"title": "Gertrud"}
   {"title": "Germinal"}
   {"title": "Gerry"}
   {"title": "Gerontophilia"}
   {"title": "Pionery-geroi"}
   {"title": "The Good German"}

Ensure that your CLASSPATH contains the following libraries.

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named AutocompleteQuery.java.

2. Copy and paste the following code into the AutocompleteQuery.java file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   import static com.mongodb.client.model.Aggregates.limit;
   2
   import static com.mongodb.client.model.Aggregates.project;
   3
   import static com.mongodb.client.model.Projections.excludeId;
   4
   import static com.mongodb.client.model.Projections.fields;
   5
   import static com.mongodb.client.model.Projections.include;
   6
   import com.mongodb.client.MongoClient;
   7
   import com.mongodb.client.MongoClients;
   8
   import com.mongodb.client.MongoCollection;
   9
   import com.mongodb.client.MongoDatabase;
   10
   import org.bson.Document;
   11
   import java.util.Arrays;
   12
   13
   public 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("$search", 
   26
                   new Document("index", "autocomplete-tutorial")
   27
                   .append("compound", 
   28
                   new Document("should", Arrays.asList(new Document("autocomplete", 
   29
                                   new Document("query", "pri")
   30
                                           .append("path", "title")), 
   31
                                   new Document("autocomplete", 
   32
                                   new Document("query", "pri")
   33
                                           .append("path", "plot"))))
   34
                               .append("minimumShouldMatch", 1L)));
   35
               // run pipeline and print results
   36
               collection.aggregate(Arrays.asList(agg,
   37
                   limit(5),
   38
                   project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
   39
           }
   40
       }
   41
   }

   Note

   To run the sample code in your Maven environment, add the following above the import statements in your file.

   package com.mongodb.drivers;

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Compile and run AutocompleteQuery.java file.

   javac AutocompleteQuery.java
   java AutocompleteQuery

   HIDE OUTPUT

   {
     plot: 'Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...',
     title: 'Prison Terminal: The Last Days of Private Jack Hall'
   }
   {
     plot: 'Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.',
     title: 'The Princess Diaries 2: Royal Engagement'
   }
   {
     plot: 'A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.',
     title: 'Prince of Persia: The Sands of Time'
   }
   {
     plot: 'The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...',
     title: 'The Swan Princess: Escape from Castle Mountain'
   }
   {
     plot: "Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.",
     title: 'Pride and Prejudice'
   }

Ensure that you add the following dependency to your project.

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named AutocompleteQuery.kt.

2. Copy and paste the following code into the AutocompleteQuery.kt file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   import com.mongodb.client.model.Aggregates.limit
   2
   import com.mongodb.client.model.Aggregates.project
   3
   import com.mongodb.client.model.Projections.*
   4
   import com.mongodb.kotlin.client.coroutine.MongoClient
   5
   import kotlinx.coroutines.runBlocking
   6
   import org.bson.Document
   7
   8
   fun main() {
   9
       // connect to your Atlas cluster
   10
       val uri = "<connection-string>"
   11
       val mongoClient = MongoClient.create(uri)
   12
   13
       // set namespace
   14
       val database = mongoClient.getDatabase("sample_mflix")
   15
       val collection = database.getCollection<Document>("movies")
   16
   17
       runBlocking {
   18
           // define pipeline
   19
           val agg = Document(
   20
               "\$search",
   21
               Document("index", "autocomplete-tutorial")
   22
                   .append("autocomplete", Document("query", "ger").append("path", "title"))
   23
           )
   24
           
   25
           // run pipeline and print results
   26
           val resultsFlow = collection.aggregate<Document>(
   27
               listOf(
   28
                   agg,
   29
                   limit(20),
   30
                   project(fields(excludeId(), include("title")))
   31
               )
   32
           )
   33
           resultsFlow.collect { println(it) }
   34
       }
   35
       mongoClient.close()
   36
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the AutocompleteQuery.kt file.

   When you run the AutocompleteQuery.kt program in your IDE, it prints the following documents:

   Document{{title=Germany in Autumn}}
   Document{{title=Germany Pale Mother}}
   Document{{title=Gertie the Dinosaur}}
   Document{{title=Geronimo: An American Legend}}
   Document{{title=How to Live in the German Federal Republic}}
   Document{{title=Geri's Game}}
   Document{{title=The Gerson Miracle}}
   Document{{title=The German Doctor}}
   Document{{title=From Caligari to Hitler: German Cinema in the Age of the Masses}}
   Document{{title=From Caligari to Hitler: German Cinema in the Age of the Masses}}
   Document{{title=Gervaise}}
   Document{{title=Germinal}}
   Document{{title=Gerry}}
   Document{{title=Gèraldine}}
   Document{{title=Pionery-geroi}}
   Document{{title=Rece do gèry}}
   Document{{title=The Good German}}
   Document{{title=Berlin Is in Germany}}
   Document{{title=Almanya: Welcome to Germany}}
   Document{{title=Hitler: A Film from Germany}}

Ensure that you add the following dependency to your project.

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named AutocompleteQuery.kt.

2. Copy and paste the following code into the AutocompleteQuery.kt file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   import com.mongodb.client.model.Aggregates.limit
   2
   import com.mongodb.client.model.Aggregates.project
   3
   import com.mongodb.client.model.Projections.*
   4
   import com.mongodb.kotlin.client.coroutine.MongoClient
   5
   import kotlinx.coroutines.runBlocking
   6
   import org.bson.Document
   7
   8
   fun main() {
   9
       // connect to your Atlas cluster
   10
       val uri = "<connection-string>"
   11
       val mongoClient = MongoClient.create(uri)
   12
   13
       // set namespace
   14
       val database = mongoClient.getDatabase("sample_mflix")
   15
       val collection = database.getCollection<Document>("movies")
   16
   17
       runBlocking {
   18
           // define pipeline
   19
           val agg = Document(
   20
               "\$search",
   21
               Document("index", "autocomplete-tutorial")
   22
                   .append(
   23
                       "compound",
   24
                       Document(
   25
                           "should", listOf(
   26
                               Document(
   27
                                   "autocomplete",
   28
                                   Document("query", "pri")
   29
                                       .append("path", "title")
   30
                               ),
   31
                               Document(
   32
                                   "autocomplete",
   33
                                   Document("query", "pri")
   34
                                       .append("path", "plot")
   35
                               )
   36
                           )
   37
                       )
   38
                           .append("minimumShouldMatch", 1L)
   39
                   )
   40
           )
   41
   42
           // run pipeline and print results
   43
           val resultsFlow = collection.aggregate<Document>(
   44
               listOf(
   45
                   agg,
   46
                   limit(5),
   47
                   project(fields(excludeId(), include("title", "plot")))
   48
               )
   49
           )
   50
           resultsFlow.collect { println(it) }
   51
       }
   52
       mongoClient.close()
   53
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the AutocompleteQuery.kt file.

   When you run the AutocompleteQuery.kt program in your IDE, it prints the following documents:

   Document{{plot=Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ..., title=Prison Terminal: The Last Days of Private Jack Hall}}
   Document{{plot=Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor., title=The Princess Diaries 2: Royal Engagement}}
   Document{{plot=A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time., title=Prince of Persia: The Sands of Time}}
   Document{{plot=The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ..., title=The Swan Princess: Escape from Castle Mountain}}
   Document{{plot=Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart., title=Pride and Prejudice}}

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.js.

2. Copy and paste the following code into the autocomplete-query.js file.

   The code example performs the following tasks:

   • Imports mongodb, MongoDB's Node.js driver.

   • Creates an instance of the MongoClient class to establish a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   const { MongoClient } = require("mongodb");
   2
   3
   // connect to your Atlas cluster
   4
   const uri =
   5
       "<connection-string>";
   6
   7
   const client = new MongoClient(uri);
   8
   9
   async 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
               {$search: {index: "autocomplete-tutorial", autocomplete: {query: "ger", path: "title"}}},
   20
               {$limit: 20},
   21
               {$project: {_id: 0,title: 1}}
   22
           ];
   23
           // run pipeline
   24
           const result = await coll.aggregate(agg);
   25
   26
           // print results
   27
           await result.forEach((doc) => console.log(doc));
   28
       } finally {
   29
           await client.close();
   30
       }
   31
   }
   32
   run().catch(console.dir);

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   node autocompelte-query.js

   HIDE OUTPUT

   { title: 'Gertie the Dinosaur' }
   { title: 'Germany Year Zero' }
   { title: 'Germany in Autumn' }
   { title: 'Germany Pale Mother' }
   { title: 'Gerhard Richter - Painting' }
   { title: 'Geronimo: An American Legend' }
   { title: 'How to Live in the German Federal Republic' }
   { title: "Geri's Game" }
   { title: 'The Gerson Miracle' }
   { title: 'The German Doctor' }
   { title: 'From Caligari to Hitler: German Cinema in the Age of the Masses' }
   { title: 'From Caligari to Hitler: German Cinema in the Age of the Masses' }
   { title: 'Gèraldine' }
   { title: 'Gervaise' }
   { title: 'Gertrud' }
   { title: 'Germinal' }
   { title: 'Gerry' }
   { title: 'Gerontophilia' }
   { title: 'Pionery-geroi' }
   { title: 'The Good German' }

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.js.

2. Copy and paste the following code into the autocomplete-query.js file.

   The code example performs the following tasks:

   • Imports mongodb, MongoDB's Node.js driver.

   • Creates an instance of the MongoClient class to establish a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   const { MongoClient } = require("mongodb");
   2
   3
   // connect to your Atlas cluster
   4
   const uri =
   5
       "<connection-string>";
   6
   7
   const client = new MongoClient(uri);
   8
   9
   async 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
                   '$search': {
   21
                       'index': 'autocomplete-tutorial',
   22
                       'compound': {
   23
                           'should': [
   24
                               {
   25
                                   'autocomplete': {
   26
                                       'query': 'pri', 
   27
                                       'path': 'title'
   28
                                   }
   29
                               }, 
   30
                               {
   31
                                   'autocomplete': {
   32
                                       'query': 'pri', 
   33
                                       'path': 'plot'
   34
                                   }
   35
                               }
   36
                           ], 
   37
                           'minimumShouldMatch': 1
   38
                       }
   39
                   }
   40
               }, 
   41
               {
   42
                   '$limit': 5
   43
               }, 
   44
               {
   45
                   '$project': {
   46
                       '_id': 0, 
   47
                       'title': 1, 
   48
                       'plot': 1
   49
                   }
   50
               }
   51
           ];
   52
           // run pipelines
   53
           const result = await coll.aggregate(agg);
   54
   55
           // print results
   56
           await result.forEach((doc) => console.log(doc));
   57
       } finally {
   58
           await client.close();
   59
       }
   60
   }
   61
   run().catch(console.dir);

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   node autocomplete-query.js

   HIDE OUTPUT

   {
     plot: 'Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...',
     title: 'Prison Terminal: The Last Days of Private Jack Hall'
   }
   {
     plot: 'Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.',
     title: 'The Princess Diaries 2: Royal Engagement'
   }
   {
     plot: 'A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.',
     title: 'Prince of Persia: The Sands of Time'
   }
   {
     plot: 'The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...',
     title: 'The Swan Princess: Escape from Castle Mountain'
   }
   {
     plot: "Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.",
     title: 'Pride and Prejudice'
   }

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.py.

2. Copy and paste the following code into the autocomplete.py file.

   The following code example:

   • Imports pymongo, MongoDB's Python driver.

   • Creates an instance of the MongoClient class to establish a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title field using the autocomplete operator for words that begin with the characters ger

     • $limit stage to limit the output to 20 results

     • $project stage to exclude all fields except title

   • Iterates over the cursor to print the documents that match the query.

   1
   import pymongo
   2
   3
   # connect to your Atlas cluster
   4
   client = pymongo.MongoClient('<connection-string>')
   5
   6
   # define pipeline
   7
   pipeline = [
   8
       {"$search": {"index": "autocomplete-tutorial", "autocomplete": {"query": "ger", "path": "title"}}},
   9
       {"$limit": 20},
   10
       {"$project": {"_id": 0, "title": 1}},
   11
   ]
   12
   # run pipeline
   13
   result = client["sample_mflix"]["movies"].aggregate(pipeline)
   14
   15
   # print results
   16
   for i in result:
   17
       print(i)

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   python autocomplete-query.py

   HIDE OUTPUT

   {'title': 'Gertie the Dinosaur'}
   {'title': 'Germany Year Zero'}
   {'title': 'Germany in Autumn'}
   {'title': 'Germany Pale Mother'}
   {'title': 'Gerhard Richter - Painting'}
   {'title': 'Geronimo: An American Legend'}
   {'title': 'How to Live in the German Federal Republic'}
   {'title': "Geri's Game"}
   {'title': 'The Gerson Miracle'}
   {'title': 'The German Doctor'}
   {'title': 'From Caligari to Hitler: German Cinema in the Age of the Masses'}
   {'title': 'From Caligari to Hitler: German Cinema in the Age of the Masses'}
   {'title': 'G\xe8raldine'}
   {'title': 'Gervaise'}
   {'title': 'Gertrud'}
   {'title': 'Germinal'}
   {'title': 'Gerry'}
   {'title': 'Gerontophilia'}
   {'title': 'Pionery-geroi'}
   {'title': 'The Good German'}

Run an Atlas Search query with the autocomplete operator on the movies collection.

1. Create a file named autocomplete-query.py.

2. Copy and paste the following code into the autocomplete.py file.

   The following code example:

   • Imports pymongo, MongoDB's Python driver, and the dns module, which is required to connect pymongo to Atlas using a DNS seed list connection string.

   • Creates an instance of the MongoClient class to establish a connection to your Atlas cluster.

   • Uses the following pipeline stages:

     • $search to search the title and plot fields using the autocomplete operator for words that begin with the characters pri

     • $limit stage to limit the output to 5 results

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

   • Iterates over the cursor to print the documents that match the query.

   1
   import pymongo
   2
   3
   # connect to your Atlas cluster
   4
   client = pymongo.MongoClient('<connection-string>')
   5
   6
   # define pipeline
   7
   pipeline = [
   8
       {
   9
           '$search': {
   10
               'index': 'autocomplete-tutorial',
   11
               'compound': {
   12
                   'should': [
   13
                       {
   14
                           'autocomplete': {
   15
                               'query': 'pri', 
   16
                               'path': 'title'
   17
                           }
   18
                       }, {
   19
                           'autocomplete': {
   20
                               'query': 'pri', 
   21
                               'path': 'plot'
   22
                           }
   23
                       }
   24
                   ], 
   25
                   'minimumShouldMatch': 1
   26
               }
   27
           }
   28
       }, 
   29
       {
   30
           '$limit': 5
   31
       }, 
   32
       {
   33
           '$project': {
   34
               '_id': 0, 'title': 1, 'plot': 1
   35
           }
   36
       }
   37
   ]
   38
   # run pipeline
   39
   result = client["sample_mflix"]["movies"].aggregate(pipeline)
   40
   41
   # print results
   42
   for i in result:
   43
       print(i)

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   python autocomplete-query.py

   HIDE OUTPUT

   {
     plot: 'Prison Terminal: The Last Days of Private Jack Hall is a moving cinema verite documentary that breaks through the walls of one of Americas oldest maximum security prisons to tell the story ...',
     title: 'Prison Terminal: The Last Days of Private Jack Hall'
   }
   {
     plot: 'Now settled in Genovia, Princess Mia faces a new revelation: she is being primed for an arranged marriage to an English suitor.',
     title: 'The Princess Diaries 2: Royal Engagement'
   }
   {
     plot: 'A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.',
     title: 'Prince of Persia: The Sands of Time'
   }
   {
     plot: 'The first wedding anniversary of Princess Odette and Prince Derek is distracted by field fires set by Knuckles. His master Clavius, wants to conquer the world, and he needs to capture a ...',
     title: 'The Swan Princess: Escape from Castle Mountain'
   }
   {
     plot: "Jane Austen's classic novel about the prejudice that occurred between the 19th century classes and the pride which would keep lovers apart.",
     title: 'Pride and Prejudice'
   }