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$project (aggregation stage)

Definition

$project: Passes along the documents with the requested fields to the next stage in the pipeline. The specified fields can be existing fields from the input documents or newly computed fields.

Compatibility

You can use $project for deployments hosted in the following environments:

MongoDB Atlas: The fully managed service for MongoDB deployments in the cloud

MongoDB Enterprise: The subscription-based, self-managed version of MongoDB
MongoDB Community: The source-available, free-to-use, and self-managed version of MongoDB

Syntax

The $project stage has the following prototype form:

{ $project: { <specification(s)> } }

The $project takes a document that can specify the inclusion of fields, the suppression of the _id field, the addition of new fields, and the resetting of the values of existing fields. Alternatively, you may specify the exclusion of fields.

The $project specifications have the following forms:

Form	Description
`<field>: <1 or true>`	Specifies the inclusion of a field. Non-zero integers are also treated as `true`.
`_id: <0 or false>`	Specifies the suppression of the `_id` field. To exclude a field conditionally, use the `REMOVE` variable instead. For details, see Exclude Fields Conditionally.
`<field>: <expression>`	Adds a new field or resets the value of an existing field. If the expression evaluates to `$$REMOVE`, the field is excluded in the output. For details, see Exclude Fields Conditionally.
`<field>: <0 or false>`	Specifies the exclusion of a field. To exclude a field conditionally, use the `REMOVE` variable instead. For details, see Exclude Fields Conditionally. If you specify the exclusion of a field other than `_id`, you cannot employ any other `$project` specification forms. This restriction does not apply to conditionally exclusion of a field using the `REMOVE` variable. To exclude fields, you can also use the `$unset` stage.

Behavior

Include Fields

The _id field is, by default, included in the output documents. To include any other fields from the input documents in the output documents, you must explicitly specify the inclusion in $project.
If you specify an inclusion of a field that does not exist in the document, $project ignores that field inclusion and does not add the field to the document.

`_id` Field

By default, the _id field is included in the output documents. To exclude the _id field from the output documents, you must explicitly specify the suppression of the _id field in $project.

Exclude Fields

If you specify the exclusion of a field or fields, all other fields are returned in the output documents.

{ $project: { "<field1>": 0, "<field2>": 0, ... } } // Return all but the specified fields

If you specify the exclusion of a field other than _id, you cannot employ any other $project specification forms: i.e. if you exclude fields, you cannot also specify the inclusion of fields, reset the value of existing fields, or add new fields. This restriction does not apply to conditional exclusion of a field using the REMOVE variable.

See also the $unset stage to exclude fields.

Exclude Fields Conditionally

You can use the variable REMOVE in aggregation expressions to conditionally suppress a field. For an example, see Conditionally Exclude Fields.

Add New Fields or Reset Existing Fields

Note

MongoDB also provides $addFields to add new fields to the documents.

To add a new field or to reset the value of an existing field, specify the field name and set its value to some expression. For more information on expressions, see Expressions.

Literal Values

To set a field value directly to a numeric or boolean literal, as opposed to setting the field to an expression that resolves to a literal, use the $literal operator. Otherwise, $project treats the numeric or boolean literal as a flag for including or excluding the field.

Field Rename

By specifying a new field and setting its value to the field path of an existing field, you can effectively rename a field.

New Array Fields

The $project stage supports using the square brackets [] to directly create new array fields. If you specify array fields that do not exist in a document, the operation substitutes null as the value for that field. For an example, see Project New Array Fields.

You cannot use an array index with the $project stage. For more information, see example-project-array-indexes.

Embedded Document Fields

When projecting or adding/resetting a field within an embedded document, you can either use dot notation, as in

"contact.address.country": <1 or 0 or expression>

Or you can nest the fields:

contact: { address: { country: <1 or 0 or expression> } }

When nesting the fields, you cannot use dot notation inside the embedded document to specify the field, e.g. contact: { "address.country": <1 or 0 or expression> } is invalid.

Path Collision Errors in Embedded Fields

You cannot specify both an embedded document and a field within that embedded document in the same projection.

The following $project stage fails with a Path collision error because it attempts to project both the embedded contact document and the contact.address.country field:

{ $project: { contact: 1, "contact.address.country": 1 } }

The error occurs regardless of the order in which the parent document and embedded field are specified. The following $project fails with the same error:

{ $project: { "contact.address.country": 1, contact: 1 } }

`$project` Stage Placement

When you use a $project stage it should typically be the last stage in your pipeline, used to specify which fields to return to the client.

Using a $project stage at the beginning or middle of a pipeline to reduce the number of fields passed to subsequent pipeline stages is unlikely to improve performance, because the database performs this optimization automatically.

Considerations

Empty Specification

MongoDB returns an error if the $project stage is passed an empty document.

For example, running the following pipeline produces an error:

db.myCollection.aggregate( [ {
   $project: { }
} ] )

Array Index

You cannot use an array index with the $project stage. For more information, see example-project-array-indexes.

Examples

The examples on this page use data from the sample_mflix sample dataset. For details on how to load this dataset into your self-managed MongoDB deployment, see Load the sample dataset. If you made any modifications to the sample databases, you may need to drop and recreate the databases to run the examples on this page.

Include Specific Fields in Output Documents

The following $project stage includes only the _id, title, and rated fields:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { title: 1, rated: 1 } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    title: 'The Great Train Robbery',
    rated: 'TV-G'
  }
]

Suppress `_id` Field in the Output Documents

MongoDB includes the _id field by default. To exclude the _id field from the $project stage, set the _id field to 0 in the projection document.

The following $project stage excludes the _id field but includes the title and rated fields:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project : { _id: 0, title : 1, rated : 1 } },
   { $limit: 1 }
] )

[ { title: 'The Great Train Robbery', rated: 'TV-G' } ]

Exclude Fields from Output Documents

The following $project stage excludes the rated field from the output:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project : { "rated": 0 } },
   { $limit: 1 }
] )

Alternatively, use the $unset stage to exclude fields.

Exclude Fields from Embedded Documents

The following $project stage excludes the imdb.id and type fields from the output:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { "imdb.id": 0, "type": 0 } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    plot: 'A group of bandits stage a brazen train hold-up, only to find a determined posse hot on their heels.',
    genres: [ 'Short', 'Western' ],
    runtime: 11,
    cast: [
      'A.C. Abadie',
      "Gilbert M. 'Broncho Billy' Anderson",
      'George Barnes',
      'Justus D. Barnes'
    ],
    poster: 'https://m.media-amazon.com/images/M/MV5BMTU3NjE5NzYtYTYyNS00MDVmLWIwYjgtMmYwYWIxZDYyNzU2XkEyXkFqcGdeQXVyNzQzNzQxNzI@._V1_SY1000_SX677_AL_.jpg',
    title: 'The Great Train Robbery',
    fullplot: "Among the earliest existing films in American cinema - notable as the first film that presented a narrative story to tell - it depicts a group of cowboy outlaws who hold up a train and rob the passengers. They are then pursued by a Sheriff's posse. Several scenes have color included - all hand tinted.",
    languages: [ 'English' ],
    released: ISODate('1903-12-01T00:00:00.000Z'),
    directors: [ 'Edwin S. Porter' ],
    rated: 'TV-G',
    awards: { wins: 1, nominations: 0, text: '1 win.' },
    lastupdated: '2015-08-13 00:27:59.177000000',
    year: 1903,
    imdb: { rating: 7.4, votes: 9847 },
    countries: [ 'USA' ],
    tomatoes: {
      viewer: { rating: 3.7, numReviews: 2559, meter: 75 },
      fresh: 6,
      critic: { rating: 7.6, numReviews: 6, meter: 100 },
      rotten: 0,
      lastUpdated: ISODate('2015-08-08T19:16:10.000Z')
    },
    num_mflix_comments: 0
  }
]

Alternatively, you can nest the exclusion specification in a document:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { "imdb": { "id": 0 }, "type" : 0 } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    plot: 'A group of bandits stage a brazen train hold-up, only to find a determined posse hot on their heels.',
    genres: [ 'Short', 'Western' ],
    runtime: 11,
    cast: [
      'A.C. Abadie',
      "Gilbert M. 'Broncho Billy' Anderson",
      'George Barnes',
      'Justus D. Barnes'
    ],
    poster: 'https://m.media-amazon.com/images/M/MV5BMTU3NjE5NzYtYTYyNS00MDVmLWIwYjgtMmYwYWIxZDYyNzU2XkEyXkFqcGdeQXVyNzQzNzQxNzI@._V1_SY1000_SX677_AL_.jpg',
    title: 'The Great Train Robbery',
    fullplot: "Among the earliest existing films in American cinema - notable as the first film that presented a narrative story to tell - it depicts a group of cowboy outlaws who hold up a train and rob the passengers. They are then pursued by a Sheriff's posse. Several scenes have color included - all hand tinted.",
    languages: [ 'English' ],
    released: ISODate('1903-12-01T00:00:00.000Z'),
    directors: [ 'Edwin S. Porter' ],
    rated: 'TV-G',
    awards: { wins: 1, nominations: 0, text: '1 win.' },
    lastupdated: '2015-08-13 00:27:59.177000000',
    year: 1903,
    imdb: { rating: 7.4, votes: 9847 },
    countries: [ 'USA' ],
    tomatoes: {
      viewer: { rating: 3.7, numReviews: 2559, meter: 75 },
      fresh: 6,
      critic: { rating: 7.6, numReviews: 6, meter: 100 },
      rotten: 0,
      lastUpdated: ISODate('2015-08-08T19:16:10.000Z')
    },
    num_mflix_comments: 0
  }
]

Alternatively, use the $unset stage to exclude fields.

Conditionally Exclude Fields

You can use the variable REMOVE in aggregation expressions to conditionally suppress a field.

The following $project stage uses the REMOVE variable to exclude the imdb.votes field if it equals null or is an empty string:

db.movies.aggregate( [
   { $match: { title: "This Is Spinal Tap" } },
   {
      $project: {
         title: 1,
         "imdb.rating": 1,
         "imdb.id": 1,
         "imdb.votes": {
            $cond: {
               if: { $in: [ "$imdb.votes", [ null, "" ] ] },
               then: "$$REMOVE",
               else: "$imdb.votes"
            }
         }
      }
   },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1398f29313caabce94a3'),
    title: 'This Is Spinal Tap',
    imdb: { rating: 8, id: 88258 }
  }
]

Because imdb.votes is an empty string for this document, MongoDB excludes the field from the output.

Tip

Comparison with $addFields

You can use either the $addFields or $project stage to remove document fields. The best approach depends on your pipeline and how much of the original document you want to retain.

To see an example using $$REMOVE in an $addFields stage, see Remove Fields.

Include Specific Fields from Embedded Documents

Documents in the movies collection contain an embedded imdb document with the rating, votes, and id fields. To include only the rating field from the imdb document, use dot notation:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { "imdb.rating": 1 } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    imdb: { rating: 7.4 }
  }
]

Or, nest the inclusion specification in a document:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { imdb: { rating: 1 } } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    imdb: { rating: 7.4 }
  }
]

Include Computed Fields

The following $project stage adds the leadActor and releaseYear fields:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   {
      $project: {
         title: 1,
         leadActor: { $arrayElemAt: [ "$cast", 0 ] },
         releaseYear: "$year"
      }
   },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    title: 'The Great Train Robbery',
    leadActor: 'A.C. Abadie',
    releaseYear: 1903
  }
]

Project New Array Fields

The following operation projects the year and runtime fields as elements in a new myArray field:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { myArray: [ "$year", "$runtime" ] } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    myArray: [ 1903, 11 ]
  }
]

If the array specification includes fields that are non-existent in a document, the operation substitutes null as the value for that field.

For example, given the same document as above, the following operation projects the fields year, runtime, and a non-existing field $someField as elements in a new field myArray:

db.movies.aggregate( [
   { $match: { title: "The Great Train Robbery" } },
   { $project: { myArray: [ "$year", "$runtime", "$someField" ] } },
   { $limit: 1 }
] )

[
  {
    _id: ObjectId('573a1390f29313caabcd42e8'),
    myArray: [ 1903, 11, null ]
  }
]

The C# examples on this page use the sample_mflix database from the Atlas sample datasets. To learn how to create a free MongoDB Atlas cluster and load the sample datasets, see Get Started in the MongoDB .NET/C# Driver documentation.

The following Movie and ImdbData classes model the documents in the sample_mflix.movies collection:

public class Movie
{
    public ObjectId Id { get; set; }
    public string Title { get; set; }
    public List<string> Genres { get; set; }
    
    public List<string> Directors { get; set; }
    
    public List<string> Writers { get; set; }
    public string Type { get; set; }
    public string Plot { get; set; }
    
    public ImdbData Imdb { get; set; }
    
    public List<string> Cast { get; set; }
}

public class ImdbData
{
    public string Id { get; set; }
    public int Votes { get; set; }
    public float Rating { get; set; }
}

Note

ConventionPack for Pascal Case

The C# classes on this page use Pascal case for their property names, but the field names in the MongoDB collection use camel case. To account for this difference, you can use the following code to register a ConventionPack when your application starts:

var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

To use the MongoDB .NET/C# driver to add a $project stage to an aggregation pipeline, call the Project() method on a PipelineDefinition object and pass a ProjectionDefinitionBuilder<TDocument> object. TDocument is the class that represents the documents in your collection.

The following sections show the different ways that you can customize the output documents of the $project stage.

Include Specific Fields in Output Documents

To include specific fields when using the .NET/C# driver, call the Include() method on the projection builder. You can chain Include() calls to include multiple fields.

The following code example produces a document that includes only the _id, plot, and title fields:

var pipeline = new EmptyPipelineDefinition<Movie> ()
    .Project(
        Builders<Movie>.Projection
            .Include(m => m.Title)
            .Include(m => m.Plot)
    );
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline returns the following document:

{
  "_id" : { "$oid" : "573a1390f29313caabcd42e8" },
  "plot" : "A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.",
  "title" : "The Great Train Robbery"
}

Exclude Fields from Output Documents

To exclude a field from the result documents when using the .NET/C# driver, call the Exclude() method on the projection builder. You can chain Exclude() calls to exclude multiple fields.

The following code example produces a document that excludes the Type field:

var pipeline = new EmptyPipelineDefinition<Movie>()
    .Project(
        Builders<Movie>.Projection
            .Exclude(m => m.Type)
    );
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

By default, result documents always include the _id field. The following code example produces a document that excludes the _id field but includes the plot and title fields:

var pipeline = new EmptyPipelineDefinition<Movie> ()
    .Project(
        Builders<Movie>.Projection
            .Exclude(m => m.Id)
            .Include(m => m.Title)
            .Include(m => m.Plot)
    );
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline results in the following document:

{
  "plot" : "A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.",
  "title" : "The Great Train Robbery"
}

Exclude Fields from Embedded Documents

To exclude a field in an embedded document when using the .NET/C# driver, call the Exclude() method on the projection builder and pass the path to the corresponding class property. You can chain Exclude() calls to exclude multiple fields.

The following code example produces a document that excludes the imdb.id and type fields:

var pipeline = new EmptyPipelineDefinition<Movie> ()
    .Project(
        Builders<Movie>.Projection
            .Exclude("Imdb.id")
            .Exclude(m => m.Type)
    );
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline results in the following output:

{
  "plot" : "A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.",
  "title" : "The Great Train Robbery",
  ...
  "imdb" : { "rating" : 7.4000000000000004, "votes" : 9847 }
}

Note

Use Strings for Embedded ID Fields

To project an ID field in an embedded document, specify the field name as a string, not a lambda expression.

Conditionally Exclude Fields

You can use the variable REMOVE in aggregation expressions to conditionally suppress a field:

var stage = new BsonDocument
{
    { "title", 1 },
    { "imdb.id", 1 },
    { "imdb.rating", 1 },
    {
        "imdb.votes", new BsonDocument("$cond", new BsonDocument
        {
            { "if", new BsonDocument("$eq", new BsonArray { "", "$imdb.votes" }) },
            { "then", "$$REMOVE" },
            { "else", "$imdb.votes" }
        })
    }
};
var pipeline = new EmptyPipelineDefinition<Movie>()
    .Project(stage)
    .Sample(1);
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

Note

No Builder for Conditional Exclusion

The preceding example uses BsonDocument objects because the .NET/C# driver doesn't provide a builder to conditionally exclude fields. Other MongoDB language drivers might support this feature. See the MongoDB driver documentation for more information.

If the sampled document contains the imdb.votes field, the pipeline returns a document similar to the following:

{
  "_id" : { "$oid" : "573a1390f29313caabcd42e8" },
  "title" : "The Great Train Robbery",
  "imdb" : { "rating" : 7.4000000000000004, "id" : 439, "votes" : 9847 }
}

If the document doesn't contain the imdb.votes field, the pipeline returns a document similar to the following:

{
  "_id" : { "$oid" : "573a1398f29313caabce94a3" },
  "title" : "This Is Spinal Tap",
 "imdb" : { "rating" : 8.0, "id" : 88258 }
}

Include Computed Fields

To include computed fields in the result documents when using the .NET/C# driver, call the Expression() method on the projection builder and pass an expression that includes the computed fields. For added type safety, you can define a model class for the result documents, like the following ProjectedMovie class:

public class ProjectedMovie
{
    public ObjectId Id { get; set; }
    public string Title { get; set; }
    
    public string LeadActor { get; set; }
    
    public List<string> Crew { get; set; }
}

The following code example produces a document that includes multiple computed fields:

var pipeline = new EmptyPipelineDefinition<Movie>()
    .Project(
        Builders<Movie>
            .Projection
            .Expression(m => new ProjectedMovie
            {
                Id = m.Id,
                Title = m.Title,
                LeadActor = m.Cast[0],
            })
    );
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline results in the following document:

{
  "_id" : { "$oid" : "573a1390f29313caabcd42e8" },
  "title" : "The Great Train Robbery",
  "leadActor" : "A.C. Abadie",
  ...
}

Project New Array Fields

To project new array fields in the result documents when using the .NET/C# driver, call the Expression() method on the projection builder and pass an expression that includes the new array fields. For added type safety, you can define a model class for the result documents, like the following ProjectedMovie class:

public class ProjectedMovie
{
    public ObjectId Id { get; set; }
    public string Title { get; set; }
    
    public string LeadActor { get; set; }
    
    public List<string> Crew { get; set; }
}

The following code example produces documents that include a new array field, crew, which contains values from the directors and writers fields:

var pipeline = new EmptyPipelineDefinition<Movie> ()
    .Project(
        Builders<Movie>
            .Projection
            .Expression(m => new ProjectedMovie
                {
                    Id = m.Id,
                    Title = m.Title,
                    LeadActor = m.Cast[0],
                    Crew = m.Directors.Concat(m.Writers).ToList()
                }
            )
    )
    .Sample(1);
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline returns a document similar to the following:

{
  "_id" : { "$oid" : "573a1395f29313caabce2297" },
  "title" : "The Chalk Garden",
  "leadActor" : "Deborah Kerr",
  "crew" : ["Ronald Neame", "John Michael Hayes (screenplay)", "Enid Bagnold (from the play by)"]
}

If the array specification includes fields that are non-existent in a document, the pipeline substitutes null as the value for that field. For example, the following code example projects the fields directors, writers, and a non-existent field, makeupArtists, as elements in a new field named crew:

var stage = new BsonDocument
{
    { "crew", new BsonArray { "$directors", "$writers", "$makeupArtists" } }
};
var pipeline = new EmptyPipelineDefinition<Movie>()
    .Project(stage)
    .Sample(1);
var result = movieCollection.Aggregate(pipeline).FirstOrDefault();

The pipeline returns a document similar to the following:

{
  "_id" : { "$oid" : "573a1399f29313caabced0d9" },
  "crew" : [["Bill Kroyer"], ["Jim Cox (screenplay)", "Diana Young (original stories)"], null]
}

Note

Builders Class Prevents Missing Fields

The preceding example uses BsonDocument objects because the .NET/C# driver raises a compile-time error if you try to use builders to add a missing field to an array. Other MongoDB language drivers might support this feature. See the MongoDB driver documentation for more information.

The Node.js examples on this page use the sample_mflix database from the Atlas sample datasets. To learn how to create a free MongoDB Atlas cluster and load the sample datasets, see Get Started in the MongoDB Node.js driver documentation.

To use the MongoDB Node.js driver to add a $project stage to an aggregation pipeline, use the $project operator in a pipeline object.

The following sections show how to customize the output documents of the $project stage.

Include Specific Fields in Output Documents

To include specific fields, set the value of the field to 1 in the $project stage.

The following example returns documents that include only the _id, plot, and title fields:

const pipeline = [
  {
    $project: {
      title: 1, 
      plot: 1
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  _id: new ObjectId('573a1390f29313caabcd42e8'),
  plot: 'A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.',
  title: 'The Great Train Robbery'
}

Exclude Fields from Output Documents

To exclude specific fields, set the value of the field to 0 in the $project stage.

The following example returns documents that exclude the type field:

const pipeline = [
  {
    $project: {
      type: 0
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

By default, result documents always include the _id field. The following example returns documents that exclude the _id field but include the plot and title fields:

const pipeline = [
  {
    $project: {
      _id: 0, 
      title: 1,
      plot: 1 
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  plot: 'A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.',
  title: 'The Great Train Robbery'
}

Exclude Fields from Embedded Documents

To exclude a field in an embedded document, set value of the field path to 0 in the $project stage.

Note

Use Strings for Embedded Fields

To project a field in an embedded document, specify the field path as a string.

The following example returns documents that exclude the imdb.id and type fields:

const pipeline = [
  {
    $project: {
      "imdb.id": 0, 
      type: 0
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  plot: 'A group of bandits stage a brazen train hold-up, only to find a
            determined posse hot on their heels.',
  title: 'The Great Train Robbery',
  imdb: { rating: 7.4000000000000004, votes: 9847 }
}

Conditionally Exclude Fields

To conditionally exclude a field, assign conditional logic that includes the variable REMOVE to the field name.

const pipeline = [
  {
    $project: {
      title: 1,
      "imdb.id": 1, 
      "imdb.rating": 1,
      "imdb.votes": {
        $cond: {
          if: { $eq: ["$imdb.votes", ""] },
          then: "$REMOVE",
          else: "$imdb.votes"
        }
      }
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

If a document contains the imdb.votes field, the pipeline returns documents that resemble the following example output:

{
  _id: new ObjectId('573a1390f29313caabcd42e8'),
  title: 'The Great Train Robbery',
  imdb: { rating : 7.4000000000000004, id: 439, votes: 9847 }
}

If a document doesn't contain the imdb.votes field, the pipeline returns documents that resemble the following example output:

{
  _id: new ObjectId('573a1390f29313caabcd42e8'),
  title: 'This Is Spinal Tap',
  imdb: { rating: 8.0, id: 88258 }
}

Include Computed Fields

To include computed fields in the result documents, assign an expression to the field that stores the results.

The following example projects the _id and title fields into new fields of the same name and computes the new field leadActor. The example then returns documents that include these fields:

const pipeline = [
  {
    $project: {
      _id: "$_id",
      title: "$title",
      leadActor: { $arrayElemAt: ["$cast", 0] }
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  _id: new ObjectId('573a1390f29313caabcd42e8'),
  title: 'The Great Train Robbery',
  leadActor: 'A.C. Abadie'
}

Project New Array Fields

To project new array fields in the result documents, assign an expression that computes the new array field to the field that stores the array.

The following example returns documents that include a new array field, crew, which combines values from the directors and writers fields:

const pipeline = [
  {
    $project: {
      _id: "$_id",
      title: "$title",
      leadActor: { $arrayElemAt: ["$cast", 0] },
      crew: { $concatArrays: ["$directors", "$writers"] }
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  _id: new ObjectId('573a1395f29313caabce2297'),
  title: 'The Chalk Garden',
  leadActor: 'Deborah Kerr',
  crew: ['Ronald Neame', 'John Michael Hayes (screenplay)', 'Enid Bagnold (from the play by)']
}

If the array specification includes fields that aren't in a document, the pipeline substitutes null as the value for that field. For example, the following example projects the fields directors, writers, and a non-existent field, makeupArtists, as elements in a new field named crew:

const pipeline = [
  {
    $project: {
      crew: ["$directors", "$writers", "$makeupArtists"]
    }
  }
];
const cursor = collection.aggregate(pipeline);
return cursor;

The output documents resemble the following example:

{
  _id: new ObjectId('573a1399f29313caabced0d9'),
  crew: [['Bill Kroyer'], ['Jim Cox (screenplay)', 'Diana Young (original stories)'], null]
}

Learn More

For more information and detailed explanations of common aggregation tasks, see the Complete Aggregation Pipeline Tutorials.

To learn more about the methods on this page, see the following guides:

Back

$planCacheStats

$querySettings

Definition

Compatibility

Syntax

Behavior

Include Fields

_id Field

Exclude Fields

Exclude Fields Conditionally

Add New Fields or Reset Existing Fields

Note

Literal Values

Field Rename

New Array Fields

Embedded Document Fields

Path Collision Errors in Embedded Fields

$project Stage Placement

Considerations

Empty Specification

Array Index

Examples

Include Specific Fields in Output Documents

Suppress _id Field in the Output Documents

Exclude Fields from Output Documents

Exclude Fields from Embedded Documents

Conditionally Exclude Fields

Tip

Comparison with $addFields

Include Specific Fields from Embedded Documents

Include Computed Fields

Project New Array Fields

Note

ConventionPack for Pascal Case

Include Specific Fields in Output Documents

Exclude Fields from Output Documents

Exclude Fields from Embedded Documents

Note

Use Strings for Embedded ID Fields

Conditionally Exclude Fields

Note

No Builder for Conditional Exclusion

Include Computed Fields

Project New Array Fields

Note

Builders Class Prevents Missing Fields

Include Specific Fields in Output Documents

Exclude Fields from Output Documents

Exclude Fields from Embedded Documents

Note

Use Strings for Embedded Fields

Conditionally Exclude Fields

Include Computed Fields

Project New Array Fields

Learn More

`_id` Field

`$project` Stage Placement

Suppress `_id` Field in the Output Documents