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Aggregation Pipeline Stages

$out (aggregation)

Definition

$out

Takes the documents returned by the aggregation pipeline and writes them to a specified collection. You can specify the output database.

The $out stage must be the last stage in the pipeline. The $out operator lets the aggregation framework return result sets of any size.

Warning

$out replaces the specified collection if it exists. See Replace Existing Collection for details.

Syntax

The $out stage has the following syntax:

  • $out can take a document to specify the output database as well as the output collection:

    { $out: { db: "<output-db>", coll: "<output-collection>" } }
    Field
    Description

    db

    The output database name.

    • For a replica set or a standalone, if the output database does not exist, $out also creates the database.

    • For a sharded cluster, the specified output database must already exist.

    coll

    The output collection name.

Important

  • You cannot specify a sharded collection as the output collection. The input collection for a pipeline can be sharded. To output to a sharded collection, see $merge (Available starting in MongoDB 4.2).

  • The $out operator cannot write results to a capped collection.

  • If you modify a collection with an Atlas Search index, you must first delete and then re-create the search index. Consider using $merge instead.

Comparison with $merge

With the introduction of $merge in version 4.2, MongoDB provides two stages, $merge and $out, for writing the results of the aggregation pipeline to a collection. The following summarizes the capabilities of the two stages:

  • Can output to a collection in the same or different database.

  • Can output to a collection in the same or different database.

  • Creates a new collection if the output collection does not already exist.

  • Creates a new collection if the output collection does not already exist.

  • Replaces the output collection completely if it already exists.

  • Can incorporate results (insert new documents, merge documents, replace documents, keep existing documents, fail the operation, process documents with a custom update pipeline) into an existing collection.

    Can replace the content of the collection but only if the aggregation results contain a match for all existing documents in the collection.

  • Cannot output to a sharded collection. Input collection, however, can be sharded.

  • Can output to a sharded collection. Input collection can also be sharded.

  • Corresponds to the SQL statements:

    • INSERT INTO T2 SELECT * FROM T1
    • SELECT * INTO T2 FROM T1

  • Corresponds to the SQL statement:

    • MERGE T2 AS TARGET
      USING (SELECT * FROM T1) AS SOURCE
      ON MATCH (T2.ID = SOURCE.ID)
      WHEN MATCHED THEN
        UPDATE SET TARGET.FIELDX = SOURCE.FIELDY
      WHEN NOT MATCHED THEN
        INSERT (FIELDX)
        VALUES (SOURCE.FIELDY)

    • Create/Refresh Materialized Views

Behaviors

$out Read Operations Run on Secondary Replica Set Members

Starting in MongoDB 5.0, $out can run on replica set secondary nodes if all the nodes in cluster have featureCompatibilityVersion set to 5.0 or higher and the Read Preference is set to secondary.

Read operations of the $out statement occur on the secondary nodes, while the write operations occur only on the primary nodes.

Not all driver versions support targeting of $out operations to replica set secondary nodes. Check your driver documentation to see when your driver added support for $out running on a secondary.

Create New Collection

The $out operation creates a new collection if one does not already exist.

The collection is not visible until the aggregation completes. If the aggregation fails, MongoDB does not create the collection.

Replace Existing Collection

If the collection specified by the $out operation already exists, then upon completion of the aggregation, the $out stage atomically replaces the existing collection with the new results collection. Specifically, the $out operation:

  1. Creates a temp collection.

  2. Copies the indexes from the existing collection to the temp collection.

  3. Inserts the documents into the temp collection.

  4. Calls the renameCollection command with dropTarget: true to rename the temp collection to the destination collection.

The $out operation does not change any indexes that existed on the previous collection. If the aggregation fails, the $out operation makes no changes to the pre-existing collection.

Schema Validation Errors

If your coll collection uses schema validation and has validationAction set to error, inserting an invalid document with $out throws an error. The $out operation makes no changes to the pre-existing collection and documents returned by the aggregation pipeline are not added to the coll collection.

Index Constraints

The pipeline will fail to complete if the documents produced by the pipeline would violate any unique indexes, including the index on the _id field of the original output collection.

If the $out operation modifies a collection with an Atlas Search index, you must delete and re-create the search index. Consider using $merge instead.

majority Read Concern

You can specify read concern level "majority" for an aggregation that includes an $out stage.

Interaction with mongodump

A mongodump started with --oplog fails if a client issues an aggregation pipeline that includes $out during the dump process. See mongodump --oplog for more information.

Restrictions

Restrictions
Description

Transactions

An aggregation pipeline cannot use $out inside transactions.

Time Series Collections

An aggregation pipeline cannot use $out to output to a time series collection.

View definition

The $out stage is not allowed as part of a view definition. If the view definition includes nested pipeline (e.g. the view definition includes $lookup or $facet stage), this $out stage restriction applies to the nested pipelines as well.

$lookup stage

Starting in 4.2, you cannot include the $out stage in the $lookup stage's nested pipeline.

$facet stage

$facet stage's nested pipeline cannot include the $out stage.

$unionWith stage

$unionWith stage's nested pipeline cannot include the $out stage.

"linearizable" read concern

The $out stage cannot be used in conjunction with read concern "linearizable". If you specify "linearizable" read concern for db.collection.aggregate(), you cannot include the $out stage in the pipeline.

Examples

In the test database, create a collection books with the following documents:

db.getSiblingDB("test").books.insertMany([
   { "_id" : 8751, "title" : "The Banquet", "author" : "Dante", "copies" : 2 },
   { "_id" : 8752, "title" : "Divine Comedy", "author" : "Dante", "copies" : 1 },
   { "_id" : 8645, "title" : "Eclogues", "author" : "Dante", "copies" : 2 },
   { "_id" : 7000, "title" : "The Odyssey", "author" : "Homer", "copies" : 10 },
   { "_id" : 7020, "title" : "Iliad", "author" : "Homer", "copies" : 10 }
])

If the test database does not already exist, the insert operation creates the database as well as the books collection.

Output to Same Database

The following aggregation operation pivots the data in the books collection in the test database to have titles grouped by authors and then writes the results to the authors collection, also in the test database.

db.getSiblingDB("test").books.aggregate( [
    { $group : { _id : "$author", books: { $push: "$title" } } },
    { $out : "authors" }
] )
First Stage ($group):

The $group stage groups by the authors and uses $push to add the titles to a books array field:

{ "_id" : "Dante", "books" : [ "The Banquet", "Divine Comedy", "Eclogues" ] }
{ "_id" : "Homer", "books" : [ "The Odyssey", "Iliad" ] }
Second Stage ($out):
The $out stage outputs the documents to the authors collection in the test database.

To view the documents in the output collection, run the following operation:

db.getSiblingDB("test").authors.find()

The collection contains the following documents:

{ "_id" : "Homer", "books" : [ "The Odyssey", "Iliad" ] }
{ "_id" : "Dante", "books" : [ "The Banquet", "Divine Comedy", "Eclogues" ] }

Output to a Different Database

Note

For a replica set or a standalone, if the output database does not exist, $out also creates the database.

For a sharded cluster, the specified output database must already exist.

$out can output to a collection in a database different from where the aggregation is run.

The following aggregation operation pivots the data in the books collection to have titles grouped by authors and then writes the results to the authors collection in the reporting database:

db.getSiblingDB("test").books.aggregate( [
    { $group : { _id : "$author", books: { $push: "$title" } } },
    { $out : { db: "reporting", coll: "authors" } }
] )
First Stage ($group):

The $group stage groups by the authors and uses $push to add the titles to a books array field:

{ "_id" : "Dante", "books" : [ "The Banquet", "Divine Comedy", "Eclogues" ] }
{ "_id" : "Homer", "books" : [ "The Odyssey", "Iliad" ] }
Second Stage ($out):
The $out stage outputs the documents to the authors collection in the reporting database.

To view the documents in the output collection, run the following operation:

db.getSiblingDB("reporting").authors.find()

The collection contains the following documents:

{ "_id" : "Homer", "books" : [ "The Odyssey", "Iliad" ] }
{ "_id" : "Dante", "books" : [ "The Banquet", "Divine Comedy", "Eclogues" ] }

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 class models the documents in the sample_mflix.movies collection:

public class Movie
{
    public ObjectId Id { get; set; }
    public int Runtime { get; set; }
    
    public string Title { get; set; }
    public string Rated { get; set; }
    public List<string> Genres { get; set; }
    public string Plot { get; set; }
    
    public ImdbData Imdb { get; set; }
    public int Year { get; set; }
    public int Index { get; set; }
    
    public string[] Comments { get; set; }
   
    [BsonElement("lastupdated")]
    public DateTime LastUpdated { 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 $out stage to an aggregation pipeline, call the Out() method on a PipelineDefinition object.

The following example creates a pipeline stage that writes the results of the pipeline into the movies collection:

var movieCollection = client
    .GetDatabase("sample_mflix")
    .GetCollection<Movie>("movies");
var pipeline = new EmptyPipelineDefinition<Movie>()
    .Out(movieCollection);

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 $out stage to an aggregation pipeline, use the $out operator in a pipeline object.

The following example creates a pipeline stage that writes the results of the pipeline into the movies collection. The example then runs the aggregation pipeline:

const pipeline = [{ $out: { db: "sample_mflix", coll: "movies" } }];
const cursor = collection.aggregate(pipeline);
return cursor;

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