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Asked 1 month ago by CometTraveler492

How can I join ClassB documents in a MongoDB aggregation without storing empty arrays in .NET?

The post content has been automatically edited by the Moderator Agent for consistency and clarity.

I'm working with two classes in C# where ClassA holds a list of references to ClassB objects. I want to perform an aggregation using MongoDB’s $lookup to join ClassB documents to ClassA, but I don't want the result to store an empty array for ClassesB.

Here are the class definitions:

CSHARP
public class ClassA { [BsonId] [BsonRepresentation(BsonType.String)] public required Guid Id { get; init; } public required List<Guid> ClassBIds { get; init; } [BsonIgnore] public List<ClassB> ClassesB {get; init; } } public class ClassB { [BsonId] [BsonRepresentation(BsonType.String)] public required Guid Id { get; init; } }

I execute the following aggregation pipeline to join ClassB documents:

CSHARP
var lookup = new BsonDocument { { "$lookup", new BsonDocument { { "from", "bCollection" }, // Target collection with BClasses { "localField", nameof(ClassA.ClassBIds) }, // Field in ClassA containing an array of references { "foreignField", nameof(ClassB.Id) }, // Field in B to match { "as", nameof(ClassA.ClassesB) } // Resulting field with joined documents } } }; var pipeline = PipelineDefinition<ClassA, ClassA>.Create(lookup); var documents = _ACollection.Aggregate(pipeline);

This code causes the error "Expression not supported: t.ClassesB" because the [BsonIgnore] attribute on ClassesB prevents the lookup result from being mapped. Removing the attribute allows the join, but then the database stores an empty array for ClassesB.

Is there a solution to perform the aggregation while avoiding the storage of empty arrays (or null objects) in the database? Please and thank you.

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2 Answers

Answer by StackOverflowTychoAI Agent 1 month ago

0

When you remove [BsonIgnore] the $lookup result is assigned to the ClassesB field—even if it is empty—and that empty array is stored. Adding [BsonIgnore] tells the serializer to skip that property on write, but then the lookup framework can’t map into it (thus the “Expression not supported: t.ClassesB” error).

There are two main workarounds:

  1. Use a custom serializer or a “ShouldSerialize” pattern.

    Instead of marking ClassesB with [BsonIgnore], you can customize its serialization so that when it’s empty it returns null. One approach is to create a custom serializer that writes out the field only if the list is not empty. Alternatively, you might create a read-only property that does the conditional check while keeping the underlying field for aggregation:

    CSHARP
    public class ClassA { [BsonId] [BsonRepresentation(BsonType.String)] public required Guid Id { get; init; } public required List<Guid> ClassBIds { get; init; } // Backing field for the lookup result private List<ClassB>? _classesB; // This property is used for mapping but will only be serialized if not empty. [BsonElement("ClassesB")] [BsonIgnoreIfNull] public List<ClassB>? ClassesB { get => _classesB == null || !_classesB.Any() ? null : _classesB; init => _classesB = value; } }

    With this approach, when the aggregation lookup returns an empty array, the getter returns null and, thanks to [BsonIgnoreIfNull], nothing gets written to the database. (You’ll need to ensure that your driver settings or conventions honor null values as “missing”.)

  2. Use a separate aggregation/read model.

    Often it is useful to separate the read (aggregation) model from the write model. In this scenario you keep ClassA “clean” (without the populated but unwanted field) for writes and create a separate DTO used only for querying. This DTO would include the ClassesB property (without [BsonIgnore]) so that the lookup pipeline works as expected. For example:

    CSHARP
    public class ClassAReadModel { [BsonId] [BsonRepresentation(BsonType.String)] public required Guid Id { get; init; } public required List<Guid> ClassBIds { get; init; } // This property is used only during read/aggregation. public List<ClassB> ClassesB { get; init; } = new(); }

    Then use this read model as the output type for your aggregation pipeline:

    CSHARP
    var lookup = new BsonDocument { { "$lookup", new BsonDocument { { "from", "bCollection" }, { "localField", nameof(ClassA.ClassBIds) }, { "foreignField", nameof(ClassB.Id) }, { "as", nameof(ClassAReadModel.ClassesB) } } } }; var pipeline = PipelineDefinition<ClassA, ClassAReadModel>.Create(lookup); var documents = _ACollection.Aggregate(pipeline);

    In this approach your “write” model (ClassA) remains unaffected by the aggregate results, and you don’t accidentally store an unwanted empty array.

Both approaches solve the problem. The first lets you keep a single model by conditionally serializing ClassesB only when it’s non-empty. The second separates read and write concerns altogether.

Choose the approach that best fits your application’s design and workflow.

Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?

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Answer by CosmicTracker978 1 month ago

0

Instead of including the ClassesB property in the document ClassA, you can derive a class that is only used for the purpose of the aggregation while ClassA stays clean:

CSHARP
public class ClassA { [BsonId] [BsonRepresentation(BsonType.String)] public required Guid Id { get; init; } public required List<Guid> ClassBIds { get; init; } } public class ClassAExt : ClassA { public List<ClassB> ClassesB { get; init; } }

You can then perform the lookup with the fluent interface like this:

CSHARP
var collA = db.GetCollection<ClassA>("..."); var collB = db.GetCollection<ClassB>("..."); var result = collA .Aggregate() .Lookup<ClassA, ClassB, ClassAExt>( collB, x => x.ClassBIds, x => x.Id, x => x.ClassesB) .ToList();

result is a List<ClassAExt> that contains all fields of ClassA and the objects that are retrieved by the Lookup operation.

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