


Can EF Core Code for Selecting Custom DTOs from Child Properties Be Reused Efficiently?
Jan 23, 2025 pm 07:48 PMCan Code for Selecting a Custom DTO Object for a Child Property Be Reused with EF Core?
Entity Framework Core enables querying using expressions to convert to DTO objects. This functionality works well for the object and any child collections, as exemplified by the provided Model:
public class Model { public int ModelId { get; set; } public string ModelName { get; set; } public virtual ICollection<ChildModel> ChildModels { get; set; } // Other properties, collections, etc. public static Expression<Func<Model, ModelDto>> AsDto => model => new ModelDto { ModelId = model.ModelId, ModelName = model.ModelName, ChildModels = model.ChildModels.AsQueryable().Select(ChildModel.AsDto).ToList() }; }
And the Query:
dbContext.Models.Where(m => SomeCriteria).Select(Model.AsDto).ToList();
However, the question arises: how can similar behavior be achieved for a child entity that is not a collection? For instance, if the Model class includes the property:
public AnotherChildModel AnotherChildModel { get; set; }
A conversion can be added to the expression:
public static Expression<Func<Model, ModelDto>> AsDto => model => new ModelDto { ModelId = model.ModelId, ModelName = model.ModelName, ChildModels = model.ChildModels.AsQueryable().Select(ChildModel.AsDto).ToList(), AnotherChildModel = new AnotherChildModelDto { AnotherChildModelId = model.AnotherChildModelId } };
But repeating this code every time the second child model needs to be converted to a DTO object is undesirable. Is there an alternative to using .Select() for a single entity?
Solutions
Several libraries offer an intuitive solution to this problem:
1. LINQKit:
With LINQKit, the .Select() operation can be applied to individual entities using the ExpandableAttribute:
[Expandable(nameof(AsDtoImpl))] public static ModelDto AsDto(Model model) { _asDtoImpl ??= AsDtoImpl() .Compile(); return _asDtoImpl(model); } private static Func<Model, ModelDto> _asDtoImpl; private static Expression<Func<Model, ModelDto>> AsDtoImpl => model => new ModelDto { ModelId = model.ModelId, ModelName = model.ModelName, ChildModels = model.ChildModels.AsQueryable().Select(ChildModel.AsDto).ToList(), AnotherChildModel = new AnotherChildModelDto { AnotherChildModelId = model.AnotherChildModelId } };
The query can then be written as:
dbContext.Models .Where(m => SomeCriteria).Select(m => Model.AsDto(m)) .AsExpandable() .ToList();
2. NeinLinq:
Similar to LINQKit, NeinLinq utilizes the InjectLambda attribute:
[InjectLambda] public static ModelDto AsDto(Model model) { _asDto ??= AsDto() .Compile(); return _asDto(model); } private static Func<Model, ModelDto> _asDto; private static Expression<Func<Model, ModelDto>> AsDto => model => new ModelDto { ModelId = model.ModelId, ModelName = model.ModelName, ChildModels = model.ChildModels.AsQueryable().Select(ChildModel.AsDto).ToList(), AnotherChildModel = new AnotherChildModelDto { AnotherChildModelId = model.AnotherChildModelId } };
The query can be modified as follows:
dbContext.Models .Where(m => SomeCriteria).Select(m => Model.AsDto(m)) .ToInjectable() .ToList();
3. DelegateDecompiler:
DelegateDecompiler offers a concise approach using the Computed attribute:
[Computed] public static ModelDto AsDto(Model model) => new ModelDto { ModelId = model.ModelId, ModelName = model.ModelName, ChildModels = model.ChildModels.AsQueryable().Select(ChildModel.AsDto).ToList(), AnotherChildModel = new AnotherChildModelDto { AnotherChildModelId = model.AnotherChildModelId } }
The query can be simplified to:
dbContext.Models .Where(m => SomeCriteria).Select(m => Model.AsDto(m)) .Decompile() .ToList();
Each of these libraries accomplishes the goal by modifying the expression tree before EF Core processing, thereby avoiding the need for repeated code. Additionally, all three require a call to inject their respective IQueryProvider.
The above is the detailed content of Can EF Core Code for Selecting Custom DTOs from Child Properties Be Reused Efficiently?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Yes, function overloading is a polymorphic form in C, specifically compile-time polymorphism. 1. Function overload allows multiple functions with the same name but different parameter lists. 2. The compiler decides which function to call at compile time based on the provided parameters. 3. Unlike runtime polymorphism, function overloading has no extra overhead at runtime, and is simple to implement but less flexible.

C has two main polymorphic types: compile-time polymorphism and run-time polymorphism. 1. Compilation-time polymorphism is implemented through function overloading and templates, providing high efficiency but may lead to code bloating. 2. Runtime polymorphism is implemented through virtual functions and inheritance, providing flexibility but performance overhead.

Yes, polymorphisms in C are very useful. 1) It provides flexibility to allow easy addition of new types; 2) promotes code reuse and reduces duplication; 3) simplifies maintenance, making the code easier to expand and adapt to changes. Despite performance and memory management challenges, its advantages are particularly significant in complex systems.

C destructorscanleadtoseveralcommonerrors.Toavoidthem:1)Preventdoubledeletionbysettingpointerstonullptrorusingsmartpointers.2)Handleexceptionsindestructorsbycatchingandloggingthem.3)Usevirtualdestructorsinbaseclassesforproperpolymorphicdestruction.4

People who study Python transfer to C The most direct confusion is: Why can't you write like Python? Because C, although the syntax is more complex, provides underlying control capabilities and performance advantages. 1. In terms of syntax structure, C uses curly braces {} instead of indentation to organize code blocks, and variable types must be explicitly declared; 2. In terms of type system and memory management, C does not have an automatic garbage collection mechanism, and needs to manually manage memory and pay attention to releasing resources. RAII technology can assist resource management; 3. In functions and class definitions, C needs to explicitly access modifiers, constructors and destructors, and supports advanced functions such as operator overloading; 4. In terms of standard libraries, STL provides powerful containers and algorithms, but needs to adapt to generic programming ideas; 5

Polymorphisms in C are divided into runtime polymorphisms and compile-time polymorphisms. 1. Runtime polymorphism is implemented through virtual functions, allowing the correct method to be called dynamically at runtime. 2. Compilation-time polymorphism is implemented through function overloading and templates, providing higher performance and flexibility.

C polymorphismincludescompile-time,runtime,andtemplatepolymorphism.1)Compile-timepolymorphismusesfunctionandoperatoroverloadingforefficiency.2)Runtimepolymorphismemploysvirtualfunctionsforflexibility.3)Templatepolymorphismenablesgenericprogrammingfo

C polymorphismisuniqueduetoitscombinationofcompile-timeandruntimepolymorphism,allowingforbothefficiencyandflexibility.Toharnessitspowerstylishly:1)Usesmartpointerslikestd::unique_ptrformemorymanagement,2)Ensurebaseclasseshavevirtualdestructors,3)Emp
