I'm confused on how I'm going to updated related entities using DDD. Let say I have a Employee Class and Workschedule Class. How should I updated a specific workschedule of a certain employee? The relationship between Employee and Workschedule is One-To-Many. Below is the code I'm using how to Add/Update a certain workschedule.
public class Employee
{
public int EmployeeId { get; set; }
public virtual ICollection<WorkSchedule> WorkSchedules { get; set; }
public WorkSchedule AddWorkSchedule(WorkSchedule workSchedule)
{
this.WorkSchedules.Add(workSchedule);
return workSchedule;
}
public WorkSchedule EditWorkSchedule(WorkSchedule workSchedule)
{
var originalWorkSchedule = this.WorkSchedules.FirstOrDefault(w => w.WorkscheduleId == workSchedule.WorkscheduleId);
originalWorkSchedule.ClockIn = workSchedule.ClockIn;
originalWorkSchedule.ClockOut = workSchedule.ClockOut;
return originalWorkSchedule;
}
}
public class WorkSchedule
{
public int WorkScheduleId { get; set; }
public DateTime ClockIn { get; set; }
public DateTime ClockOut { get; set; }
public int EmployeeId { get; set; }
}
Is this correct? Did I follow DDD correctly? Also, my thinking right now Workschedule is a value object but I'm putting and ID for normalization purposes
your Model should be "POCO" class
CRUD methods such.. Add or Edit will be considored as part of "Service" or "Repository"
here is a quick idea that just came to my mind / how should it look like and its usage..
IRepository repository { get; set; } //implement Interface and inject via IoC Container
//..usage
var employee = repository.GetEmployee(123); //get by id
//..new WorkSchedule
employee.WorkSchedules.Add(workSchedule);
var result = repository.Save(employee);
Since everything here is EF related, it isn't much of DDD. IF the code works as desired, then it's ok. But DDD has no relationship to EF or any other ORM. You should design the Domain objects, without caring at all about the database or an ORM. Then, in the repository you map the Domain entities to Persistence entities which will be handled by the ORM.
Also, my thinking right now Workschedule is a value object but I'm putting and ID for normalization purposes
This is the consequence when the layers and models are mixed. You don't need an ID in the domain but you need an id for persistence. Trying to fit both requirements in one model and calling that model Domain leads to nowhere.
EF it is not for DDD, it is too clumsy. EF is for same codemonkeys who likes t map SQL tables to Entities and do it like ActiveRecord antipatter, but after more intelligent developers started to call this as a bad practice, they started to use ORM, entities and continue monkeycoding.
I'm struggling with EF last 3 years to let it work DDD way. It successfully resists and wins. Without hacks it doesn't work.
The on-to-many relations still doesn't work as expected, there is not way to create entities with constructor, not the public properties and so on.
Related
The main problem is that when the web app is launched to the internet, when the load is high an exception is raised telling that there is already an opened data reader.
The following are the specs we use:
Entityframework 5.0.0
MySQL database
Is there a way of solving this problem without the using(){} block? Main problem of this approach is that when closed the using block I can't expand foreign key relations of entityframework objects inside the html view.
I also attach some source code, showing how we keep a single database context through the whole application
public abstract class AbstractService
{
public Entities db_model
{
get
{
return DbContext.Instance.db_model;
}
}
}
public class DbContext
{
public Entities db_model = new Entities();
private static DbContext _dbContext;
public static DbContext Instance
{
get
{
if(_dbContext == null)
{
_dbContext = new DbContext();
}
return _dbContext;
}
}
}
This answer is specifically related to the issue mentioned in the question about using the loaded entities in an ASP.NET View. The question asks about a way of solving this problem without a using block or disposing of the DbContext, however I am suggesting doing exactly this.
The reason being that it's generally desirable not to use Entity Framework objects in the ASP.NET Views because those objects are a lot more more than just plain POCO objects; they hide logic which allows them to act as a proxy to the underlying database, so they have a hidden dependency on the state of the DbContext which created them.
Here's a contrived example using EF models for Employee and Department with a DbContext:
public class CompanyDbContext : DbContext
{
public DbSet<Department> Departments { get; set; }
public DbSet<Employee> Employees { get; set; }
}
public class Department
{
public long Id { get; set; }
public virtual ICollection<Employee> Employees { get; set; }
}
public class Employee
{
public long Id { get; set; }
public long DepartmentId { get; set; }
public virtual Department Department { get; set; }
}
If these were used in an ASP.NET application, I would create some separate models which aren't tied to Entity Framework, to be used by ASP.NET. For example:
public class DepartmentModel
{
public long Id { get; set; }
public List<EmployeeModel> Employees { get; set; }
}
public class EmployeeModel
{
public long Id { get; set; }
public long DepartmentId { get; set; }
}
A few considerations:
According to the MSDN docs, "A DbContext represents a combination of the UnitOfWork and Repository patterns" - https://learn.microsoft.com/en-us/dotnet/api/system.data.entity.dbcontext?redirectedfrom=MSDN&view=entity-framework-6.2.0 - Therefore the DbContext should be short lived as far as possible.
When loading data from the context, related entities can be retrieved using DbSet<>.Include() - https://learn.microsoft.com/en-us/ef/ef6/querying/related-data
Generally speaking, it makes sense to de-couple the 'data' layer from the 'view' layer - for all kinds of reasons, some of which are listed here: https://learn.microsoft.com/en-us/aspnet/web-api/overview/data/using-web-api-with-entity-framework/part-5 -- this involves mapping between the EF objects and the POCO Models.
The logic which is used to query the DbContext would query the data using EF, and return that data using POCO models so that only logic which deals directly with DbContext has any involvement with the EF objects. For example:
public List<DepartmentModel> GetAllDepartments()
{
using (var ctx = new CompanyDbContext())
{
// Ensure that related data is loaded
var departments = ctx.Departments
.Include(d => d.Employees);
// Manual mapping by converting into a new set of models to be used by the Views
var models = departments
.Select(d => new DepartmentModel
{
Id = d.Id,
Employees = d.Employees
.Select(e => new EmployeeModel
{
Id = e.Id,
DepartmentId = e.DepartmentId
})
.ToList(),
})
.ToList();
return models;
}
}
Being able to use those POCO models, while requiring some extra boilerplate code, provides complete separation between the DbContext and ASP.NET, allowing the data to be used without ASP.NET Views/Controllers being concerned by the lifetime or state of the DbContext.
Sometimes this may look as if this approach violates the 'DRY' principle, however I would point out that EF objects and ViewModel objects exist to solve different problems, and it's not uncommon for the ViewModel objects to take a different shape, or even to require additional fields/attributes which wouldn't be suitable to add to the EF classes.
Lastly, the above uses 'manual' mapping, but if the mappings are really simple and straightforward, then it could make more sense to use AutoMapper instead: Cleanest Way To Map Entity To DTO With Linq Select?
I'm experimenting with EF5 Code First and I am using the models (show below).
When I look at the database that is created, I am confused because I do not see anything in the Track table that points to the Category table. Category has a FK pointing back to Track but that means that there are going to be duplicates of the categories?
A little background: I am trying to build a model that has tracks and every track can have 1 to N Categories. All of the categories are already defined, that is they are basically a lookup and I plan to create them in the seed method when database is created.
I think I am not understanding something obvious... When I query a track, how will I know what category it contains?
Thx
public class Track : IAuditInfo
{
public Int32 Id { get; set; }
public String Name { get; set; }
public String Description { get; set; }
public String Data { get; set; }
public DateTime CreatedOn { get; set; }
public DateTime ModifiedOn { get; set; }
public ICollection<Category> Categories { get; set; }
public Track()
{
Categories = new List<Category>();
}
}
public class Category
{
public Int32 Id { get; set; }
public Boolean IsVisible { get; set; }
public String DisplayName { get; set; }
}
Your current model is a one-to-many relationship between tracks and categories.
This usually implemented, as you have noted that entity framework does, using a foreign key on the many side (category) to the one side (track).
If I understand you correctly, what you want is a many-to-many relationship. Many tracks can be related to the same category, and a single track can belong to many categories.
To let entity framework understand that you want a many-to-many relationship you can simply add a ICollection property to your category class.
So both your classes should have a collection of the other class.
I.e. tracks have many categories and categories have many tracks.
For more information you can also see: http://msdn.microsoft.com/en-us/data/hh134698.a.nospx
Olav is right, your data model at the moment is not telling Entity Framework that there is a many-to-many relationship in there.
The simplest way to resolve this is to add
public virtual ICollection<Track> Tracks { get; set; }
to your Category class.
However... You may not want to pollute your domain model with artefacts that are not relevant to your domain. More importantly, when you do it this way, it is up to Entity Framework to figure out what to call the binding table. Prior to EF6 this naming is non deterministic (see http://entityframework.codeplex.com/workitem/1677), which may mean that two different machines compiling the same code will decide on different names for that table and cause some interesting migration problems in your production system.
The answer to both problems is to always explicitly manage many-to-many relationships with Fluent Configuration.
In your Data Context class, override the OnModelCreating, something like this:
public class MyDb : DbContext
{
public IDbSet<Track> Tracks { get; set; }
protected override void OnModelCreating(DbModelBuilder modelBuilder)
{
modelBuilder.Entity<Track>()
.HasMany(t => t.Categories)
.WithMany()
.Map(c => c.ToTable("CategoriesForTracks"));
}
}
If you do this, you don't need to add a navigation property to your Category class, though you still can (if you do, you should use the overload for WithMany that allows you to specify a property).
Relationships between entities and how to map that to a relational database is inherently hard. For anything other than the simplest parent-child relationships you will want to use the fluent API to make sure you actually get what you want.
Morteza Manavi has a really good blog series describing relationships in EF Code First in exhaustive detail.
NOTE
You should usually make navigation properties virtual. So, you should change your Category class like this:
public virtual ICollection<Category> Categories { get; set; }
In theory, not making it virtual should just cause eager loading rather than lazy loading to happen. In practice I have always found lots of subtle bugs appearing when my navigation properties are not virtual.
After watching NDC12 presentation "Crafting Wicked Domain Models" from Jimmy Bogard (http://ndcoslo.oktaset.com/Agenda), I was wandering how to persist that kind of domain model.
This is sample class from presentation:
public class Member
{
List<Offer> _offers;
public Member(string firstName, string lastName)
{
FirstName = firstName;
LastName = lastName;
_offers = new List<Offer>();
}
public string FirstName { get; set; }
public string LastName { get; set; }
public IEnumerable<Offer> AssignedOffers {
get { return _offers; }
}
public int NumberOfOffers { get; private set; }
public Offer AssignOffer(OfferType offerType, IOfferValueCalc valueCalc)
{
var value = valueCalc.CalculateValue(this, offerType);
var expiration = offerType.CalculateExpiration();
var offer = new Offer(this, offerType, expiration, value);
_offers.Add(offer);
NumberOfOffers++;
return offer;
}
}
so there are some rules contained in this domain model:
- Member must have first and last name
- Number of offers can't be changed outside
- Member is responsible for creating new offer, calculating its value and assignment
If if try to map this to some ORM like Entity Framework or NHibernate, it will not work.
So, what's best approach for mapping this kind of model to database with ORM?
For example, how do I load AssignedOffers from DB if there's no setter?
Only thing that does make sense for me is using command/query architecture: queries are always done with DTO as result, not domain entities, and commands are done on domain models. Also, event sourcing is perfect fit for behaviours on domain model. But this kind of CQS architecture isn't maybe suitable for every project, specially brownfield. Or not?
I'm aware of similar questions here, but couldn't find concrete example and solution.
This is actually a very good question and something I have contemplated. It is potentially difficult to create proper domain objects that are fully encapsulated (i.e. no property setters) and use an ORM to build the domain objects directly.
In my experience there are 3 ways of solving this issue:
As already mention by Luka, NHibernate supports mapping to private fields, rather than property setters.
If using EF (which I don't think supports the above) you could use the memento pattern to restore state to your domain objects. e.g. you use entity framework to populate 'memento' objects which your domain entities accept to set their private fields.
As you have pointed out, using CQRS with event sourcing eliminates this problem. This is my preferred method of crafting perfectly encapsulated domain objects, that also have all the added benefits of event sourcing.
Old thread. But there's a more recent post (late 2014) by Vaughn Vernon that addresses just this scenario, with particular reference to Entity Framework. Given that I somehow struggled to find such information, maybe it can be helpful to post it here as well.
Basically the post advocates for the Product domain (aggregate) object to wrap the ProductState EF POCO data object for what concerns the "data bag" side of things. Of course the domain object would still add all its rich domain behaviour through domain-specific methods/accessors, but it would resort to inner data object when it has to get/set its properties.
Copying snippet straight from post:
public class Product
{
public Product(
TenantId tenantId,
ProductId productId,
ProductOwnerId productOwnerId,
string name,
string description)
{
State = new ProductState();
State.ProductKey = tenantId.Id + ":" + productId.Id;
State.ProductOwnerId = productOwnerId;
State.Name = name;
State.Description = description;
State.BacklogItems = new List<ProductBacklogItem>();
}
internal Product(ProductState state)
{
State = state;
}
//...
private readonly ProductState State;
}
public class ProductState
{
[Key]
public string ProductKey { get; set; }
public ProductOwnerId ProductOwnerId { get; set; }
public string Name { get; set; }
public string Description { get; set; }
public List<ProductBacklogItemState> BacklogItems { get; set; }
...
}
Repository would use internal constructor in order to instantiate (load) an entity instance from its DB-persisted version.
The one bit I can add myself, is that probably Product domain object should be dirtied with one more accessor just for the purpose of persistence through EF: in the same was as new Product(productState) allows a domain entity to be loaded from database, the opposite way should be allowed through something like:
public class Product
{
// ...
internal ProductState State
{
get
{
// return this.State as is, if you trust the caller (repository),
// or deep clone it and return it
}
}
}
// inside repository.Add(Product product):
dbContext.Add(product.State);
For AssignedOffers : if you look at the code you'll see that AssignedOffers returns value from a field. NHibernate can populate that field like this: Map(x => x.AssignedOffers).Access.Field().
Agree with using CQS.
When doing DDD first thing, you ignore the persistence concerns. THe ORM is tighlty coupled to a RDBMS so it's a persistence concern.
An ORM models persistence structure NOT the domain. Basically the repository must 'convert' the received Aggregate Root to one or many persistence entities. The Bounded Context matters a lot since the Aggregate Root changes according to what are you trying to accomplish as well.
Let's say you want to save the Member in the context of a new offer assigned. Then you'll have something like this (of course this is only one possible scenario)
public interface IAssignOffer
{
int OwnerId {get;}
Offer AssignOffer(OfferType offerType, IOfferValueCalc valueCalc);
IEnumerable<Offer> NewOffers {get; }
}
public class Member:IAssignOffer
{
/* implementation */
}
public interface IDomainRepository
{
void Save(IAssignOffer member);
}
Next the repo will get only the data required in order to change the NH entities and that's all.
About EVent Sourcing, I think that you have to see if it fits your domain and I don't see any problem with using Event Sourcing only for storing domain Aggregate Roots while the rest (mainly infrastructure) can be stored in the ordinary way (relational tables). I think CQRS gives you great flexibility in this matter.
In my app, I've been using a DB that stored its IDs as strings. The DB also stored another property (Etag) for each document/row. Because of that, I've had my domain entities derive from this base class:
public class EntityBase : NotifyPropertyChangedBase
{
public string Id { get; set; }
public Guid ETag { get; set; }
}
Now I'm adding another data layer to my application, and I don't want to remove the old one. It would be nice to be able to switch and use a particular data layer based on a run-time decision. The issue is that I want to store Id as an int in the new DB. And ETag is an unnecessary concept in that new DB.
I'm struggling with how to manage this change. If I change EntityBase.Id to an int, then the old data layer won't compile. I'd like to use a certain EntityBase if using the old data layer, and a different EntityBase if I'm using the new data layer. That's just one thought. Maybe there's a better approach? Any suggestions on how I can make this work?
By the way, I believe that persistence layer issues shouldn't work there way up into domain layer objects (like Id being a string or int). However, it's too late, and this is the situation in which I find myself. I'm hoping someone has some good advice on how to proceed.
I was thinking about adding an Id2 to EntityBase:
public class EntityBase : NotifyPropertyChangedBase
{
public string Id { get; set; }
public int Id2 { get; set; } // New property for new DB only
public Guid ETag { get; set; }
}
Then, in my new DAL mapping, I would map the Id column in the table to Id2 instead of Id. But that's not going to work because my business logic references Id only. Still thinking... I may be stuck...
As a hack, I could leave EntityBase in its original form. Then, in the new DAL, when I perform the ORM, I could just convert the ID of the table to a string.
I suggest to add one more layer then.
For instance, to create a new class like this:
public abstract class CommonEntityBase<T> : NotifyPropertyChangedBase{
public T Id {get;set;}
}
And then, derive your old EntityBase from this class:
public class EntityBase : CommonEntityBase<string>{
//this property is present only in this old implementation
public Guid ETag { get; set; }
}
So now, you can create a new layer and use a base class for that as well:
public class FancyEntityBase : CommonEntityBase<int>{
//No ETag concept here - ad new properties, methods, etc.
}
However, there is a question if you really need to change your primary keys to be integers.
This may result in performance issues when the ORM is used.
Need a little help please if anyone can shed some light on this.
I've created a code-first MVC 3 application which I have working fine. I'm refactoring now to remove as much coupling as possible as I want the domain model to be used in various other MVC 3 applications later on. What I have now is a collection of entities which are persisted via a normalised database and they are CRUD-ed through a repository pattern. I have used Ninject to DI the repositories via the controller's constructor and am using models within the MVC 3 project to act as DAOs.
So, within the domain I have an entity called Case that has a foreign key to another case Client that looks like this:
public class Case : ICase
{
[Key]
public int CaseId { get; set; }
public string CaseName { get; set; }
public DateTime DateCreated { get; set; }
public IClient Client { get; set; }
}
Then I have an interface (the interface exists mainly to implement it to the view model to add my data annotations - I know I could add the annotations to the domain object but as I said I want to use this domain model in other applications which will have a different ubiquitious language.
public interface ICase
{
int CaseId { get; set; }
string CaseName { get; set; }
DateTime DateCreated { get; set; }
IClient Client { get; set; }
}
And then I have my view model within the MVC 3 project.
public class CaseModel : ICase
{
[HiddenInput(DisplayValue = false)]
int CaseId { get; set; }
[Required(AllowEmptyStrings = false)]
[MaxLength(100)]
string CaseName { get; set; }
[RegularExpression("")]
DateTime DateCreated { get; set; }
IClient Client { get; set; }
}
So, my first problem is this: changing my foreign key reference for Client to IClient is a new thing, and it returns a null object. When the type was a concrete class it returned fine - I assume this is because EF4.1 tries to create an instance of IClient. Am I totally wrong here or is there a way around this?
My second problem (which may negate my first problem) is am I also doing something wrong by adding data annotations to a view model inheriting the interface of my domain entity? Should I be using model meta data? If so, how do I use meta data in such a way that I can make the data annotations unique to each project without touching the domain?
Thanks!
Caveat: I'm not an expert on EF or MVC3.
We're in the process of building EF Code First entities, and we're not planning on adding interfaces to the entities. Repositories get interfaces. Units of Work get interfaces. Entities don't. Repositories return concrete entities, which are POCOs. Entities may be coupled to related entities. Models and other classes will typically get repository interfaces and/or unit of work interfaces injected in. For testing, we'll just new up some POCO entities and return them from the mock repositories.
We're planning to make the relevant POCO properties virtual so that EF can create proxies.
If you want to decouple a view from concrete entities, I'd first ask what value you expect to gain from that. Is the view going to be reused with different entities? If so, one option would be to use something like AutoMapper to copy the properties over. You'd have to be aware of the immediate access of lazy-load properties, though.