The majority of MVC examples I see seem to use Entity Framework. I am currently writing an MVC application that will not use EF (using Dapper instead) and I'm wondering where I should include the data persistence logic?
My first thought was to place it in along with the classes for my model. This would mean that my model classes would look something like below:
class User
{
public int id {get; set;}
public string name {get; set;}
Create(string name)
{
// dapper to perform insert
}
Remove(int id)
{
// dapper to perform delete
}
//Update(),Delete() etc.
}
But I haven't used MVC much so I'm not sure if this is a common practice or not.
Is placing data persistence logic in with the Model a good practice or should I be taking a different approach?
Also, I believe that Stack Exchange uses MVC and Dapper - if anyone knows of anywhere that they have spoken about how they structured their code, feel free to point me towards it.
You wouldn't expect to have to open your computer and press a button on the harddrive to save data to it would you?
Basically the purpose of the MVC pattern, and SOLID design principles in general, is to separate your concerns. Putting logic related to saving, modifying or updating your database inside of your model, whose responsibility is to be an object that contains data, is counter to the philosophy of the pattern you're supposed to subscribe to in MVC.
Your controller is where you want to perform the logic to save your information, but there is still a data access layer that the concern of interacting with the database is abstracted to.
So you would have:
public class MyController {
IDataAccessLayer _dataAccessLayer;
public MyController(IDataAccessLayer dataAccessLayer) {
_dataAccessLayer = dataAccessLayer;
}
public ActionResult Create(Model myModel){
_dataAccessLayer.InsertIntoDatabase(myModel);
return View();
}
}
As per design of MVC persistence never be a problem. You can use any ORM you want. For MVC pattern to work you need Model ( partial ViewModel) to display your data in View. Controller will handle your flow of application.
Now from controller you can call any process to save your data.
I think you can use Repository pattern with Dapper as well same as EF.
Main thing to take care that your application should not be persistence aware. You can develop with Dapper and later you can also provide support for EF without much changing at your UI level.
Related
I'm using ASP .NET MVC (C#) and EntityFramework (database first) for a project.
Let's say I'm on a "Movie detail" page which shows the detail of one movie of my database. I can click on each movie and edit each one.
Therefore, I have a Movie class, and a Database.Movie class generated with EF.
My index action looks like :
public ActionResult MovieDetail(int id)
{
Movie movie = Movie.GetInstance(id);
return View("MovieDetail", movie);
}
GetInstance method is supposed to return an instance of Movie class which looks like this for the moment :
public static Movie GetInstance(int dbId)
{
using (var db = new MoviesEntities())
{
Database.Movie dbObject = db.Movies.SingleOrDefault(r => r.Id == dbId);
if (dbObject != null)
{
Movie m = new Movie(dbObject.Id, dbObject.Name, dbObject.Description);
return m;
}
return null;
}
}
It works fine but is this a good way to implement it? Is there an other cleaner way to get my instance of Movie class ?
Thanks
is this a good way to implement it?
That's a very subjective question. It's valid, and there's nothing technically wrong with this implementation. For my small-size home projects, I've used similar things.
But for business applications, it's better to keep your entities unrelated to your MVC application. This means that your data context + EF + generated entities should be kept in a separate project (let's call it the 'Data' project), and the actual data is passed in the form of a DTO.
So if your entity resembles this:
public class Person {
public int Id { get; set; }
public string Name { get; set; }
}
You'd expect there to be an equivalent DTO class that is able to pass that data:
public class PersonDTO {
public int Id { get; set; }
public string Name { get; set; }
}
This means that your 'Data' project only replies with DTO classes, not entities.
public static MovieDTO GetInstance(int dbId)
{
...
}
It makes the most sense that your DTOs are also in a separate project. The reason for all this abstraction is that when you have to change your datacontext (e.g. the application will start using a different data source), you only need to make sure that the new data project also communicates with the same DTOs. How it works internally, and which entities it uses, is only relevant inside the project. From the outside (e.g. from your MVC application), it doesn't matter how you get the data, only that you pass it in a form that your MVC projects already understand (the DTO classes).
All your MVC controller logic will not have to change, because the DTO objects haven't changed. This could save you hours. If you link the entity to your Controller AND View, you'll have to rewrite both if you suddenly decide to change the entity.
If you're worried about the amount of code you'll have to write for converting entities to DTOs and vice versa, you can look into tools like Automapper.
The main question: Is this needed?
That, again, is a very subjective question. It's relative to the scope of the project, but also the expected lifetime of the application. If it's supposed to be used for a long time, it might be worth it to keep everything interchangeable. If this is a small scale, short lifetime project, the added time to implement this might not be worth it.
I can't give you a definitive answer on this. Evaluate how well you want the application to adapt to changes, but also how likely it is that the applicaiton will change in the future.
Disclaimer: This is how we do it at the company where I work. This is not the only solution to this type of problem, but it's the one I'm familiar with. Personally, I don't like making abstractions unless there's a functional reason for it.
A few things:
The naming you're using is a little awkward and confusing. Generally, you don't ever want to have two classes in your project named the same, even if they're in different namespaces. There's nothing technically wrong with it, but it creates confusion. Which Movie do I need here? And if I'm dealing with a Movie instance, is it Movie or Database.Movie? If you stick to names like Movie and MovieDTO or Movie and MovieViewModel, the class names clearly indicate the purpose (lack of suffix indicates a database-backed entity).
Especially if you're coming from another MVC framework like Rails or Django, ASP.NET's particular flavor of MVC can be a little disorienting. Most other MVC frameworks have a true Model, a single class that functions as the container for all the business logic and also acts as a repository (which could be considered business logic, in a sense). ASP.NET MVC doesn't work that way. Your entities (classes that represent database tables) are and should be dumb. They're just a place for Entity Framework to stuff data it pulls from the database. Your Model (the M in MVC) is really more a combination of your view models and your service/DAL layer. Your Movie class (not to be confused with Database.Movie... see why that naming bit is important) on the other hand is trying to do triple duty, acting as the entity, view model and repository. That's simply too much. Your classes should do one thing and do it well.
Again, if you have a class that's going to act as a service or repository, it should be an actual service or repository, with everything those patterns imply. Even then, you should not instantiate your context in a method. The easiest correct way to handle it is to simply have your context be a class instance variable. Something like:
public class MovieRepository
{
private readonly MovieEntities context;
public MovieRepository()
{
this.context = new MovieEntities();
}
}
Even better, though is to use inversion of control and pass in the context:
public class MovieRepository
{
private readonly MovieEntities context;
public MovieRepository(MovieEntities context)
{
this.context = context;
}
}
Then, you can employ a dependency injection framework, like Ninject or Unity to satisfy the dependency for you (preferably with a request-scoped object) whenever you need an instance of MovieRepository. That's a bit high-level if you're just starting out, though, so it's understandable if you hold off on going the whole mile for now. However, you should still design your classes with this in mind. The point of inversion of control is to abstract dependencies (things like the context for a class that needs to pull entities from the database), so that you can switch out these dependencies if the need should arise (say perhaps if there comes a time when you're going to retrieve the entities from an Web API instead of through Entity Framework, or even if you just decide to switch to a different ORM, such as NHibernate). In your code's current iteration, you would have to touch every method (and make changes to your class in general, violating open-closed).
entity-model never should act as view-model. Offering data to the views is an essential role of the view-model. view-model can easily be recognized because it doesn’t have any other role or responsibility other than holding data and business rules that act solely upon that data. It thus has all the advantages of any other pure model such as unit-testability.
A good explanation of this can be found in Dino Esposito’s The Three Models of ASP.NET MVC Apps.
You can use AutoMapper
What is AutoMapper?
AutoMapper is a simple little library built to solve a deceptively complex problem - getting rid of code that mapped one object to another. This type of code is rather dreary and boring to write, so why not invent a tool to do it for us?
How do I get started?
Check out the getting started guide.
Where can I get it?
First, install NuGet. Then, install AutoMapper from the package manager console:
PM> Install-Package AutoMapper
Whats the difference between Model and ViewModel? I should use both of them or I better skip one of them? who grabs the data from the database?
I wonder whats the best/right way to take my data from the database.
One option is to have a DAL (Data Access Layer) and instantiate it in every controller,
fill with it the viewmodels like:
var viewmodel = Dal.GetArticles();
Another option is to let the model itself grab the information from the Database:
var model = new ArticlesModel();
model.GetArticles();
public void GetArticles()
{
var context = new DbContext();
_articles = context.Articles
}
Another similar option is to have a static DAL so you can access it inside every model,
so each model will have a method to grab the data using the static DAL class (Which contain a DbContext class inside to access the Database)
public void GetArticles()
{
_articles = DAL.GetArticles();
}
So the general question is if the model itself needs to grab the data from the database or the controller itself can have access to the DAL.
While someone is writing a more useful answer, I will quickly address your points.
Model is the data you want to display.
More often than not, you will want to use object relational mapping so most of your business object classes correspond to database tables and you don't have to manually construct queries.
There are plenty of ORM solutions available, including Entity Framework, NHibernate and (now dying) LINQ to SQL.
There is also an awesome micro-ORM called Dapper which you may like if bigger frameworks feel unneccessarily bloated for your solution.
Make sure you learn about the differences between them.
DAL is more idiomatic in .NET than classes that “know” how to load themselves.
(Although in practice your solution will very likely be a mixture of both approaches—the key is, as usual, to keep the balance.)
My advice is to try keeping your models plain old CLR objects as long as your ORM allows it and as long as this doesn't add extra level of complexity to the calling code.
These objects, whenever possible (and sensible—there are exceptions for any rule!), should not be tied to a particular database or ORM implementation.
Migrating your code to another ORM, if needed, will be just a matter of rewriting data access layer.
You should understand, however, that this is not the main reason to separate DAL.
It is highly unlikely you'll want to change an ORM in the middle of the project, unless your initial choice was really unfit for the purpose or you suddenly gained a traction of 100,000 of users and your ORM can't handle it. Optimizing for this in the beginning is downright stupid because it distracts you from creating a great product capable of attracting even a fraction of hits you're optimizing for. (Disclaimer: I've walked this path before.)
Rather, the benefit of DAL is that you database access becomes always explicit and constrained to certain places where you want it to happen. For example, a view that received a model object to display will not be tempted to load something from the database, because in fact it is the job of controller to do so.
It's also generally good to separate things like business logic, presentation logic and database logic. Too often it results in better, less bug-ridden code. Also: you are likely to find it difficult to unit-test any code that relies on objects being loaded from the database. On the other hand, creating a “fake” in-memory data access layer is trivial with LINQ.
Please keep in mind that again, there are exceptions to this rule, like lazy properties generated by many ORMs that will load the associated objects on the go—even if called within a view. So what matters is you should make an informed decision when to allow data access and why. Syntaxic sugar might be useful but if your team has no idea about performance implications of loading 20,000 objects from ORM, it will become a problem.
Before using any ORM, learn how it works under the hood.
Choosing between Active Record-style objects and a DAL is mostly a matter of taste, common idioms in .NET, team habits and the possibility that DAL might eventually have to get replaced.
Finally, ViewModels are a different kind of beast.
Try to think of them like this:
You shouldn't have any logic in views that is more sophisticated than an if-then-else.
However, there often is some sophisticated logic in showing things.
Think pagination, sorting, combining different models in one view, understanding UI state.
These are the kinds of thing a view model could handle.
In simple cases, it just combines several different models into one “view-model”:
class AddOrderViewModel {
// So the user knows what is already ordered
public IEnumerable<Order> PreviousOrders { get; set; }
// Object being added (keeping a reference in case of validation errors)
public Order CurrentOrder { get; set; }
}
Models are just data, controllers combine the data and introduce some logic to describe data to be shown in view models, and views just render view models.
View model also serves as a kind of documentation. They answer two questions:
What data can I use in a view?
What data should I prepare in controller?
Instead of passing objects into ViewData and remembering their names and types, use generic views and put stuff in ViewModel's properties, which are statically typed and available with IntelliSense.
Also, you'll likely find it useful to create ViewModel hierarchies (but don't take it to extremes!). For example, if your site-wide navigation changes from breadcrumbs to something else, it's cool to just replace a property on base view model, a partial view to display it and the logic to construct it in the base controller. Keep it sensible.
A model represents the structure you like your data in and is not concerned about the view which may consume it. A model's intend is purely that of representing the structure.
A model may contain properties irrelevant to the view consuming it.
A view-model is designed with the view in mind. A view-model is intended for a 1-to-1 relationship to a view. A view-model only contains the basic fields and properties the view it is intended for requires.
In general you would have your controller contact a repository (In your example your DAL) obtaining the data and then populating either a model or view-model with the results, sending it down to the view.
Model (Domain Model): is the heart of the application, representing the biggest and most important business asset because it captures all the complex business entities, their relationships and their functionality.
ViewModel: Sitting atop the Model is the ViewModel:The two primary goals of the ViewModel are
1. to make the Model easily consumable by the View and
2. to separate and encapsulate the Model from the View.
Eg.
Model:
public class Product
{
...............
}
public class Category
{
...........
}
ViewModel:
public class ProductViewModel
{
public ProductViewModel(List<Product> products, List<Category> categories)
{
this.Products = products;
this.Categories = categories;
}
public List<Product> Products { get; set; }
public List<Category> Categories { get; set; }
}
I'm having a debate with my coworkers in the design of the read side of a CQRS application.
Option 1: The application read side of my CQRS application returns DTOs, e.g:
public interface IOrderReadService
{
public OrderDto Load(int id);
}
public class SomeController
{
public ActionResult SomeAction(int id)
{
var dto = ObjectFactory.GetInstance<IOrderReadService>().Load(id);
var viewModel = Mapper.Map<OrderDto, SomeViewModel>();
return View(viewModel);
}
}
public class SomeOtherController
{
public ActionResult SomeOtherAction(int id)
{
var dto = ObjectFactory.GetInstance<IOrderReadService>().Load(id);
var viewModel = Mapper.Map<OrderDto, SomeOtherViewModel>();
return View(viewModel);
}
}
Option 2: The application read side returns ViewModels, e.g.:
public interface IOrderReadService
{
public SomeViewModel LoadSomething(int id);
public SomeOtherViewModel LoadSomethingElse(int id);
}
public class SomeController
{
public ActionResult SomeAction(int id)
{
return View(ObjectFactory.GetInstance<IOrderReadService>().LoadSomething(id));
}
}
public class SomeOtherController
{
public ActionResult SomeOtherAction(int id)
{
return View(ObjectFactory.GetInstance<IOrderReadService>().LoadSomethingElse(id));
}
}
From the research my coworkers and I have done on the matter, responses appear mixed - it looks like it really depends on context. So I ask you, my dear StackOverflowians:
Does one approach seem to have clear advantages over the other? If so, what are they?
The general advice is one projection per screen (Greg Young) or even one projection per widget (if I understand Udi Dahan correctly).
To consolidate read models into DTOs that once again have to be mapped into separate views contradicts the whole purpose of an optimized read model. It adds complexity and mapping steps that we tried to get rid of in the first place.
My advice: Try to get as close as possible to SELECT * FROM ViewSpecificTable [WHERE ...] or something similar if using NoSQL in your thin read layer.
The concept of Aggregate Roots and their "children" doesn't have too much of an implication on the read side, since these are domain model concepts. You don't want to have a domain model on the read side, it only exists on the write side.
UI platform-specific transformation as mentioned by Mohamed Abed should be done in the UI layer, not in the read model itself.
Long story short: I'd opt for option 2. To not confuse it with a platform-specific ViewModel, I'd rather call it ReadModel but have one per view anyway.
One of the primary principles of DDD/CQRS is that you shouldn't be editing the view model. Instead, task-based screens should guide the user towards issuing explicit commands. If you can't come up with task-based screens, you should be using a different form of CQRS like the one I describe here:
http://udidahan.com/2011/10/02/why-you-should-be-using-cqrs-almost-everywhere/
I would prefer to return DTO to separate the application layer from presentation technology (because each presentation technology may have some requirements on the structure of presentation model) for example a web MVC application binding is different than WPF MVVM binding, also you may require some properties/fields in view models that has nothing to do with application data like for example (SliderWidth, or IsEmailFieldEnabled, ...).
Also for example if using WPF MVVM i would need to implement INotifyPropertyChanged interface to allow binding it is not convenient nor related to implement this interface in the application read service.
so i would prefer separating the concern of read data representation from the actual presentation technology and view model.
So option 1 is better for me
A read model is a projection of the write model. It's there to fulfill a specific purpose. In your case that seems providing view models to your MVC controllers. As such, why go thru the trouble of mapping DTO's to Viewmodels? The only reason I could think of was that the benefit of having two separate read models might not outweigh their maintenance cost. But do consider that "merging" read models for the purpose of "reuse" and "lowering maintenance costs" increases complexity for the developer (Can I change this table? Hmmm, I now have two (or more) consumers I have to take into account - smells a bit like database integration all over again).
Just my thoughts.
In my continuing journey through ASP.NET MVC, I am now at the point where I need to render an edit/create form for an entity.
My entity consists of enums and a few other models, created in a repository via LINQtoSQL.
What I am struggling with right now is finding a decent way to render the edit/create forms which will contain a few dropdown lists and a number of text fields. I realize this may not be the most user-friendly approach, but it is what I am going with right now :).
I have a repository layer and a business layer. The controllers interface with the service layer.
Is it best to simply create a viewmodel like so?
public class EventFormViewModel
{
IEventService _eventService;
public IEvent Event { get; private set; }
public IEnumerable<EventCampaign> Campaigns { get; private set; }
public IEnumerable<SelectListItem> Statuses { get; private set; }
// Other tables/dropdowns go here
// Constructor
public EventFormViewModel(IEventService eventService, IEvent ev)
{
_eventService = eventService;
Event = ev;
// Initialize Collections
Campaigns = eventService.getCampaigns().ToSelectList(); //extn method maybe?
Statuses = eventService.getStatus().ToSelectList(); /extn for each table type?
}
So this will give me a new EventFormViewModel which I'll bind to a view. But is this the best way? I'd essentially be pulling all data back from the database for a few different tables and converting them to an IEnumerable. This doesn't seem overly efficient, but I suppose I could cache the contents of the dropdowns.
Also, if all I have is methods that get data for a dropdown, should I just skip the service layer and go right to the repository?
The last part of my question: For the ToSelectList() extension method, would it be possible to write one method for each table and use it generically even if some tables have different columns ("Id" and "Name" versus "Id" and "CampaignName").
Forgive me if this is too general, I'm just trying to avoid going down a dead-end road - or one that will have a lot of potholes.
I wouldn't provide an IEventService for my view model object. I prefer to think of the view model object as a dumb data transfer object. I would let the controller take care of asking the IEventService for the data and passing it on to the view model.
I'd essentially be pulling all data
back from the database for a few
different tables and converting them
to an IEnumerable
I don't see why this would be inefficient? You obviously shouldn't pull all data from the tables. Perform the filtering and joining you need to do in the database as usual. Put the result in the view model.
Also, if all I have is methods that
get data for a dropdown, should I just
skip the service layer and go right to
the repository?
If your application is very simple, then a service layer may be an unneeded layer of abstraction / indirection. But if your application is just a bit complex (from what you've posted above, I would guess that this is the case), consider what you will by taking a shortcut and going straight to a repository and compare this to what you will win in maintainability and testability if you use a service layer.
The worst thing you could do, would be to go through a service layer only when you feel there is a need for it, and go straight to the repository when the service layer will not be providing any extra logic. Whatever you do, be consistent (which almost always means: go through a service layer, even when your application is simple. It won't stay simple).
I would say if you're thinking of "skipping" a layer than you're not really ready to use MVC. The whole point of the layers, even when they're thin, is to facilitate unit testing and try to enforce separation of concerns.
As for generic methods, is there some reason you can just use the OOB objects and then extend them (with extension methods) when they fail to meet your needs?
I am investigating WPF's MVVM design pattern. But am unsure where to put the Data Acess code?
In some examples I have looked at, data access is performed directly in the ViewModel. It seems odd to put something like linq to sql in the ViewModel? Other examples have a seperate project for Data Access, this seems more like it?
Is this there a general approach? I feel like I am missing something here!
Thanks
Here's how I've been organizing my MVVM w/ LINQ projects:
Model - I think of the Model as the state of the system. It provides an interface to the data, and it keeps track of system status. The Model does not know about the ViewModel or View--it just provides a public interface to its data and various events to let the consumers (usually ViewModels) know when the state has changed.
ViewModel - The ViewModel is in charge of organizing or structuring all the data needed by the View, keeping track of the status of the view (such as the currently selected row of a data grid), and responding to actions on the view (such as button pushes). It knows what the view needs, but it doesn't actually know about the view.
View - The View is the actual look and feel of the UI. It contains all the built-in and custom controls, how they arranged, and how they are styled. It knows about the ViewModel, but only for the purpose of binding to its properties.
Gateway - This is the part that directly addresses your question. The Gateway (which is basically my way of saying "DataAccessLayer") is its own separate layer. It contains all the code (including LINQ queries) to CRUD or select, insert, update, and delete data from/to your data source (database, XML file, etc.). It also provides a public interface to the Model, allowing the Model to focus on maintaining system state without having to concern itself with the details (i.e., the queries) needed to update the data source.
DataAccess Classes - In C#, these are very simple classes that model your elemental data objects. When you select something using a LINQ query, you will usually create an IEnumerable<T> or List<T> where T is one of your data objects. An example of a data object would be:
public class Person
{
public string Name { get; set; }
public int Age { get; set; }
}
The big advantage of a design like this is that it really separates your concerns. Everything has a specialized job, and it's (usually) pretty easy to know what kind of thing goes where.
The disadvantage is that it may be overkill for small projects. You end up creating a lot of infrastructure for public interfaces that basically pass a single wish through several layers. So, you might end up with a scenario like this: [user clicks Submit, ViewModel tells Model to AddNewPerson, Model tells Gateway to InsertPerson] instead of a scenario like this [user clicks Submit, ViewModel adds new record to the database directly].
Hope that helps.
I would add another layer, essentially what you want is a data factory. You want to create a set of classes that will CRUD to the database for you and return clean POCO objects to the ViewModel.
A good example to look at would the Nerd Dinner book. It covers MVC not MVVM but the patterns are very similar and the way they access data in that solution would be good starting point.
Hope this helps.
Data access should not be in the view model, as this is supposed to be a view specific (possibly simplified) representation of the domain model.
Use a mapper of some sort to map your view model (the VM in MVVM) to your model (the first M). New objects in your model can be created using the factory pattern. Once created, you can store them in a database using the repository pattern. The repositories would then represent your data access layer. In your repository you could use an O/R mapper like NHibernate or Entity Framework.
EDIT:
I see that GraemeF suggests putting the data access code in the model. This is a NOT a good approach, as this would force you to update your domain model if you were to move from e.g. SQL Server to Oracle or XML files. The domain objects should not have to worry about how they are persisted. The repository pattern isolates the domain from its persistence.
MVVM stands for Model, View, and ViewModel. The piece you are missing is the Model, which is where your data access code lives.
The ViewModel takes the Model and presents it to the View for display, so typically you would have something like this:
class PersonModel : IPerson
{
// data access stuff goes in here
public string Name { get; set; }
}
class PersonViewModel
{
IPerson _person;
public PersonViewModel(IPerson person)
{
_person = person;
}
public Name
{
get { return _person.Name; }
set { _person.Name = value; }
}
}
The PersonView would then bind to the properties of the PersonViewModel rather than directly to the model itself. In many cases you might already have a data access layer that knows nothing about MVVM (and nor should it) but you can still build ViewModels to present it to the view.
Your ViewModel should be a thin layer that just services the view. My rule of thumb: if it has to do with the presentation of the UI, then it belongs in the ViewModel, otherwise it should be in the Model.
The WPF Application Framework (WAF) contains a sample application that shows how the Model-View-ViewModel (MVVM) pattern might be used in combination with the Entity Framework.