I'm using MVC 4 and EF and I'm new to both. I've created an entity named TimesheetModel from an existing DB.
Question: When creating a controller (using the EF framework template) I have several options available to me under both "Model Class" and "Data Context class" dropdowns. By convention, would one usually create a controller per each model you needed to access? And the same for data-context? Also I'm not 100% sure on the data-context portion either.
I've gone through a few tutorials this morning on the topics but they seem to shy away from explaining the "why" you select what you select in those fields. Halp meh! Thx
In the Model Class, you select the class which you want EF to generate its Actions.
In the Data Context class, you type in the "Context" class in which all classes are declared. The context usually is the class which is the main where all starts exactly. If u used code first, you first create Context class, which shows which other classes are creating under it. Otherwise, if u do Database First, then the context is the name of the database usually.
Hope I could explain so you could understand.
The data context represents your database. Usually, in small application, there is only one.
The Model represents an entity, that almost always represents a table in database.
By convention, would one usually create a controller per each model
you needed to access?
It depends on the model. If you have a User class, you usually need to have a UsersController, to create, update and delete an user. If you have a UserRole class, you don't need an UserRoleController because it has a relation with User and you can use UsersController to handle UserRole too.
Keep in mind that there is no rule for that. You can do whatever you want. The Scaffolding of the MVC is just for teaching proposes.
Related
I understand the fact that generating a model based on the DataBaseFirst method woill produce a collection of entitites on the ORM that are essentially mapped to the DB tables.
It is my understanding, that if you need properties from other entities or just dropdownlist fields, you can make a ViewModel and use that class as your model.
I have an AppDev course that I just finished and the author wrote something that if I understand it correctly, he is referring to change the ORM entities to fit what your ViewModels would look like, hence, no need for ViewModels. However, if you do this, and regenerate the ORM from the database, those new entities that you placed as "ViewModels" would be gone. If you changed the ORM to update the database, then your database structure in SQL Server would be "undone".
Please inform me if my understanding is correct that I simply need to use a ViewModel in a separate folder to gather specific classes and or properties in a superclass or a single class with the properties that I just need and use that as my model....
Here is the excerpt from the author:
EntityFramework is initially a one to one mapping of classes to tables, but you can create a model that better represents the entities in your application no matter how the data is stored in relational tables.
What I think the author may have been hinting at is the concept of complex models. Let's say, for instance, that in your Database you have a Customer Table and an Address Table. A one to one mapping would create 2 model items, one Customer class and one Address class. Using complex model mapping, you could instead create a single Customer class which contained the columns from both the Customer Table and the Address table. Thus, instead of Customer.Address.Street1 you could refer simply to Customer.Street1. This is only one of many cases where you could represent a conceptual model in code differently than the resulting data in storage. Check out the excellent blog series Inheritance with EF CodeFirst for examples of different mapping strategies, like Table Per Hierarchy (TPH), Table Per Type (TPT), Table Per Concrete Class (TPC). Note that even though these examples are CodeFirst, they still apply to Entity Framework even if the initial models are generated from a Database.
In general, if you use DatabaseFirst and then never modify the resulting entities, you will always have a class in code for each table in the database. However, the power of Enity Framework is that it allows you to more efficiently work with your entities by allowing these hybrid mappings, thus freeing you to think about your code without the extra burden of your classes having to abide by rigid SQL expectations.
Edit
When the Database-First or Model-First entities are generated, they are purposely generated as partial classes. You can create your own partials which extend the classes that are generated from Entity Framework without modifying the existing class files. If the models are re-generated, your partial classes will still be intact. Granted, using partials means that you have the Entity Framework default behaviors as well as your extended behaviors, but this isn't usually a huge issue.
Another option is that you can modify the TT files which Entity Framework uses to generate your models, ensuring that your models are always regenerated in the same state.
Ultimately, the main idea is that just because the default behavior of Entity Framework is to map the database to classes 1:1, there are other options and you are never forced into something that isn't efficient for your project.
I'm learning ASP.NET MVC and I'm having some questions that the tutorials I've read until now haven't explored in a way that covers me. I've tried searching, but I didn't see any questions asking this. Still, please forgive me if I have missed an existing ones.
If I have a single ASP.NET MVC application that has a number of models (some of which related and some unrelated with each other), how many DbContext subclasses should I create, if I want to use one connection string and one database globally for my application?
One context for every model?
One context for every group of related models?
One context for all the models?
If the answer is one of the first two, then is there anything I should have in mind to make sure that only one database is created for the whole application? I ask because, when debugging locally in Visual Studio, it looks to me like it's creating as many databases as there are contexts. That's why I find myself using the third option, but I'd like to know if it's a correct practice or if I'm making some kind of mistake that will come back and bite me later.
#jrummell is only partially correct. Entity Framework will create one database per DbContext type, if you leave it to its own devices. Using the concept of "bounded contexts" that #NeilThompson mentioned from Julie Lerhman, all you're doing is essentially telling each context to actually use the same database. Julie's method uses a generic pattern so that each DbContext that implements it ends up on the same database, but you could do it manually for each one, which would look like:
public class MyContext : DbContext
{
public MyContext()
: base("name=DatabaseConnectionStringNameHere")
{
Database.SetInitializer(null);
}
}
In other words, Julie's method just sets up a base class that each of your contexts can inherit from that handles this piece automatically.
This does two things: 1) it tells your context to use a specific database (i.e., the same as every other context) and 2) it tells your context to disable database initialization. This last part is important because these contexts are now essentially treated as database-first. In other words, you now have no context that can actually cause a database to be created, or to signal that a migration needs to occur. As a result, you actually need another "master" context that will have every single entity in your application in it. You don't have to use this context for anything other than creating migrations and updating your database, though. For your code, you can use your more specialized contexts.
The other thing to keep in mind with specialized contexts is that each instantiation of each context represents a unique state even if they share entities. For example, a Cat entity from one context is not the same thing as a Cat entity from a second context, even if they share the same primary key. You will get an error if you retrieved the Cat from the first context, updated it, and then tried save it via the second context. That example is a bit contrived since you're not likely to have the same entity explicitly in two different contexts, but when you get into foreign key relationships and such it's far more common to run into this problem. Even if you don't explicitly declare a DbSet for a related entity, it an entity in the context depends on it, EF will implicitly create a DbSet for it. All this is to say that if you use specialized contexts, you need to ensure that they are truly specialized and that there is zero crossover at any level of related items.
I use what Julie Lerman calls the Bounded Context
The SystemUsers code might have nothing to do with Products - so I might have a System DbContext and a Shop DbContext (for example).
Life is easier with a single context in a small app, but for larger application it helps to break the contexts up.
Typically, you should have one DbContext per database. But if you have separate, unrelated groups of models, it would make sense to have separate DbContext implementations.
it looks to me like it's creating as many databases as there are
contexts.
That's correct, Entity Framework will create one database per DbContext type.
First of all I want to ask that what is the difference between Entity Class and our Model Class ?
And when I use to add Data Annotations on the Entity Classes generated by the Entity Framework in Database approach, it's vanished upon every "Update From Database", and for this user defined Model Classes can be used but I have no idea to use them with the generated Entity Classes.
An entity class is a class that directly associate's with a real object and is linked to business logic and holding information about the system. Entities are usually used to establish a mapping between an object and to a table in the database.
Models are simply classes that are associated with a views and controllers which define or contains the definition of an object and when there has been a change in state. These can hold your data annotations to validate before going up to the Business/Data Access layers...
This leads me on to your next question and if using EF to generate your data model classes using the "database first" approach, then you cannot apply the data annotation attributes directly to your classes. Because the EF Designer generates the model classes, any changes you make to the model classes will get overwritten as you have been experiencing. If you want to use the validators with the classes generated by EF then you need to create meta data classes: http://blogs.microsoft.co.il/blogs/gilf/archive/2011/01/20/adding-metadata-to-entities-in-the-data-model.aspx
Hope that helps.
Danny
I'm coming to the end of my first MVC project, and I'm not overly happy with how I constructed my Model objects and I'm looking for some ideas on how to improve them.
I use repositories for each DB table with Get, Save, Delete etc methods.
The repositories use Linq2Sql for the DB access.
I do mapping from the Linq2Sql objects to MVC Model objects, in the main, these are very much 1 to 1 mappings.
My problem is, I don't think my MVC model objects were granular enough, and I am probably passing more data back and forth than needed.
For example, I have a User table. An admin can edit a users details as can the user themselves, so I reckon I should really have a "AdminUserModel" and "UserModel" objects, where "AdminUserModel" has a greater set of values (IsEnabled for example).
So my bigger question is really, what kind of architectures are people using out there in the wild, in order to map many similar, related Model objects down through the layers to the DB?
Any sample architecture solutions anyone can suggest beyond NerdDinner?
thanks in advance!
In the case of your user model, you should use inheritence in stead of 2 seperated models. In this way you can use the code that was created for user in the ones that inherite from it.
the type of model you use depends completely on what you want to do with it. A good thing might be to take a look at patterns and try to get the patterns working that are needed for your situation...
I usually take implement inheritance in my models.
I usually have a base class of entity, which will have id, datecreated, valid and any other fields that are shared between entities (publishStatus, locked etc).
If needs be you can create other base classes inheriting from entity: person entity, product entity etc.
this way you can have a generic repository base, constrained to Entity or IEntity, i find that most entities CRUD functions dont need much more behaviour than that provided by the generic base (perhaps you will need to add a few additional get methods for some types)
In your case, AdminUser could inherit from User
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ASP.NET MVC - Linq to Entities model as the ViewModel - is this good practice?
Is is OK to use EF entities classes as view models in ASP.NET MVC?
What if viewmodel is 90% the same of EF entity class?
Let's say I have a Survey class in Entity Framework model. It 90% matches data required for view to edit it.
The only difference from what view model should have - is one or several properties to be used in it (that are required to populate Survey object because EF class cannot be directly mapped onto how it's properties are represented (sub-checkboxes, radio groups, etc.))
Do you pass them using ViewData[]? Or create a copy of Survey class (SurveyViewModel) with new additional properties (it should be able to copy data from Survey and back to it)?
Edit:
I'm also trying to avoid using Survey as SurveyViewModel property. It will look strange when some Survey properties are updated using UpdateModel or with default binder, while others (that cannot be directly mapped to entity) - using SurveViewModel custom properties in controller.
I like using Jimmy Bogard's approach of always having a 1:1 relationship between a view and a view model. In other words, I would not use my domain models (in this case your EF entities) as view models. If you feel like you are doing a lot of work mapping between the two, you could use something like AutoMapper to do the work for you.
Some people don't like passing these model classes all the way through to the view, especially as they are classes that are tied to the particular ORM you're currently using. This does mean that you're tightly binding your data framework to your view types.
However, I have done this in several simple MVC apps, using the EF entity type as the Model for some strongly-typed views - it works fine and is very simple. Sometimes simple wins, otherwise you may find yourself putting a lot of effort and code into copying values between near-identical Model types in an app where realistically you'll never move away from EF.
You should always have view models even if they are 1:1. There are practical reasons rather than database layer coupling which I'll focus on.
The problem with domain, entity framework, nhibernate or linq 2 sql models as your view classes is you cannot handle contextual validation well. For example given a user class:
When a person signs up on your site they get a User screen, you then:
Validate Name
Validate Email
Validate Password Exists
When an admin edits a user's name they get a User screen, you then:
Validate Name
Validate Email
Now expose contextual validation via FluentValidation, DataAnnotations Attributes, or even custom IsValid() methods on business classes and validate just Name and Email changes. You can't. You need to represent different contexts as different view models because validation on those models changes depending on the screen representation.
Previously in MVC 1 you could get around this by simple not posting fields you didn't want validated. In MVC 2 this has changed and now every part of a model gets validated, posted or not.
Robert Harvey pointed out another good point. How does your user Entity Framework display a screen and validate double password matching?
On bigger projects, I usually split up business objects from data objects as a matter of style. It's a much easier way to let the program and database both change and only affect the control (or VM) layer.