I have seen lots of tutorials and examples using Model-View UI design patterns, and they all implement them pretty differently, especially the Model part. In some examples Model is data (actual object representation of some DB) in some it's data access layer (like repository pattern) in some it's service layer...
If someone tells you he is using MV* pattern in his app, what will it tell you about app design? Does it maintain in-memory representation of database in object graph and use it as data source or some data access layer to query data base...
What you will choose as a Model for data oriented smart client app containing mostly Tab Pages with Tables?
The word model is used in, at least, two senses. There is your domain model. Here the sense is how you represent your data. There are many ways to structure your data and also many ways to access it. When we talk about the model in this sense we're not particularly concerned with how you are accessing the structures that make it up, i.e., the data access or persistence layer, although you may also hear people speak of the model of persistence. By this, people mean the particular philosophy that the persistence implementation uses, such as ActiveRecord or Repository. You might also hear these referred to as patterns.
Finally, the word model has a very specific meaning in MVC, MVP, and MVVM in the context of a view. In that context it means that particular data object associated with a view, the view model. This could be one of your domain objects, but more typically it is a view-specific object that encapsulates data from one or more domain objects along with ancillary data such as user data that is used by a particular view.
For your application, choose the persistence model that best suits your development environment and language -- LINQ to SQL, LINQ to Entities, nHibernate, Castle ActiveRecord, etc. in the MS world Create view-specific models (classes) for each of your views that hold the data needed by that view. Use your controllers to query your domain model to extract the information needed by the view and map that onto the view model.
If someone says, he is using MV* pattern, it means the application is split into several parts, acting without a direct reference to a specific type, it doesn't say anything about the actual implementation. MVVM means, you have a Model, a ViewModel and View part, that's all.
The model is your data storage. This doesn't say anything of the implementation of it, it can be anything, depending on the task at hand. However, it should be accessed using interfaces, so you can quickly exchange the implementation. That, in a sense, is the whole point of the MVVM pattern - decoupling of the three tiers via interfaces.
Your description sounds alot like my project at the moment - I use sqlite as backing storage with Entity Framework as ORM. However, I also use T4 to generate Dto objects which then get mapped via automapper in the ViewModel, as those only need the data, not the persistance.
The model typically refers to the data layer, but as I discovered, in MVC this can be a little msleading when implementing an ntier approach. The reason for this is that the model is not contained in it's own assembly.
Here is some of very useful feedback I got to a similar question Confussion over MVC and entity model
A model can be considered as data container that facilitates rendering presentation component and/or persisting data to/from data source (i.e. database etc). Besides the data container elements, a model may or may not contain behavior, depending on design context of corresponding architecture.
While the term “Model” is frequently discussed and used in Model-View-Controller pattern context, it is one of most important consideration in current world of software architecture
You may want to look the following article where few popular and new design patterns that are related to presentation component and model are described.
Related
In my quest to understand MVP-VM design pattern in preparation for a new project which will be using DevExpress, I am unable to find an example with a database example.
Viewing DevExpress, I am unable to locate an example with this design pattern.
So, my question is this, does anyone who has experience of this design pattern, if you have experience of this with DevExpress even better, can give me an example of database connection, mapping data from a database (query/table) to model, and saving data to the database?
I appreciate this may sound rather an elementary question, but I do not know with this pattern what is the best practice for taking data from the view to persist to a database, and vice versa. Therefore, I do not wish to go off and doing incorrect.
Thanks
Classic architectures define the following parts:
DAL (Data Access Layer) : Deals with db operations, contains no business logic.
BLL (Business Logic Layer) : Deals with business logic and constraints, but no database operations.
PL (Presentation Layer) : Deals with presentation and user interaction.
MVP/MVVM deals with PL only. The big question is, what exactly is the M(odel) in this patterns. One example is using Entity Framework or DevExpress XPO to map objects to the database. But what are this objects? Are they the VMs? Are they the Model(s)? Or are they just simple Dtos of the Dal? If you look at the previous definitions, the last one will be the most matching one. But that means you have to map this dtos to you model objects (where the logic resides) and to you vms (where the databinding happens) or first to your model and in a second step from there to your vms? What about the filtering/sorting/paging capabilities of the datagrid, that only works if you give it direct access to you dal?
In my opinion true separation of the three aspects could only be achieved with CQRS or similiar architectures. At least I don't know of others. But this is only for extreme complex applications with lot of business logic and comes with much overhead and trade offs.
So, for your app, you have to decide which barriers you will break to suite your needs and to avoid needless complexity for your project. A simple CRUD application could use Entity Framework/XPO and use the objects directly as VMs for databinding. You have no bll at all. If it grows more complex you perhaps go a little bit in the direction of cqrs. You define views and use EF/XPO and their objects directly for databinding, but for complex operations you create a bll (domain)model with objects (that are loaded with EF/XPO either) that execute theese operations (needing to reload you vms afterwards). And if it is even more complex, you could go the complete way to CQRS perhaps with event sourcing and perhaps modeling with DDD.
I am looking to implement the Onion Architecture into our ASP.NET MVC application. I understand the need to separate View Models from Domain Entities, however I am finding myself writing redundant code. There is redundant code because my view models and domain entities look exactly the same with the exception that my view models have the [Serializable] data annotation. I need these models serializable because I am using ASP.NET Session State in which the State Server needs objects to be serializable.
I personally feel the domain entities should NOT be serializable because it would then become dependent on a particular technology. However, how can I avoid redundant code?
I should add that my service methods are dependent on these serializable data models.
I would avoid annotating my domain objects with anything persistence or non-domain related. This way, my Domain project wouldn't depend on another layer and I won't have it cluttered with things that aren't relevant to the Domain. While we need to bend the rules, I prefer bending them in a way not involving dependency on a persistence detail.
The point is to keep the layers focused on their purpose because it's very easy to mix'em up and create (in time) the big ball of mud.
In your case, I have the feeling you don't really have a rich domain or it's improperly modeled. It seems you only have data structures and your needs are CRUDy.
If you are certain the app won't evolve to become more complex i.e it will be just data structure manipulations then you can have one model to use them for all the purposes. Basically you can cut corners and use the 'business' model for everything. No need for abstractions and other stuff.
But if you think the app will evolve or they are or will be business rules and processes i.e you'll need to model behaviour as perceived by the business, then it's best to keep things very decoupled, even if at this stage they seem to be identical.
To make it easier, for your view model you can define one (with copy paste) and use automapper to map the business object to the view model one. Other approach maybe that your query service/repository/object could return directly that view model (map the query result to the view model)
Viewmodels can contain domain entities/models. My domain entities are partial classes and all (eventually) inherit from a base entity which is serialized. Since I use my domain models within some of my viewmodels, I use data annotations on the domain models as well. Your domain model library should not depend on/reference anything else (domain driven).
I wouldn't call [Serializable] a data annotation per se, since it's part of the core .Net platform (mscorlib.dll). Data Annotations refers to specific attributes used to perform data validation and other operations in ASP.Net or Entity Framework.
Should an Entity be [Serializable] ? Probably not, but I don't think this attribute is as "adulterating" to your domain layer as other attributes that come from external, web- or persistence-oriented libraries. It doesn't tie you to a particular third-party framework.
The whole "redundant code" issue depends IMO on the type of system you're building. In a genuine DDD application, duplication between Domain entities and View Models will probably not be all that blatant, and the benefits of a separate presentation model will typically outweigh the costs. A good article on that subject : Is Layering Worth The Mapping ?
So my programming background is very self-taught and sporadic. I am working on an MVC4 project and am trying to focus on best practices rather than just functionality.
The general sense of the project is a report generator. So I am trying to understand what exactly Domain Model vs View Model are, and how they related to the models used for CodeFirst Entity Framework. Any tips are appreciated.
From my understanding, let's say my Report object has multiple properties, but for the view I only want a user to be able to edit certain properties, then the ViewModel would be something that maps between the Report object and the user input?
Sounds like you've got the right idea. A ViewModel is the View representation of the domain entity. This can be applied to both data coming in and data going out of the model.
But, the extra layer (and mappings) also increase complexity of the code. You now need a view model class, a mapper class, and a domain entity (EF). So, if you can build what you need without this extra layer, then keep it simple. Domain models and domain modeling should only be used for a business domain that is significantly complex.
Yes your understanding is correct.
View model is data object used by your view. It contains properties necessary either for showing some data to user or collecting data from user. Those properties doesn't necessarily be only data. For example you can have some properties used to control if any field in the input form will be enabled or disabled.
Domain model on the other hand is object used for your logic and persistence. Again it doesn't necessarily contain only persisted properties. There can be other properties computed from persisted properties and there can be also methods working on top of properties.
In some very simple scenarios view model and domain model can be represented by the same object.
This is what I've seen in a few examples, what I've used for the last couple years and feel comfortable with, and was also the pattern already in use by a preexisting MVC team when I came into my most recent job.
Basically entity framework, or whatever ORM your using, will have Entity classes. These are either simple POCO's or something heavier with some ORM's. The goal is for the relationships between entities to closely resemble reality, and as such they are in a way your "Domain models". Either way, you will often find that you're view needs to either flatten properties from child/parent objects, or as you mentioned, only display certain fields.
Often times you will also need additional fields on the view model. For example, the options for a dropdown list, as these aren't part of the entity(only the foreign key that indicates which item is selected is in the entity, but not the list of items from which the user can select).
So unless your view is simple enough to be able to use the #model of your EF entity, often times you may need a ViewModel(VM) class. Some people have a different VM for each view. I personally try to reuse my VMs. Usually a PersonSummaryViewModel which is just a few fields good for things like select lists or indexes where space is limited and I will only display important fields, and a PersonViewModel which are all the fields from the entity, as well as fields for items for dropdown lists(but when used on a readonly page those are simply left null).
Personally I like to name things PersonVM and PersonSummaryVM but others prefer more verbose naming of PersonViewModel. EF will give your entities names like Person, but I've seen other ORM frameworks suffix all of the classes with Entity so you have PersonEntity. I've come to be fond of the Entity suffix personally.
If your database is well designed, it is likely that your entity classes are pretty close to what some would consider your domain model.
We have classes that expose static methods which we call to retrieve data. The controllers have little to no database code in them, and instead all of that are in static methods like PersonModelFactory.GetList(), PersonModelFactory.GetSingle(int id), .Save(PersonVM person) which are responsible for querying the database, and populating the data from the entities into the view models, and then returning a view model. These methods also perform certain validation(beyond what basic things you can do with data annotations on your view models), and other business logic IF it is something that should occur in tandem with whatever database modification is occurring. There's more to the implementation details involving interfaces and generic parameters that are aimed at making these methods very reusable but it is a little complicated for the scope of this post. We've actually successfully reused these classes from both web forms and MVC, so they've proved there re-usability. Some people wouldn't like the fact the DB access, mapping, and business logic/validation occurs in the same layer, but since the DB modification shouldn't occur unless validation passes, we felt it was important for these things to be atomic and mutually dependent.
It is probably more common for people to use the "repository pattern" for database access layer with MVC, and there are even scaffolding for MVC to generate these classes for you. However, these generally won't handle mapping or business logic.
Either way, the main goal is reuse and minimizing the clutter in your controller actions. Before adopting the factor pattern I mentioned, I found my controllers becoming cluttered. I saw opportunities for code to be reused between actions, and thus I was creating private methods in the controller. I really like the factory pattern the team I'm on now uses alot more.
You will definitely find many variations of how people use view models and repositories.
I cannot recall having seen any articles or examples that speak specifically about "domain models" in the context of MVC. IMO domain modelling is part of the requirements gathering process, and then the design of the database/entity framework will reflect the results of those findings. Given limitations of time/resources/complexity you may simplify the domain model. There are frameworks that deal with things like domain languages and what not, I don't think that kind of thing is very common.
Before there were ORMs, there were people doing alot of mapping manually between the database layer(consisting of command objects running SQL), into "business objects" which were often POCOs, basically what you have as EF entities, but sometimes they had some business validation/logic incorporated somehow. Now I don't hear people talk about "business objects" hardly ever because the purpose that layer served has mostly been replaced with EF, and the business logic is either in controller actions or in some other service layer.
Over the years, one thing is certain, what "view model", "business model", "entity", and "domain model" mean to different people will vary.
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Where to write Database and Business logic in MVC?
I have just started with MVC3 pattern. How do we do data access in MVC3? Do we make the 'MODEL' as Data Access Layer or Do we add another 'DAL' layer and call it from 'MODEL' Layer?
Your model should be independent of data-access stuff, which will allow you to change your DAL strategy in the future.
You should be feeding the model from the DAL, but the model shouldn't know how it is being constructed, and certainly shouldn't have any database-specific code in it.
If you take the approach I suggest, look at AutoMapper - a very useful tool for mapping data between DAL and model classes.
When I was working with my last MVC3 project, my understanding from the various samples (such as GeekDinner) was that the Entity Framework serves as the Data Access Layer.
Your Model can be a directly mapped data access object, but don't necessarily have to be. They could just as well be proxies through to your backend DAL which is always going to be the better option depending on your requirements and longevity of the project.
The way I tend to handle it for larger projects is to have a separate namespace called Project.Entities which contains my Entity Framework data models. My Project.Models would contain models which use the Entities as a backing store for their data, and provide common methods (Where necessary) to manipulate that data. It may not be the best way to do it, but provides the most flexibility, and sticks to keeping data models separate from the backing store which allows more abstraction. For example, you can always switch out the underlying data layer to in-memory storage, another DAL than Entity Framework or whatever else.
For smaller/temporary/test projects, my Entity Framework data models will be straight in Project.Models and used directly as it's quicker and doesn't require so much thought.
No, model is not data access. Model is a buch of classes to hold data, and it generally does not contain code other than, possibly, to verify the assigned values are permitted.
You access data from controllers. In which way you do that is completely up to you and MVC is not concerned.
Model is your view model, not your domain model.
If you want to do DAL activity, I would tend to wrap it in repository/service that can be injected into your controllers.
This stops your controllers getting bloated and also allows you to mock your DAL layer for unit testing the controllers.
I have an ASP.NET app with a three layer architecture:
Presentation layer: ASP.NET
Bussiness Layer: C# library.
Data Access Layer: C# library with
ADO.Net Entity Framework objects.
Some methods on Bussiness layer would return ADO.NET entity objects but, data access layer is not visible at Presentation layer I can't do that.
My question is: On a design view, Is it correct to expose Entity Objects in the Presentation Layer? I think I only have to link Data Layer library with ASP.NET app.
Thank you!
It's absolutely desirable to have your entity objects available for use and consumption in your presentation tier. That's what all the work is for.
Binding collection of objects to a grid/listview/dropdown
Splashing a single object (i.e. customer) onto a form for read/update/delete
This makes your life easier by far. Otherwise you'd have to pass string after int after double after string between your presentation and business layers.
These may be Entity objects or even your own POCO objects that were hydrated from the Entity objects.
I would even go so far as to say that your Entites should be in their own assembly separate from the DAL.
I suggest that you look into the concepts of View objects...or Data Transfer Objects (DTO). You might consider using a tool like AutoMapper or similar which will create a view specific domain object out of your entities. In general you may have screens that need an entity present to perform its work. But more often than not you will need to pass several different entities. In this case you are better off creating one DTO that contains all of these entities. By doing this you are adding a layer of separation between your presentation layer and your business layer. Often times your entities have more power than you might want to expose to your presentation layer. And...vice versa. Frequently you may need to get some UI messages out to the presentation layer based on some validation flagged in your business layer. Rather than make your ui more complex than it needs to be (by passing in your full entities) you can only pass in what the UI needs in the form of the DTO. Also, there is never a need for your business objects to care about anything specific to the presentation layer. I suggest that you not databind directly to anything as far back as the data access layer. Technically your presentation layer should know as little as possible about your business layer. In the case of MVP or MVC this is very easy to achieve by disconnecting the front end and the back end by way of this additional separation!
I think no, it is not, the best way to do that is to separate data classes from behavior, and reference only data classes in presentation level.The good approach I think to use WCF see this link
See Supervising Controller and Passive View
If you pass the Entity, you are essentially Supervising controller. Otherwise you are Passive View.
Supervising controller is less work, but less testable. Supervising Controller also says databinding is OK.
Passive view is testable but a LOT more work. No databinding. Lots of properties.
Typically I stick with Supervising Controller. You typically don't need that level of testability and it isn't worth the extra trouble.