Domain Driven Design query between aggregates - c#

Im new in DDD and I would like yours advise.
In my UI I need to view data from 2 aggregates.Im using EF Core and as I have read its better to keep only one navigation between entities so not to mix two aggregates and avoids serialization issues due to circular references.
How should I make the query?
Do I need to create a new view whenever I need data from 2 aggregates?
If needs to create views in which layer this view can exist? In infrastructure persistance layer or domain?
Thank you

How should I make the query?
With the simplest and fastest technology you can use. I mean: if building the query with EF Core requires several steps and a lot of extra objects, change approach and try with a direct SQL request. It's query, something you can test fast and you can change equally fast, whenever you need to do.
Do I need to create a new view whenever I need data from 2 aggregates?
You don't. With a view you hide away (in the view) the complexity oft the data read (at the code to change the DB every time the data to show should change), with the illusion/feeling that you manage an entity. Or course it should be clear that the data comes from a view. A query, on the other side, is more code related (to change the data shown you just change the query), but you also show "directly" that that data come from several sources.
Note: I've used EF Core years ago, and for a a really simple project. If with view you mean instead a view of the EF Core, than I would say yes. But only if building it doesn't require several steps/joins to gather the information. I would always think about a direct approach, when it looks that the code starts to be a bit too complex to show some data.
Here, anyway, the things can go really deep: do you have all your entities (root) in the same project? Or you have several microservices? With microservices, how do you share the data and how do you store it? Maybe a query is not viable, or it reads partially old data. As you can see, there're several thing to take into account when you have to read the data.
If needs to create views in which layer this view can exist? In infrastructure persistance layer or domain?
As stated before, if you mean a view within the EF Core, I would put really close to the layer where you're going to use it. But, it could depend. You could have a look here.
Personally I use 3 layers: domain, application and infrastructure. My views are in the application layer, because I have several queries that I reuse for different purposes. But before going into the infrastructure (where the requests are) I transform the results into the format required for UI.
DDD is about putting together all the business logic that otherwise is spread around several entities, services and even controllers. With this solution, all the actions that the domain offers could be performed without requiring extra logic outside the domain itself. Of course you need to implement the services that the domain is going to use, this is obvious.
On the other side is clear, at least for me, that the reuse is limited to the domain itself. I mean:
I can build a big query, that collects a lot of information from different sources, and reuse it for several UI views, but I've to be ready to pay the price of something that I have to touch every time something in the UI changes (anyway I need to transform this into a view related object);
I can build small, specialized queries that I use for 1, 2 (if they are the same) UI views, paying the price of more code (but simple and specialized, and really fast to test!) to maintain (here the query can produce close to/equal to view related object).
The second approach is the basic of CQRS, and I prefer that one. Remember, you can do CQRS even without event store and eventually consistency: you just take part of it, not the whole. We design to simplify our lives, not to make them harder.

Related

.NET MVC data binding methods

I realize this doesn't necessarily apply to MVC exclusively, but bear with me.
Working with entity framework and models, I've read several articles on "best practices" where some people claim using repositories and unit of work is better, others claim it's overkill and using your models directly within your controllers with linq is better, so on and so forth...
Then we have view-models and lazy loading methods, but then with linq we can use joins to add multiple "models" to our data retrieval to fetch whatever we need directly in our controller or helper class.
I realize a lot of this ties back to the "separation of concerns" that is MVC and we can create multiple layers to map our data back whichever way we want, which is great, but let's say for argument sake my app run exclusively on MS SQL, with no chance of ever transitioning to another database type, will adding all the additional layers of separation to map data back give me any real benefit? I'm just trying to understand at which point does one conclude it's better to do it this way over that way? I know some of this might consist of personal preference, but I'm looking for REAL LIFE scenarios where it's easy for me to conclude one way it better than the other AND what questions I should ask myself when deciding how many mapping layers do I need to get my data from my database to my view?
One of the real benefits is when your models or your UI need to change independently of each other. If your view is only tied to a ViewModel instead of your entity, then you can make all of the mapping changes in one place (your controller) instead of needing to go through every view that your entity is being used and making changes there. Also, with ViewModels, you have the benefit of combining multiple data sources into a single object. Basically, you get a lot more flexibility in how to implement your UI if you don't tie it directly to database tables.

Mapping Tool like EF Designer but for Data objects?

In trying to separate my domain layers and GUI and looking into all the different ways to do that, one thing that I keep asking is why is this so difficult? Why all the extra code for data obejcts and then all the extra mapping of properties copying values in and out etc. Shouldn't theere be an easier way?
Then I remeembered when i used to wite small littler db app using MS Access and, Access has the concept of a Dynaset, basically a Dynaset is a View, just like an SQL Server View, except it is an updateable view. So, a MS Access form would be based of the View/Dynaset and therefore would not have to know the details of all the individual tables involved. Sounds like the Data objects pattern to me. Now, since Access has had this for 2 decades, shuoldn't there be a similar Dynaset, View, Mapping tools for Entity Framework, one that abstracts away the entities from the presentation? Is there one I am not aware of? 3rd party?
Thoughts on this?
If I understand you correctly, you may be looking for Entity Framework with POCO entities. You can find templates for them in the online gallery for templates (when you Add New Item in the project). Alternatively you can use right-click in your .edmx design view, select "Add code generation item" and pick the Fluent Generator.
These methods create multiple files instead of the default all-in-one EF generated file. One such file is the DbContext (as opposed to ObjectContext), one contains only entities (in the form of regular C# objects, no attributes or anything, just plain objects) and the last contains generated mapping in the form of fluent rules.
In this phase you can de-couple the entities file from its template and move it to another assembly. And voila, you have entities independent on the EF infrastructure. You can just pass the context these entities like you would before, and it'll do mapping by itself.
Alternatively you can use tool like AutoMapper, but you'll have to provide the mapping manually, which is a lot of work, but may be good in some cases.
Good design requires work. If it was easy, everyone would do it automatically. After all, everyone wants to do the least amount of work possible.
All the things you are complaining bout are part of the good design process, and there is no getting around them if you want a good design.
If you want to take shortcuts, then by all means, skip them. It's your code. nothing requires you to do things any specific way.
Access can do a lot of things because it's a desktop application, not a web application. Web applications are fundamentally different from desktop applications in how you design them, how they work, and what issues you face with them. For instance, the fact that you have a stateless environment and cannot keep result set from request to request makes many of the things people take for granted in Access impossible to do in a web app.
Specifically, if you want to use views, you can do so. Views are updateable if they are properly designed, but typically require update statements that only affect one table in the view). EF can work with views as well, but it has a lot of quirks you must deal with.
The data mapper pattern has emerged as a common pattern in web design because it's the easiest and straight forward way to have clean separation of concerns between layers and/or tiers. I suggest you find ways to make them work within your development process.
It may also be that MVC is not the most appropriate framework for you to use. It sounds more like you want to build Web apps the way you did Acceess, in which case Visual Studio Lightswitch may be a better choice for you.
http://msdn.microsoft.com/en-us/library/ff851953.aspx

How to handle views in a multilayer-application

I'm working on a project which has basically three layers: Presentation, business and data.
Each layer is on a different project and all layers use DTO's defined in another project.
business layer and data layer return DTO's or Lists of DTOs when querying the database.
So far so good, but now we have to query views and those views of course do not match an existant DTO. What we have done until now is just create a special DTO, business- and data-layer classes so they were treated like normal entities (minus insert, update etc.)
But it does not seem correct. Why should the be treated like normal entities when they are clearly not. Well the DTO seems necessary, but creating "business logic" and a datalayer-class for every view seems rather akward. So I thought I create one generic business- and datalayer class which holds the logic/code for all views (I still would have to create a DTO for every different view, perhaps I could use anonymous types)
What do you think about me idea or how would you solve this issue?
EDIT: 9. August 2011
Sorry, the post may have been unclear.
By views I meant Views from a sql-server.
I feel your pain completely. The fact is that in almost every non trivial project with decent complexity you will get to the point where the things you have to show to the users on UI overlap, aggregate or are simply a subset of data of business entities. The way I tend to approach this is to accept this fact and go even further - separate the query side from the business logic side both logically and physically. The fact is that you need your entities only for actual business operations and keeping the business constraints valid, and when does this happen? Only when someone changes the data. So there is no need to even build entities when you display the data.
The way I like to structure the solutions is:
User opens the view -> Query is performed only to get the specific
data for the view -> Returned data is the model (although you could
call it a DTO as well, in this case it's the same thing)
User changes something -> Controller (or service) builds the full entity from repo,
business logic action is performed on the entity -> changes are
persisted -> result is returned
What I want to say is, it is ok to treat your read side separately from write side. It is ok to have different infrastructure for this as well. When you start to treat it differently, you will see the benefits - for example you can tailor you queries to what you need on UI.
You can even get to the point where your infrastructure will allow to build your queries with different techniques, for example using LINQ or plain SQL queries - what is best for certain scenarios.
I would advise against using DTOs between layers. I'm not convinced that there's any benefit, but I'll be happy to take instruction if you think you have some.
The harm comes in maintaining multiple parallel hierarchies that express the same idea (business objects plus multiple DTOs between layers). It means lots more code to maintain and greater possibility of errors.
Here's how I'd layer applications:
view <--- controller <--- service <--- + <--- model
+ <--- persistence
This design decouples views from services; you can reuse services with different views. The service methods implement use cases, validate inputs according to business rules, own units of work and transactions, and collaborate with model and persistence objects to fulfill requests.
Controller and view are tightly coupled; change the view, change the controller. The view does nothing other than render data provided by the controller. The controller is responsible for validation, binding, choosing the appropriate services, making response data available, and routing to the next view.
Cross cutting concerns such as logging, transactions, security, etc. are applied at the appropriate layer (usually the services).
Services and persistence should be interface-based.
I've dropped most layered architectures like this as they are a pain to manage all the transformations and are over-complicated. It's typical astronaut architecture. I've been using the following:
View models for forms/views in ASP.Net MVC. This is an important decoupling step. The UI will evolve separately to the model typically.
No service layer, instead replacing it with "command handlers" (mutating operations) and "finders" (query operations) which represent small operations and queries respectively (CQS - Command Query Separation).
Model persistence with NHibernate and ALL domain logic inside the model.
Any external services talk to the finders and command handlers as well
This leads to a very flat manageable architecture with low coupling and all these problems go away.

Design Patterns: Need help understand to this concept and how it applies to my project

The past few days I have done a lot of research using the DAL/BLL/UI approach without a very clear understanding of how it will apply to my project. In the past, I have left out the BLL connecting my UI directly to the Data Access Layer (LINQtoSQL dbml). But, I do not think this is a good idea where I work now(or maybe even in the past) because we have a lot of different applications and I'd like to use the same DAL/BLL as they are built.
My question is, how does the BLL help me when, in most of my applications, all I really do is use the LinqtoSqlDataSource/GridView to connect to my datacontext to take care of all the updating/edit, etc. Also, each new web application will, at some level, require unique changes to the DAL/BLL to get the require data, possibly affecting other apps using the same DAL/BLL. Is this reuse of the DAL/BLL the right way of doing this or am I missing something?
I think the BLL comes in when I need to build, for example, a security classes for the various web applications that will be built. But, when I use the Linqtosqldatasource, why would I bother to connect it to the BLL?
DAL
LinqToSQL dbml DataContext.
Does using LinqToSQL change how I should use this design?
BLL
Security for various website used by company.
Query DAL return what(?) when using LinqToSQLDatSource., functions that handle various results sets(I am really unsure how this should work with BLL, sorry if the question is unclear)
UI
Reference only the BLL?
The DAL and BLL are separated by one often subtle, but key difference; business logic. Sounds moronically simple, but let me explain further because the distinctions can be VERY fine and yet impact architecture in huge ways.
Using Linq2SQL, the framework generates very simple objects that will each represent one record in one table. These objects are DTOs; they are lightwight, POCO (Plain Ol' CLR Object) classes that have only fields. The Linq2SQL framework knows how to instantiate and hydrate these objects from DB data, and similarly it can digest the data contained in one into SQLDML that creates or updates the DB record. However, few or none of the rules governing the relationship between fields of various objects are known at this level.
Your actual domain model should be smarter than this; at least smart enough to know that a property on an Order object named SubTotal should be equal to the sum of all ExtendedCosts of all OrderLines, and similarly, ExtendedCost should be the product of the UnitPrice and the Quantity. In many modern programs, your domain forms part of your BLL, at least to this extent. The objects created by Linq2SQL probably shouldn't have to know all this, especially if you aren't persisting SubTotal or ExtendedCost. If you rely on the Linq2SQL DTOs, you've basically tied yourself to what's called an Anemic Domain Model, which is a known anti-pattern. If the domain object can't keep itself internally consistent at least, then any object that works with the domain object must be trusted to keep it that way, requiring all those objects to know rules they shouldn't have to.
The UI should know about the domain, or if you prefer it should know some abstracted way to get the data from the domain for read-write purposes (generally encapsulated in objects called Controllers, which work with the domain layer and/or Linq2SQL). The UI should NOT have to know about the DB in any program of moderate size or larger; either the domain objects can hydrate themselves with a reference to objects in the DAL, or they are produced by custom objects in the DAL that you create to do the hydration, which are then given to the controller. The connected ADO model and interop with GridViews is admirable, but it doesn't allow for abstraction. Say you wanted to insert a web service layer in between the domain and UI, to allow the UI to be located on a mobile app that worked with data in your warehouse. You'd have to rebuild your UI, because you can no longer get objects from Linq2SQL directly; you get them from the web services. If you had a Controller layer that talked to Linq2SQL, you could replace that layer with controllers that talked to the web services. It sounds like a minor difference; you always have to change something. But, now you're using EXACTLY the same UI on the mobile and desktop apps, so changes at THAT layer don't have to be made twice just because the two layers get data different ways.
This is a great question that I have been mulling over with our catalog app for a year now. A specific instance for me might help you with the pattern.
I have a page to display the contents of a shopping cart. In the 'early days' this page had a grid populated by the results of a SQL stored procedure that, given the order number, listed the items in the cart.
Now I have a 'cart' BLL object which contains a collection of 'row' objects. The grid is the same, but the data source is the cart's rows.
Why did I do this? Initially, not becuase of any fancy design patterns. I had so many special cases to handle based on fields in each row AND I had other places I needed to show the same cart-content data, it just made more sense to build the objects. Now a cart loads from a repository and my pages have no idea what that repository does. Heck, for testing, it's hard-coded cart data.
The cart then uses a repository to load up the rows. Each row has logic to maniuplate itself, not knowing where the data came from.
Hopefully that helps?

What's the best way to set up data access for an ASP.NET MVC project?

I am starting a new ASP.NET MVC project to learn with, and am wondering what's the optimal way to set up the project(s) to connect to a SQL server for the data. For example lets pretend we have a Product table and a product object I want to use to populate data in my view.
I know somewhere in here I should have an interface that gets implemented, etc but I can't wrap my mind around it today :-(
EDIT: Right now (ie: the current, poorly coded version of this app) I am just using plain old SQL server(2000 even) using only stored procedures for data access, but I would not be adverse to adding in an extra layer of flexability for using linq to sql or something.
EDIT #2: One thing I wanted to add was this: I will be writing this against a V1 of the database, and I will need to be able to let our DBA re-work the database and give me a V2 later, so it would be nice to only really have to change a few small things that are not provided via the database now that will be later. Rather than having to re-write a whole new DAL.
It really depends on which data access technology you're using. If you're using Linq To Sql, you might want to abstract away the data access behind some sort of "repository" interface, such as an IProductRepository. The main appeal for this is that you can change out the specific data access implementation at any time (such as when writing unit tests).
I've tried to cover some of this here:
I would check out Rob Conery's videos on his creation of an MVC store front. The series can be found here: MVC Store Front Series
This series dives into all sorts of design related subjects as well as coding/testing practies to use with MVC and other projects.
In my site's solution, I have the MVC web application project and a "common" project that contains my POCOs (plain ol' C# objects), business managers and data access layers.
The DAL classes are tied to SQL Server (I didn't abstract them out) and return POCOs to the business managers that I call from my controllers in the MVC project.
I think that Billy McCafferty's S#arp Architecture is a quite nice example of using ASP.NET MVC with a data access layer (using NHibernate as default), dependency injection (Ninject atm, but there are plans to support the CommonServiceLocator) and test-driven development. The framework is still in development, but I consider it quite good and stable. As of the current release, there should be few breaking changes until there is a final release, so coding against it should be okay.
I have done a few MVC applications and I have found a structure that works very nicely for me. It is based upon Rob Conery's MVC Storefront Series that JPrescottSanders mentioned (although the link he posted is wrong).
So here goes - I usually try to restrict my controllers to only contain view logic. This includes retrieving data to pass on to the views and mapping from data passed back from the view to the domain model. The key is to try and keep business logic out of this layer.
To this end I usually end up with 3 layers in my application. The first is the presentation layer - the controllers. The second is the service layer - this layer is responsible for executing complex queries as well as things like validation. The third layer is the repository layer - this layer is responsible for all access to the database.
So in your products example, this would mean that you would have a ProductRepository with methods such as GetProducts() and SaveProduct(Product product). You would also have a ProductService (which depends on the ProductRepository) with methods such as GetProductsForUser(User user), GetProductsWithCategory(Category category) and SaveProduct(Product product). Things like validation would also happen here. Finally your controller would depend on your service layer for retrieving and storing products.
You can get away with skipping the service layer but you will usually find that your controllers get very fat and tend to do too much. I have tried this architecture quite a few times and it tends to work quite nicely, especially since it supports TDD and automated testing very well.
For our application I plan on using LINQ to Entities, but as it's new to me there is the possiblity that I will want to replace this in the future if it doesn't perform as I would like and use something else like LINQ to SQL or NHibernate, so I'll be abstracting the data access objects into an abstract factory so that the implementation is hidden from the applicaiton.
How you do it is up to you, as long as you choose a proven and well know design pattern for implementation I think your final product will be well supported and robust.
Use LINQ. Create a LINQ to SQL file and drag and drop all the tables and views you need. Then when you call your model all of your CRUD level stuff is created for you automagically.
LINQ is the best thing I have seen in a long long time. Here are some simple samples for grabbing data from Scott Gu's blog.
LINQ Tutorial
I just did my first MVC project and I used a Service-Repository design pattern. There is a good bit of information about it on the net right now. It made my transition from Linq->Sql to Entity Framework effortless. If you think you're going to be changing a lot put in the little extra effort to use Interfaces.
I recommend Entity Framework for your DAL/Repository.
Check out the Code Camp Server for a good reference application that does this very thing and as #haacked stated abstract that goo away to keep them separated.
i think you need a orm.
for example entity framework(code first)
you can create some class for model.
use these models for you logic and view,and mapping them to db(v1).
when dba give you new db(v2),only change the mapping config.(v1 and v2 are all rdb,sql server,mysql,oracel...),if db(v1) is a rdb and db(v2) is a nosql(mongo,redis,couchbase...),that's not work
may be need do some find and replace

Categories