Accessing data from a SqlDataProvider - f#

I'm using the SQlProvider in a project to query a database and perform CRUD operations. I come from C#/Entity-Framework background, so my normal approach would be to use a generic repository. The advantages to this approach is that it eliminates redundant code for CRUD operations across entity types.
I'm looking for a similar approach to take while using the SQLProvider. I can query from individual tables fine, but I'm not sure how I would go about creating a DAL in a generic manner. Any suggestions on how I shoud approach creating a generic DAL?

Related

Where should I add a List All Users function when using MVC?

I'm aware that in model-view-controller, the Model is the class part.
If I have a User class and instantiate an object, the object must refer to a single user from the database.
So I'll have the CRUD methods on the user, for that specific user.
But if I need a function to run a SELECT * FROM Users, should I create a function within the User class? Or a function in a helper file? Or in the controller? Where should it go, in order to respect the MVC pattern?
I mean, it makes no sense to instantiate a User object just to run a function to display the Users table.
I'm not sure if this will raise "primarily opinion based" flags. I just don't know where those functions should go. If you guys consider the question worth closing, it's ok. But tell me in the comments in which stack community I should ask this.
Back up a bit. Let's go foundational for a moment.
In the MVC pattern
The model is your state (in simple terms), meaning a representation of the data important to the business functionality you are working with
The view is a way of presenting the state to the user (NOTE user here could be another system, as you can use MVC patterns for service endpoints)
The controller ensures the model gets to the view and back out of the view
In a system designed with good separation of state, business functions are not present in the model, the view or the controller. You segregate business functionality into its own class library. Why? You never know when the application will require a mobile (native, not web) implementation or a desktop implementation or maybe even become part of a windows service.
As for getting at data, proper separation of concerns states the data access is separate not only from the model, view and controller, but also from the business functionality. This is why DALs are created.
Before going on, let's go to your questions.
should I create a function within the User class? This is an "active record" pattern, which is largely deprecated today, as it closely couples behavior and state. I am sure there are still some instances where it applies, but I would not use it.
Or a function in a helper file? Better option, as you can separate it out. But I am not fond of "everything in a single project" approach, personally.
Or in the controller? Never, despite Scott Gu's first MVC examples where he put LINQ to SQL (another groan?) in the controller.
Where should it go, in order to respect the MVC pattern?
Here is my suggestion:
Create a DAL project to access the data. One possible pattern that works nicely here is the repository pattern. If you utilize the same data type for your keys in all/most tables, you can create a generic repository and then derive individual versions for specific data. Okay, so this one is really old, but looking over it, it still has the high level concepts (https://gregorybeamer.wordpress.com/2010/08/10/generics-on-the-data-access-layer)
Create a core project for the business logic, if needed. I do this every time, as it allows me to test the ideas on the DAL through unit tests. Yes, I can test directly in the MVC project (and do), but I like a clean separation as you rarely find 0% business rules in a solution.
Have the core pull the data from the DAL project and the MVC project use the core project. Nice flow. Easy to unit test. etc.
If you want this in a single project, then separate out the bits into different folders so you can make individual projects, if needed, in the future.
For the love of all things good and holy, don't use the repository pattern. #GregoryABeamer has a great answer in all respects, except recommending you create repository instances to access your entities. Your ORM (most likely Entity Framework) covers this, and completely replaces the concepts of repositories and unit of work.
Simply, if you need something from your database, hit your ORM directly in your controller. If you prefer, you can still add a level of abstraction to hide the use of the ORM itself, such that you could more easily switch out the data access with another ORM, Web Api, etc. Just don't do a traditional unit of work with tens or hundreds of repository instances. If you're interested, you can read a series of posts I wrote about that on my blog. I use the term "repository" with my approach, but mostly just to contrast with the typical "generic" repository approach you find scattered all over the interwebs.
I'd use some kind of 'Repository' layer. Then, my controller calls the UserRepository GetAll method and sends the data to View layer.

EF 4.1 Code First - What pattern should I use?

I am learning EF Code First and I am struggling a bit with what patterns to use in my application. I have read many conflicting sugestions and arugments some stating you should use the Repository pattern while others say doing so is redundant, which I tend to agree.
Here is my delima:
Suppose I am building a REST Web Service that is going to allow me to manage customers. This service will allow me to add customers, delete customes, and edit customers, and find customers.
Should I:
A.) My question comes down to where should my business logic go. Should I have a CustomerManager class that provides Add, Edit, Delete, and Find methods that take in a Customer entity? Should my validation logic go in those methods?
B.) Should I use an Active Record style of development when my Customer entity would have Save(), Delete(), and Find() methods on it withall validations login being done inside of the Customer class?
C.) Should I do some type of hybrid, where simple validation logic is on the entity itself. This could be done through code first attributing. I could also have a simple save method on the entity. Then, I could do complex business validation logic, deletes(), finds(), and multi-entity saves in a CustomerManager class?
I kind of lean toward option C. In the past I have typically used Manager/Service classes keeping my entities pretty simple. However, since code first does entity property validation on the entity level, it seems like maybe all simple entity validation should go there.
I realize this could be somewhat of a religious topic, but I would like to get some other options on what would be the best way to put together a solid application.
EF 4.1 Code first combine unit of work with data mapper pattern.
So, I would not recommend use active record pattern.
Repository pattern with entity framework is common solution. If you want some simple validation logic, you can use DataAnnotations which works with entity framework well.
Here is simple example of implement repository pattern with EF :
http://www.efekaptan.com/repository-pattern-with-entity-framework-code-first-4.1

Getting Started with Repository Pattern

I'm trying to get started with the repository pattern and ASP.NET MVC, and I can't help but believe I'm missing something. Forgive me if this is a stupid question, but it seems to me like an implementation violates DRY exponentially. For example, in my (admittedly novice) understanding in order to implement this, I would have to:
Create my database model (Currently using Linq to Sql)
Create a IRepository for each concept (table or group of related tables)
Create an implementation for each IRepository
Do we return L2S objects or some sort of DTO?
Create viewmodels which either are containers or copies of the data
Use some method of DI (Windsor or Unity?) on the controllers
While I realize scalability and portability come at an expense, it just feels like I'm missing something?
I tried to implement the Repository Pattern in LINQ 2 SQL and it doesn't work very well, mainly because L2S doesn't use POCOs and you have to map to DTOs all the time as you mention. Although you could use something like AutoMapper, L2S just isn't a very good fit for the Repository Pattern.
If you're going to use the Repository Pattern (and I would recommend it), try a different data access technology such as NHibernate or Entity Framework 4.0's POCO support.
Also you wouldn't create a Repository for each and every table, you create a Repository per Domain Aggregate, and use the Repository to access the Aggregate's Root entity only. For instance, if you have an e-commerce app, with Order and OrderItem entities, an Order has one-or-many OrderItems. These 2 entities are part of a single Aggregate, and the Order entity is the Aggregate Root. You'd only create an OrderRepository in this case, NOT an OrderItemRepository as well. If you want to add new OrderItems you'd do so by getting a reference to the Order entity, then adding the new OrderItem to the Order's Items collection, then saving the Order using your OrderRepository. This technique is called Domain Driven Design, and it's a very powerful paradigm to use if you have a complex Domain Model and business rules in your application. But it can be over kill in simple applications, so you have to ask yourself does the complexity of your Domain Model warrant using this approach.
In terms is adhering to DRY, normally I create a base Repository class that has common methods for Save, Delete, FetchById, that sort of thing. As long as my Repository classes implement this base class (OrderRepository, ProductRepository etc.) then they get these methods for free and the code is DRY. This was easy to do in NHibernate because of POCO support, but impossible to do in Linq 2 SQL.
Don't worry too much about sending your Domain Models directly to the view, most dedicated ViewModels look almost identical to the Domain Model anyway, so what's the point. Although I tend to avoid using the DM for posting data back to the server because of under/overposting security concerns.
If you follow this POCO approach (and ditch LINQ 2 SQL, honestly!!), you end up with only one class (your POCO entity) instead of 3 (L2S class, DTO and ViewModel).
It is possible to implement the Repository Pattern badly, so tread carefully, read a few tutorials, blog posts books etc. (I recommend Steven Sanderson's book, especially look at the Pre-Requisites chapter) But once mastered, it becomes a very powerful way to organise the complexity of hydrating Model objects to and from a data-store. And if you use Repository interfaces (IOrderRepository etc.) and have them injected via an IOC Container, you also gain the benefits of maintainability and unit testability.
Do you understand why your doing these things or are you just following along with a blog article or other source?
Don't implement the Repository pattern because its the new hotness. Implement it because you understand how these separation of concerns helps your project and overall quality of your code.
From your ?'s in your question it sounds like you need to do some more reading before you implement. Your probably missing a meaningful understanding of the overall architecture approach. Please don't take this the wrong way and I'm not trying to be negative.
Side Rant:
Obviously something is missing from the newest repository hotness picture because the confusion about implementation details like single Repository vs. Many/Grouped "DTO or not to DTO" are just so ambiguous and subjective. This is a "nickle question" that pops up again and again.
This has been brought up before, at first glance certain aspects of properly separating concerns does seem to violate DRY.
As you've mentioned MVC have you read Steve Sanderson's Pro ASP.NET MVC 2 Framework book? It spends a great deal of time explaining why using the repository pattern is a good idea.
You might find that, for the projects you're working on, it isn't appropriatte, that's okay. Don't use it and see if you come across problems that this could have addressed. You don't need to be a developer for long to realise how crucial it is to keep different parts of your application as loosely coupled as possible.

ASP.NET MVC - model decision: how to design it?

This is concerning an enterprise application with a very generic database (all objects are identified using data in the database and internationalized/globalized/localized).
Make a model for Repository pattern, then make (generate 1:1) another model for DB access (LINQ2SQL or EF) and use the later as repository model data access layer?
Just use L2S/EF/NHibernate model directly, mapping model to DB and opening persistence layer?
Will this dual model idea (repository pattern) popup problems making dynamic stackable LINQ search queries possible when using L2S/EF model directly in a dual model environment?
Please advise.
As long as you are exposing IQueryable objects in your repository, you should have no problem stacking queries in the manner you suggest.
I would be cautious about using Entity Framework for this, since lazy loading is not supported in the way you might expect. Linq to SQL will handle lazy loading without problems.
For more information about lazy loading in the Entity Framework, see: http://www.singingeels.com/Articles/Entity_Framework_and_Lazy_Loading.aspx
Take a look at sharp architecture.
Regarding returning IQueryable from your repository objects, it is my opinion that doing such blurs a proper separation of concerns in your application. I'm all for working with IQueryable within your data access layer but once you start returning objects as IQueryable you provide the opportunity for your controllers and/or views to start meddling with data access. Such may even negatively impact the testability of your application as well.

MVC: Repositories and Services

I am confused as to the limitations of what gets defined in the Repositories and what to leave to the Services. Should the repository only create simple entities matching tables from the database or can it create complex custom object with combinations of those entities?
in other words: Should Services be making various Linq to SQL queries on the Repository? Or should all the queries be predefined in the Repository and the business logic simply decide which method to call?
You've actually raised a question here that's currently generating a lot of discussion in the developer community - see the follow-up comments to Should my repository expose IQueryable?
The repository can - and should - create complex combination objects containing multiple associated entities. In domain-driven design, these are called aggregates - collections of associated objects organized into some cohesive structure. Your code doesn't have to call GetCustomer(), GetOrdersForCustomer(), GetInvoicesForCustomer() separately - you just call myCustomerRepository.Load(customerId), and you get back a deep customer object with those properties already instantiated. I should also add that if you're returning individual objects based on specific database tables, then that's a perfectly valid approach, but it's not really a repository per sé - it's just a data-access layer.
On one hand, there is a compelling argument that Linq-to-SQL objects, with their 'smart' properties and their deferred execution (i.e. not loading Customer.Orders until you actually use it) are a completely valid implementation of the repository pattern, because you're not actually running database code, you're running LINQ statements (which are then translated into DB code by the underlying LINQ provider)
On the other hand, as Matt Briggs' post points out, L2S is fairly tightly coupled to your database structure (one class per table) and has limitations (no many-many mappings, for example) - and you may be better off using L2S for data access within your repository, but then map the L2S objects onto your own domain model objects and return those.
A repository should be the only piece of your application that knows anything about your data access technology. So it should not be returning objects generated by L2S at all, but map those properties to model objects of your own.
If you are using this sort of pattern, you may want to re think L2S. It generates up a data access layer for you, but doesn't really handle impedance mismatch, you have to do that manually. If you look at something like NHibernate, that mapping is done in a more robust fashion. L2S is more for a 2 tier application, where you want a quick and dirty DAL that you can extend on easily.
If you're using LINQ then my belief is that the repository should be a container for your LINQ syntax. This gives you a level of abstraction of the database access routines from your model object interfacing. As Dylan mentions above there are other views on the matter, some people like to return the IQueryable so they can continue to query the database at a later point after the repository. There is nothing wrong with either of these approaches, as long as you're clear in your standards for your application. There is more informaiton on the best practices I use for LINQ repositories here.

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