Let’s see the Entity Framework DbContext class, which contains the property DbSet used for every entity in the application. As a result, any developer trying to use a “UnitOfWork” would have to pour through its source code to find out what it really does. The definition of the unit of work pattern is simply too vague to be useful at the application level.
In this article, I am trying to explain all aspects of DbContext and why it is the most important class in Entity Framework. There are many articles on Entity Framework and very small information on DbContext at a single place. In this article I am trying to explain all aspect of DbContext and why it is most important class in Entity Framework. Learn Entity Framework using simple yet practical examples on EntityFrameworkTutorial.net for free.
Querying
With this approach, you let your DI container manage the lifetime of your DbContext and inject it into whatever component needs it (your repository objects for example). Your service and repository methods are now free of DbContext parameters, making your interfaces cleaner and your method contracts clearer as they can now only request the parameters that they actually need to do their job. That your repository methods require to be provided with an explicit DbContext parameter isn’t too much of an issue. In fact, it can even be seen as a good thing as it removes any potential ambiguity as to which context they’ll run their queries against.
Data seeding is the process of inserting default data into the database during the migration process. Lazy loading is great for scenarios where you don’t need the related entities immediately, but it can result in more database queries overall if not used judiciously. Entity Framework handles concurrency through optimistic concurrency. In simple terms, EF assumes that conflicts will be rare and does not lock objects when read. Instead, it checks if data has been modified when it is being saved. And if you’re using multiple DbContexts, you can configure more granular access control to improve application security.
Use eager loading instead of lazy loading
You can improve data access performance in EF Core in many different ways, ranging from using eager loading to reducing the database round trips required by your queries. In this article, we will explore 10 tips and tricks or strategies we can use in EF Core to improve the data access performance of our .NET Core applications. Entity Framework supports a wide array of database systems, from SQL Server and MySQL to non-relational databases. It provides many services, including change tracking, identity resolution, lazy loading, and query translation. With Entity Framework, you can interact with your data using LINQ queries, strongly typed C# code, and even raw SQL. You’ll note that the service method doesn’t need to know which type of DbContext will be required during the course of the business transaction.
It also muddies your method contracts as your service method are now forced to ask for a parameter that they neither need nor use but require purely to satisfy the dependency of a downstream method. With NHibernate, database transactions what is entity framework are entirely in the hands of developers. NHibernate’s Session will never start an explicit database transaction automatically. Entity Framework’s default behaviour is the equivalent of setting Session.FlushMode to Never in NHibernate.
Saves all changes made in this context to the underlying database. The context Provides automatic validation of data at the data layer. This API makes use of the validation features already built in .NET Framework.