Entity Framework (EF) is an open-source object-relational mapping (ORM) framework for .NET applications. It enables developers to work with databases using .NET objects, eliminating the need for most of the data-access code that developers usually need to write. By allowing developers to interact with a database in a more intuitive way, EF helps streamline the data retrieval and manipulation process.
Using Entity Framework, you can easily create, read, update, and delete (CRUD) data in your database without writing raw SQL queries. EF maps database tables to C# classes, making it simpler to work with data in a way that's natural for .NET developers.
Here's a simple example of using Entity Framework to define a model, create a context, and retrieve data:
public class Product
{
public int ProductId { get; set; }
public string Name { get; set; }
public decimal Price { get; set; }
}
public class ProductContext : DbContext
{
public DbSet Products { get; set; }
}
using (var context = new ProductContext())
{
var products = context.Products.ToList();
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?