Simple .NET/ASP.NET PDF document editor web control SDK

LINQ to SQL works only with SQL Server and SQL Server Compact 35, and has a fairly narrow goal It aims to reduce the overhead involved in writing data access code by providing a convenient C# syntax for working with the data in a SQL Server database The Entity Framework is similar, but it adds a couple of additional features First, it is designed to support multiple database vendors it has an open provider model, enabling support to be written for any database, and you can get providers for most popular databases Second, the Entity Framework allows the NET representation to have a different structure from your database schema if necessary You can define a conceptual model whose entities do not necessarily correspond directly to rows of particular tables an entity might include data that spans multiple tables in the database itself.

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Part of the problem with this approach is that it doesn t give a clean separation of the presentation from the business logic. The server that manages the chat also effectively manages the UI, and the presentation layer dumbly inserts what the server dispatched to it. Of course, the server doesn t have to send the markup and could simply send text, but it is generally more onerous to have a JavaScript program parse this text and generate the UI from it than it is to do it on the server side where you can make the most of Visual Studio and C# or VB .NET or indeed Java and any Java IDE. Atlas follows the model where the data stays on the server side, where it belongs, and the presentation, after the first rendering, remains on the client side. It has components and controls that run within the browser and take care of all the rendering on the page. They are higher-level classes that fall into two categories: Components are reusable building blocks that can be created declaratively or programmatically. They can easily be wired up to each other through bindings or events and manage their own lifetime. Controls are user interface elements that are associated with DHTML elements. They can manage and control all the rendering for that element. You ll see the Atlas web UI in a lot more detail in 7.

This entity can then be represented as a single object Of course, it s possible to have your conceptual model correspond exactly to your database model you re free to create a straightforward mapping where one entity represents one row in one table Used in this way the Entity Framework, in conjunction with LINQ to Entities, makes LINQ to SQL look redundant So why do we have both The main reason LINQ to SQL exists is that it was ready when Visual Studio 2008 shipped, whereas Microsoft hadn t finished the Entity Framework at that point LINQ was a major part of that release, and since one of the main motivations behind LINQ was data access, shipping without a LINQ-based data access feature would have been a bit of a letdown.

aware of this when modifying the actual list (and not the list s contents).

LINQ to SQL was developed by a different team (it came from the LINQ team, and not the data access group), and it was ready earlier, due no doubt in part to its less ambitious goals Microsoft has stated that while both technologies are fully supported, the Entity Framework is where the majority of its efforts will now be focused Visual Studio 2010 adds a few new LINQ to SQL features, but LINQ to Entities will see more development in the long run That s why this chapter s focus is the Entity Framework (although a lot of the concepts here apply equally to both technologies) That being said, both authors really like LINQ to SQL.

In scenarios where we re using SQL Server and where we don t need the conceptual model and mapping features of the Entity Framework, we re both more inclined to use LINQ to SQL because of its simplicity and because we ve already learned how to use it But if you learn only one data access technology for NET, the Entity Framework looks like the better choice for the long term..

By the time Microsoft shipped the Entity Framework, various third-party options for mapping relational data into object models had been around for a while. We re not going to talk about them in this book, but it s useful to be aware that the Entity Framework isn t the only game in town.