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It is impossible to build a data-centric application if you can t retrieve data. In the preceding chapter, you built out a simple EDM with four tables and let EF generate the code associated with those structures. You also created a Windows Forms application to use as a test harness. Let s start by writing a simple query with the EDM that you generated in 5. Listing 6-1 provides a simple example using LINQ to Entities to retrieve all the EmployeeIDs in the EmployeeDepartmentHistory table. As you can see, the C# code is easy to understand because it is formed like a standard LINQ query. In this example, you have a new AdventureWorksEntities class, a LINQ select against the EmployeeDepartmentHistory entity, and finally a loop that iterates through the results, pulling the EmployeeIDs.

The standard acknowledges the use of the Facade design pattern where there is a requirement, by client code, for a high-level abstraction that is simple to use.

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} }).send(); Instead of passing a string to the success event handler, Request.JSON passes an object that is the parsed value of the JSON response. This saves us from having to call JSON.decode ourselves. Request.JSON also automatically dispatches the failure event in the case of the response failing the JSON.decode parsing. The source itself of Request.JSON is very simple: Request.JSON = new Class({ Extends: Request, options: { secure: true }, initialize: function(options){ this.parent(options); Object.append(this.headers, { 'Accept': 'application/json', 'X-Request': 'JSON' }); }, success: function(text){ var secure = this.options.secure; var json = this.response.json = Function.attempt(function(){ return JSON.decode(text, secure); }); if (json == null) this.onFailure(); else this.onSuccess(json, text); } }); The Request.JSON class is a direct subclass of Request. It overrides the original initialize method in order to add the appropriate headers to the request instance, but it also retains the original initialize process from Request using this.parent(). You ll see that the success method is the only real method that s overridden. The Request.JSON version of the success method first tries to turn the response data into a proper JSON object using JSON.decode. If the process fails, it calls the onFailure method, which dispatches the failure event. If the process succeeds, it calls the onSuccess method, passing in the newly parsed object. The onSuccess method will then dispatch the event handlers for the success event, passing the parsed object. As this example shows, subclassing the Request object is a very simple affair. The flexibility of the original Request class itself makes the process really simple, and gives Request the ability to be subclassed into new and more useful classes.

The standard acknowledges the use of the Chain of Responsibility design pattern where there is a requirement to manage tasks by coordinating objects and have them cooperate within a hierarchical structure.

Immediately following the C# example (in Listing 6-1), you can see the SQL generated by the query. Clearly, the SQL generated from EF is more complex than what you would typically write in this situation. The reason for this is that EF (and really, ADO.NET under the covers) is using an algorithm for creating canonical query trees (CQTs). I am not going to go into too much detail about CQTs because that is another book; however, it is important for you to understand that the CQTs generated by EF are highly optimized to run at peak efficiency. To create a providerneutral mechanism for communicating with any data store, and to be able to ensure performance in both simple and complex situations, CQTs are the means to the end. Listing 6-1. Simple Query Using EF // C# Example using(AdventureWorksEntities aw = new AdventureWorksEntities()) { var departmentHistories = from dep in aw.EmployeeDepartmentHistory select dep; foreach (var edh in departmentHistories) { Debug.Print(edh.EmployeeID.ToString()); } }

In this chapter we learned all about the HTTP request-response cycle and how it affects the design of our applications. We also found out about asynchronous requests, and how the native XMLHttpRequest object

The standard acknowledges the use of the Observer design pattern where there is a requirement to initiate and manage communications among a society of objects.

-- SQL Generated from EF SELECT 1 AS [C1], [Extent1].[EmployeeID] AS [EmployeeID], [Extent1].[DepartmentID] AS [DepartmentID], [Extent1].[ShiftID] AS [ShiftID], [Extent1].[StartDate] AS [StartDate], [Extent1].[EndDate] AS [EndDate], [Extent1].[ModifiedDate] AS [ModifiedDate] FROM [HumanResources].[EmployeeDepartmentHistory] AS [Extent1]

Overriding is set up in the base class where a method is modified with the virtual keyword and is effected in a subclass, where a method is modified with the override keyword.

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