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Object Services is one of two APIs in EF. Object Services enables you to execute CRUD operations with strongly typed objects and entity types. Object Services supports two execution models against the EDM: LINQ (specifically LINQ to Entities) and Entity SQL. This section covers the application of LINQ to Entities in EF. When looking at the usage of LINQ with EF, it is important that you first understand the ObjectContext class. In 5, you examined the AdventureWorksEntities class generated by EF. The AdventureWorksEntities class is an example of a class that extends the ObjectContext class. According to MSDN, the purpose of the ObjectContext class is for interacting with data in the form of objects that are instances of entity types defined in an EDM (http:// msdn2.microsoft.com/en-us/library/system.data.objects.objectcontext.aspx). This quote just about sums it up but to restate, the ObjectContext class is the conduit for interacting with the objects that are a representation of your database. This class also has the following functionality:

The send method, however, is only half of the puzzle. The other half is the readystatechange event handler method, onStateChange. After the send method sends the request, control of the request goes

The standard acknowledges the use of the Remote-Proxy design pattern where there is a design problem such that access to a principal needs to be distributed through representation.

A database connection that is an EntityConnection object Object model metadata that is stored in the MetadataWorkspace object State management and object tracking, controlled by ObjectStateManager

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over to the onStateChange method, which waits for the wrapper XHR object to reach the ready state of 4. When this happens, onStateChange prepares the response object property of the request, setting the raw responseText value for response.text and raw responseXML value for response.xml. The onStateChange method then calls the isSuccess function to check whether the request was successful. If the request was successful, the method calls the success method, which parses and prepares the response.text value to strip out script tags. This success method then passes this new formatted value to the onSuccess method, which dispatches the complete and success events. Unsuccessful requests, in contrast, will make the onStateChange method invoke the failure method, whose main job is to invoke the onFailure method that dispatches the complete and failure events. These four methods success, onSuccess, failure, and onFailure are the usual points for subclassing. Most Request subclasses will override these four methods in order to create a specialized version of the class.

The standard acknowledges the use of the Adapter design pattern where there is a design problem, where there is a requirement to integrate with a noncompliant interface, or where there is a requirement for one design to leverage the functionality from one design into another design.

The standard acknowledges the use of the Composite design pattern where there is a design problem where there is a hierarchy of entities and a requirement for a simple nonconditional methodology to manage single and composite entities.

The most basic kinds of Request subclasses add additional options and use a different parsing method for the responseText value. Because it is the job of the success method to parse the response data before passing it to success event handlers, most subclasses override only this method for their purposes. For example, let s take one of the Request subclasses included in MooTools Core: Request.JSON. This is a specialized request class used for JSON requests that automatically turns the response data into a JavaScript object. Normally, if we want to include a JSON request using the Request class, we do this: var request = new Request({ url: 'myfile.json', method: 'get', headers: { 'Accept': 'application/json' }, onSuccess: function(text){ var obj = JSON.decode(text); if (obj){ console.log(obj.name); } else { console.log('Improper JSON response!'); } } }).send(); Here we requested a JSON file from the server. We made sure that the server will only send us JSON back by attaching an Accept header that has the value of the JSON mimetype. In our success event handler, we then parse the text response from the server using JSON.decode to turn it into a JSON object. If the parsing is successful, we ll get an object result, the name property of which we output to the console. If the parsing fails, we log an error message. Request.JSON automates this process, and handles the parsing process using JSON.decode internally. var request = new Request.JSON({ url: 'myfile.json', method: 'get', onSuccess: function(obj){ console.log(obj.name); }, onFailure: function(){ console.log('Improper JSON response!');

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