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WCF is a future technology that promises to unify the current distributed technologies under one programming model and technology stack. It also promises to bring SO to the mainstream. Microsoft has already released and continues to release a large amount of WCF-related information. This is a testament to the impact it s expected to have. Of all the current .NET distributed technologies, Web Services will enjoy the easiest transition to WCF. The migration story for the rest of the Big Four is a mixed bag. However, the best way to ensure a smooth migration path is to learn everything you can about SO and apply its ideas now to guide how you build a distributed application.

We started by creating the complex type in the model. With the complex type created, we defined the GetVisitSummary() function in Listing 11-11 as returning a collection of our newly created complex type. Notice that the constructor for our complex type takes in parameters in the same order as those defined by our complex type. You might need to double-check in the .edmx file to make sure that the designer created the complex type properties in the order in which you created them interactively. Because our function returns IQueryable<VisitSummary>, we need to implement the bootstrapping code. And, because we need to get access to the QueryProvider inside our ObjectContext, we need to implement the method in a partial class of our EFRecipesEntities class, which is our ObjectContext. You might be wondering when you would return a collection of complex types rather than a collection of anonymous types from a function. If you used the function in a LINQ query, the bootstrapping method would need to return IQueryable<DbDataRecord> for the anonymous type. However, although this collection could not be further filtered, a collection of complex types could be further filtered.

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There are two testing approaches that seem to work well for Entity Framework: 1. Define a repository interface that both the real repository and one or more testing repositories implement. By hiding all the interactions with the persistence framework behind the implementation of the repository interface, there is no need to create fake versions of any of the other infrastructure parts. This can simplify the implementation of the testing code, but it may leave parts of the repository itself untested.

Another way to view controller test scenarios is that they re a way of specifying a contract for a software function. In other words, given a set of inputs, you expect the function to return this specific value (assuming the inputs are valid), or to throw an exception if the inputs are invalid.

Every business application has requirements to retain information across a user s sessions with the application. These requirements are called the persistence requirements for the application. Although there are scores of persistence mediums, one has come to dominate: the relation database server. Relational databases store information using rules described by a schema; these rules are based on the tenets of information theory and are implemented using Structured Query Language, or SQL. It has also become widely accepted that isolating access to this persistence medium yields great benefits in the design and maintenance of complex applications. This isolation layer is called the data access layer.

The real object context and all the fake object contexts must implement this interface. Using this approach, you don t need to fake the entire repository, which may be difficult in some cases. Your fake object contexts don t need to mimic the behavior of the entire ObjectContext class; that would be a real challenge. You do need to limit your code to just what is available on the interfaces.

10

There tend to be a finite number of reasonable inputs into a software function, so the inputs can be readily identified by thinking along these lines: What are the legal (or valid, expected) input values What are the boundaries (the minimum and maximum allowed values) Will the function cope with unexpected values (e.g., for a date range, what if the to date is before the from date )

You have created a repository that manages all the queries, inserts, updates, and deletes. You want to test this repository against a real instance of the underlying database. Suppose you have a model like the one shown in Figure 8-10. Because we will create and drop the database during the tests, let s start from the beginning in a test database.

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