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Despite (or maybe because of) the huge amount of cyberspace real estate dedicated to SO/A explanations, debates, and marketing, the SO/A semantics still remain unclear. Line up ten SO/A enthusiasts and ask each What is SO/A and you ll get ten different answers, each with varying degrees of overlap and conflict. These discussions, frankly, are becoming more and more tedious and at the same time less and less fruitful. That said, we still feel compelled to convey our SO/A point of view within this chapter. Not because we believe ours is the canonical one, but because: Not everyone has had the luxury of reading the hundreds of SO/A related articles, slides, and presentations. For these folks, this section serves as a nice overview of the concepts. Those who are already veterans of the SO/A definition wars may benefit from this section because it explains what we mean when we refer to SO/A. Hopefully, this will ward off confusion (not to mention a few angry e-mails) based purely on semantics.

In most cases, Entity Framework will generate efficient code for the Insert, Update, and Delete actions. When would I ever need to replace this with my own stored procedures Here are the best practice reasons why. * Your company requires you to use stored procedures for some or all of the Insert, Update, or Delete activity for certain tables. * You have additional tasks to do during one or more of the actions. For example, you might want to manage an audit trail or perform some complex business logic or perhaps leverage a user s privileges to execute stored procedures for security checking. * Your entity is based on a QueryView (see s 6 and 15) that requires you to map some or all of the actions to stored procedures.

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Between noHotels(), which ensures that a zero-result search will indeed produce an empty HotelCollection, and returnSomeHotels(), which ensures that a 10-result search will produce a HotelCollection with 10 hotels, the XML parsing is pretty much covered. Of course, this doesn t cover more detailed XML parsing ephemera, or certain edge cases that may only become evident while designing the XML parsing code. For example, you might want to assert that our results parser accounts for all types of amenities. In this case, something more detailed and even finer-grained is needed: a set of algorithmic tests.

One of the many complaints we often hear regarding SO/A is that it offers nothing that sophisticated and successful distributed implementations aren t already doing. To which we simply say: That s the point. We ve all learned many hard lessons over the past few years by watching distributed applications deliver disappointing results or completely fail. The primary goal

The code in Listing 10-20 demonstrates inserting, deleting, and updating in the model. The code isn t any different because of the mapping of the actions. And that s fine. The fact that we have replaced the code that Entity Framework would have dynamically generated with our own stored procedures should not affect the code that uses the entity. Listing 10-20. Executing the Insert, Update, and Delete actions using (var context = new EFRecipesEntities()) { context.Athletes.AddObject(new Athlete { Name = "Nancy Steward", Height = 167, Weight = 53 }); context.Athletes.AddObject(new Athlete { Name = "Rob Achers", Height = 170, Weight = 77 }); context.Athletes.AddObject(new Athlete { Name = "Chuck Sanders", Height = 171, Weight = 82 }); context.Athletes.AddObject(new Athlete { Name = "Nancy Rodgers", Height = 166, Weight = 59 }); context.SaveChanges(); }

Some code is definitely more equal than other code: in other words, some code cries out to be unittested, whereas with other code there would be very little point adding tests. For example, you would probably find no gain whatsoever in covering boilerplate code (e.g., property getters/setters) with unit tests; all this does is create additional code to maintain. Other code may benefit from being covered, at least at the top level, by a test (as we discussed earlier in this chapter). Further along the scale, some code can be very intensive, where almost every character is highly significant in some way to the function s eventual output. With this sort of code, it isn t sufficient to simply have a test that gives it an input and an expected output, with a virtual sea of significant computation taking place between the two. The tests need to get beneath the surface of the code much more, to prove that each part of the algorithm is sound. The tests can (and should) still be driven from the design, but the design needs to delve into more detail, e.g., you could use activity diagrams or state chart diagrams to map out the algorithmic logic, then base the unit tests on these diagrams. This level of design-driven unit testing takes us somewhat beyond the scope of this chapter, though; in fact, we d be inclined to call it advanced DDT. So we ll return to the subject in 12. See you there!

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