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Normalizing a database is the science of reducing any duplication of data within tables. You can then build multiple tables related to one another through keys or indexes. The removal of as much duplication of data will lead to smaller, more compact databases. There will be a reduced chance of confusion over which column holding the same data is correct or should be modified, and there will also be less overhead involved in having to keep multiple columns of data up to date.

You can get the latest toolkit by clicking on the Download tab and selecting either the MSI install or a zip containing the source code. For the purpose of this book, just download and install the MSI; the content in this book is based on the April 2010 release of the Silverlight 4 toolkit as shown in Figure 6-2.

assert_nothing_thrown(message="") do ... end assert_operator(object1, operator, object2, message="") assert_raise(expected_exception_klass, message="") do ... end assert_respond_to(object, method, message="") assert_same(expected, actual, message="") assert_send(send_array, message="") assert_throws(expected_symbol, message="") do ... end

Just a reminder that we re still in the logical phase of building our solution, and we re not ready to start building our database within SQL Server.

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The assert method is perhaps the most basic of the lot. It simply asserts that the return value of its first argument is true. And we know that event.save will return true if the event saves and return false otherwise. So, by asserting event.save, we successfully test that the event was saved. Pretty easy, isn t it

A database designer should not normalize with impunity, as this may have an effect on speed within the database and the retrieval of data. In good normalization, the removal of the duplication of data will provide faster sorting of data and queries that run faster, thereby improving performance. Although normalization will produce an efficient database, it is possible to overnormalize data by creating too many relationships and too many slim, small tables, so that to retrieve one piece of information requires access to many tables and many joins between these tables. A knowledgeable designer knows when to stop normalizing and does not take things just that stage too far, such as having too many relationships. This knowledge comes with experience and practice mainly, but in our database example, you ll learn where to stop.

The Silverlight Toolkit contains a number of controls. We ve discussed some of these earlier in the book DataGrid (chapter 5), GridSplitter (chapter 4), and WrapPanel (chapter 3). In this section we ll look at a few others.

assertions. Download it from http://nubyonrails.topfunky.com/articles/2006/08/24/ ruby-rails-test-rails-cheat-sheet.

When any reference tables return one row of data without further table references to retrieve that information, that s a signal to stop normalization.

Let s run the test. First, make sure your test database is prepared and that your fixtures are loaded.

In this section of the chapter, we ll model our example in a method known as logical modeling. The purpose of the logical model is to show the data that the application must store to satisfy business requirements. It demonstrates how this data is related and explores any integration requirements

The Accordion control lets you include a collection of expandable and collapsible panels that allow you to show groups of content. Each accordion contains a header item and a content item. When the user clicks on the header item, it either expands or collapses the section, showing or hiding its content items. Accordion-like controls are used in many common applications, but probably the one that s most familiar to developers is Visual Studio s Toolbox, as shown in Figure 6-3. Each tab in the toolbox can be considered a header item, and the controls contained under each header can be considered the content items.

Loaded suite test/unit/event_test Started . Finished in 0.168879 seconds. 1 tests, 1 assertions, 0 failures, 0 errors

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