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mart developers test their code Take a minute to read that sentence again and let it sink in: smart developers test their code The fact is, testing is one of the most important things you can do to improve the quality of your code, reduce the cost of change, and keep your software bug-free Rails (and the Ruby community at large) takes testing seriously Not surprisingly then, Rails goes out of its way to make testing hassle-free The basic idea of testing is simple: you write code that exercises your program and tests your assumptions Instead of just opening a browser and adding a new user manually to check whether it works, you write a test that automates the process something repeatable.

This table will hold the details of each financial transaction that takes place for each product. Financial Transaction ID (K): This is a unique ID for each financial transaction. Customer ID: This is the customer s unique identifier, as defined in the Customers section earlier. Date of the Transaction: This is the date the transaction took place. Financial Product: This is a link to the financial products table. Amount: This is the amount the transaction is for. Debit/Credit: This flag denotes whether the transaction is a debit or a credit.

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With a test in place, every time you modify the code that adds a new user, you can run the test to see if your change worked, and more importantly, whether your seemingly innocuous change broke something else If you stop and think about it, you re already testing your software The problem is that you re doing it manually, often in an ad hoc fashion You might make a change to the way users log in, and then you try it in your browser You make a change to the sign-up procedure, and then you take it for a spin As your application grows in size, it becomes more and more difficult to manually test like this, and eventually you ll miss something important Even if you re not testing, you can be sure that your users are.

As you can see, the ListBox control s flexibility lets developers display lists of data in some very cool ways.

At this point, we have a first draft of the logical tables and attributes, but there are still no relationships between these tables. There is one more piece of information that we need to know, which concerns information not recorded, as it won t be included within this database. The example database will not hold every item of information that is required to make the system complete. This is to keep the example simple and to avoid having extra tables that will not be used within the book s exercises. However, there may be other times when you may wish to implement only some of the tables for example, when performing a viability study (in other words, when you re building part of a system to prove the viability of an idea). Or perhaps there are third-party tools available that can fill in the gaps. For example, a system might use an external addressing system, and instead of holding all customer addresses within the system, it may use a cross-reference ID. A table could also exist to hold all of the financial transactions for products not covered where specialized tables are required, such as for company pension plans. Next, let s move on to consider relationships between the tables in the database.

After all, they re the ones using the application in the wild, and they ll find bugs you never knew existed The best solution is to replace this sort of visual, ad hoc inspection with automatic checking Testing becomes increasingly important when refactoring existing code Refactoring is the process of improving the design of code without changing its behavior The best way to refactor is with a test in place acting as a safety net Since refactoring shouldn t result in an observable change in behavior, it shouldn t break your tests either It s easy, therefore, to see why many programmers won t refactor without tests Given the importance we ve placed on testing, it may seem odd that we ve left it to the ninth chapter of the book.

Much like people, databases can be temperamental creatures and need a bit of TLC. Good relationships can provide this kind of care and attention. At the moment, the tables in our example database are essentially single, unrelated items. Of course, they have columns with the same name in different tables, but there is nothing tying them together. This is where defining relationships between the tables comes in. Binding the tables together in this way ensures that changes in one table do not cause data in another table to become invalid.

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