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It won t come as a surprise that you ll also have to test for dependencies on three or more attributes. But these are increasingly rare as the number of attributes increases, so you should make a trade-off between the amount of work involved in testing all possible combinations on one hand, and the risk of missing a dependency on the other. The amount of work involved is often fairly limited, because in the previous steps you ll often already have changed the model from a single many-attribute relation to a collection of relations with only a limited number of attributes each, and hence with a limited number of possible three-or-more-attribute combinations. For space reasons, I can t cover all possible combinations of three or more attributes here. But the same logic applies as for the two-attribute dependencies, so if you decide to go ahead and test all combinations you should be able to figure out for yourself which combinations to test and which to skip.

repeat for each item in a list Lets you repeat a set of actions for each item in a list For example, if you create a list of documents, you can repeat the actions for each item in turn repeat as long as a condition is true Lets you run a set of actions if a condition is true and keep repeating the actions as long as the condition remains true repeat until a condition becomes true Lets you run a set of actions if a condition is false and keep repeating the actions until the condition becomes true

At the end of the procedure, you shouldn t have any independent attributes left except when the original collection of attributes was incomplete. Let s for instance consider the order confirmation form used earlier but this time, there may be multiple products with the same product name but a different product ID. In this case, unless we add the product ID to the table before starting the procedure, we ll end up with the attributes Product, Qty, and Price as completely independent columns in the final result (go ahead, try it for yourself it s a great exercise!). So if you ever happen to finish the procedure with one or more independent columns left, you ll know that either you or the domain expert made a mistake when producing and assessing the collections of test sample data, or you ve failed to identify at least one of the candidate key attributes.