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Using the atomic model, the two dates are atoms. The interval between them makes a molecule. In general (and this is a guideline, not a rule), you don t want to store molecules in your database. Just atoms. Of course, common sense should rule the day. Suppose you have a calculated field like that interval between the dates, but much more complex that causes the report to take an unacceptably long time to generate. And it runs lickety-split with the addition of a calculated field to the table in your database. Well then, add the field. Remember, your product will not be judged by designers on how elegantly you structured your data. It will be judged by the users on how fast and easily it gives them the information they need.
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Assuming your application requires more than just some minimal information, but involves the storage and reporting of a large number of data items, you need to organize them into separate groups or collections in a logical and efficient way. The whole subject of effective database design is beyond the scope of this book. However, let me introduce one concept, perhaps the most useful concept in the whole subject: database normalization. From Wikipedia (http://en.wikipedia.org/wiki/Database_normalization): Database normalization is a technique for designing relational database tables to minimize duplication of information and, in so doing, to safeguard the database against certain types of logical inconsistency. When multiple instances of a given piece of information occur in a table, the possibility exists that these instances will not be kept consistent when the data within the table is updated, leading to a loss of data integrity. A table that is sufficiently normalized is not vulnerable to problems of this kind, as its structure prevents it from holding redundant information in the first place. Couldn t have said it better myself. Really. Let me give you a practical example to clarify what might otherwise seem to be a fairly pedantic definition. Suppose, going back to the customer order table, we have the fields shown in Figure 2-2. This table is painfully un-normalized. Every order will have the customer s name, address, and phone number repeated. Now suppose the customer changes their phone number. Your program would have to go through each record in the order table, find that customer, and update their phone number.
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Figure 2-2. An un-normalized table
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Further, suppose that a feature or function is added later that once again needs the customer phone number. So the phone number gets included in yet another table. No problem, as long as the programmer remembers that if a phone number gets changed in one place, it has to get changed in ALL places in the database that it appears. Which they won t. Guaranteed. In other words, this is a problem. Figure 2-3 shows a better approach.
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Figure 2-3. A normalized table structure
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On the left, we have the order table again, but instead of including the customer name and address information, we merely have a pointer (Customer ID) to the table on the right, which is the Customer Name and Address table. In this approach, each customer s information appears in the database only one time in the Customer Name and Address table.
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The Customer ID field is an internal number that the user NEVER sees. It s your database s own private pointer. When your program displays any order information that will include information about the customer s name and address, your program uses the Customer ID pointer from the Order table to fetch that data from the Customer Name and Address table and include it in the display. Using this approach, when the customer s phone number changes, it gets changed in only one place. Every part of your application that refers to or displays the customer phone number then automagically displays the updated phone number. If this whole subject of relational database design and normalization intrigues you, I highly recommend some reading up on it. There are many good sources of information on this subject. One of them is Get It Done with MySql by Brawley and Fuller, available on-line at www.artfulsoftware.com/. Take a look at the section on normalisation (they re Canadian don t care much for the letter z ) in 1. It s a free download. Here s another good tutorial on database normalization: http://articles.techrepublic.com. com/5100-22-1050416.html. And from one of the most authoritative voices on the subject, Paul Litwin, a tutorial titled Fundamentals of Relational Database Design can be found at http://r937.com/relational.html and covers much more than just normalization.
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