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Lesson 1: Designing Database Tables
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table. You do not increase the actual storage on disk because each customer must have a primary address. However, you have introduced two problems into the design. When you must join the Customers and CustomerAddress tables together, you need to use an outer join, which is much more expensive than an inner join, and you have the possibility of returning invalid data because the outer join might preserve rows that should have been filtered out of the query. The outer join is the least of your worries. You now have a major issue with the Orders table. You have created the equivalent of a con ditional join that cannot be handled in an elegant way. If an order is shipped to the primary address, you have to retrieve data from the Customers table. If an order is shipped to an address other than the primary, you have to retrieve data from the CustomerAddress table. You might choose to solve this problem by instead introducing a third table that con tains data from the Customers table along with the primary address. This denormal ized table is maintained by triggers on the Customers and CustomerAddress tables, improving the performance of many of the queries in the read-intensive database by effectively precalculating the join to pull the primary address. An alternative to this approach is to create an indexed view that joins the Customers and CustomerAddress tables together to provide one row per customer with the primary address. However, this alternative violates the business requirement that you must minimize the storage space. Clearly, any approach violates one or more business requirements, so as a database designer you need to make choices and be prepared to justify those choices. Practi cally speaking, you should generally be looking for designs that minimize all aspects from storage through query performance, but this is not always possible. In the face of conflicting requirements, performance and minimizing the amount of memory consumed should be the overriding factors in a design. When designing the database structure, you need to consider how you will store the data that is required while also considering how users will access the data from the system. Unfortunately, too many databases are designed based on the data that needs to be stored, and the considerations for how the data will be used is left as someone else s problem to figure out. So, how do we suggest that you solve the problem of the Fabrikam International data base Storing the data in the Customers, CustomerAddress, Products, Orders, and OrderDetails tables provides minimal storage for the data and enables developers to
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Designing the Physical Database
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create code that is flexible as well as straightforward. Because the database is readintensive, and a large number of queries need both the Customers and CustomerAd dress tables, you can create an indexed view that joins these two tables together to combine the customer information with the primary address. In this manner, you can create a design that balances all the business requirements while sacrificing some disk storage space. There are some basic rules to keep in mind when deciding to denormalize databases. Do not consider denormalization when the following are true:
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The database is write-intensive. Denormalizing will create significant contention. There will not be an appreciable impact on the performance of queries.
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Consider denormalizing when the following are true:
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The database is read-intensive. You have many queries that are executed frequently and require joining multiple tables together. You have queries that require joining six or more tables. The denormalization will provide an increase in query performance that far out weighs the cost of denormalizing.
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