The Practical SQL Handbook: Using SQL Variants by Judith S. Bowman

By Judith S. Bowman

This consultant to imposing dependent question Language introduces simple techniques and provides useful feedback for its program to company reasons. directions are integrated for the construction of databases, tables, and indexes, with specific recognition to the retrieval of particular facts, dealing with null values, and using nested queries and a number of tables. An accompanying CD-ROM includes pattern databases, scripts, and examples from the publication, as well as a time-limited model of Sybase Adaptive Server wherever software program.

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Extra resources for The Practical SQL Handbook: Using SQL Variants

Sample text

A third variety of data integrity, referential integrity, is consistency among pieces of information that are repeated in more than one table. For example, if you correct an employee's improperly entered Social Security number in one table, other tables that include employee information probably still reference the old number, so you have to update them, too. It's vital that when information is changed in one place, it is also changed in every other place it appears. Codd's rules firmly state that relational database management systems should support not only entity and referential integrity but also additional integrity constraints reflecting business policies or government regulations and so forth.

3. Make sure each table has a primary key. The key may be an existing property (a name) or an artificial one that you add (a Social Security number, an order number), or a combination of two or more properties. At any rate, it must uniquely describe each row. 4. Locate one-to-many relationships between tables. Check that there is a foreign key column(s) in the "many" table pointing to the primary key column(s) in the "one" table. Consider the referential integrity constraints associated with each foreign key.

The editors and titles tables have a similar relationship. An editor can work on more than one book, and a book can have multiple editors. This many-to-many relationship also calls for a connecting table. One-to-One Relationships Take a final look at the entities. If you find a one-to-one (1:1) relationship between two tables, you might be better off collapsing them into one table. However, maintaining a 1:1 relationship could improve response speed in queries. For example, if you have information about titles that you seldom use (notes on copyright information, lists of change pages, for example), you might want to keep it in a separate table so that you don't have to access the information when running common queries.

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