Learning SQL, 3rd Edition

Chapter 5. Querying Multiple Tables

Back in Chapter 2, I demonstrated how related concepts are broken into separate pieces through a process known as normalization. The end result of this exercise was two tables: person and favorite_food. If, however, you want to generate a single report showing a person’s name, address, and favorite foods, you will need a mechanism to bring the data from these two tables back together again; this mechanism is known as a join, and this chapter concentrates on the simplest and most common join, the inner join. Chapter 10 demonstrates all of the different join types.

What Is a Join?

Queries against a single table are certainly not rare, but you will find that most of your queries will require two, three, or even more tables. To illustrate, let’s look at the definitions for the customer and address tables and then define a query that retrieves data from both tables:

 mysql> desc customer; +-------------+----------------------+------+-----+-------------------+ | Field       | Type                 | Null | Key | Default           | +-------------+----------------------+------+-----+-------------------+ | customer_id | smallint(5) unsigned | NO   | PRI | NULL              | | store_id    | tinyint(3) unsigned  | NO   | MUL | NULL              | | first_name  | varchar(45)          | NO   |     | NULL              | | last_name   | varchar(45)          | NO   | MUL | NULL              | | email       | varchar(50)          | YES  |     | NULL              ...