11.2.1 Problem
You want to include a sequence column in a table.
11.2.2 Solution
Use an AUTO_INCREMENT column.
11.2.3 Discussion
This section provides the basic background on how AUTO_INCREMENT columns work, beginning with a short example that demonstrates the sequence-generation mechanism. The illustration centers around a bug-collection scenario: your son (eight-year-old Junior) is assigned the task of collecting insects for a class project at school. For each insect, Junior is to record its name ("ant," "bee," and so forth), and its date and location of collection. You have long expounded the benefits of MySQL for record-keeping to Junior since his early days, so upon your arrival home from work that day, he immediately announces the necessity of completing this project and then, looking you straight in the eye, declares that it's clearly a task for which MySQL is well-suited. Who are you to argue? So the two of you get to work. Junior already collected some specimens after school while waiting for you to come home and has recorded the following information in his notebook:
Name |
Date |
Origin |
millipede |
2001-09-10 |
driveway |
housefly |
2001-09-10 |
kitchen |
grasshopper |
2001-09-10 |
front yard |
stink bug |
2001-09-10 |
front yard |
cabbage butterfly |
2001-09-10 |
garden |
ant |
2001-09-10 |
back yard |
ant |
2001-09-10 |
back yard |
millbug |
2001-09-10 |
under rock |
Looking over Junior's notes, you're pleased to see that even at his tender age he has learned to write dates in ISO format. However, you also notice that he's collected a millipede and a millbug, neither of which actually are insects. You decide to let this pass for the moment; Junior forgot to bring home the written instructions for the project, so at this point it's unclear whether or not these specimens are acceptable.
As you consider how to create a table to store this information, it's apparent that you need at least name, date, and origin columns corresponding to the types of information Junior is required to record:
CREATE TABLE insect ( name VARCHAR(30) NOT NULL, # type of insect date DATE NOT NULL, # date collected origin VARCHAR(30) NOT NULL # where collected );
However, those columns may not be enough to make the table easy to use. Note that the records collected thus far are not uniqueboth ants were collected at the same time and place. If you put the information into an insect table that has the preceding structure, neither ant record can be referred to individually, because there's nothing to distinguish them from one another. Unique IDs would be helpful to make the records distinct and to provide values that make each record easy to refer to. An AUTO_INCREMENT column is good for this purpose, so a better insect table has a structure like this:
CREATE TABLE insect ( id INT UNSIGNED NOT NULL AUTO_INCREMENT, PRIMARY KEY (id), name VARCHAR(30) NOT NULL, # type of insect date DATE NOT NULL, # date collected origin VARCHAR(30) NOT NULL # where collected );
Go ahead and create the insect table using this second definition. Later, in Recipe 11.4, we'll discuss the specifics of why the id column is declared the way it is.
Using the mysql Client Program
Writing MySQL-Based Programs
Record Selection Techniques
Working with Strings
Working with Dates and Times
Sorting Query Results
Generating Summaries
Modifying Tables with ALTER TABLE
Obtaining and Using Metadata
Importing and Exporting Data
Generating and Using Sequences
Using Multiple Tables
Statistical Techniques
Handling Duplicates
Performing Transactions
Introduction to MySQL on the Web
Incorporating Query Resultsinto Web Pages
Processing Web Input with MySQL
Using MySQL-Based Web Session Management
Appendix A. Obtaining MySQL Software
Appendix B. JSP and Tomcat Primer
Appendix C. References