7.4.1 Problem
You need to add up a set of numbers or find their average.
7.4.2 Solution
Use the SUM( ) or AVG( ) functions.
7.4.3 Discussion
SUM( ) and AVG( ) produce the total and average (mean) of a set of values:
mysql> SELECT SUM(size) AS 'total traffic', -> AVG(size) AS 'average message size' -> FROM mail; +---------------+----------------------+ | total traffic | average message size | +---------------+----------------------+ | 3798185 | 237386.5625 | +---------------+----------------------+
mysql> SELECT SUM(miles) AS 'total miles', -> AVG(miles) AS 'average miles/day' -> FROM driver_log; +-------------+-------------------+ | total miles | average miles/day | +-------------+-------------------+ | 2166 | 216.6000 | +-------------+-------------------+
mysql> SELECT SUM(pop) FROM states; +-----------+ | SUM(pop) | +-----------+ | 248102973 | +-----------+
(The value represents the population reported for April, 1990. The figure shown here differs from the U.S. population reported by the U.S. Census Bureau, because the states table doesn't contain a count for Washington, D.C.)
SUM( ) and AVG( ) are strictly numeric functions, so they can't be used with strings or temporal values. On the other hand, sometimes you can convert non-numeric values to useful numeric forms. Suppose a table stores TIME values that represent elapsed time:
mysql> SELECT t1 FROM time_val; +----------+ | t1 | +----------+ | 15:00:00 | | 05:01:30 | | 12:30:20 | +----------+
To compute the total elapsed time, use TIME_TO_SEC( ) to convert the values to seconds before summing them. The result also will be in seconds; pass it to SEC_TO_TIME( ) should you wish the sum to be in TIME format:
mysql> SELECT SUM(TIME_TO_SEC(t1)) AS 'total seconds', -> SEC_TO_TIME(SUM(TIME_TO_SEC(t1))) AS 'total time' -> FROM time_val; +---------------+------------+ | total seconds | total time | +---------------+------------+ | 117110 | 32:31:50 | +---------------+------------+
7.4.4 See Also
The SUM( ) and AVG( ) functions are especially useful in applications that compute statistics. They're explored further in Chapter 13, along with STD( ), a related function that calculates standard deviations.
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