4.9.1 Problem
You want to perform a pattern match for a literal instance of a character that's special in patterns.
4.9.2 Solution
Escape the special character with a backslash. Or maybe two.
4.9.3 Discussion
Pattern matching is based on the use of metacharacters that have a special meaning and thus stand for something other than themselves. This means that to match a literal instance of a metacharacter, you must turn off its special meaning somehow. Do this by using a backslash character (). Assume that a table metachar contains the following rows:
mysql> SELECT c FROM metachar; +------+ | c | +------+ | % | | _ | | . | | ^ | | $ | | | +------+
A pattern consisting only of either SQL metacharacter matches all the values in the table, not just the metacharacter itself:
mysql> SELECT c, c LIKE '%', c LIKE '_' FROM metachar; +------+------------+------------+ | c | c LIKE '%' | c LIKE '_' | +------+------------+------------+ | % | 1 | 1 | | _ | 1 | 1 | | . | 1 | 1 | | ^ | 1 | 1 | | $ | 1 | 1 | | | 1 | 1 | +------+------------+------------+
To match a literal instance of a SQL pattern metacharacter, precede it with a backslash:
mysql> SELECT c, c LIKE '\%', c LIKE '\_' FROM metachar; +------+-------------+-------------+ | c | c LIKE '\%' | c LIKE '\_' | +------+-------------+-------------+ | % | 1 | 0 | | _ | 0 | 1 | | . | 0 | 0 | | ^ | 0 | 0 | | $ | 0 | 0 | | | 0 | 0 | +------+-------------+-------------+
The principle is somewhat similar for matching regular expression metacharacters. For example, each of the following regular expressions matches every row in the table:
mysql> SELECT c, c REGEXP '.', c REGEXP '^', c REGEXP '$' FROM metachar; +------+--------------+--------------+--------------+ | c | c REGEXP '.' | c REGEXP '^' | c REGEXP '$' | +------+--------------+--------------+--------------+ | % | 1 | 1 | 1 | | _ | 1 | 1 | 1 | | . | 1 | 1 | 1 | | ^ | 1 | 1 | 1 | | $ | 1 | 1 | 1 | | | 1 | 1 | 1 | +------+--------------+--------------+--------------+
To match the metacharacters literally, just add a backslash, right? Well, try it:
mysql> SELECT c, c REGEXP '.', c REGEXP '^', c REGEXP '$' FROM metachar; +------+---------------+---------------+---------------+ | c | c REGEXP '.' | c REGEXP '^' | c REGEXP '$' | +------+---------------+---------------+---------------+ | % | 1 | 1 | 1 | | _ | 1 | 1 | 1 | | . | 1 | 1 | 1 | | ^ | 1 | 1 | 1 | | $ | 1 | 1 | 1 | | | 1 | 1 | 1 | +------+---------------+---------------+---------------+
It didn't work, because regular expressions are processed a bit differently than SQL patterns. With REGEXP, you need a double backslash to match a metacharacter literally:
mysql> SELECT c, c REGEXP '\.', c REGEXP '\^', c REGEXP '\$' FROM metachar; +------+----------------+----------------+----------------+ | c | c REGEXP '\.' | c REGEXP '\^' | c REGEXP '\$' | +------+----------------+----------------+----------------+ | % | 0 | 0 | 0 | | _ | 0 | 0 | 0 | | . | 1 | 0 | 0 | | ^ | 0 | 1 | 0 | | $ | 0 | 0 | 1 | | | 0 | 0 | 0 | +------+----------------+----------------+----------------+
Because backslash suppresses the special meaning of metacharacters, backslash itself is special. To match a backslash literally, use double backslashes in SQL patterns or quadruple backslashes in regular expressions:
mysql> SELECT c, c LIKE '\', c REGEXP '' FROM metachar; +------+-------------+-----------------+ | c | c LIKE '\' | c REGEXP '\\' | +------+-------------+-----------------+ | % | 0 | 0 | | _ | 0 | 0 | | . | 0 | 0 | | ^ | 0 | 0 | | $ | 0 | 0 | | | 1 | 1 | +------+-------------+-----------------+
It's even worse trying to figure out how many backslashes to use when you're issuing a query from within a program. It's more than likely that backslashes are also special to your programming language, in which case you'll need to double each one.
Within a character class, use these marks to include literal instances of the following class constructor characters:
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