Error
Error Code:
3685
MySQL Error 3685: Illegal Regular Expression Argument
Description
This error indicates that a regular expression function or operator in MySQL, such as `REGEXP` or `RLIKE`, was called with an argument that is syntactically incorrect, malformed, or of an inappropriate data type. It typically occurs when the provided regular expression pattern itself is invalid or when a non-string value is supplied where a string pattern is expected.
Error Message
Illegal argument to a regular expression.
Known Causes
3 known causesInvalid Regex Pattern Syntax
The regular expression string provided contains syntax errors, unmatched parentheses, or invalid escape sequences, making it unparsable by the MySQL regex engine.
Non-String Regex Argument
A non-string value (e.g., a number, a boolean, or an unexpected data type) was passed as the regular expression pattern where a string is explicitly required.
Empty or NULL Pattern
An empty string or NULL value was supplied as the regular expression pattern, which the regex engine considers an illegal argument in the given context.
Solutions
4 solutions available1. Escape Special Characters in Regex easy
Ensure all characters with special meaning in regular expressions are properly escaped.
1
Identify the regular expression pattern used in your MySQL query.
2
For characters that have special meaning in regular expressions (e.g., ., ^, $, *, +, ?, (, ), [, ], {, }, |, \), prepend them with a backslash (\) to treat them as literal characters.
UPDATE your_table SET your_column = 'new_value' WHERE your_column REGEXP '^some\.pattern\*$'
3
Re-run your query with the escaped regular expression.
2. Simplify the Regular Expression medium
Break down complex regex patterns into simpler, valid components.
1
Examine your regular expression for excessive nesting, overly complex character classes, or ambiguous quantifiers.
2
If possible, rewrite the regex to achieve the same matching logic with simpler constructs. For instance, instead of complex lookarounds or nested groups, consider alternative approaches.
Consider replacing `(a|b)+` with `a+b+|ab+` if the intent is to match one or more 'a's followed by one or more 'b's, or vice versa, if applicable.
3
Test the simplified regex in a regex tester tool or within MySQL to ensure it still matches your intended data.
4
Apply the simplified regex to your MySQL query.
SELECT * FROM your_table WHERE your_column REGEXP 'simplified_pattern'
3. Use Alternative String Matching Functions easy
Employ LIKE or SOUNDEX if regex is not strictly necessary.
1
Determine if the exact functionality of a regular expression is required. For simple pattern matching (e.g., wildcards), the `LIKE` operator is often sufficient and more performant.
2
If you need to match based on phonetic similarity, consider using the `SOUNDEX` function.
3
Rewrite your query using `LIKE` or `SOUNDEX` if they meet your requirements.
SELECT * FROM your_table WHERE your_column LIKE '%partial_string%';
4
Alternatively, for phonetic matching:
SELECT * FROM your_table WHERE SOUNDEX(your_column) = SOUNDEX('target_word');
4. Update MySQL Server to a Newer Version advanced
Older MySQL versions might have bugs or limitations in their regex engine.
1
Check your current MySQL server version using the following command:
SELECT VERSION();
2
Consult the MySQL documentation for the regex capabilities and any known issues in your current version.
3
If your version is significantly old, plan and execute a MySQL upgrade to a supported and more recent version. This is a more involved process and requires careful planning, backups, and testing.
4
After upgrading, re-test your queries with the regular expressions.