Error
Error Code: 3685

MySQL Error 3685: Illegal Regular Expression Argument

📦 MySQL
📋

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 causes
⚠️
Invalid 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 available

1. 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.
🔗

Related Errors

5 related errors