Error
Error Code: 3690

MySQL Error 3690: Unsupported Regular Expression Feature

📦 MySQL
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Description

This error indicates that a regular expression used in a query or statement includes syntax or a feature that the current MySQL server's regular expression library does not support. This often happens when attempting to use advanced regex capabilities available in newer versions or different regex engines, but not in the specific version of MySQL or its underlying libraries.
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Error Message

The regular expression contains a feature that is not implemented in this library version.
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Known Causes

3 known causes
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Advanced Regex Syntax
The regular expression attempts to use features (e.g., lookaheads, specific character classes, or advanced quantifiers) that are considered advanced and not supported by the specific regex engine linked with your MySQL server.
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Older MySQL Version
Your MySQL server version is outdated and does not include support for the particular regular expression syntax or functionality that you are trying to use. Newer regex features are often introduced in later MySQL releases.
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Misunderstanding MySQL Regex Dialect
MySQL's regular expression implementation might not fully align with other common regex engines (like PCRE or JavaScript regex), leading to attempts to use syntax that is valid elsewhere but considered unimplemented in MySQL.
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Solutions

3 solutions available

1. Simplify the Regular Expression easy

Rewrite the regex to use only supported features.

1
Identify the unsupported feature in your regular expression. Common culprits include lookarounds (positive/negative lookahead/lookbehind), possessive quantifiers, and certain Unicode properties.
text
2
Consult the MySQL documentation for the specific version you are using to understand the supported regular expression syntax. For example, for MySQL 8.0, refer to https://dev.mysql.com/doc/refman/8.0/en/regexp.html.
text
3
Rewrite your regular expression, removing or replacing the unsupported features with equivalent, supported syntax. For instance, instead of a lookahead `(?=pattern)`, you might need to match the pattern and then use a subexpression.
sql
-- Original (hypothetical unsupported regex)
SELECT * FROM your_table WHERE your_column REGEXP '(?=.*\d).*';

-- Simplified (if possible)
SELECT * FROM your_table WHERE your_column REGEXP '.*[0-9].*';

2. Upgrade MySQL to a Newer Version medium

Update to a MySQL version with broader regex support.

1
Determine the current MySQL version you are running. You can check this with the following SQL command:
sql
SELECT VERSION();
2
Research the regular expression features supported by newer MySQL versions. Typically, each major version release brings improvements to regex capabilities.
text
3
Plan and execute a MySQL upgrade. This is a significant operation and requires careful planning, backups, and testing. Consult the official MySQL documentation for the upgrade process specific to your current and target versions. For example, upgrading to MySQL 8.0 offers more robust regex support.
bash
# Example - this is a placeholder and requires specific commands for your OS and MySQL setup
# sudo apt update && sudo apt upgrade mysql-server

3. Implement Regex Logic in Application Code medium

Move complex regex processing out of MySQL and into your application.

1
Identify the SQL query that is causing the error due to the unsupported regex.
sql
-- Example query causing the error
SELECT * FROM your_table WHERE your_column REGEXP '(?<=\s)\w+';
2
Modify the SQL query to retrieve the relevant data without using the complex regular expression. You might fetch a broader set of data and perform filtering later.
sql
-- Modified query to fetch data for client-side processing
SELECT your_column FROM your_table;
3
In your application code (e.g., Python, Java, PHP, Node.js), use the programming language's built-in regular expression engine to process the retrieved data. Most languages have robust and feature-rich regex libraries.
python
import re

# Assume 'data_from_mysql' is a list of strings retrieved from your_column
data_from_mysql = ['sample text', 'another string', 'yet another example']

filtered_data = []
for item in data_from_mysql:
    # Example: Replace the unsupported MySQL regex with Python's regex
    if re.search(r'(?<=\s)\w+', item):
        filtered_data.append(item)

print(filtered_data)
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