REGEXP_REPLACE in MySQL - Examples & AI Generator

Working with REGEXP_REPLACE in MySQL can be challenging for SQL developers, data analysts, and engineers—especially given syntax differences from databases like PostgreSQL or Oracle. REGEXP_REPLACE enables powerful string pattern replacements, but remembering exact syntax for MySQL isn’t always practical. That’s why AI2sql, trusted by 50,000+ users in 80+ countries, generates custom REGEXP_REPLACE queries for you—no coding required and in just 10 seconds.

REGEXP_REPLACE Syntax in MySQL

Standard MySQL REGEXP_REPLACE Syntax

Introduced in MySQL 8.0, REGEXP_REPLACE() uses this structure:

REGEXP_REPLACE(original_string, pattern, replacement[, position[, occurrence[, match_type]]])

• original_string: The column or string expression.

• pattern: Regular expression to match.

• replacement: What to replace matches with.

• position (optional): Start position.

• occurrence (optional): Which match to replace (default: all).

• match_type (optional): Regex match rules (e.g., 'c', 'i').

Unlike other SQL platforms, MySQL REGEXP_REPLACE accepts optional arguments for advanced control.

REGEXP_REPLACE Examples You Can Generate Instantly

1. Clean Up Customer Phone Numbers

SELECT REGEXP_REPLACE(phone, '[^0-9]', '') AS clean_phone
FROM customers;

Use case: Remove all non-numeric characters from stored phone numbers.

2. Mask Email Domains in Orders Table

SELECT REGEXP_REPLACE(email, '@.*', '@****') AS masked_email
FROM orders;

Use case: Hide actual email domains for privacy in shared reports.

3. Standardize Product Codes

SELECT REGEXP_REPLACE(product_code, '-', '') AS normalized_code
FROM products;

Use case: Strip dashes from product codes for integration with an external ERP system.

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Why Use AI2sql Instead of Manual REGEXP_REPLACE Coding

• Instant query generation: No need to memorize MySQL REGEXP_REPLACE syntax.

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• Business context aware: Tailor queries for customers, orders, products—just describe your task.

• No coding required: Paste your needs in plain English and let AI2sql handle syntax details.

Try AI2sql Generator for instant query automation or Learn REGEXP_REPLACE for deeper guidance.

FAQ: REGEXP_REPLACE in MySQL

• Q: What MySQL version supports REGEXP_REPLACE?
  A: MySQL 8.0 and newer support the REGEXP_REPLACE function.

• Q: Can REGEXP_REPLACE handle case-insensitive patterns?
  A: Yes—use the 'i' match_type flag, e.g. REGEXP_REPLACE(str, pattern, repl, 1, 0, 'i').

• Q: How does MySQL's REGEXP_REPLACE differ from other databases?
  A: Syntax and optional arguments (position, occurrence, match_type) may differ—AI2sql instantly adapts for MySQL specifics.

Conclusion

REGEXP_REPLACE in MySQL is powerful for advanced data cleaning and transformation, but getting syntax right every time can slow productivity. AI2sql instantly generates the correct SQL for any pattern, format, or business transformation—helping you focus on data insights, not debugging code. Generate Your First Query Now.