SQL Formatter
Format, beautify, and validate your SQL queries for MySQL, PostgreSQL, SQL Server, Oracle, and SQLite. Maintain consistent query formatting with customizable options and dialect-specific rules.
Choose your database system for dialect-specific formatting
Formatted SQL will appear here...
Understanding SQL Formatting
SQL formatting is essential for writing clear, maintainable database queries. Well-formatted SQL makes it easier to understand complex data relationships, spot potential performance issues, and collaborate with team members.
Benefits of Formatted SQL
- Improved Readability: Clear structure makes complex queries easier to understand
- Easier Debugging: Quickly identify syntax errors and logical issues
- Team Consistency: Maintain uniform coding standards across projects
- Better Maintenance: Simplify future modifications and optimizations
SQL Best Practices
- Use uppercase for SQL keywords (SELECT, FROM, WHERE)
- Place each major clause on a new line
- Indent subqueries and complex conditions
- Format JOIN conditions clearly
- Use meaningful table aliases
- Break long lines for readability
Key Features
- 5 SQL dialects
- Smart indentation
- Syntax validation
- Keyword capitalization
- Query minification
Formatting Statistics
| Supported Dialects | 5 major databases |
|---|---|
| SQL Keywords | 150+ per dialect |
| Formatting Rules | 20+ configurable |
| Query Types | SELECT, INSERT, UPDATE, DELETE, CREATE, CTE |
| Validation Checks | 10+ syntax checks |
Before & After Examples
Before (Unformatted)
SELECT u.id,u.username,u.email,COUNT(o.id) as order_count,SUM(o.total) as total_spent FROM users u LEFT JOIN orders o ON u.id=o.user_id WHERE u.created_at>='2024-01-01' AND u.status='active' GROUP BY u.id,u.username,u.email HAVING COUNT(o.id)>0 ORDER BY total_spent DESC LIMIT 10;After (Formatted)
SELECT
u.id,
u.username,
u.email,
COUNT(o.id) AS order_count,
SUM(o.total) AS total_spent
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at >= '2024-01-01'
AND u.status = 'active'
GROUP BY u.id, u.username, u.email
HAVING COUNT(o.id) > 0
ORDER BY total_spent DESC
LIMIT 10;Dialect-Specific Formatting
MySQL
- LIMIT clause formatting
- ENUM type support
- BACKTICK identifier quoting
PostgreSQL
- ARRAY type support
- JSONB operations
- DOUBLE COLON casting
SQL Server
- TOP clause
- Square bracket quoting
- OUTPUT clause
Frequently Asked Questions
Yes, the formatter intelligently handles subqueries, CTEs (WITH clauses), and nested conditions. It preserves the hierarchical structure while applying proper indentation and formatting rules to maintain readability of complex queries.
Yes, you can format multiple SQL statements separated by semicolons. The formatter will process each query independently and add configurable spacing between them for better separation and readability.
The validator checks for common SQL syntax issues including unmatched parentheses, unclosed quotes, missing clauses (like FROM in SELECT), and dialect-specific syntax rules. It provides a detailed report of errors and warnings to help you fix issues before running queries.
Yes, the formatter preserves both single-line (--) and multi-line (/* */) comments. Comments are maintained in their original positions relative to the code they document. However, when minifying, comments are removed by default.
Absolutely! You can customize indentation size, keyword capitalization, comma position (before/after), maximum line length, and spacing between queries. These options let you match your team's specific coding standards.
Related Developer Tools
All SQL formatting is performed client-side in your browser. Your queries never leave your device.
5 SQL Dialects Supported: MySQL, PostgreSQL, SQL Server, Oracle, and SQLite.
