SQL Formatter
Beautify and format your SQL queries with proper indentation, syntax highlighting, and best practices.
Input SQL
Lines: 0 | Chars: 0Formatted SQL
Lines: 0 | Chars: 0-- Formatted SQL will appear here...
SQL Templates
What is an SQL Formatter?
An SQL Formatter is an essential tool for database developers, administrators, and anyone working with SQL queries. It takes messy, unreadable SQL code and transforms it into clean, well-structured, and properly indented code that follows best practices and industry standards.
This tool automatically formats your SQL queries with consistent indentation, proper keyword capitalization, and logical line breaks, making your code more readable and maintainable.
Why Format Your SQL Code?
Unformatted SQL
SELECT customer_id,first_name,last_name,email,phone,address,city,state,zip_code,country FROM customers WHERE active=1 AND (registration_date>'2023-01-01' OR (status='premium' AND plan_duration>12)) ORDER BY last_name ASC,first_name ASC LIMIT 100;
Problems: No indentation, hard to read, difficult to debug, violates coding standards.
Formatted SQL
SELECT
customer_id,
first_name,
last_name,
email,
phone,
address,
city,
state,
zip_code,
country
FROM customers
WHERE active = 1
AND (
registration_date > '2023-01-01'
OR (
status = 'premium'
AND plan_duration > 12
)
)
ORDER BY
last_name ASC,
first_name ASC
LIMIT 100;
Benefits: Clear structure, easy to read, follows best practices, simpler debugging.
Key Features of Our SQL Formatter
1. Intelligent Indentation
Automatically indents SQL clauses, subqueries, and nested expressions to create a visual hierarchy:
SELECT
customer_name,
COUNT(order_id) as total_orders,
SUM(order_amount) as total_spent
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id
WHERE c.active = 1
AND o.order_date >= '2023-01-01'
GROUP BY c.customer_name
HAVING COUNT(order_id) > 5
ORDER BY total_spent DESC;
2. Keyword Standardization
Converts SQL keywords to consistent casing (UPPERCASE by default) for better readability:
-- Before formatting select CustomerID, FirstName, LastName from customers where active = 1; -- After formatting SELECT CustomerID, FirstName, LastName FROM customers WHERE active = 1;
3. Alignment and Spacing
Aligns columns in SELECT statements and adds consistent spacing around operators:
-- Misaligned and cramped
SELECT product_id,name,price,category FROM products WHERE price>100 AND stock<50;
-- Properly aligned and spaced
SELECT
product_id,
name,
price,
category
FROM products
WHERE price > 100
AND stock < 50;
4. Line Breaking Strategy
Breaks long lines at logical points based on your selected line length limit:
-- Before (exceeds line length)
SELECT customer_id, first_name, last_name, email, phone, registration_date, last_login, total_orders, total_spent, preferred_category FROM customers WHERE active = 1 ORDER BY total_spent DESC;
-- After (with line breaks)
SELECT
customer_id,
first_name,
last_name,
email,
phone,
registration_date,
last_login,
total_orders,
total_spent,
preferred_category
FROM customers
WHERE active = 1
ORDER BY total_spent DESC;
Supported SQL Dialects
Our formatter supports multiple SQL dialects with dialect-specific formatting rules:
- MySQL: Supports backtick identifiers, AUTO_INCREMENT, ENGINE specifications
- PostgreSQL: Handles double quote identifiers, WITH clauses, window functions
- SQL Server: Formats square bracket identifiers, TOP clauses, T-SQL extensions
- Oracle: Processes double quote identifiers, PL/SQL blocks, hierarchical queries
- SQLite: Supports SQLite-specific syntax and pragma statements
- ANSI SQL: Standard SQL formatting compliant with ANSI specifications
Best Practices for SQL Formatting
- Consistent Indentation: Use 2 or 4 spaces consistently (never mix tabs and spaces)
- Keyword Capitalization: Always capitalize SQL keywords for better visibility
- Column Alignment: Align columns in SELECT statements for quick scanning
- Logical Line Breaks: Break lines after commas, keywords, and logical operators
- Parenthesis Spacing: Add spaces around operators but not inside parentheses
- Comment Consistency: Use consistent comment styles (-- for single line, /* */ for blocks)
Frequently Asked Questions (FAQ)
Does the formatter change my SQL logic?
No. The formatter only changes whitespace, indentation, and keyword casing. It does not modify the actual SQL logic, column names, table names, or values. Your query functionality remains identical.
Can I customize the formatting style?
Yes! Our formatter offers multiple customization options including indent size (2, 4, 8 spaces or tabs), keyword casing (uppercase/lowercase), column alignment, and line length limits. You can adjust these settings to match your team's coding standards.
How does the formatter handle complex queries?
The formatter uses a sophisticated parser that understands SQL syntax deeply. It properly handles nested subqueries, CTEs (Common Table Expressions), window functions, JOINs, and complex WHERE clauses with proper indentation levels for each nesting level.
Can I format multiple SQL statements at once?
Yes. The formatter can process multiple SQL statements separated by semicolons. It will format each statement independently while maintaining consistent styling across all statements in the batch.
Is there a way to minify SQL for production?
Yes! Use the "Minify" button to remove all unnecessary whitespace and line breaks, creating a compact SQL statement suitable for production environments where file size matters.