SQL Formatter & Beautifier

Format and beautify SQL queries with proper indentation and keyword capitalization. Perfect for database developers and data analysts.

About SQL Formatter & Beautifier

SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. Our SQL Formatter helps developers write cleaner, more readable SQL queries by automatically formatting and organizing SQL code according to best practices.

Key Features

  • Automatic Formatting: Format SQL with proper indentation (2, 4, or 8 spaces)
  • Keyword Capitalization: Automatically capitalize SQL keywords for consistency
  • Smart Line Breaking: Add line breaks before major clauses (SELECT, FROM, WHERE, JOIN)
  • Minification: Remove unnecessary whitespace to reduce file size
  • Statistics Display: View query type, keywords count, and size metrics
  • Universal Support: Works with MySQL, PostgreSQL, SQL Server, Oracle, SQLite

SQL Formatting Best Practices

1. Capitalize Keywords

Always write SQL keywords in UPPERCASE to distinguish them from table and column names.

SELECT name, email FROM users WHERE status = 'active';

2. One Clause Per Line

Place each major clause (SELECT, FROM, WHERE, etc.) on a separate line for better readability.

SELECT user_id, username FROM users WHERE created_at > '2024-01-01';

3. Indent Subclauses

Indent conditions in WHERE clauses and columns in SELECT statements for hierarchy.

SELECT user_id, username, email FROM users WHERE status = 'active' AND created_at > NOW() - INTERVAL 6 MONTH;

4. Align JOIN Clauses

Keep JOIN statements aligned and place ON conditions on the same indentation level.

SELECT u.username, o.order_id FROM users u LEFT JOIN orders o ON u.user_id = o.user_id;

Common SQL Query Types

SELECT Queries

Retrieve data from database tables

SELECT * FROM users;

INSERT Statements

Add new rows to tables

INSERT INTO users VALUES (...);

UPDATE Statements

Modify existing data

UPDATE users SET status='active';

DELETE Statements

Remove rows from tables

DELETE FROM users WHERE ...;

Benefits of Formatted SQL

  • Improved Readability: Well-formatted queries are easier to read and understand
  • Easier Debugging: Identify syntax errors and logic issues more quickly
  • Better Collaboration: Consistent formatting helps team members work together
  • Code Maintenance: Formatted code is easier to maintain and modify
  • Performance Analysis: Clearly see query structure for optimization
  • Learning Tool: Helps beginners understand SQL query structure
  • Professional Standards: Demonstrates attention to code quality

Use Cases

Development & Testing

Format queries during development for better readability and easier debugging

Code Reviews

Ensure consistent formatting across team code reviews and pull requests

Documentation

Create clean, readable SQL examples for technical documentation

Learning SQL

Understand SQL structure by seeing properly formatted examples

Supported SQL Dialects

MySQL
PostgreSQL
SQL Server
Oracle
SQLite
MariaDB

Frequently Asked Questions

Does formatting change query execution?

No, formatting only affects whitespace and keyword capitalization. The query logic and results remain exactly the same. SQL databases ignore extra whitespace and are case-insensitive for keywords.

Should I capitalize all SQL keywords?

While SQL is case-insensitive, capitalizing keywords is a widely accepted best practice that improves readability by clearly distinguishing keywords from table/column names.

Can I use this for stored procedures?

Yes! This formatter works with any SQL code including stored procedures, functions, triggers, and complex queries with multiple clauses and subqueries.

Is my SQL data secure?

Absolutely. All formatting happens entirely in your browser. Your SQL queries are never sent to any server, ensuring complete privacy and security.

When should I minify SQL?

Minify SQL when file size matters, such as embedding queries in application code or storing them in configuration files. For development and debugging, always use formatted SQL.