SQL Query Formatter

Format, beautify, and organize your SQL queries with proper indentation and keyword capitalization. Supports multiple SQL dialects and formatting styles.

SQL Query Formatter

Keyword Case

Format Style

Indent Size

Add Semicolon

Break Before JOIN

Break After SELECT

SQL Input

Valid

Characters: 185 | Lines: 1

Formatted SQL

Formatted SQL will appear here...

Example Queries

Professional SQL formatting made easy!

Improve code readability, maintainability, and team collaboration

Why Format SQL Queries?

Benefits of Formatted SQL

Improved readability and maintainability
Easier debugging and troubleshooting
Better collaboration among team members
Faster code reviews and understanding
Consistent coding standards
Reduced syntax errors

Common Issues with Unformatted SQL

Hard to identify logical structure
Difficult to spot syntax errors
Time-consuming to understand complex queries
Inconsistent coding styles in teams
Harder to optimize performance
Increased chance of errors during modifications

SQL Formatting Examples

Before Formatting

select u.id,u.username,u.email,p.title,p.content,p.created_at from users u inner join posts p on u.id=p.user_id where u.active=1 and p.published=true order by p.created_at desc limit 10;

After Formatting

SELECT 
    u.id,
    u.username,
    u.email,
    p.title,
    p.content,
    p.created_at
FROM users u
INNER JOIN posts p ON u.id = p.user_id
WHERE 
    u.active = 1 
    AND p.published = true
ORDER BY p.created_at DESC
LIMIT 10;

SQL Best Practices

Use Uppercase Keywords

SQL keywords should be written in uppercase for better readability.

❌ Poor:

select * from users where active = 1;

✅ Better:

SELECT * FROM users WHERE active = 1;

Proper Indentation

Use consistent indentation to show query structure and hierarchy.

SELECT 
    t1.column1,
    t1.column2,
    t2.column3
FROM table1 t1
    LEFT JOIN table2 t2 ON t1.id = t2.table1_id
WHERE 
    t1.status = 'active'
    AND (
        t1.category = 'premium' 
        OR t1.score > 100
    )

Line Breaks for Readability

Break long queries into logical sections with appropriate line breaks.

SELECT 
    u.username,
    COUNT(p.id) AS post_count,
    MAX(p.created_at) AS last_post_date
FROM users u
    LEFT JOIN posts p ON u.id = p.user_id
WHERE u.created_at >= '2024-01-01'
GROUP BY 
    u.id, 
    u.username
HAVING COUNT(p.id) > 5
ORDER BY post_count DESC;

SQL Dialect Support

🐬

MySQL

World's most popular open-source database

🐘

PostgreSQL

Advanced open-source relational database

🔴

Oracle

Enterprise-grade database management system

🏢

SQL Server

Microsoft's enterprise database platform

Common SQL Query Types

Data Query Language (DQL)

SELECT statements
JOIN operations
Subqueries and CTEs
Window functions
Aggregate functions

Data Manipulation Language (DML)

INSERT statements
UPDATE statements
DELETE statements
MERGE operations
UPSERT patterns

Advanced SQL Features

Common Table Expressions (CTEs)

WITH monthly_sales AS (
    SELECT 
        DATE_TRUNC('month', order_date) AS month,
        SUM(total_amount) AS total_sales
    FROM orders
    WHERE order_date >= '2024-01-01'
    GROUP BY DATE_TRUNC('month', order_date)
),
sales_growth AS (
    SELECT 
        month,
        total_sales,
        LAG(total_sales) OVER (ORDER BY month) AS prev_month_sales
    FROM monthly_sales
)
SELECT 
    month,
    total_sales,
    ROUND(
        ((total_sales - prev_month_sales) / prev_month_sales) * 100, 
        2
    ) AS growth_percentage
FROM sales_growth
ORDER BY month;

Window Functions

SELECT 
    employee_id,
    department,
    salary,
    AVG(salary) OVER (PARTITION BY department) AS dept_avg_salary,
    RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS dept_rank,
    ROW_NUMBER() OVER (ORDER BY salary DESC) AS overall_rank
FROM employees
ORDER BY department, salary DESC;

SQL Performance Tips

Optimization Techniques

Use indexes strategically
Avoid SELECT * in production
Use appropriate JOIN types
Filter early with WHERE clauses
Use LIMIT for large result sets
Consider query execution plans

Common Pitfalls

N+1 query problems
Cartesian products from missing JOINs
Functions in WHERE clauses
Unnecessary DISTINCT operations
Subqueries instead of JOINs
Missing indexes on JOIN columns