SQL Formatter

Format SQL queries for better readability (supports various SQL dialects!)

Input
Result
Read-only

What is SQL Formatter Tool?

The SQL Formatter Tool is a powerful utility that beautifies and structures complex, hard-to-read SQL queries to significantly enhance readability. With this tool, even lengthy and intricate SQL code can be instantly transformed into well-structured, easy-to-understand formats, improving both efficiency and quality of database-related work.

Supporting multiple SQL languages (dialects) and offering various customization options, this tool helps you achieve consistent code formatting that aligns with your team's or personal development style preferences.

Key Use Cases for SQL Formatter

The SQL Formatter Tool provides exceptional value in the following scenarios:

  • Streamlining Code Reviews: Uniformly formatted SQL makes it easier to spot logical errors and improves review efficiency
  • Database Development Education: Format complex queries written by beginners to create educational materials that demonstrate proper SQL structure
  • Documentation Enhancement: Beautify SQL code included in technical documentation and manuals for improved readability
  • Legacy Code Refactoring: Restructure unformatted SQL extracted from older systems during modernization efforts
  • Cross-Database Migration: Format queries according to the syntax of your target database system when migrating between different database platforms

How to Use the SQL Formatter Tool

Basic Usage

  1. Enter SQL: Paste your SQL code into the input area
  2. Automatic Formatting: The code is automatically formatted in real-time as you type or paste
  3. Review Results: View the formatted SQL in the output area
  4. Copy and Use: Click the copy button to transfer the formatted SQL to your clipboard for use anywhere

Formatting Example

A hard-to-read SQL query like this:

SELECT p.product_name,c.category_name,sum(s.sales_amount) as total FROM products p JOIN categories c ON p.category_id=c.id JOIN sales s ON p.id=s.product_id WHERE s.sales_date BETWEEN '2025-01-01' AND '2025-04-30' GROUP BY p.product_name,c.category_name HAVING sum(s.sales_amount)>1000 ORDER BY total DESC;

Will be beautifully formatted as:

SELECT
  p.product_name,
  c.category_name,
  sum(s.sales_amount) as total
FROM
  products p
JOIN
  categories c ON p.category_id = c.id
JOIN
  sales s ON p.id = s.product_id
WHERE
  s.sales_date BETWEEN '2025-01-01' AND '2025-04-30'
GROUP BY
  p.product_name,
  c.category_name
HAVING
  sum(s.sales_amount) > 1000
ORDER BY
  total DESC;

Formatting Options Customization

SQL Language (Dialect)

By specifying the SQL language for formatting, you can apply optimized formatting for each database's specific syntax and functions. The tool supports these major SQL languages:

  • Standard SQL: Formatting that complies with standard SQL conventions
  • MySQL: Formatting that accommodates MySQL-specific syntax
  • MariaDB: Support for MariaDB's unique features
  • PostgreSQL: Optimized formatting for PostgreSQL functions and syntax
  • DB2: Specialized formatting for IBM DB2
  • SQLite: Optimized formatting for SQLite
  • BigQuery: Support for Google BigQuery syntax
  • Redshift: Formatting tailored for Amazon Redshift

Choosing the appropriate language allows optimal handling of syntax and functions specific to each database system.

Indentation Style

Indentation visually represents the hierarchical structure of code and significantly affects SQL readability. You can customize:

  • Indentation Width: 2 spaces (default), 4 spaces, tabs, etc.
  • Consistency: Maintain unified hierarchical structure across all levels

Keyword Case Conversion

You can standardize the capitalization style of SQL keywords (SELECT, FROM, WHERE, etc.):

  • Uppercase: Convert all keywords to uppercase (e.g., SELECT, FROM, WHERE)
  • Lowercase: Convert all keywords to lowercase (e.g., select, from, where)
  • Preserve Original Format: Maintain case as entered

Additional Options

  • Function Name Case: Standardize the capitalization style of database functions
  • Comment Preservation: Maintain comments within SQL code during formatting
  • Line Break Handling: Customize where line breaks are inserted for clauses like JOIN and WHERE

Benefits of SQL Formatting

  • Reduced Debugging Time: Structured code makes it easier to identify problem areas
  • Improved Code Quality: Consistently formatted SQL enhances maintainability
  • Enhanced Team Collaboration: Standardized formatting facilitates better code understanding among team members
  • Educational Value: Properly formatted SQL serves as excellent learning material for proper SQL structure

Important Notes

  • Formatting very large SQL queries may take additional processing time
  • Special comment syntax or non-standard structures may not be fully supported
  • While formatting adds spaces and line breaks for readability, it does not alter the logical structure or execution results of your SQL