SQL Formatter

Popular

Format and beautify your SQL queries for better readability and maintainability. Supports various SQL dialects and customizable indentation.

4.0
•680 uses today•Last updated: 9 days ago

Original SQL

Formatted SQL

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About SQL Formatter

The SQL Formatter is a powerful tool for database developers and administrators that helps format and beautify SQL queries. It makes complex queries more readable and easier to maintain by applying consistent formatting rules.

Key Features

  • Multi-dialect Support: Format SQL for different database systems including MySQL, PostgreSQL, SQL Server, and Oracle
  • Customizable Indentation: Choose between 2, 4, or 8 spaces for indentation
  • Statement Recognition: Automatically formats different types of SQL statements (SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER)
  • Import/Export: Upload SQL files or download formatted results

Why Format SQL?

Properly formatted SQL offers several benefits:

  • Improved Readability: Well-formatted queries are easier to read and understand
  • Better Maintainability: Consistent formatting makes queries easier to maintain and modify
  • Easier Debugging: Clean SQL helps identify and fix issues faster
  • Enhanced Collaboration: Consistent style makes it easier for teams to work together
  • Query Optimization: Well-formatted queries make it easier to spot optimization opportunities

SQL Formatting Best Practices

Consider these best practices when formatting your SQL:

  • Use consistent capitalization for SQL keywords (either all uppercase or all lowercase)
  • Place each major clause (SELECT, FROM, WHERE, etc.) on a new line
  • Indent subqueries and conditions for better readability
  • Align related items vertically when appropriate
  • Use meaningful whitespace to separate logical sections
  • Keep line length reasonable to avoid horizontal scrolling
  • Use comments to explain complex logic or non-obvious decisions

SQL Dialect Differences

Different database systems have slightly different SQL syntax and features:

  • MySQL: Uses backticks (`) for identifiers and has specific functions like CONCAT()
  • PostgreSQL: Uses double quotes for identifiers and supports advanced data types and operators
  • SQL Server: Uses square brackets [] for identifiers and has T-SQL extensions
  • Oracle: Uses specific syntax for pagination (ROWNUM) and has PL/SQL extensions