SQL Formatter & Validator
Format, validate, and minify SQL queries online. Our SQL formatter provides proper indentation, keyword capitalization, and syntax validation to help you write cleaner, more readable SQL code.
SQL Formatter & Validator
Format, minify, and validate SQL queries with proper indentation and syntax checking.
Features
SQL Formatting
- • Proper indentation and line breaks
- • Keyword capitalization
- • Improved readability
SQL Validation
- • Syntax error detection
- • Parentheses matching
- • Quote validation
SQL Minification
- • Remove unnecessary whitespace
- • Compact query format
- • Optimize for storage
File Operations
- • Upload SQL files
- • Download formatted results
- • Copy to clipboard
How to Use the SQL Formatter
- Input SQL: Paste your SQL query in the input area or upload a SQL file
- Choose Action: Select Format SQL for pretty printing, Minify SQL for compression, or Validate SQL for error checking
- Get Results: View the formatted, minified, or validation results in the output area
- Download or Copy: Save your formatted SQL or copy it to clipboard
What is SQL Formatting?
SQL formatting (also known as SQL pretty printing) is the process of organizing SQL code with proper indentation, line breaks, and keyword capitalization to make it more readable and maintainable. Well-formatted SQL is essential for debugging, code reviews, and team collaboration.
SQL Validation
SQL validation checks your SQL queries for common syntax errors such as mismatched parentheses, unclosed string literals, and missing keywords. While this tool provides basic validation, it's recommended to test your queries against your specific database system for complete validation.
SQL Minification
SQL minification removes unnecessary whitespace, comments, and formatting to reduce query size. This can be useful for applications where SQL queries are stored as strings or transmitted over networks where size matters.
Supported SQL Features
- DML Statements: SELECT, INSERT, UPDATE, DELETE
- DDL Statements: CREATE, ALTER, DROP
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
- Clauses: WHERE, ORDER BY, GROUP BY, HAVING
- Functions: Aggregate and scalar functions
- Subqueries: Nested SELECT statements
SQL Best Practices
- Use uppercase for SQL keywords (SELECT, FROM, WHERE, etc.)
- Use meaningful table and column aliases
- Indent subqueries and complex expressions
- Place each major clause on a new line
- Use consistent spacing around operators
- Comment complex queries for better understanding
Common SQL Formatting Styles
Different organizations and developers prefer different SQL formatting styles. Our formatter follows common conventions including:
- Keywords in uppercase
- Each major clause on a new line
- Consistent indentation for readability
- Proper spacing around operators and commas
Frequently Asked Questions
Is my SQL code secure when using this formatter?
Yes, all SQL processing happens entirely in your browser using client-side JavaScript. Your SQL code is never sent to our servers or stored anywhere. This ensures complete privacy and security for your database queries and sensitive SQL content.
Can I format complex SQL queries with multiple JOINs?
Yes, our SQL formatter can handle complex queries including multiple JOINs, subqueries, UNION statements, and nested conditions. The formatter will apply proper indentation and line breaks to make even the most complex queries readable.
Does the formatter work with all SQL dialects?
Our formatter works with standard SQL syntax and is compatible with most SQL dialects including MySQL, PostgreSQL, SQL Server, Oracle, and SQLite. However, some database-specific syntax or functions might not be perfectly formatted.
Can I customize the formatting style?
Currently, the formatter uses a standard formatting style with uppercase keywords and consistent indentation. Future versions may include customizable formatting options based on user preferences and popular style guides.
What types of SQL errors can the validator detect?
The validator can detect basic syntax errors such as mismatched parentheses, unclosed string literals, and missing SQL keywords. For comprehensive validation including table/column existence and data type checking, you should test queries against your actual database system.