MySQL/MariaDB
Dialects: MySQL 5.x, 8.x, MariaDB Features: Stored procedures, triggers, functions
Format MySQL queries with support for specific syntax including backtick identifiers and MySQL-specific functions.
PostgreSQL
Dialects: PostgreSQL 9.x-16.x Features: CTEs, window functions, JSON operators
Handle PostgreSQL-specific syntax including arrays, JSON operators, and advanced query features.
Oracle & SQL Server
Dialects: Oracle PL/SQL, T-SQL Features: Packages, procedures, cursors
Format complex stored procedures and enterprise-level database code with platform-specific optimizations.
Common Use Cases
Query Optimization
Format complex queries to identify performance issues, analyze execution plans, and optimize JOIN operations and subqueries.
Code Review
Standardize SQL code formatting across teams, improve code readability for peer reviews, and maintain consistent coding standards.
Stored Procedures
Format large stored procedures with 100+ lines, debug complex PL/SQL or T-SQL code, and maintain enterprise database logic.
Data Analysis
Create readable queries for business intelligence reports, format complex analytics queries with CTEs and window functions.
Frequently Asked Questions
What’s the difference between formatting and minifying SQL?
Formatting adds proper indentation, line breaks, and spacing to make SQL queries more readable. Minifying removes all unnecessary whitespace and comments to reduce file size for production deployment. Use formatting for development and minifying for production.
Does SQL formatting affect query performance?
No, formatting (whitespace, indentation, line breaks) does not affect query execution performance. The database parser ignores formatting. However, well-formatted SQL is easier to optimize because developers can better understand query logic and identify performance bottlenecks.
Can I use this tool for stored procedures?
Yes, SQL formatters work with stored procedures, functions, triggers, and packages. They’re especially useful for procedures with 100+ lines, making complex logic easier to read, debug, and maintain across Oracle PL/SQL, SQL Server T-SQL, and PostgreSQL PL/pgSQL.
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