SQL Formatter
SQL (Structured Query Language) is the standard language for managing and querying relational databases. Properly formatted SQL is easier to read, debug, and maintain, especially for complex queries with multiple joins and subqueries.
This tool formats SQL queries with configurable indentation and dialect awareness. It handles SELECT, INSERT, UPDATE, DELETE statements, JOINs, subqueries, CASE expressions, and comments. Choose between Standard SQL, MySQL, and PostgreSQL dialects.
How it works
SQL formatting follows a set of conventions: major clauses (SELECT, FROM, WHERE, JOIN) start on new lines, column lists are indented, and logical operators (AND, OR) align under their parent clause.
Use cases
- Making complex queries readable during code review
- Formatting stored procedures and database migrations
- Standardizing SQL style across a development team
- Debugging long queries by visually separating clauses
Frequently asked questions
How do I format an SQL query online?
Paste your query into the tool, pick a dialect (Standard SQL, MySQL, or PostgreSQL) and an indentation size, and the formatter rewrites it with consistent style. Major clauses like SELECT, FROM, WHERE, and JOIN start on new lines, column lists are indented, and AND/OR operators align under their parent clause.
Does formatting SQL change the query results?
No. Formatting only changes whitespace, line breaks, and indentation — the keywords, identifiers, values, and logic remain exactly the same. The database parses the formatted query identically to the original, so it is safe to beautify production queries.
Which SQL statements does the formatter support?
The formatter handles SELECT, INSERT, UPDATE, and DELETE statements, along with JOINs, subqueries, CASE expressions, and comments. It supports Standard SQL, MySQL, and PostgreSQL dialects, so dialect-specific syntax is formatted correctly.
Why should I format SQL queries?
Well-formatted SQL is far easier to read, review, and debug — especially complex queries with multiple joins and subqueries. Placing each major clause on its own line makes the query's logic visible at a glance and helps spot mistakes like a misplaced AND condition. It also keeps SQL style consistent across a development team.
What is the difference between MySQL and PostgreSQL syntax?
The core SQL is largely shared, but the dialects differ in details: MySQL traditionally quotes identifiers with backticks (`), while PostgreSQL uses double quotes and supports additional syntax such as ILIKE and RETURNING. Function names and type casts also vary between the two. Selecting the right dialect in the formatter ensures these constructs are handled properly.