Formatters

SQL Formatter

Format and beautify SQL queries with syntax validation

SQL Input

Dialect

Keyword case

Indent

Comma position

Wrap at

Lines between

DISTINCT on new line AND/OR on new line Trailing commas Operator spacing

About

SQL formatter supporting 11 dialects: MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Redshift, Snowflake, DB2, MariaDB, and Standard SQL. Offers configurable keyword case (upper/lower/capitalize), comma position (leading/trailing), logical operator placement on new lines, and inline/expanded expression toggling.

SQL queries quickly become unreadable without consistent formatting. This tool enforces a unified style across teams, databases, and tools by supporting dialect-specific syntax and customizable formatting rules.

Who should use this tool?

Data engineers, analysts, backend developers, and database administrators who write, review, or maintain SQL queries across multiple database platforms.

Common use cases

Format a 200-line PostgreSQL query with CTEs and window functions for code review
Convert a messy MySQL query to consistent upper-case keywords with leading commas
Ensure Snowflake-specific syntax (QUALIFY, LATERAL FLATTEN) is handled correctly
Prepare a formatted Oracle query with PL/SQL blocks for documentation
Reformat a legacy SQL Server query to use trailing commas with indented columns
Compare formatted output across dialects to catch syntax incompatible with a target database

How to Use

Paste or type your SQL query into the input editor.

Select a target dialect from the dropdown (MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Redshift, Snowflake, DB2, MariaDB, or Standard SQL).

Choose keyword case: UPPER, lower, or Capitalize.

Set comma position to Leading (before column name) or Trailing (after column name).

Toggle logical operator newlines to place AND/OR at the start of each line for readability.

Click Format to generate the output; use the copy button to transfer the result to your clipboard.

Examples

Input: "SELECT id,name, email  FROM users WHERE age>18 ORDER BY name" (MySQL, UPPER, trailing commas) → "SELECT id, name, email FROM users WHERE age > 18 ORDER BY name" (properly spaced and cased)

Input: "SELECT a.* FROM tbl a LEFT JOIN tbl2 b ON a.id=b.id WHERE a.x=1 AND b.y=2 OR b.z=3" (PostgreSQL, lower, leading commas, AND/OR on new lines) → multi-line output with each AND/OR on its own line

Best Practices

Always select the correct dialect to avoid syntax misinterpretation (e.g., :: type cast vs. CONVERT)
Use leading commas to make column additions/deletions easier in version control diffs
Enable logical operator newlines for complex WHERE clauses with multiple conditions
Standardize on one keyword case across your team for consistency
Run formatted queries through a linter (e.g., sqlfluff) as an additional validation step

Common Mistakes

Formatting with the wrong dialect can produce invalid SQL (e.g., using MySQL-specific syntax for PostgreSQL)
Using trailing commas in all contexts — some databases reject trailing commas in certain clauses
Assuming the formatter handles all vendor-specific syntax perfectly — always review the output
Over-formatting very long queries into deeply nested blocks that are harder to read than a flatter layout
Forgetting to re-format after editing — incremental changes can break alignment

FAQ

Does the formatter handle CTEs and window functions? Yes

WITH clauses, ROW_NUMBER(), RANK(), and other window functions are indented and spaced correctly.

Can I format only part of a query? The tool formats the entire input; for partial formatting, extract the relevant subquery first.

What about DDL and DML statements? CREATE, ALTER, INSERT, UPDATE, DELETE are all supported with proper formatting.

Does it preserve comments? Yes

single-line (--) and block (/* */) comments are preserved in the output.

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Learning Resources

Dive deeper with our comprehensive guides and tutorials.

SQL Formatter - Beginner's Guide

5 min read

SQL Formatter Advanced Techniques

8 min read

SQL Formatter

Format and beautify SQL queries with syntax validation

SQL Input

Dialect

Keyword case

Indent

Comma position

Wrap at

Lines between

DISTINCT on new line AND/OR on new line Trailing commas Operator spacing

About

Who should use this tool?

Data engineers, analysts, backend developers, and database administrators who write, review, or maintain SQL queries across multiple database platforms.

Common use cases

Format a 200-line PostgreSQL query with CTEs and window functions for code review
Convert a messy MySQL query to consistent upper-case keywords with leading commas
Ensure Snowflake-specific syntax (QUALIFY, LATERAL FLATTEN) is handled correctly
Prepare a formatted Oracle query with PL/SQL blocks for documentation
Reformat a legacy SQL Server query to use trailing commas with indented columns
Compare formatted output across dialects to catch syntax incompatible with a target database

How to Use

Paste or type your SQL query into the input editor.

Select a target dialect from the dropdown (MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Redshift, Snowflake, DB2, MariaDB, or Standard SQL).

Choose keyword case: UPPER, lower, or Capitalize.

Set comma position to Leading (before column name) or Trailing (after column name).

Toggle logical operator newlines to place AND/OR at the start of each line for readability.

Click Format to generate the output; use the copy button to transfer the result to your clipboard.

Examples

Input: "SELECT id,name, email  FROM users WHERE age>18 ORDER BY name" (MySQL, UPPER, trailing commas) → "SELECT id, name, email FROM users WHERE age > 18 ORDER BY name" (properly spaced and cased)

Input: "SELECT a.* FROM tbl a LEFT JOIN tbl2 b ON a.id=b.id WHERE a.x=1 AND b.y=2 OR b.z=3" (PostgreSQL, lower, leading commas, AND/OR on new lines) → multi-line output with each AND/OR on its own line

Best Practices

Always select the correct dialect to avoid syntax misinterpretation (e.g., :: type cast vs. CONVERT)

Use leading commas to make column additions/deletions easier in version control diffs

Enable logical operator newlines for complex WHERE clauses with multiple conditions

Standardize on one keyword case across your team for consistency

Run formatted queries through a linter (e.g., sqlfluff) as an additional validation step

Common Mistakes

Formatting with the wrong dialect can produce invalid SQL (e.g., using MySQL-specific syntax for PostgreSQL)

Using trailing commas in all contexts — some databases reject trailing commas in certain clauses

Assuming the formatter handles all vendor-specific syntax perfectly — always review the output

Over-formatting very long queries into deeply nested blocks that are harder to read than a flatter layout

Forgetting to re-format after editing — incremental changes can break alignment

FAQ

Does the formatter handle CTEs and window functions? Yes

WITH clauses, ROW_NUMBER(), RANK(), and other window functions are indented and spaced correctly.

Can I format only part of a query? The tool formats the entire input; for partial formatting, extract the relevant subquery first.

What about DDL and DML statements? CREATE, ALTER, INSERT, UPDATE, DELETE are all supported with proper formatting.

Does it preserve comments? Yes

single-line (--) and block (/* */) comments are preserved in the output.

SQL Formatter

About

Who should use this tool?

Common use cases

How to Use

Examples

Best Practices

Common Mistakes

FAQ

Related Tools

Same Category — Formatters

JSON Formatter

JavaScript Minifier/Beautifier

HTML Formatter/Validator

CSS Formatter/Minifier

Popular Tools

Base64 Encoder/Decoder

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Learning Resources

Share

SQL Formatter

About

Who should use this tool?

Common use cases

How to Use

Examples

Best Practices

Common Mistakes

FAQ

Related Tools

Same Category — Formatters

JSON Formatter

JavaScript Minifier/Beautifier

HTML Formatter/Validator

CSS Formatter/Minifier

Popular Tools

Base64 Encoder/Decoder

JWT Decoder

URL Encoder/Decoder

Learning Resources

Share