SQL Formatter
Format, minify, and validate SQL queries with dialect support.
Free online SQL formatter, beautifier, and query validator for database administrators and software engineers. Paste your complex SQL queries, stored procedures, or migration scripts to instantly beautify and standardize them. Select from 11 relational and analytics dialects including PostgreSQL, MySQL, MariaDB, SQLite, Microsoft T-SQL, Oracle PL/SQL, Google BigQuery, Amazon Redshift, Spark SQL, and Snowflake. Customize indentation with 2 or 4 spaces, enforce uppercase SQL keywords, and minify statements for production environment configs or inline application code. Multi-pass syntax validation highlights syntax errors with exact positions. Operates client-side in your browser.
Keywords: sql formatter, sql beautifier, sql prettifier, format sql online, sql minifier, sql validator, postgresql formatter, mysql formatter, sql indent, sql pretty print, sql formatter online, format sql, sql beautify
Tags: sql, format, prettify, query, database, minify
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How to SQL Formatter Online
Paste your SQL query into the input area on the left, or upload a .sql file using the upload button.
Select your SQL dialect from the dropdown: Standard SQL, PostgreSQL, MySQL, MariaDB, SQLite, T-SQL, PL/SQL, BigQuery, Redshift, Spark SQL, or Snowflake.
Choose your indentation style — 2 spaces or 4 spaces — and whether to uppercase SQL keywords.
Click the Format button or press ⌘↵ (Mac) / Ctrl+Enter (Windows) to beautify your SQL instantly.
Copy the formatted output with ⌘⇧C, or download it as a .sql file.
SQL Formatter Features
Support for 11 SQL dialects: Standard SQL, PostgreSQL, MySQL, MariaDB, SQLite, T-SQL (SQL Server), PL/SQL (Oracle), BigQuery, Amazon Redshift, Spark SQL, and Snowflake.
Configurable indentation: 2 spaces or 4 spaces to match your team's coding standards.
Keyword uppercasing to enforce consistent ALL-CAPS SQL keywords across your codebase.
SQL minifier: collapses formatted SQL to a single line for production use, removing unnecessary whitespace.
SQL validator with multi-pass error detection: balanced parentheses and quotes, valid statement keywords, LIMIT/OFFSET type checks, and dialect-level parse validation.
Syntax highlighting with color-coded keywords, strings, numbers, and comments.
Line numbers in the input panel for easy error location.
Shareable URLs: compress your SQL into a gzip URL parameter for sharing with teammates.
Works entirely in your browser — no SQL is sent to any server. Your data stays private.
Keyboard shortcuts for power users: ⌘⇧F to format, ⌘⇧M to minify, ⌘⇧V to validate.
Supported Formats & Dialects
The SQL Formatter supports 11 syntax formats and dialects for accurate parsing and processing.
- Standard SQL
- ANSI/ISO standard SQL syntax, compatible with most relational databases. Use this as a generic fallback when your specific database isn't listed.
- PostgreSQL
- Formats PostgreSQL-specific syntax including RETURNING, :: type casts, dollar-quoted strings, LISTEN/NOTIFY, and common table expressions (WITH RECURSIVE).
- MySQL
- Handles MySQL syntax including backtick-quoted identifiers, AUTO_INCREMENT, ENUM/SET types, and MySQL-specific function names.
- MariaDB
- MariaDB-specific SQL formatting, including extensions over MySQL such as SEQUENCE objects and ROW_COUNT().
- SQLite
- SQLite dialect formatting with support for PRAGMA statements, UPSERT syntax (INSERT OR REPLACE), and SQLite type affinity rules.
- T-SQL (SQL Server)
- Microsoft Transact-SQL formatting for SQL Server and Azure SQL Database, including TOP, GO batch separator, square-bracket identifiers, and TRY/CATCH blocks.
- PL/SQL (Oracle)
- Oracle PL/SQL formatting with support for ROWNUM, CONNECT BY hierarchical queries, MERGE statements, and stored procedure blocks.
- BigQuery
- Google BigQuery Standard SQL formatting, including array and struct syntax, QUALIFY clauses, SAFE functions, and partitioned table DDL.
- Amazon Redshift
- AWS Redshift SQL formatting with support for Redshift-specific distribution keys (DISTKEY), sort keys (SORTKEY), and compression encodings.
- Spark SQL
- Apache Spark SQL formatting for big data pipelines, including TRANSFORM, LATERAL VIEW EXPLODE, and Delta Lake extensions.
- Snowflake
- Snowflake SQL formatting with support for semi-structured data functions (PARSE_JSON, FLATTEN), time travel syntax, and Snowpark expressions.
In-Depth Technical Guides
All GuidesMastering SQL Execution Plans: Reading EXPLAIN ANALYZE, Index Scans & Query Optimization
Diagnose slow database queries by decoding EXPLAIN (ANALYZE, BUFFERS) output trees, optimizing composite indexes, understanding bitmap heap scans, and eliminating sequential scans.
Visual Text Diffing, Unified Diff Syntax & Git Patch Workflows
Master code diff algorithms (Myers, Patience, Histogram), unified diff patch anatomy (@@ coordinates), side-by-side vs inline comparison, and patch workflows.
Related Standards & RFC Specifications
All StandardsPre-built Automation Pipelines
Chain SQL Formatter with other utilities in a multi-step visual workflow.
SQL Formatter
Format and beautify SQL queries.
Format SQL & Encode
Beautify SQL queries and encode for storage.
Example Input & Output
Sample ReferenceInteractive Example: SQL Formatter in ActionShow example
Sample Input (sql)
select u.id,u.name,count(p.id) as total from users u left join posts p on p.user_id=u.id where u.active=1 group by u.id,u.name order by total desc limit 10;Sample Output
SELECT
u.id,
u.name,
COUNT(p.id) AS total
FROM
users u
LEFT JOIN posts p ON p.user_id = u.id
WHERE
u.active = 1
GROUP BY
u.id,
u.name
ORDER BY
total DESC
LIMIT
10;What happened:
Beautifies standard ANSI SQL, MySQL, PostgreSQL, and SQLite queries with customizable keyword uppercase and indentation.
Pairwise Format Converters
All ConvertersConvert JSON to SQL (DDL / Inserts)
Free, 100% client-side private JSON to SQL (DDL / Inserts) converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Convert YAML to SQL (DDL / Inserts)
Free, 100% client-side private YAML to SQL (DDL / Inserts) converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Convert TOML to SQL (DDL / Inserts)
Free, 100% client-side private TOML to SQL (DDL / Inserts) converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Convert CSV to SQL (DDL / Inserts)
Free, 100% client-side private CSV to SQL (DDL / Inserts) converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Convert XML to SQL (DDL / Inserts)
Free, 100% client-side private XML to SQL (DDL / Inserts) converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Convert SQL (DDL / Inserts) to JSON
Free, 100% client-side private SQL (DDL / Inserts) to JSON converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
Error Diagnostics & Triage Guides
All Debug GuidesERROR 1064 (42000): You have an error in your SQL syntax
The MySQL SQL parser encountered an unexpected token or reserved keyword that violates the grammar specification. This frequently occurs when using reserved words like `order`, `groups`, or `rank` as unquoted column names.
ERROR 1040 (08004): Too many connections
Active client connections to the MySQL server have reached the configured `max_connections` ceiling. All subsequent TCP connection attempts are rejected with Error 1040.
Frequently Asked Questions
- Is this SQL formatter free?
- Yes, DevFlow SQL Formatter is completely free with no usage limits. All formatting, minification, and validation runs directly in your browser.
- Is my SQL data safe?
- Your SQL is formatted entirely in your browser using the sql-formatter JavaScript library. No SQL is ever transmitted to a server. Your queries stay on your machine.
- What SQL dialects are supported?
- We support 11 SQL dialects: Standard SQL, PostgreSQL, MySQL, MariaDB, SQLite, T-SQL (Microsoft SQL Server), PL/SQL (Oracle), Google BigQuery, Amazon Redshift, Apache Spark SQL, and Snowflake.
- Can I format SQL with multiple statements?
- Yes. The formatter handles multiple SQL statements separated by semicolons. The 'Lines between queries' option controls how much whitespace appears between each statement.
- What is SQL minification?
- SQL minification collapses a formatted SQL query to a single line by removing all unnecessary whitespace and newlines. Minified SQL is useful for embedding queries in application code, environment variables, or configuration files where readability is less important than compactness.
- How does SQL validation work?
- The validator runs multiple checks: it verifies balanced parentheses and quotes, checks that each statement begins with a valid DML/DDL keyword (SELECT, INSERT, UPDATE, etc.), validates LIMIT/OFFSET syntax, and attempts a full parse using the sql-formatter library to catch dialect-specific errors.
- Can I upload a .sql file?
- Yes. Click the upload icon in the input panel header to select a .sql or .txt file from your computer. The file contents are loaded into the input area for formatting.
- Does it work offline?
- The formatter uses a pure-JavaScript library (sql-formatter) bundled with the page, so once the page has loaded it works without an internet connection.
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