Formateur & Embellisseur SQLpour Développeurs Modernes
Embellissez, minifiez et réécrivez vos requêtes SQL en quelques millisecondes. Zéro télémétrie serveur, support des virgules en début de ligne et diff visuel.
Free Online SQL Query Formatter, Beautifier and Minifier Workbench
Embellissement SQL rapide, privé et rigoureux
Tous les outils nécessaires pour transformer des requêtes illisibles en requêtes prêtes pour la production.
100% Client-Side Privacy
Your queries never leave your computer. Formatting runs entirely in your browser's local sandbox with zero server telemetry, making it compliant for healthcare, banking, and confidential database schemas.
20+ SQL Dialects & Cloud Data Warehouses
Standard ANSI, PostgreSQL, MySQL, Snowflake, Google BigQuery, Microsoft T-SQL, Oracle PL/SQL, Redshift, Spark, SQLite, and ClickHouse. Paste your query and our engine automatically identifies the dialect.
Visual Diff & Review Mode
Verify safety before committing. Switch directly into visual diff mode to see exact line-by-line additions, deletions, and whitespace modifications between raw code and beautified output.
Leading Comma Style
The beloved "Comma-First" style used by data engineers and enterprise DBAs. Placing commas at the start of column lines prevents missing comma errors and produces pristine 1-line Git diffs when adding columns.
Smart Paste Auto-Cleaner
Tired of copying queries from Slack, Jira, or AI chats only to encounter broken syntax caused by \_ and \* backslash escapes? Our tool detects and cleans them with one click.
1-Click Code Wrappers
Export your formatted SQL directly into native multiline strings for JavaScript/TypeScript, Python, Java 15+ Text Blocks, C# Raw String Literals, Go, Rust, and PHP Heredoc.
How Zero-Telemetry In-Browser Execution Safeguards Your Data
Most online developer utilities process user input through remote backend web APIs. When formatting internal SQL scripts containing proprietary schema definitions, financial calculations, HIPAA-regulated medical column names, or production data values, transmitting that code over third-party networks introduces severe compliance and infosec liabilities.
Our SQL query formatter operates under an uncompromising architecture: complete client isolation. The lexical tokenizer, dialect grammars, formatting rules, and visual diff algorithms are delivered as static web assets and run solely inside your web browser's local V8 or JavaScriptCore sandbox. Disconnecting your network connection verifies that full beautification, minification, and code exporting continue without interruption.
01 / Tokenization
Lexical stream generation isolates keywords, string literals, and parameters entirely within browser RAM.
02 / Tree Assembly
Dialect-specific grammar rules apply indentation depth, leading commas, and case transformations in milliseconds.
03 / Privacy Guarantee
Zero logs, zero network telemetry, and zero remote caching. Your database schemas remain confidential.
Plus de 20 Moteurs de Base de Données
Chaque dialecte dispose de règles syntaxiques adaptées à votre moteur cible.
Standard ANSI SQL
Universal ISO/IEC SQL standard
PostgreSQL
Postgres 10+ with modern JSONB & window functions
MySQL
MySQL 5.7 / 8.0 syntax & functions
Microsoft SQL Server (T-SQL)
Transact-SQL with square brackets and CTEs
SQLite
Embedded lightweight SQL
Snowflake
Snowflake SQL with semi-structured expressions
Google BigQuery
GoogleSQL dialect with struct & arrays
Amazon Redshift
AWS analytics engine
Apache Spark SQL
Distributed Big Data queries
Trino / Presto
High performance SQL distributed engine
ClickHouse
Fast column-oriented OLAP DBMS
DuckDB
In-process analytical database
MariaDB
Community-developed MySQL fork
Oracle PL/SQL
Oracle Database procedural SQL
IBM DB2
Enterprise IBM relational database
SingleStoreDB
Real-time distributed SQL
TiDB
Distributed HTAP database
Couchbase N1QL
SQL for NoSQL documents
Apache Hive
Data warehouse query software for Hadoop
Can't find your specific dialect?
Standard ANSI SQL works across virtually all SQL-92, SQL:1999, and SQL:2016 compliant engines.
Dialect-Specific Syntax Differences Handled Automatically
Every database engine implements unique SQL standards extensions, quotation conventions, and reserved analytical keywords. Our query formatter applies specialized grammar models tailored to each engine:
Automatic handling of PostgreSQL double quotes ("col"), MySQL & BigQuery backticks (`table`), and Microsoft T-SQL square brackets ([field]).
Dedicated recognition for Snowflake QUALIFY and LATERAL FLATTEN, BigQuery struct unnesting, and Redshift distribution keys.
Formatting support for multi-statement DDL/DML batches, T-SQL GO batch separators, PL/SQL packages, and transaction blocks.
Comparatif avec les Autres Formateurs SQL
Une interface moderne pensée pour les ingénieurs, sans popups ni revente de données.
Looking for a modern Poor SQL (PoorSQL) or Instant SQL Formatter alternative?
Pioneering legacy tools like Poor Man's T-SQL Formatter (poorsql), dpriver Instant SQL Formatter, and generic code beautifiers paved the way. However, they frequently require server-side query submission, lack modern cloud dialects like Snowflake or BigQuery, or bombard users with ads. sqlqueryformatter.com is built from the ground up for modern engineering teams: 100% in-browser client execution, zero server transmission, leading comma styling, side-by-side visual diffs, and 20+ active database dialects.
Guide de Style SQL
Des conventions de code claires réduisent les conflits Git et facilitent la relecture.
UPPERCASE SELECT & SQL Reserved Keywords
Standardizing SQL reserved keywords (SELECT, FROM, WHERE, JOIN) in uppercase while keeping table, schema, and column names in lowercase snake_case makes queries immediately scannable by human reviewers.
SELECT user_id, order_date
FROM customer_orders
WHERE status = 'active';
Why Leading Commas Win in Git Diffs
In trailing comma style, appending a new column modifies the previous line to add a trailing comma, resulting in two changed lines in Git pull requests. In comma-first style (, column_name), additions and deletions are strictly single-line diffs, eliminating merge conflicts.
SELECT
id
, name
, created_at
FROM users;
Modular CTEs over Deeply Nested Subqueries
Deeply nested inline subqueries quickly turn queries into unreadable spaghetti code. Decompose complex multi-step data pipelines into named Common Table Expressions (WITH clauses) to establish clear, top-to-bottom reading order.
WITH filtered_users AS (
SELECT id, email FROM users
)
SELECT * FROM filtered_users;
Explicit ANSI JOINs with Clear ON Conditions
Never use legacy comma-separated joins with filter predicates buried in the WHERE clause. Always write explicit INNER JOIN, LEFT JOIN, or CROSS JOIN keywords and place join predicates directly on the indented ON line.
FROM orders o
INNER JOIN customers c
ON c.id = o.customer_id;
Leading AND / OR Operators in WHERE Clauses
When chaining multiple filter conditions, start each condition line with the logical operator (AND, OR) rather than trailing it at the end. This structure highlights condition groupings and avoids accidental boolean logic bugs.
WHERE is_active = 1
AND region = 'US-East'
AND balance > 0;
Terminate with Semicolons & Space Comments
Always terminate statements with a semicolon (;), which is required by dialect parsers when chaining CTEs or executing batch migration scripts. For inline notes, use double dashes with a space (-- note) to prevent dialect syntax conflicts.
-- Step 1: Active customers
SELECT id FROM users WHERE active = 1;
-- Step 2: Recent transactions
SELECT * FROM transactions;
Why Formatting Conventions Matter for Database Performance and Team Productivity
Consistent SQL query formatting is not merely an aesthetic preference; it directly impacts database performance and maintenance velocity. Modern relational database management systems (RDBMS) like Oracle, Microsoft SQL Server, and PostgreSQL maintain internal query execution plan caches. Because plan cache lookups frequently rely on normalized SQL text hashing, inconsistent capitalization, erratic spacing, or scattered line breaks can prevent plan cache re-use, resulting in unnecessary query compilation overhead.
Furthermore, in engineering teams managing hundreds of database migration files, uniform SQL syntax reduces pull request cognitive fatigue. When teammates adopt standardized leading commas, predictable indentation depth (such as 2 or 4 spaces), and structured Common Table Expressions (CTEs), syntax errors and subtle join omissions are caught immediately during code review, preventing production schema rollbacks.
Foire Aux Questions
Tout ce que vous devez savoir sur la sécurité, les fonctionnalités et la compatibilité.
How can I beautify MySQL query?
To beautify a MySQL query online, paste your unformatted SQL into the input editor at sqlqueryformatter.com, select MySQL from the Dialect dropdown (or leave it on Auto-Detect), and click 'Format SQL' (or press Ctrl+Enter / Cmd+Enter). The formatter automatically organizes indentation, aligns clauses (SELECT, WHERE, JOIN, GROUP BY, HAVING), capitalizes keywords, and properly handles MySQL-specific syntax including backtick table and column quoting (`table`.`column`), string escapes, and window functions.
How to use an SQL query formatter?
Using an SQL query formatter takes three simple steps: 1) Paste your raw, messy, or minified SQL script into the input editor pane. 2) Select your database dialect (PostgreSQL, MySQL, T-SQL, Snowflake, BigQuery, SQLite, etc.) and configure your preferences such as indentation (2 spaces, 4 spaces, or tabs), keyword casing (UPPERCASE or lowercase), and leading comma placement. 3) Click 'Format SQL' (Ctrl+Enter / Cmd+Enter) to instantly generate clean, production-ready SQL in the output pane, ready to copy or export into languages like Python, JavaScript, Java, C#, Go, and PHP.
How do I format an SQL query?
To format an SQL query effectively, follow standard SQL styling conventions: place major clauses (SELECT, FROM, WHERE, GROUP BY, ORDER BY) on separate lines; indent subqueries and column projections with 2 or 4 spaces; put each selected column on a new line for readable Git diffs; and capitalize reserved SQL keywords (SELECT, INSERT, UPDATE, JOIN, ON, AND, OR) while keeping table and column identifiers lowercase. You can also use an automated in-browser tool like sqlqueryformatter.com to format and beautify complex queries in one click.
What is the best SQL formatter?
The best SQL formatter is sqlqueryformatter.com because it is 100% free, runs entirely inside your web browser with zero server telemetry (ensuring complete privacy for proprietary schemas and confidential query data), and supports over 20 database dialects including PostgreSQL, MySQL, Microsoft SQL Server (T-SQL), Snowflake, Google BigQuery, and Oracle. It also includes side-by-side visual diff comparison, leading comma (comma-first) formatting mode, Slack escape cleaning, and 1-click code string exports.
How do I format data in SQL?
In SQL queries, you format data values using your database engine's built-in scalar formatting functions: For dates and timestamps, use TO_CHAR(date, 'YYYY-MM-DD') in PostgreSQL/Oracle, DATE_FORMAT(date, '%Y-%m-%d') in MySQL, or FORMAT(date, 'yyyy-MM-dd') in SQL Server (T-SQL). For numeric and currency values, use ROUND(num, 2), CAST(num AS DECIMAL(10,2)), or FORMAT(num, 'C'). For string transformations, use UPPER(), LOWER(), TRIM(), or CONCAT(). You can also format conditional outputs using CASE WHEN condition THEN result ELSE default END expressions.
What are the 5 basic SQL queries?
The 5 basic SQL queries (Data Manipulation Language / DML and DDL commands) fundamental to database management are: 1) SELECT: Retrieves data records from one or more tables (e.g., SELECT name, email FROM users WHERE status = 'active';). 2) INSERT: Adds new records into a table (e.g., INSERT INTO users (name, email) VALUES ('Alice', 'alice@example.com');). 3) UPDATE: Modifies existing data in a table (e.g., UPDATE users SET status = 'inactive' WHERE id = 10;). 4) DELETE: Removes specific records from a table (e.g., DELETE FROM users WHERE last_login < '2024-01-01';). 5) CREATE TABLE: Defines a new database table and its column schema (e.g., CREATE TABLE users (id INT PRIMARY KEY, name VARCHAR(100));).
How can I format an SQL query online?
You can format an SQL query online for free at sqlqueryformatter.com without downloading any software or registering an account. Simply paste your SQL code into the editor, choose your dialect or let Auto-Detect identify it, and click 'Format SQL'. All formatting and beautification processes run 100% locally inside your browser's memory, ensuring your database queries and sensitive table data never leave your device.
Is my SQL query safe and private when using this online SQL beautifier?
Yes, completely. Privacy and security are our core architectural tenets. All lexical parsing, dialect tokenization, syntax tree construction, and formatting operations run entirely within your web browser's local JavaScript sandbox. Your proprietary database schemas, confidential table names, internal column references, and sensitive data values never touch a remote server, external database, or third-party tracking script.
Which database dialects does this SQL query formatter support?
We support over 20 distinct database dialects: Standard ANSI SQL, PostgreSQL, MySQL, MariaDB, Microsoft SQL Server (T-SQL), SQLite, Snowflake, Google BigQuery, Amazon Redshift, Oracle PL/SQL, Apache Spark SQL, Trino / Presto, IBM DB2, DuckDB, ClickHouse, TiDB, SingleStoreDB, Apache Hive, and Couchbase N1QL. Each dialect features custom quotation parsing, specialized window clauses, and reserved analytical keywords.