SQL Format Tool

Configurable SQL formatting tool with custom rules for indentation, keyword casing, and clause alignment. Create reusable formatting profiles for different projects, databases, or team standards—save time with automated SQL code cleanup.

Why Use SQL Format Tool

Different projects require different SQL formatting standards: financial systems mandate UPPERCASE keywords for auditing, startups prefer lowercase for modern code aesthetics, analytics teams need specific indentation for query readability. A configurable SQL format tool lets you save formatting profiles (2-space vs 4-space indent, UPPERCASE vs lowercase keywords, comma placement) and apply them consistently across projects. Essential for consultants working with multiple clients, platform teams supporting different database standards, or organizations migrating between SQL style guides without manual reformatting.

Custom formatting profiles: Save different styles for different projects
Configurable rules: Control every aspect of SQL formatting
Batch processing: Apply same profile to multiple SQL files
Profile export/import: Share formatting rules across team
CLI integration: Use in build scripts and automation

Configure Formatter →

Choose the Right Variant

This page: Configurable SQL formatting with custom profiles
SQL Formatter Online: Quick basic formatting
SQL Formatting: Team formatting standards
MySQL Formatter: MySQL-specific formatting

Step-by-Step Tutorial

Create formatting profile: "Production" (UPPERCASE, 2-space, trailing commas)
Example query: select count(*) from orders where status='pending'
Apply "Production" profile
Output: SELECT\n COUNT(*)\nFROM orders\nWHERE status = 'pending'
Create second profile: "Development" (lowercase, 4-space)
Switch profiles instantly for different projects
Export profiles as JSON for team sharing

Real-World Use Case

A database consultant works with 5 clients using different SQL standards: Client A requires UPPERCASE keywords for SOC2 compliance audits, Client B uses lowercase to match Python code style, Client C needs 4-space indents for mainframe compatibility. Instead of manually reformatting SQL for each client, they create 5 formatting profiles in the SQL format tool. Each profile captures client-specific requirements (keyword casing, indent width, comma placement, line length). When working on Client A's project, they select the "ClientA_Production" profile and batch-format all stored procedures. Switching to Client B, they select "ClientB_Modern" profile. This eliminates 4 hours per week of manual reformatting and ensures 100% compliance with each client's standards.

Best Practices

Create separate profiles for production vs development environments
Export profiles as JSON files for version control
Test profiles with edge cases (nested subqueries, complex CTEs) before rollout
Document profile purpose and use cases in profile names
Share profiles via .sqlformat config files in project repositories
Use CLI mode for CI/CD integration and pre-commit hooks

Performance & Limits

Profile storage: Save unlimited custom formatting profiles
Batch processing: Format 100+ SQL files in single run
Configuration options: 30+ formatting rules configurable per profile
Speed: Typical project (50 SQL files) formats in under 5 seconds

Common Mistakes to Avoid

Too many profiles: Limit to 3-5 profiles per organization for consistency
Not versioning profiles: Track profile changes in git alongside SQL
Skipping profile testing: Test on representative queries before batch processing
Inconsistent naming: Use descriptive profile names like "Prod_MySQL" not "Profile1"
Not documenting profiles: Add README explaining when to use each profile

Privacy and Data Handling

SQL formatting and profile storage happen locally. Profiles contain only formatting rules (indent size, casing), not SQL content. When sharing profiles with team, review that no proprietary business logic or schema details are embedded in example queries within profile configurations.

Frequently Asked Questions

How do I share SQL formatting profiles with my team?

Export profiles as JSON or YAML config files (.sqlformat, .prettierrc) and commit to project repository. Team members import the same profile file, ensuring identical formatting across all developers. Most SQL format tools support config file auto-detection—place .sqlformat in project root and tool auto-applies those rules. For organizations with multiple projects, create shared profile repository with profiles like "MySQL_Production", "PostgreSQL_Analytics", "SQLServer_Legacy". Teams reference this central repository. CI pipelines validate commits match profile rules before merge.

What configuration options should I include in a formatting profile?

Essential profile settings: (1) Keyword casing (UPPERCASE/lowercase/Title), (2) Indentation (2-space/4-space/tabs), (3) Comma placement (leading/trailing), (4) Line length limit (80/120/unlimited), (5) Clause alignment (left/right aligned), (6) Function name casing, (7) Reserved word list (database-specific keywords). Advanced options: parentheses spacing, operator spacing (= vs=), newlines around JOIN conditions, CTE indentation depth. Start with basic 7 settings, add advanced options as team needs evolve. Most teams find 10-15 settings sufficient for production use.

Can I create database-specific formatting profiles?

Yes, create separate profiles for MySQL (preserves backticks, formats MySQL functions), PostgreSQL (handles double quotes, JSONB operators), SQL Server (square brackets, T-SQL syntax), Oracle (PL/SQL blocks, DUAL table). Database-specific profiles prevent formatters from breaking vendor syntax. For example, MySQL profile preserves `table_name` backticks while PostgreSQL profile uses "table_name" double quotes. If working with multiple databases, create profile per database type to ensure correct identifier quoting and function formatting.

How do SQL format tools integrate with build pipelines?

Most SQL format tools offer CLI (command-line interface) for CI/CD integration. Add formatting check to pipeline: sql-format --check --profile=production *.sql fails build if SQL doesn't match profile. For auto-fix, use sql-format --write --profile=production *.sql to reformat files. Common integrations: (1) Pre-commit hooks run formatter before git commit, (2) Pull request CI checks validate formatting, (3) Deployment pipeline formats SQL before applying migrations. Many teams use husky + SQLFluff or prettier-plugin-sql for automated enforcement.