SQL Formatter
Format any SQL query into clean, readable, indented output instantly
SELECT u.id, u.email, count(o.id) AS orders FROM users u LEFT JOIN orders o ON o.user_id = u.id WHERE u.active = 1 GROUP BY u.id ORDER BY orders DESC LIMIT 10;
Paste any SQL query — no matter how compressed or messy — and get back clean, properly indented SQL with highlighted keywords. Supports all major dialects: MySQL, PostgreSQL, SQLite, MS SQL Server, and BigQuery.
Why Format SQL?
Raw SQL from query builders, ORMs, or database exports is often unreadable. Formatted SQL:
- Makes logic errors easier to spot
- Speeds up code review
- Documents complex queries for future maintainers
- Helps debug slow queries by making JOINs and subqueries visible
What Good SQL Formatting Looks Like
-- Unformatted
SELECT u.id, u.name, o.total FROM users u LEFT JOIN orders o ON u.id = o.user_id WHERE o.total > 100 ORDER BY o.total DESC;
-- Formatted
SELECT
u.id,
u.name,
o.total
FROM users u
LEFT JOIN orders o
ON u.id = o.user_id
WHERE o.total > 100
ORDER BY o.total DESC;SQL in Automation
SQL is used directly in automation workflows:
- Make/Zapier — database modules use raw SQL
- n8n — Postgres, MySQL nodes accept SQL queries
- Python scripts — SQLAlchemy, psycopg2
- Reporting tools — Metabase, Redash, Superset all use SQL
Building Database-Driven Automations
If your automation workflows need to read or write to a database, proper SQL is essential for performance and security. Always use parameterised queries to prevent SQL injection. Python + FastAPI Webhook Automation covers a real example of this pattern in a backend. Book a consultation if you're building a data pipeline or automation that involves a database.
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