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SQL Formatter

Format any SQL query into clean, readable, indented output instantly

Muhammad Bilal
Muhammad Bilal Virk
1 min read
Live tool
Formatted SQL
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

sql
-- 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.

Muhammad Bilal
Muhammad Bilal Virk
AI automation engineer — building agents, workflows, and RPA that remove repetitive work.
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