SQL Script

Code reviews / Updated May 21, 2026

How formatted SQL improves code reviews

SQL in code reviews is often responsible for user-facing behavior, billing reports, permissions, analytics, migrations, and operational dashboards. Reviewers need to understand both the query result and the risk of the change. Formatting gives them a cleaner path to that understanding.

Readable SQL reduces review noise

When a query is consistently formatted, reviewers can spend less time mentally parsing the text and more time checking logic. That matters when a pull request mixes application code with database queries. 

SELECT
  accounts.id,
  accounts.name,
  COUNT(events.id) AS active_events
FROM accounts
LEFT JOIN events
  ON events.account_id = accounts.id
  AND events.created_at >= CURRENT_DATE - INTERVAL '7 days'
WHERE accounts.status = 'active'
GROUP BY
  accounts.id,
  accounts.name;

What reviewers can spot faster

  • Missing join predicates that could multiply rows.
  • Filters that should be in the join condition instead of the WHERE clause.
  • Aggregations that do not match the GROUP BY list.
  • ORDER BY and LIMIT choices that affect pagination or reports.
  • Potentially expensive patterns such as leading wildcard searches.

Use formatting to make diffs smaller

A consistent beautifier reduces accidental style churn. If every developer runs the same tool before opening a pull request, the diff is more likely to show meaningful query changes.

Review SQL as production behavior

Formatting is the first pass, not the final review. Once a query is readable, teams should still check indexes, row estimates, data cardinality, permissions, and how null values affect results.

Team practice: ask contributors to format SQL snippets before review, especially for migrations, background jobs, data exports, and analytics queries.

A practical pre-review checklist

  1. Beautify the query with the dialect that matches the target database.
  2. Use stable keyword casing and indentation.
  3. Check that each join has an intentional predicate.
  4. Verify filters, grouping, and sort order against the product requirement.
  5. Paste the readable query into the pull request when it helps reviewers.

SQL Script is designed for that workflow: beautify SQL, add auto-comments, or optimize structure locally in the browser, then copy the result into your review.