SQL Cleanup Tool
SQL cleanup makes a query easier to review, debug and share. Formalint formats common SELECT queries, splits major clauses, normalizes noisy spacing and keeps query snippets readable without executing or uploading them.
Open the SQL Formatter and Query Cleaner to clean a query now.
Before Cleanup
select id,name,total from orders where status='paid' order by created_at desc
After Cleanup
SELECT id, name, total
FROM orders
WHERE status = 'paid'
ORDER BY created_at DESC
What Clean SQL Helps You Spot
Readable SQL makes it easier to find missing join conditions, broad SELECT * usage, filters placed in the wrong clause, destructive statements without WHERE conditions and nested logic that deserves a clearer CTE.
SQL Cleanup Workflow
Start by formatting the query so each major clause is visible. Then check whether every JOIN has a clear ON condition, every filter belongs in WHERE or HAVING intentionally and every ORDER BY or LIMIT is part of the actual requirement. Cleanup is most useful before code review, during incident debugging and when turning a one-line query from logs into something a teammate can read.
Formalint does not execute SQL, connect to a database or validate vendor-specific syntax. That is deliberate. A browser cleanup tool should help you inspect text safely, not run queries against production data. After cleanup, review the query in your database client or application test suite.
SQL Review Checklist
Look for missing WHERE clauses on UPDATE and DELETE statements, accidental cartesian joins, SELECT * in queries that return large rows, inconsistent aliases and nested subqueries that would be clearer as a CTE. If the query was copied from logs, confirm parameter values are safe before pasting it anywhere else.
Before and After Cleanup
-- Before: difficult to review
select o.id,c.email from orders o join customers c on c.id=o.customer_id where o.status='pending' order by o.created_at desc;
-- After: structure is visible
SELECT
o.id,
c.email
FROM orders AS o
JOIN customers AS c
ON c.id = o.customer_id
WHERE o.status = 'pending'
ORDER BY o.created_at DESC;
Formatting exposes join conditions and filters, but it does not prove that a query is correct or efficient. Run EXPLAIN in the target database, use representative statistics and execute write statements inside a transaction or disposable environment before production.
Risk-focused Review Matrix
| Pattern | Risk | Review action |
|---|---|---|
UPDATE or DELETE without WHERE | Whole-table change | Stop and verify the intended row set. |
Join without an ON condition | Unexpected cartesian product | Confirm the relationship and expected cardinality. |
SELECT * | Unstable contract and excess I/O | Select only columns the caller uses. |
| String-built user input | SQL injection | Use parameterized queries in application code. |
Formalint processes the pasted query in the browser and does not connect to a database. Remove customer data, credentials and production literals before sharing any formatted result.
Frequently Asked SQL Cleanup Questions
Does formatting improve performance? Formatting alone does not change database performance. It makes logic easier to review, which can help you find the real performance issue.
Can Formalint validate PostgreSQL, MySQL or SQL Server syntax? It keeps common SQL readable and flags simple risks, but dialect-specific validation still belongs in the target database or a dialect-aware linter.
Related Formalint Pages
Use the SQL Formatter for the live cleanup tool, the SQL Formatting Guide for style notes, the PostgreSQL DBA Checklist for operational review, and CSV to JSON when results need to become sample data.
Check which query you are copying
After a failed Format, Compact or Check action, the SQL tool returns the current input unchanged. It does not leave the previous successful query as the copy or download result. Read the error first, fix the source and run the check again. Basic checks are not dialect validation; compare quoted literals and comments with the original because the current formatter applies text-based rules.