SQL VALIDATOR
Catch unbalanced parentheses, out-of-order clauses, trailing commas, and missing JOIN conditions before you run a query.
No common syntax issues found
This is a heuristic linter, not a full SQL parser — it catches common mistakes (unbalanced parentheses and quotes, out-of-order clauses, trailing commas, missing JOIN conditions) across most SQL dialects, but it doesn't validate table/column names or dialect-specific syntax.
How to validate a SQL query
- 1
Paste your SQL query.
- 2
The linter checks for unbalanced parentheses and quotes, out-of-order clauses, trailing commas, and JOINs missing an ON/USING condition.
- 3
Fix each flagged issue — errors are likely to break the query, warnings are worth a second look but may be intentional.
Questions
- Does this check whether my tables and columns actually exist?
- No — that requires a real database connection and schema, which is outside what a client-side tool can safely do. This checks the query's structure and syntax: balanced punctuation, clause order, and common shape mistakes that apply regardless of your actual schema.
- Does it work for MySQL, PostgreSQL, and SQL Server alike?
- Yes, for the checks it runs — parenthesis/quote balance, clause ordering (SELECT → FROM → WHERE → GROUP BY → HAVING → ORDER BY → LIMIT), and JOIN conditions are shared conventions across virtually every SQL dialect. It doesn't flag dialect-specific syntax errors, since what's valid varies between engines.
- Why did it flag my JOIN when I'm sure it's correct?
- A CROSS JOIN or NATURAL JOIN intentionally has no ON/USING clause, and this checker already accounts for those. If a plain JOIN, LEFT JOIN, or INNER JOIN is flagged, double-check that the ON or USING condition didn't get lost — it's one of the most common causes of an accidental cross-product in production queries.
- Why does it ignore things inside string literals and comments?
- A parenthesis, quote, or keyword inside a string literal ('SELECT this') or a comment (-- FROM here) isn't part of the query's actual structure, so counting it would produce false positives. The checker strips string and comment content before analyzing structure, the same way a real SQL parser would.