Click "Validate" to check your SQL
What is MySQL Syntax Checker & SQL Validator?
SQL (Structured Query Language) is the standard language for managing relational databases, but writing correct SQL by hand is error-prone — unclosed strings, mismatched parentheses, and missing keywords can all cause runtime failures with unhelpful error messages. This validator performs static analysis of your SQL queries to detect common syntax errors before you run them against a database. It checks for unclosed strings, mismatched parentheses, missing keywords (FROM in SELECT, VALUES in INSERT, SET in UPDATE), invalid statement structure, duplicate column aliases, column count mismatches in INSERT statements, and dialect-specific reserved word conflicts for MySQL, PostgreSQL, and SQLite. It also warns about potentially dangerous operations like UPDATE or DELETE without WHERE clauses.
How to Use
- Select your SQL dialect (MySQL, PostgreSQL, or SQLite) using the buttons in the top-right corner.
- Paste your SQL queries in the input area — you can validate multiple statements at once.
- Click 'Validate' to run the syntax checker.
- Review the results: errors are shown in red with line numbers, warnings in amber.
- Fix the reported issues and re-validate until your SQL passes all checks.
Why Use This Tool?
Tips & Best Practices
- The validator checks syntax structure but cannot verify table or column names — those require a live database connection or schema knowledge.
- Use the dialect selector to get accurate reserved word warnings for your target database — a word reserved in MySQL may be fine in PostgreSQL.
- Statements without semicolons generate warnings — semicolons are optional in many clients but recommended for clarity and batch execution.
- UPDATE and DELETE without WHERE clauses generate warnings to help prevent accidental data loss — always double-check before running these.
Frequently Asked Questions
What SQL dialects are supported?
The validator supports MySQL, PostgreSQL, and SQLite. Each dialect has its own set of reserved words and syntax rules. Select the appropriate dialect before validating your query to get accurate results, especially for reserved word conflicts.
When should I NOT use this SQL validator?
This validator performs static syntax analysis only. It cannot: verify that table or column names exist in your database; check data types or constraint violations; validate stored procedures, triggers, or functions; or detect logical errors in your queries (e.g., wrong JOIN condition). For those, use your database's built-in query planner or a database IDE with schema awareness.
What types of errors does the validator detect?
The validator checks for unclosed strings, unclosed parentheses, missing keywords (like FROM in SELECT, VALUES in INSERT, SET in UPDATE), invalid statement structure, duplicate column aliases, column count mismatches in INSERT, and dialect-specific reserved word conflicts. It also warns about missing semicolons and dangerous operations without WHERE clauses.
Does the validator execute the SQL?
No. The validator only checks syntax structure — it does not execute the SQL or connect to any database. It performs static analysis of the query text to find potential syntax errors before you run the query against a real database.
How accurate is the validation?
The validator performs structural and lexical analysis, which catches most common syntax errors. However, it cannot validate table names, column names, or data types — those require a live database connection. Complex nested queries and stored procedures may have limited validation coverage.
Is my SQL data secure?
Yes. All validation happens entirely in your browser. Your SQL queries are never sent to any server, stored, or transmitted. You can safely validate queries containing sensitive table names or business logic.
Real-world Examples
Catching an unclosed string in an INSERT
A missing closing quote in a VALUES clause is one of the most common SQL errors — this validator catches it with a precise line number.
INSERT INTO products (name, price, category)
VALUES ('Laptop', 999.99, 'electronics);Line 2: Unclosed string — missing closing single quote (')Warning about a dangerous UPDATE
An UPDATE without a WHERE clause would modify every row in the table — the validator warns about this before you run it.
UPDATE users SET last_login = NOW();
Line 1: [WARNING] UPDATE statement without WHERE clause will affect all rows