SQL Syntax Checker

This tool supports multiple SQL dialects including:

• MySQL
• MariaDB
• PostgreSQL
• SQLite
• BigQuery
• Hive
• Transact-SQL (SQL Server)
• Redshift
• DB2
• Snowflake

The validation rules adjust based on the dialect you select from the dropdown menu.

Yes, your SQL queries are completely secure. All syntax validation happens entirely in your browser. No data is sent to our servers or stored anywhere. This is a client-side tool that runs exclusively in your browser's JavaScript engine.

This tool can detect SQL syntax errors such as:

• Missing keywords or clauses
• Incorrect JOIN syntax
• Missing commas between columns
• Unmatched parentheses
• Incorrect statement termination
• Invalid SQL keywords for the selected dialect

It's important to note that this tool checks syntax only, not semantics. It can't verify if table or column names exist in your actual database, or if your query will produce the expected results.

An Abstract Syntax Tree (AST) is a structured representation of your SQL query that shows how the parser understands your code. When you write a valid SQL query, it gets parsed into this tree structure that shows the relationships between different parts of your query.

The AST can be helpful for advanced users who want to understand how their query is interpreted by the database engine. It breaks down your query into its component parts (SELECT statements, WHERE clauses, JOIN conditions, etc.) in a hierarchical format.

This web-based tool requires an internet connection to load initially. For offline SQL validation, consider using Beekeeper Studio, our desktop application that includes built-in SQL validation and works completely offline.

There could be several reasons:

• You might be using non-standard SQL extensions specific to your database that aren't recognized by the parser
• You might have selected a different SQL dialect than the one your database uses
• Some databases are more lenient with syntax than standard SQL specifications
• The query might use database-specific functions or features not supported by the parser

If you're sure your query is valid for your specific database, try selecting the closest matching dialect or modifying your query to use more standard SQL syntax.