SQL Validator

A fast SQL syntax validator for developers, DBAs, and analysts to ensure queries are correct before execution.

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3,372+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

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About This Tool

The SQL Validator analyzes input SQL statements, checks syntax against a permissive grammar, and flags syntax errors, misplaced clauses, and reserved word conflicts. It operates entirely locally without needing a database connection.
Conceptually, the tool tokenizes input, builds a parse tree according to the chosen dialect, and reports errors with precise location information. It can suggest fixes like adding missing keywords or correcting clause order, and it supports ANSI SQL plus PostgreSQL, MySQL, and T-SQL variations.
Target users include developers, database administrators, data engineers, and QA engineers who want fast, repeatable checks in editors, CI pipelines, or code reviews. Unique value lies in real-time, dialect-aware validation, structured error data, and ready-to-export results suitable for automation.

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How to Use

Provide input SQL text in the editor or field.
Select the appropriate SQL dialect (ANSI by default).
Run validation to obtain syntax results.
Review errors with line/column details and suggestions.
Export results for CI pipelines or integrate into pre-commit checks.

Frequently Asked Questions

Find Quick Answers

Which SQL dialects are supported?

The validator uses ANSI SQL as the baseline and recognizes PostgreSQL, MySQL, and T-SQL variants. If a dialect-specific construct is detected, errors or warnings are reported with context. It does not execute queries or verify runtime semantics.

Does it execute queries or connect to a database?

No. The tool performs static parsing and syntax checks only. It does not connect to any database, run queries, or validate schemas, data types, or permissions.

Can results be integrated into CI workflows?

Yes. The tool provides structured error data and can export results as JSON or plain text, enabling automation, reporting, and integration with build pipelines and pre-commit hooks.

What formats can I export?

Export options include JSON and plain text summaries of syntax results, including error details and suggested fixes, suitable for enrichment in code reviews or automated tooling.

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