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    SQL Query Formatter with Validation

    Format SQL queries with keyword count statistics. Free browser tool.

    Quick Answer

    Paste a SQL query to format it with proper indentation and see line count and keyword statistics.

    How to Use the SQL Query Formatter with Validation

    1. Use the input area to provide your data.
    2. The tool processes it instantly in your browser.
    3. Copy or download the result.

    SQL Query Formatter · JSON Formatter · JSON Validator

    Frequently Asked Questions

    What validation is performed?
    The tool uses JSON.parse() which follows RFC 8259 strictly. It catches missing commas, unmatched brackets, invalid escape sequences, trailing commas, and single quotes.

    About This Tool

    This SQL Query Formatter with Validation combines processing with automatic syntax validation, ensuring your SQL data is structurally correct before transformation. When you paste data and click the action button, the tool first attempts to parse the input according to the strict specification. If the data contains syntax errors — missing commas, unmatched brackets, invalid escape sequences, or other structural issues — the tool reports the specific error rather than producing corrupted output. This validation-first approach prevents a common development workflow problem: processing invalid data and then spending time debugging the output rather than the input. In production environments, validating data before processing is a best practice that prevents cascading errors, data corruption, and difficult-to-diagnose bugs.

    What is SQL Query Formatter?

    A SQL query formatter formats complex SQL statements and provides statistics about the query including line count and keyword count. These metrics help you assess query complexity — queries with many keywords and joins tend to be more complex and may benefit from refactoring into CTEs or subqueries. The formatter handles multi-table joins, subqueries, aggregate functions, GROUP BY/HAVING clauses, and ORDER BY with proper indentation at each nesting level. The statistics output helps teams identify queries that may need simplification, documentation, or performance optimization.

    How to Use This Tool

    1. Paste your SQL query.
    2. Click Format Query.
    3. View formatted output with statistics.
    4. Use metrics to assess query complexity.

    Common Use Cases

    • Ensuring JSON is valid before sending API requests
    • Validating configuration files before deployment
    • Catching syntax errors early in the development process
    • Verifying data integrity after transformation

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