SQL Minifier

The SQL Minifier tool compresses your SQL code by removing unnecessary whitespace, comments, and indentation. This reduces file size and can improve query parsing performance in some environments. Whether you are preparing SQL for production deployment, embedding queries in application code, or optimizing database scripts, this tool provides instant minification right in your browser.

What Is SQL Minification?

SQL minification is the process of reducing the size of SQL code by removing all non-essential characters such as extra spaces, tabs, newlines, and comments. The resulting code remains functionally identical but is more compact. This is particularly useful when you need to store SQL queries in configuration files, embed them in application code, or reduce bandwidth when transferring SQL scripts.

How to Use the SQL Minifier

1. Paste or type your SQL code in the input editor on the left side. You can also upload a SQL file using the file upload button or load sample code to get started.
2. Click the Minify button to compress your SQL code.
3. Copy the minified output from the right panel or download it as a file.

What Gets Minified

• Extra Whitespace: Multiple spaces, tabs, and newlines are reduced to single spaces.
• Comments: Both single-line (--) and multi-line (/* */) comments are removed.
• Unnecessary Formatting: Indentation and alignment characters are stripped while preserving SQL syntax.

What Is Preserved

• SQL Keywords: All SQL keywords, identifiers, and string values remain intact.
• String Literals: Content within string literals (single quotes) is preserved exactly.
• SQL Logic: The minified code executes identically to the original.

Example

Before minification:

SELECT
    u.id,
    u.name,
    COUNT(o.id) AS order_count
FROM
    users u
    LEFT JOIN orders o ON u.id = o.user_id
WHERE
    u.status = 'active'
GROUP BY
    u.id,
    u.name;

After minification:

SELECT u.id,u.name,COUNT(o.id) AS order_count FROM users u LEFT JOIN orders o ON u.id=o.user_id WHERE u.status='active' GROUP BY u.id,u.name;