Free SQL Minifier – Compress SQL Queries Online
Minify SQL queries by removing comments, whitespace, and formatting. Reduce query size for storage and transmission. See compression statistics in real-time. Free, fast, and browser-based.
What Is SQL Minification?
SQL minification compresses SQL code by removing unnecessary characters while preserving functionality. This includes stripping comments, reducing whitespace, and condensing queries into compact single-line statements.
Why Minify SQL?
Reduced Storage: Minified SQL takes less space in databases, logs, and version control.
Faster Transmission: Smaller queries transmit faster over networks and APIs.
Obfuscation: Removing comments and formatting provides basic obfuscation.
Log Efficiency: Single-line queries are easier to grep and process in logs.
How to Use This Tool
Step 1: Paste Your SQL
Enter formatted SQL with comments and whitespace.
Step 2: View Compression Stats
See exactly how much space you've saved.
Step 3: Copy or Download
Get your minified SQL for use.
What Gets Removed
| Element | Example | Status |
|---|---|---|
| Single-line comments | -- This is a comment | Removed |
| Multi-line comments | /* Block comment */ | Removed |
| Extra whitespace | Multiple spaces/tabs | Single space |
| Line breaks | Newlines | Removed |
| Indentation | Leading spaces | Removed |
What's Preserved
| Element | Description |
|---|---|
| SQL keywords | SELECT, FROM, WHERE, etc. |
| Table/column names | All identifiers |
| String literals | 'values in quotes' |
| Operators | =, <>, >=, etc. |
| Numeric values | Numbers and decimals |
| Query logic | Full functionality |
Minification Examples
SELECT Query
Before (467 bytes):
-- Get active users with order totals
SELECT
u.id,
u.first_name,
u.last_name,
u.email,
COUNT(o.id) AS order_count,
SUM(o.total) AS total_spent
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.status = 'active'
GROUP BY u.id
ORDER BY total_spent DESC
LIMIT 100;
After (215 bytes):
SELECT u.id,u.first_name,u.last_name,u.email,COUNT(o.id)AS order_count,SUM(o.total)AS total_spent FROM users u LEFT JOIN orders o ON u.id=o.user_id WHERE u.status='active' GROUP BY u.id ORDER BY total_spent DESC LIMIT 100;
Savings: 54% reduction
INSERT Statement
Before:
/* Insert new user record */
INSERT INTO users (
first_name,
last_name,
email,
password_hash,
created_at
) VALUES (
'John',
'Doe',
'[email protected]',
'hash123',
NOW()
);
After:
INSERT INTO users(first_name,last_name,email,password_hash,created_at)VALUES('John','Doe','[email protected]','hash123',NOW());
When to Minify SQL
Good Use Cases
Logging: Store compact queries in application logs for analysis.
API Responses: Return smaller payloads when exposing queries.
Caching: Reduce cache storage requirements.
Dynamic Query Building: Generated SQL often benefits from minification.
When to Avoid
Development: Keep formatted SQL during development for readability.
Version Control: Store formatted SQL for better diffs and code review.
Documentation: Documentation needs readable, commented SQL.
Debugging: Formatted queries are easier to debug.
SQL Minification vs Formatting
| Aspect | Minification | Formatting |
|---|---|---|
| Goal | Reduce size | Improve readability |
| Comments | Removed | Preserved |
| Whitespace | Minimal | Structured |
| Output | Single line | Multiple lines |
| Use case | Production | Development |
Frequently Asked Questions
Does minification affect query performance?
No. The database parses and executes identically. Only human readability changes.
Are string values preserved?
Yes. Content inside quotes is never modified.
Can I minify stored procedures?
Yes, though complex procedures may be harder to maintain when minified.
Is this safe for production?
Yes. Minification doesn't change query logic or results.
What SQL dialects are supported?
Standard SQL syntax works. ANSI SQL, MySQL, PostgreSQL, SQL Server, and Oracle queries minify correctly.
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Paste your SQL above to minify. See compression stats and download your optimized query.