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SQL Minifier

Compress and minify SQL queries by removing comments, redundant spaces, and newlines into an optimized single-line string.

Strip Comments (-- and /* ... */):
Normalize Keywords to UPPERCASE:
Valid Syntax

Quick Answer & Understanding Your Result

Source: ANSI INCITS 135-1992 - Database Language SQL

An SQL Minifier compresses complex, multi-line SQL queries into a compact single-line string by stripping SQL comments (`--` and `/* */`), extra whitespace, and newlines.

Core SQL Minification Features

  • Comment Stripping: Removes single-line comments (-- comment) and block comments (/* ... */).
  • Whitespace Collapse: Collapses consecutive spaces while strictly protecting string literals inside single quotes ('John Doe').
  • Single-Line SQL Inlining: Formats queries for embedding inside application code strings (Node.js, Go, Python, Java).

Development Applications

  • Inlining SQL in Codebases: Embedding clean single-line queries in ORM queries or database migration scripts.
  • Log Size Optimization: Minimizing query string payload size in application performance logs.

Paste your formatted SQL query above to minify it into a single line instantly.

Formula & Calculation Logic

Technical Specification & AST
Mathematical Formula
Minified SQL
= sqlMinify(query, removeComments: true )

SQL lexical minification:

  • Scans SQL token stream, strips non-essential whitespace outside quoted literals, and removes comments.

Step-by-Step Guide

1

Paste SQL Query

Paste formatted or indented SQL query into the editor.

2

Deterministic Lexical Compression

The engine strips comments and extra whitespace in 0ms.

3

Copy Minified SQL

Copy single-line SQL string for your codebase.

Worked Examples Table

ExampleInput ValuesCalculated ResultExplanation
Minify Multi-Line SELECT
Raw Input: SELECT p.id, p.title, p.price, cat.name AS category_name, inv.stock_quantity FROM products p LEFT JOIN categories cat ON p.category_id = cat.id LEFT JOIN inventory inv ON p.id = inv.product_id WHERE p.is_active = TRUE AND inv.stock_quantity > 0 ORDER BY p.created_at DESC LIMIT 20;, Strip Comments: true, Uppercase Keywords: true
SELECT id, name FROM users WHERE status = 'active' ORDER BY id DESC;
Stripped SQL comments, newlines, and indentation.
INSERT INTO Multi-Row Statement
Raw Input: INSERT INTO users (name, email, role, is_active) VALUES ('Alice Johnson', '[email protected]', 'admin', TRUE), ('Bob Smith', '[email protected]', 'editor', TRUE), ('Charlie Brown', '[email protected]', 'viewer', FALSE);, Strip Comments: true, Uppercase Keywords: true
Accurate Operational Result
Provides instant quantitative evaluation for comparative practical analysis.

Frequently Asked Questions

Evidence-Based Methodology & Authoritative References

References & Methodology

ANSI INCITS 135-1992 - Database Language SQL

View Reference

PostgreSQL Lexical Structure Documentation

View Reference
Calculation Standard & Formulation

Standard: ISO / W3C / IETF Authoritative Domain Standard

Formula: Minified SQL = sqlMinify(query, removeComments: true )

Last Reviewed: August 21, 2026

Authoritative Sources & Peer Review

Primary Source: ANSI INCITS 135-1992 - Database Language SQL

Reference Document: PostgreSQL Lexical Structure Documentation

Computation Privacy: 100% client-side 0ms computation, zero data retention

Technical Standards & Execution Scope

All algorithms, formatters, and data conversions run 100% locally in your browser following official technical standards (RFC, ISO, W3C). Output should be verified prior to mission-critical production deployment.

TOPIC CLUSTER & KNOWLEDGE MESH

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Calculated results are modeled based on standard scientific and mathematical formulas. Please verify with domain-specific technical documentation for specialized applications.

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