🗃️ SQL Formatter & Beautifier

Format and beautify SQL queries online. Supports MySQL, PostgreSQL, SQL Server, SQLite. Keyword casing, indent size, and minify mode.

How to Use

1

Paste your SQL

Paste or type your SQL query into the left panel. Single queries, multi-statement scripts, and subqueries are all supported.

2

Choose options

Select the SQL dialect (MySQL, PostgreSQL, SQL Server, or SQLite), indent size, and keyword casing (UPPER or lower).

3

Format and copy

Click Format (or Ctrl+Enter) to beautify the query. Use Minify to compress it. Click Copy to use the result in your project.

Frequently Asked Questions

Does this SQL formatter support stored procedures? +
The formatter handles standard SQL including SELECT, INSERT, UPDATE, DELETE, CREATE TABLE, and JOIN queries. Complex stored procedure syntax with BEGIN/END blocks, IF/ELSE, and DECLARE statements is formatted as best-effort.
What is the difference between beautify and minify? +
Beautify adds line breaks, consistent indentation, and keyword casing for human readability. Minify removes all extra whitespace to produce the smallest possible query string — useful for embedding in code or measuring query length.
Should SQL keywords be uppercase or lowercase? +
Both styles are equally valid — SQL is case-insensitive. The convention of UPPERCASE keywords (SELECT, FROM, WHERE) is traditional and widespread because it visually separates reserved words from table/column names. Many style guides (like Google SQL Style Guide) prefer lowercase for everything.
Does formatting change how the query runs? +
No. Formatting only affects whitespace and keyword case — it has no effect on query execution, performance, or results. The SQL engine ignores whitespace.
Is my SQL query sent to a server? +
No. All formatting runs entirely in your browser using JavaScript. Your SQL code never leaves your device.


完整指南:SQL格式化工具

为什么要格式化SQL?

ORM生成或API传输的SQL通常是单行不可读的文本。格式化工具应用一致的缩进、关键词大写和列对齐,使代码审查、调试和文档编写变得容易。

如何使用

  1. 粘贴SQL查询到输入区。
  2. 选择方言:MySQL、PostgreSQL、SQLite、MSSQL。
  3. 格式化并复制结果。

专业技巧

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