Make SQL Readable with Dialect-Aware 格式化ting
SQL queries from ORMs, query builders, or 生成d code are often crammed into single lines or 格式化ted inconsistently. Trying to review SELECT * FROM users WHERE id = 1 AND status = 'active' AND 创建d_at > '2024-01-01' ORDER BY name is painful. Properly 格式化ted SQL with appropriate line breaks and indentation is drastically easier to read and debug:
SELECT *
FROM users
WHERE
id = 1
AND status = 'active'
AND 创建d_at > '2024-01-01'
ORDER BY name
This SQL 格式化ter handles the 转换ation automatically, respecting your specific SQL dialect and style preferences.
Multi-Dialect Support
SQL syntax varies by database. This 格式化ter supports:
- Standard SQL: Generic, works with most databases
- PostgreSQL: With PostgreSQL-specific syntax
- MySQL & MariaDB: MySQL/MariaDB variants
- SQLite: SQLite dialect
- T-SQL: Microsoft SQL Server
- BigQuery: Google BigQuery SQL
- Hive & Spark: Data warehouse engines
- TiDB: Distributed SQL database
Select your database, and the 格式化ter respects dialect-specific keywords and syntax.
Customizable Style Options
Keyword Case: Choose how SQL keywords are 格式化ted:
- UPPERCASE:
SELECT * FROM - lowercase:
select * from - Preserve: Keep keywords as-is in the input
Indentation Size: 2 spaces (compact) or 4 spaces (readable), matching your team's SQL style guide.
Comma Position: Decide where commas appear in SELECT lists and WHERE clauses:
- Before: Place commas at the start of each new line
- After: Place commas at the end of each line (traditional)
Common SQL Development Workflows
Code Review: Before reviewing 生成d or ORM-produced SQL, 格式化 it for readability. It's much easier to spot errors or optimization opportunities in 格式化ted output.
Query Debugging: When a complex query isn't returning expected results, 格式化 it to understand the structure, identify logical issues, and verify WHERE clauses and joins.
Documentation & Examples: 格式化 SQL queries before including them in documentation, README files, or tutorials. Well-格式化ted examples are easier for others to understand and modify.
Style Consistency: Enforce consistent SQL 格式化ting across your team by using this tool as a 格式化ter before committing queries to version control.
Performance Analysis: When investigating slow queries, 格式化 them first. Well-structured SQL is easier to analyze for missing indexes, unnecessary joins, or inefficient subqueries.
SQL Migration & Refactoring: When moving queries between systems or refactoring large SQL files, 格式化 them to ensure consistency and catch issues during transition.
One-Click Copy or 下载
格式化ted SQL copies to your 剪贴板 with one click or 下载s as a .sql file. Use it directly in your codebase, database client, or documentation.
Respects String Literals
The 格式化ter is intelligent about string content—it won't break or re格式化 text inside quoted strings, ensuring your SQL data remains intact and correct.
100% 浏览器-Based 格式化ting
格式化ting happens entirely in your 浏览器 using the proven sql-格式化ter library. Your queries never leave your machine, so you can safely 格式化 queries containing sensitive data or proprietary business logic.
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