SQL फ़ॉर्मेटर
SQL क्वेरीज़ को फ़ॉर्मेट और सुंदर बनाएँ।
Readable SQL = Maintainable Database
अवलोकन
SQL queries become hard to read fast — a 5-table JOIN with subqueries and a CASE statement can stretch across 100+ characters per line, making bugs nearly invisible. A formatter normalizes whitespace, line breaks, and indentation so SELECT/FROM/WHERE clauses align consistently. Teams that adopt SQL formatting see fewer code-review mistakes, faster onboarding for junior devs, and easier query maintenance. This tool supports Standard SQL, PostgreSQL, MySQL, and BigQuery dialects — switch between them to handle dialect-specific keywords correctly.
कैसे उपयोग करें (चरण-दर-चरण)
- 1
Paste your SQL query
From any source: a one-line ORM dump, a stack-trace fragment, a legacy stored procedure. Whitespace and line breaks don't matter — the parser sorts it out.
- 2
Pick your dialect
Standard SQL covers most cases. Switch to PostgreSQL, MySQL, or BigQuery if you use dialect-specific syntax like JSON operators or backticks.
- 3
Copy the formatted output
The result has consistent indentation and uppercase keywords. Paste straight into your PR, ticket, or docs without further cleanup.
यह कैसे काम करता है
The formatter parses your SQL into an abstract syntax tree, then prints it back with consistent spacing, line breaks at clause boundaries, and your chosen indent (2 or 4 spaces). Keywords can be normalized to UPPERCASE for clarity. The Minify button does the opposite — strips formatting to produce a single-line query for use in code strings. Everything runs in your browser; your SQL never leaves your device.
कब उपयोगी है
Before pasting into pull requests so reviewers see clean queries. When inheriting legacy stored procedures that grew organically. When extracting SQL from ORM logs or stack traces. When teaching SQL — formatted queries highlight clause structure. When generating SQL programmatically and you need a human-readable check.
अक्सर पूछे जाने वाले प्रश्न
Choose the database you're targeting. Standard SQL works for most queries but won't handle PostgreSQL JSON operators (->) or MySQL backticks. BigQuery and PostgreSQL have unique syntax for ARRAY/STRUCT types.
अनुशंसित टूल्स
चुने हुए उपयोगी टूल्स
Readable SQL = Maintainable Database
अवलोकन
SQL queries become hard to read fast — a 5-table JOIN with subqueries and a CASE statement can stretch across 100+ characters per line, making bugs nearly invisible. A formatter normalizes whitespace, line breaks, and indentation so SELECT/FROM/WHERE clauses align consistently. Teams that adopt SQL formatting see fewer code-review mistakes, faster onboarding for junior devs, and easier query maintenance. This tool supports Standard SQL, PostgreSQL, MySQL, and BigQuery dialects — switch between them to handle dialect-specific keywords correctly.
कैसे उपयोग करें (चरण-दर-चरण)
- 1
Paste your SQL query
From any source: a one-line ORM dump, a stack-trace fragment, a legacy stored procedure. Whitespace and line breaks don't matter — the parser sorts it out.
- 2
Pick your dialect
Standard SQL covers most cases. Switch to PostgreSQL, MySQL, or BigQuery if you use dialect-specific syntax like JSON operators or backticks.
- 3
Copy the formatted output
The result has consistent indentation and uppercase keywords. Paste straight into your PR, ticket, or docs without further cleanup.
यह कैसे काम करता है
The formatter parses your SQL into an abstract syntax tree, then prints it back with consistent spacing, line breaks at clause boundaries, and your chosen indent (2 or 4 spaces). Keywords can be normalized to UPPERCASE for clarity. The Minify button does the opposite — strips formatting to produce a single-line query for use in code strings. Everything runs in your browser; your SQL never leaves your device.
कब उपयोगी है
Before pasting into pull requests so reviewers see clean queries. When inheriting legacy stored procedures that grew organically. When extracting SQL from ORM logs or stack traces. When teaching SQL — formatted queries highlight clause structure. When generating SQL programmatically and you need a human-readable check.
अक्सर पूछे जाने वाले प्रश्न
Choose the database you're targeting. Standard SQL works for most queries but won't handle PostgreSQL JSON operators (->) or MySQL backticks. BigQuery and PostgreSQL have unique syntax for ARRAY/STRUCT types.