SQL Format Guide
Structured Query Language — the universal language for relational database management
About SQL Format
SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. SQL files (.sql) contain database commands including schema definitions (CREATE TABLE, ALTER TABLE), data manipulation (INSERT, UPDATE, DELETE, SELECT), and administrative operations (GRANT, REVOKE). Developed in the 1970s at IBM, SQL became an ANSI/ISO standard in 1986 and remains the foundation of virtually all relational database systems.
SQL files serve multiple purposes — from database schema documentation and migration scripts to data export dumps and backup files. Every major RDBMS supports SQL including MySQL, PostgreSQL, Oracle, Microsoft SQL Server, SQLite, and MariaDB. While each database has dialect-specific extensions, the core SQL syntax is universal, making .sql files the standard format for database portability and documentation.
Available Conversions
Convert SQL to AsciiDoc documentation
Convert SQL to AsciiDoc markup
Convert SQL to Kindle e-book format
Encode SQL content to Base64
Convert SQL to BBCode for forums
Extract SQL data to CSV tabular format
Convert to Word 97-2003 document
Convert to DocBook XML for publishing
Convert to modern Word document
Convert SQL to EPUB e-book
Convert to modern EPUB3 format
Convert to FictionBook 2.0
Encode to hexadecimal representation
Convert SQL to syntax-highlighted HTML
Convert SQL metadata to INI config
Convert SQL structure to JSON format
Convert to LaTeX document with listings
Convert to plain text log format
Convert SQL to Markdown with code blocks
Convert to MD Markdown format
Convert SQL to MediaWiki markup
Convert to Kindle MOBI e-book
Convert to OpenDocument Text
Convert to Emacs Org-mode format
Convert to PDF document
Convert to PowerPoint presentation
Convert SQL metadata to Java Properties
Convert to reStructuredText
Convert to Rich Text Format
Convert to SVG vector graphic
Convert to StarOffice Writer
Convert to LaTeX document
Convert to plain text
Convert to Textile markup
Convert SQL metadata to TOML config
Extract SQL data to tab-separated values
Convert to plain text
Convert to Wiki markup
Convert to Excel spreadsheet
Convert SQL to XML structure
Convert SQL structure to YAML
Convert SQL structure to YML
SQL Format Features
- DDL Statements: CREATE, ALTER, DROP for schema definition
- DML Statements: SELECT, INSERT, UPDATE, DELETE for data manipulation
- DCL Statements: GRANT, REVOKE for access control
- Comments: Single-line (--) and multi-line (/* */) comment syntax
- Transactions: BEGIN, COMMIT, ROLLBACK for atomic operations
- Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, NOT NULL
- Functions: Aggregate (COUNT, SUM, AVG), string, date, and window functions
Common Uses
- Database Schema: CREATE TABLE definitions, indexes, constraints, views
- Data Migration: INSERT statements for moving data between databases
- Backup & Restore: Database dumps via mysqldump, pg_dump, etc.
- Query Documentation: Saved queries, stored procedures, functions
- ETL Pipelines: Extract-Transform-Load scripts for data warehousing
- Version Control: Migration files in frameworks (Rails, Django, Flyway, Liquibase)
- Reporting: Complex analytical queries for business intelligence