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

SQL to ADOC

Convert SQL to AsciiDoc documentation

SQL to AsciiDoc

Convert SQL to AsciiDoc markup

SQL to AZW3

Convert SQL to Kindle e-book format

SQL to Base64

Encode SQL content to Base64

SQL to BBCode

Convert SQL to BBCode for forums

SQL to CSV

Extract SQL data to CSV tabular format

SQL to DOC

Convert to Word 97-2003 document

SQL to DocBook

Convert to DocBook XML for publishing

SQL to DOCX

Convert to modern Word document

SQL to EPUB

Convert SQL to EPUB e-book

SQL to EPUB3

Convert to modern EPUB3 format

SQL to FB2

Convert to FictionBook 2.0

SQL to HEX

Encode to hexadecimal representation

SQL to HTML

Convert SQL to syntax-highlighted HTML

SQL to INI

Convert SQL metadata to INI config

SQL to JSON

Convert SQL structure to JSON format

SQL to LaTeX

Convert to LaTeX document with listings

SQL to LOG

Convert to plain text log format

SQL to Markdown

Convert SQL to Markdown with code blocks

SQL to MD

Convert to MD Markdown format

SQL to MediaWiki

Convert SQL to MediaWiki markup

SQL to MOBI

Convert to Kindle MOBI e-book

SQL to ODT

Convert to OpenDocument Text

SQL to ORG

Convert to Emacs Org-mode format

SQL to PDF

Convert to PDF document

SQL to PPTX

Convert to PowerPoint presentation

SQL to Properties

Convert SQL metadata to Java Properties

SQL to RST

Convert to reStructuredText

SQL to RTF

Convert to Rich Text Format

SQL to SVG

Convert to SVG vector graphic

SQL to SXW

Convert to StarOffice Writer

SQL to TEX

Convert to LaTeX document

SQL to TEXT

Convert to plain text

SQL to Textile

Convert to Textile markup

SQL to TOML

Convert SQL metadata to TOML config

SQL to TSV

Extract SQL data to tab-separated values

SQL to TXT

Convert to plain text

SQL to Wiki

Convert to Wiki markup

SQL to XLSX

Convert to Excel spreadsheet

SQL to XML

Convert SQL to XML structure

SQL to YAML

Convert SQL structure to YAML

SQL to YML

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