Convert MediaWiki to SQL

Why Convert MediaWiki to SQL?

Converting MediaWiki markup to SQL format enables you to extract structured data from wiki pages and import it into relational databases. Wikis often accumulate valuable structured information in tables, infoboxes, and template parameters that can be much more effectively queried and analyzed when stored in a proper database. This conversion bridges the gap between collaborative wiki content and structured data systems.

MediaWiki pages frequently contain tabular data that maps naturally to database tables. Wiki tables with headers and rows translate directly to CREATE TABLE and INSERT statements. Template parameters become column values, categories map to classification fields, and page metadata provides additional context. This structured extraction unlocks the data trapped in wiki markup for use in reporting, analytics, and application development.

SQL, the Structured Query Language, has been the industry standard for relational data management since the 1970s. SQL files containing CREATE TABLE and INSERT statements are the most portable way to transfer structured data between database systems. Whether you use MySQL, PostgreSQL, SQLite, or SQL Server, the resulting SQL file can be imported to populate your database with content extracted from wiki pages.

This conversion is particularly useful for data migration projects, knowledge base restructuring, and content management system transitions. When moving from a wiki-based system to a database-driven application, converting wiki content to SQL ensures that no information is lost and that the data is immediately usable in the new system. It also enables powerful querying capabilities that are not possible with wiki markup alone.

Key Benefits of Converting MediaWiki to SQL:

• Data Extraction: Pull structured data from wiki tables and templates into databases
• Query Capability: Enable SQL queries on content previously locked in wiki format
• Database Import: Ready-to-execute SQL scripts for any relational database
• Migration Support: Facilitate moves from wiki platforms to database-driven apps
• Analytics Ready: Structured data enables reporting and analysis
• Cross-Platform: SQL works with MySQL, PostgreSQL, SQLite, and all major databases
• Automation: SQL scripts can be executed in automated pipelines

Practical Examples

Example 1: Wiki Table to SQL INSERT Statements

Input MediaWiki file (employees.wiki):

== Employee Directory ==

{| class="wikitable sortable"
|-
! Name !! Department !! Role
|-
| Alice Johnson || Engineering || Senior Developer
|-
| Bob Smith || Marketing || Campaign Manager
|-
| Carol Williams || Engineering || Tech Lead
|}

Output SQL file (employees.sql):

-- Employee Directory
-- Converted from MediaWiki markup

CREATE TABLE employee_directory (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  name VARCHAR(255),
  department VARCHAR(255),
  role VARCHAR(255)
);

INSERT INTO employee_directory (name, department, role)
  VALUES ('Alice Johnson', 'Engineering', 'Senior Developer');
INSERT INTO employee_directory (name, department, role)
  VALUES ('Bob Smith', 'Marketing', 'Campaign Manager');
INSERT INTO employee_directory (name, department, role)
  VALUES ('Carol Williams', 'Engineering', 'Tech Lead');

Example 2: Wiki Infobox to SQL Record

Input MediaWiki file (product.wiki):

== Widget Pro ==
{{Infobox product
| name = Widget Pro
| category = Electronics
| price = 49.99
| weight = 0.5 kg
| manufacturer = Acme Corp
| release_date = 2025-03-15
}}

The '''Widget Pro''' is our flagship electronic device.

Output SQL file (product.sql):

-- Product data extracted from Wiki infobox

CREATE TABLE products (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  name VARCHAR(255),
  category VARCHAR(255),
  price DECIMAL(10,2),
  weight VARCHAR(50),
  manufacturer VARCHAR(255),
  release_date DATE,
  description TEXT
);

INSERT INTO products (name, category, price, weight, manufacturer,
  release_date, description)
VALUES ('Widget Pro', 'Electronics', 49.99, '0.5 kg',
  'Acme Corp', '2025-03-15',
  'The Widget Pro is our flagship electronic device.');

Example 3: Wiki Content Sections to SQL

Input MediaWiki file (faq.wiki):

== Frequently Asked Questions ==

=== How do I reset my password? ===
Go to the [[Login Page]] and click ''Forgot Password''.

=== What payment methods are accepted? ===
We accept '''Visa''', '''Mastercard''', and '''PayPal'''.

=== How long does shipping take? ===
Standard shipping takes 5-7 business days.
[[Category:Support]]

Output SQL file (faq.sql):

-- FAQ content extracted from MediaWiki

CREATE TABLE faq (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  question VARCHAR(500),
  answer TEXT,
  category VARCHAR(100)
);

INSERT INTO faq (question, answer, category)
VALUES ('How do I reset my password?',
  'Go to the Login Page and click Forgot Password.',
  'Support');
INSERT INTO faq (question, answer, category)
VALUES ('What payment methods are accepted?',
  'We accept Visa, Mastercard, and PayPal.',
  'Support');
INSERT INTO faq (question, answer, category)
VALUES ('How long does shipping take?',
  'Standard shipping takes 5-7 business days.',
  'Support');

Frequently Asked Questions (FAQ)

Q: What is SQL format?

A: SQL (Structured Query Language) is the standard language for interacting with relational databases. An SQL file contains text-based statements that create tables (CREATE TABLE), insert data (INSERT INTO), query data (SELECT), and modify database structures. SQL files are used for database backups, data migrations, seed data, and schema definitions across all major database systems.

Q: Which database systems can use the converted SQL file?

A: The generated SQL uses standard syntax compatible with most relational databases, including MySQL, MariaDB, PostgreSQL, SQLite, Microsoft SQL Server, and Oracle. Minor syntax adjustments may be needed for database-specific features (such as auto-increment syntax), but the core INSERT statements and basic CREATE TABLE definitions work across all platforms.

Q: How is wiki table data mapped to SQL tables?

A: Wiki table headers become SQL column names, and each table row becomes an INSERT statement. The converter analyzes the data in each column to suggest appropriate SQL data types (VARCHAR for text, INTEGER for numbers, DATE for dates, etc.). Table names are derived from the wiki section heading or page title, cleaned to be valid SQL identifiers.

Q: What happens to wiki formatting in the SQL output?

A: Wiki formatting markup (bold, italic, links) is stripped during conversion, leaving only the plain text content. SQL is a data format, not a document format, so visual formatting is not applicable. The textual content of the wiki page is preserved in SQL text fields, while the structure (headings, tables, lists) is mapped to the database schema.

Q: Can I import the SQL file directly into my database?

A: Yes! The generated SQL file contains valid SQL statements that can be executed directly. For MySQL, use: mysql -u user -p database < file.sql. For PostgreSQL: psql -U user -d database -f file.sql. For SQLite: sqlite3 database.db < file.sql. You can also open the SQL file in any database management tool like DBeaver, phpMyAdmin, or pgAdmin.

Q: How are MediaWiki templates converted to SQL?

A: MediaWiki templates with named parameters are ideal for SQL conversion. Each template becomes a table row, with parameter names mapping to column names and parameter values becoming the row data. For example, an infobox template with fields like name, date, and category naturally translates to a table with corresponding columns and an INSERT statement for the values.

Q: Are special characters in wiki content properly escaped?

A: Yes, the converter properly escapes special characters for SQL compatibility. Single quotes in text content are escaped as double single quotes (''), and other special characters are handled according to SQL standards. This prevents SQL syntax errors and potential injection issues when the generated file is imported into a database.

Q: Can I convert multiple wiki pages into a single SQL file?

A: Each wiki page is converted individually to produce a focused SQL file. To combine data from multiple wiki pages, convert each page separately and then merge the resulting SQL files. If the pages contain similar table structures, the INSERT statements can share a common CREATE TABLE definition, making it easy to build a comprehensive database from multiple wiki sources.