This project provides a step-by-step guide to building a custom PHP MVC framework, focusing on integrating DataTables with server-side processing (SSP). It serves as an easy-to-understand MVC skeleton application, designed to teach the basics of the Model-View-Controller (MVC) architecture. The project is free, open-source, and ideal for developers looking to implement dynamic, database-driven tables in their applications.

• Teach developers the fundamentals of the MVC architecture.
• Demonstrate how to integrate DataTables with server-side processing for large-scale datasets.
• Provide a lightweight, customizable framework for PHP developers.

The framework has been updated to ensure compatibility with PHP 8.2, incorporating:

• Refactored core files (e.g., Database.php, Bootstrap.php, and Pages.php) for adherence to modern PHP practices.
• Improved error handling and streamlined code execution.
• Enhanced model integration for better scalability and maintainability.

• DataTables Integration:
  • Bootstrap 4 styling for responsive and modern UI.
  • File export functionality using DataTables Buttons extension (CSV, Excel, PDF, and print options).
• Server-Side Processing (SSP):
  • Efficient handling of large datasets with server-side paging, searching, and ordering.
  • Optimized for SQL-based data retrieval, ensuring fast performance even with extensive databases.

• PHP 8.2: Backend logic and MVC structure.
• jQuery: Simplifies DOM manipulation and Ajax calls.
• Bootstrap 4: Provides responsive and modern UI design.
• DataTables: Advanced table features, including sorting, searching, and pagination.
• Buttons Extension for DataTables: Enables file export functionality.

Explore the live demo of the project:
Live Demo

This integration is achieved by including the DataTables Bootstrap 4 files (CSS and JS), which set the necessary defaults for initializing DataTables seamlessly.

Exporting data from a table is often a key feature of complex applications. The Buttons extension for DataTables supports exporting data to multiple formats, including:

• CSV
• Excel
• PDF
• Print

For applications working with large datasets, server-side processing allows DataTables to:

• Delegate paging, searching, and ordering actions to the server.
• Leverage SQL engines for efficient data management.
• Perform Ajax requests for each table draw, ensuring real-time updates.

This project is licensed under the MIT License, allowing free usage and modification for personal or commercial purposes.