Model’s responsibility is to handle all data logic and representation and load data in the views. It is stored in application/models folder.
In CodeIgniter, the Model represents the data layer of your application. It is responsible for managing the data, interacting with the database, and performing business logic operations. Here’s a breakdown of what the Model does in CodeIgniter:
- Data Manipulation: The Model handles data manipulation tasks such as inserting, updating, deleting, and retrieving data from the database. It encapsulates the database interaction logic, making it easier to manage and maintain.
- Business Logic: It contains the business logic of your application. This includes any rules or algorithms that govern how data should be processed or validated before being saved or retrieved from the database.
- Separation of Concerns: CodeIgniter follows the MVC (Model-View-Controller) architectural pattern. Models help to separate the concerns of data manipulation and business logic from the presentation layer (View) and the application logic (Controller). This separation enhances code organization, readability, and maintainability.
- Reusability: Models can be reused across different parts of your application. For example, if you have similar data manipulation tasks in multiple controllers, you can create a single model to handle those tasks and reuse it wherever needed.
- Security: Models play a crucial role in ensuring the security of your application’s data. By centralizing data access and manipulation within the Model layer, you can implement security measures such as input validation, data sanitization, and parameterized queries to prevent SQL injection and other security vulnerabilities.
- Testing: Models are easier to test compared to controllers or views because they contain mainly business logic and database interactions. You can write unit tests to verify the correctness of your Model methods, ensuring that they behave as expected under different scenarios.
Overall, the Model in CodeIgniter serves as a bridge between the database and the rest of the application, handling data-related tasks and encapsulating business logic to ensure a well-structured and maintainable codebase.