In complex applications, it's essential to separate the internal representations of information from the ways that information is presented and accepted from the user. This separation allows for more modular and scalable applications where the user interface can be changed independently of the business logic.
Separate an application into three interconnected components: Model (data), View (UI), and Controller (business logic), to promote organized programming and improve code maintainability and scalability.
The implementation of the Model-View-Controller pattern involves dividing an application into three distinct components, each responsible for handling specific development aspects:
The Model represents the application's data and business logic. It manages the data, logic, and rules of the application. The Model notifies its associated Views and Controllers when there has been a change in its state.
The View displays the data to the user. It retrieves data from the Model and presents it. The View also sends user interactions to the Controller.
The Controller acts as an intermediary between the View and the Model. It processes user input, manipulates the Model, and updates the View accordingly.
Let's consider a simple calculator application that performs basic arithmetic operations. The application can be divided into the following components:
The components are as follows:
Model - Contains the logic for arithmetic operations and maintains the state of the calculations.
View - Presents the calculator interface to the user, displaying buttons and a display screen for input and output.
Controller - Handles user inputs from the View, updates the Model based on these inputs, and instructs the View to update its display.
MVC initially emerged in the Smalltalk-80 environment, as a way to structure interactive graphical applications. The original pattern involved a tight coupling between the Model, which managed application data and logic; the View, which rendered the Model’s state to the user; and the Controller, which handled user input events and translated them into Model updates. This approach relied heavily on the Observer pattern, with Models actively notifying Views and Controllers about changes. Although this "classic" MVC pattern laid the groundwork for GUI architectures, its direct application diminished over time as application environments grew more diverse and complex.
The strict, "classic" MVC approach—where the View actively queries the Model, and the Model directly notifies both the View and Controller—is not commonly used in its original form in modern desktop development. Early desktop frameworks borrowed MVC concepts, but tended to merge responsibilities or adapt the pattern to event-driven paradigms. Over time, based on model view controller, a set of new patterns, mode testable and maintainable patterns were used:
Desktop and rich-client UI frameworks often evolved towards Model-View-Presenter (MVP) or Model-View-ViewModel (MVVM) to better isolate the View from domain logic. MVP positions a Presenter as the mediator that retrieves Model data and updates a passive View. MVVM, popularized by frameworks like WPF, introduces a ViewModel that provides a binding-friendly interface for the View. These patterns offer clearer separation of concerns and facilitate easier testing and maintenance than classic MVC.
There are many examples of desktop frameworks that have their own “take” on MVC. For instance, older versions of Cocoa (macOS development) and frameworks like Java Swing or .NET WinForms borrow ideas from MVC but do not implement it in the same strict manner. They often delegate responsibilities differently, focus on event-driven programming, and may merge the Controller and View into one object (as in Cocoa’s View-Controller), or treat Views and Controllers as tightly coupled components.
Contemporary web frameworks frequently claim to follow the MVC pattern, but their interpretation often diverges from the original Smalltalk-80 conception. Instead of continuously updating the View based on Model changes, modern implementations embrace a stateless, request/response approach that aligns with the nature of HTTP-driven web applications. This pattern is common across frameworks in various languages, including Ruby (Ruby on Rails), Python (Django), PHP (Laravel), and Java (Spring MVC).
In these frameworks, the Controller’s primary responsibility is to handle incoming HTTP requests. For instance, Rails or Django Controllers parse the request, retrieve or modify data via the Model (often using an ORM), and pass that data to the View. Similarly, in Java’s Spring MVC, @Controller or @RestController classes map requests to handler methods. These methods interact with the Model layer—commonly represented by Service and DAO components—and then return a ModelAndView object or populate a Model instance. The View (often a JSP, Thymeleaf, or another templating engine) receives the data from the Controller and renders the final output. Unlike the original MVC, the View in these frameworks does not query the Model directly; it simply displays whatever the Controller provides.
Modern MVC frameworks use templates that do not continuously observe the Model. Instead, the rendering process occurs in response to a specific HTTP request. Whether it’s ERB templates in Rails, Jinja2 in Django, Blade in Laravel, or JSP/Thymeleaf in Spring MVC, the View acts as a passive layer waiting for the Controller to supply the necessary data. Once the Controller finishes its logic, it passes the prepared data to the template, which then generates the final HTML for that single response.
These architectures reflect the inherent statelessness of web interactions. Each user action—such as clicking a link or submitting a form—initiates a new HTTP request. The Controller processes the request, interacts with the Model, and provides data to the View for rendering. This cycle repeats for each request/response pair. There are no continuous updates from the Model to the View—only discrete, isolated interactions. This approach suits web applications perfectly, where each request is independent and does not rely on the persistent, observer-driven updates that defined the original MVC environment.
In essence, Spring MVC and other popular web frameworks adapt MVC principles to the realities of the web. By focusing on the Controller as a request handler, using passive Views as templating engines, and embracing the statelessness of HTTP, they present a pragmatic evolution of MVC that suits the demands of modern web development.
As architectures continued to evolve, new variations emerged to address particular challenges and platform nuances:
This pattern builds upon MVVM by introducing a Coordinator component that manages navigation and flow, further reducing the ViewModel’s responsibilities. MVVM-C is often adopted in mobile and modern desktop frameworks where navigation logic can be extracted from the UI and business layers, leading to cleaner, more modular code.
Originating from the iOS community, VIPER stands for View, Interactor, Presenter, Entity, and Router. It aims for an even more granular separation of concerns than classic MVC or MVP by isolating responsibilities, ensuring that each component has a single, well-defined role. VIPER can improve testability and scalability in complex apps but may introduce additional complexity.
As applications moved from tightly coupled desktop GUIs to the stateless web and complex, data-driven mobile environments, developers adapted MVC principles to fit new constraints and priorities. Testability, maintainability, and scalability became paramount, driving the evolution towards MVP, MVVM, MVVM-C, VIPER, and other patterns. While these descendants owe their existence to the original MVC concept, they cater to modern demands, ensuring that UI updates, user interactions, and business logic are handled with clarity and efficiency.
Ensuring that the Model, View, and Controller are properly synchronized can be challenging. The Model should notify Views and Controllers about changes, which can be implemented using the Observer pattern.
Implementing data binding between the View and the Model can be complex, especially in applications with rich user interfaces. Frameworks and libraries can assist in managing this complexity.
Updating the View too frequently can lead to performance issues. Implement caching mechanisms or update throttling to mitigate this problem.
The MVC pattern promotes separation of concerns, making applications more modular and easier to maintain. However, it can introduce complexity due to the increased number of components and the interactions between them. Proper planning and understanding of the pattern are essential to reap its benefits.