Creational design patterns are a category of design patterns that deal with object creation mechanisms. These patterns aim to create objects in a manner suitable to the situation, providing flexibility and reuse of code. They abstract the instantiation process, making the system independent of how its objects are created, composed, and represented.
Key Concepts
- Object Creation: Creational patterns abstract the instantiation process, making the system independent of how objects are created.
- Flexibility: They provide a way to decouple a client from the objects it needs to instantiate.
- Reuse: These patterns promote code reuse by encapsulating the instantiation logic.
Types of Creational Patterns
- Singleton: Ensures a class has only one instance and provides a global point of access to it.
- Factory Method: Defines an interface for creating an object, but lets subclasses alter the type of objects that will be created.
- Abstract Factory: Provides an interface for creating families of related or dependent objects without specifying their concrete classes.
- Builder: Separates the construction of a complex object from its representation, allowing the same construction process to create different representations.
- Prototype: Specifies the kinds of objects to create using a prototypical instance, and creates new objects by copying this prototype.
Comparison of Creational Patterns
| Pattern | Purpose | Example Use Case |
|---|---|---|
| Singleton | Ensure a class has only one instance and provide a global point of access to it. | Logger, Configuration Manager |
| Factory Method | Define an interface for creating an object, but let subclasses decide which class to instantiate. | GUI frameworks where components are created dynamically |
| Abstract Factory | Provide an interface for creating families of related or dependent objects without specifying their concrete classes. | Cross-platform UI components |
| Builder | Separate the construction of a complex object from its representation. | Building complex objects like a multi-step form |
| Prototype | Create new objects by copying an existing object, known as the prototype. | Object cloning, especially when object creation is expensive |
Practical Example: Singleton Pattern
Explanation
The Singleton pattern ensures that a class has only one instance and provides a global point of access to it. This is useful when exactly one object is needed to coordinate actions across the system.
Code Example
class Singleton:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(Singleton, cls).__new__(cls)
return cls._instance
# Usage
singleton1 = Singleton()
singleton2 = Singleton()
print(singleton1 is singleton2) # Output: TrueExplanation of Code
__new__Method: This method is responsible for creating a new instance of the class. If an instance already exists (_instanceis notNone), it returns the existing instance._instanceAttribute: A class-level attribute that holds the single instance of the class.
Common Mistakes
- Thread Safety: In a multi-threaded environment, the Singleton pattern needs to be thread-safe to avoid creating multiple instances.
- Global State: Overuse of the Singleton pattern can lead to issues with global state and make the system harder to test.
Exercise
Task: Implement a thread-safe Singleton class in Python.
import threading
class ThreadSafeSingleton:
_instance = None
_lock = threading.Lock()
def __new__(cls):
with cls._lock:
if cls._instance is None:
cls._instance = super(ThreadSafeSingleton, cls).__new__(cls)
return cls._instance
# Usage
singleton1 = ThreadSafeSingleton()
singleton2 = ThreadSafeSingleton()
print(singleton1 is singleton2) # Output: TrueSolution Explanation
- Thread Lock: The
_lockattribute ensures that only one thread can execute the block of code that creates the instance at a time, making it thread-safe.
Conclusion
Creational patterns are essential for managing object creation in a flexible and reusable manner. They help in decoupling the client from the instantiation process, promoting code reuse and flexibility. Understanding these patterns is crucial for designing robust and maintainable software systems.
In the next sections, we will delve deeper into each creational pattern, starting with the Singleton pattern.
Software Design Patterns Course
Module 1: Introduction to Design Patterns
- What are Design Patterns?
- History and Origin of Design Patterns
- Classification of Design Patterns
- Advantages and Disadvantages of Using Design Patterns
Module 2: Creational Patterns
Module 3: Structural Patterns
Module 4: Behavioral Patterns
- Introduction to Behavioral Patterns
- Chain of Responsibility
- Command
- Interpreter
- Iterator
- Mediator
- Memento
- Observer
- State
- Strategy
- Template Method
- Visitor
Module 5: Application of Design Patterns
- How to Select the Right Pattern
- Practical Examples of Pattern Usage
- Design Patterns in Real Projects
- Refactoring Using Design Patterns
Module 6: Advanced Design Patterns
- Design Patterns in Modern Architectures
- Design Patterns in Microservices
- Design Patterns in Distributed Systems
- Design Patterns in Agile Development
