Flyweight Design Pattern Explained: Save Memory with Shared Objects

Learn how the Flyweight design pattern makes millions of objects memory-efficient by separating shared data from data unique to each instance. Using a forest of a million trees as a running example, this tutorial shows how to slash memory usage by sharing heavy intrinsic state across countless objects.

We start with a naive Tree class where every object duplicates its name, color, texture, and mesh—ballooning memory into the red. Then we refactor step by step into a clean Flyweight implementation backed by a factory cache.

What this video covers:
- What the Flyweight pattern is and the problem it solves
- The difference between intrinsic state (shared: name, color, texture, mesh) and extrinsic state (unique: x, y coordinates)
- Building a TreeType flyweight that holds only the heavy shared data
- Using a TreeFactory cache with getTreeType to reuse instances by name and color
- Refactoring the Tree class to store just x, y, and a single TreeType reference
- How a Forest holds thousands of Trees that all share one TreeType
- Comparing the before and after versions to see dramatic memory savings
- Passing extrinsic state into the draw method at render time

By the end, you'll understand how to separate intrinsic state into a flyweight, pass extrinsic state per call, and reuse instances through a factory cache for lightweight, memory-friendly objects.

#Flyweight #DesignPatterns #SoftwareDesign #OOP #Programming #MemoryOptimization #SoftwareEngineering #CodingTutorial

Видео Flyweight Design Pattern Explained: Save Memory with Shared Objects канала Alfa Yohannis