享元模式

1.定义

它使用共享物件,用来尽可能减少内存使用量以及分享资讯给尽可能多的相似物件;它适合用于只是因重复而导致使用无法令人接受的大量内存的大量物件。主要用于减少创建对象的数量,以减少内存占用和提高性能。这种类型的设计模式属于结构型模式,它提供了减少对象数量从而改善应用所需的对象结构的方式。(例如各种池技术就是使用的享元模式)

2.具体实现

2.1代码

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package 设计模式;

public class FlyweightPattern {
public static void main(String[] args) {
FlyweightFactory factory = new FlyweightFactory();
Flyweight f01 = factory.getFlyweight("a");
Flyweight f02 = factory.getFlyweight("a");
Flyweight f03 = factory.getFlyweight("a");
Flyweight f11 = factory.getFlyweight("b");
Flyweight f12 = factory.getFlyweight("b");
f01.operation(new UnsharedConcreteFlyweight("第1次调用a。"));
f02.operation(new UnsharedConcreteFlyweight("第2次调用a。"));
f11.operation(new UnsharedConcreteFlyweight("第1次调用b。"));
f12.operation(new UnsharedConcreteFlyweight("第2次调用b。"));
}
}
//非享元外部信息
class UnsharedConcreteFlyweight {
private String info;
UnsharedConcreteFlyweight(String info) {
this.info = info;
}
public String getInfo() {
return info;
}
public void setInfo(String info) {
this.info = info;
}
}
//抽象享元对象
interface Flyweight {
public void operation(UnsharedConcreteFlyweight state);
}
//具体享元对象
class ConcreteFlyweight implements Flyweight {
private String key;
ConcreteFlyweight(String key) {
this.key = key;
System.out.println("具体享元" + key + "被创建!");
}
@Override
public void operation(UnsharedConcreteFlyweight outState) {
System.out.print("具体享元" + key + "被调用,");
System.out.println("非享元信息是:" + outState.getInfo());
}
}
//享元工厂角色
class FlyweightFactory {
private HashMap<String, Flyweight> flyweights = new HashMap<String, Flyweight>();
public Flyweight getFlyweight(String key) {
Flyweight flyweight = (Flyweight) flyweights.get(key);
if (flyweight != null) {
System.out.println("具体享元" + key + "已经存在,被成功获取!");
} else {
flyweight = new ConcreteFlyweight(key);
flyweights.put(key, flyweight);
}
return flyweight;
}
}

3.优点

  • 相同对象只要保存一份,这降低了系统中对象的数量,大大减少对象的创建,降低系统的内存,使效率提高。

4.缺点

  • 为了使对象可以共享,需要将一些不能共享的状态外部化,这将增加程序的复杂性。
  • 读取享元模式的外部状态会使得运行时间稍微变长。

5.使用场景

  • 当系统中多处需要同一组信息时,可以把这些信息封装到一个对象中,然后对该对象进行缓存,这样,一个对象就可以提供给多出需要使用的地方,避免大量同一对象的多次创建,降低大量内存空间的消耗。