Java工厂方法高速缓存

本文介绍了Java工厂方法高速缓存的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述 29岁程序员，3月因学历无情被辞！ 我必须开发一些像生活游戏。为此，我有一个名为 CellPosition 的类，它具有 x 和 y 字段。为了有效地使用内存，我想使用某种工厂方法。I have to develop something like a game of life. For that, I have a class called CellPosition that has x and y fields. In order to efficiently use memory, I would like to use some kind of factory method. CellPosition.at（int x，int y） / code>，它将返回 CellPosition 的实例。我想缓存具有相同 x，y 对的对象。我虽然一个列表或一个 HashMap ，但我不知道该使用什么作为一个键。在字符串中连接 x 和 y 是一个好主意。CellPosition.at(int x, int y) which would return an instance of CellPosition. I would like though to cache the objects that have the same x, y pair. I though of a List or a HashMap, but I cannot figure out what to use as a key. A concatenation of x and y in a string is doubtingly a good idea.另一方面，这是一个好主意，每次创建一个对象，只需重新定义 equals（）On the other hand, is it a good idea to just create an object each time and just redefine the equals() method to compare the objects and throw away any caching?推荐答案如果你不介意使用 Guava ，只是：If you don't mind using Guava, just: 使 CellPosition 实例不可变，然后 使用 Interner< CellPosition> （从 Interners ），然后 继续解决实际问题。Make CellPosition instances immutable, thenUse an Interner<CellPosition> (obtained from Interners), thenMove on to solving real problems.像这样：class CellPosition{ private static final Interner<CellPosition> CACHE = Interners.newStrongInterner(); // or .newWeakInterner(), to allow instances to be garbage collected private final int x; private final int y; private CellPosition(int x, int y) { this.x = x; this.y = x; } public int x() { return x; } public int y() { return y; } public static CellPosition at(int x, int y) { return CACHE.intern(new CellPosition(x, y)); } @Override public boolean equals(Object other) {/* TODO */} @Override public int hashCode() {/* TODO */}}您也可以使用Guava 缓存 而不是 Interner ，但没有太多意义，因为你必须为缓存构造一个int对密钥 - 对于内部人员，无论如何，减少LoC。You could also use a Guava Cache instead of an Interner, but there's not much point since you'd have to construct an int-pair key for the cache — which you're doing anyway for the interner, in fewer LoC. 这篇关于Java工厂方法高速缓存的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！ 上岸，阿里云！