我阅读了解释但是我无法通过对hashCode进行XOR来理解我们正在实现的目标。任何人都可以举一些例子。
static final int hash(Object key) {
int h;
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
}
此代码取自HashMap源代码。我只是想知道他们为什么使用XOR,Marko回答说HashMap实现正确使用低端位。我认为不仅HashMap,其他集合也会做同样的事情,这就是为什么我没有提到任何集合名称。我不明白为什么人们"降价"这个问题。
答案 0 :(得分:2)
这是防止“坏”哈希码的典型策略:这样的低端比特不够可变。 Java的HashMap
实现仅依赖于哈希码的低端位来选择存储桶。
然而,这段代码的动机很久以前就已经过期了,因为HashMap
已经有了自己的位传播。如果在Hashtable
上使用它会有意义,但当然自2000年以来编写的代码都不应该使用它。
答案 1 :(得分:0)
代码是openjdk java HashMap源代码:HashMap.java
/**
* Computes key.hashCode() and spreads (XORs) higher bits of hash
* to lower. Because the table uses power-of-two masking, sets of
* hashes that vary only in bits above the current mask will
* always collide. (Among known examples are sets of Float keys
* holding consecutive whole numbers in small tables.) So we
* apply a transform that spreads the impact of higher bits
* downward. There is a tradeoff between speed, utility, and
* quality of bit-spreading. Because many common sets of hashes
* are already reasonably distributed (so don't benefit from
* spreading), and because we use trees to handle large sets of
* collisions in bins, we just XOR some shifted bits in the
* cheapest possible way to reduce systematic lossage, as well as
* to incorporate impact of the highest bits that would otherwise
* never be used in index calculations because of table bounds.
*/
static final int hash(Object key) {
int h;
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
}
异或是为了使散列结果更加分散