我已经阅读了有关 Hashmap 冲突的内容并举了以下示例。因为我无法理解什么是碰撞以及如何避免发生碰撞。示例如下
import java.util.*;
class JavaCollision{
public static void main(String args[]){
HashMap<Person, String> map=new HashMap<Person, String>();
Person p1 = new Person(1,"ABC");
Person p2 = new Person(2,"DEF");
Person p3 = new Person(1,"XYZ");
Person p4 = new Person(1,"PQR");
Person p5 = new Person(1,"PQR");
System.out.println("Adding Entries ....");
map.put(p1,"ONE");
map.put(p2,"TWO");
map.put(p3,"THREE");
map.put(p4,"FOUR");
map.put(p5,"FIVE");
System.out.println("\nComplete Map entries \n" + map);
/* System.out.println("\nAccessing non-collided key");
System.out.println("Value = "+map.get(p2));
System.out.println("\nAccessing collided key");
System.out.println("Value = " + map.get(p1));*/
System.out.println("P1 hashcode is:"+map.get(p1).hashCode()+" And value is:"+map.get(p1));
System.out.println("P2 hashcode is:"+map.get(p2).hashCode()+" And value is:"+map.get(p2));
System.out.println("P3 hashcode is:"+map.get(p3).hashCode()+" And value is:"+map.get(p3));
System.out.println("P4 hashcode is:"+map.get(p4).hashCode()+" And value is:"+map.get(p4));
System.out.println("P5 hashcode is:"+map.get(p5).hashCode()+" And value is:"+map.get(p5));
}
}
Person.java
public class Person {
private int id;
private String name;
public Person(int id, String name) {
this.id = id; this.name = name;
}
public String getName() {
return name;
}
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public void setName (String name) {
this.name = name;
}
public int hashCode(){
System.out.println("Called hashcode for:"+id+" - "+name);
return id;
}
public boolean equals(Object obj){
System.out.println("Called equals on ="+id+" - "+name+" to compare with "+((Person)obj));
boolean result=false;
if(obj instanceof Person){
if( ((Person)obj).getId() == id && ((Person)obj).getName().equals(name) ){
result=true;
System.out.println("Result is true");
}
}
return result;
}
public String toString() {
return id+" . "+name;
}
}
结果是
Adding Entries ....
Called hashcode for:1 - ABC
Called hashcode for:2 - DEF
Called hashcode for:1 - XYZ
Called equals on =1 - XYZ to compare with 1 . ABC
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
Called equals on =1 - PQR to compare with 1 . PQR
Result is true
Complete Map entries
{1 . ABC=ONE, 1 . XYZ=THREE, 1 . PQR=FIVE, 2 . DEF=TWO}
Called hashcode for:1 - ABC
Called hashcode for:1 - ABC
P1 hashcode is:78406 And value is:ONE
Called hashcode for:2 - DEF
Called hashcode for:2 - DEF
P2 hashcode is:83500 And value is:TWO
Called hashcode for:1 - XYZ
Called equals on =1 - XYZ to compare with 1 . ABC
Called hashcode for:1 - XYZ
Called equals on =1 - XYZ to compare with 1 . ABC
P3 hashcode is:79801726 And value is:THREE
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
P4 hashcode is:2158258 And value is:FIVE
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
Called equals on =1 - PQR to compare with 1 . PQR
Result is true
Called hashcode for:1 - PQR
Called equals on =1 - PQR to compare with 1 . ABC
Called equals on =1 - PQR to compare with 1 . XYZ
Called equals on =1 - PQR to compare with 1 . PQR
Result is true
P5 hashcode is:2158258 And value is:FIVE
在此结果中,p4 和 p5 具有相同的哈希码。如何避免在 hashmap 中使用相同的 hashcode。我们能否通过返回hashcode来避免冲突。
最佳答案
您对 HashMap
中的冲突有一种奇怪的理解。它实际上非常简单 - 当两个对象在内部重新哈希在 HashMap
内完成后具有相同的哈希码时:
static final int hash(Object key) {
int h;
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
}
基本上,在计算哈希码后,HashMap
将采用前 16 位,并对后 16 位进行 XOR 操作 - 确保更好的分布。如果在重新哈希之后,两个不同键具有哈希码值 - 这称为哈希冲突。这意味着两个条目最终将位于同一个存储桶中。
但通常这一直是性能瓶颈,因为放置在同一个存储桶中的条目(在达到一定数量后)会被放入完美平衡的红黑树
中,并且搜索还是很快的。例如,如果此存储桶中有 2 pow 32
条目,则需要 max 32 步才能找到该条目;在此树桶
中,一般搜索时间为O(logn)
。对于 map 本身来说,搜索时间将是O(1)
- 常数。
所以不要让自己复杂化 - 虽然您可以测试您的 Key#hashCode
以便它具有更好的哈希码 - 不要这样做,除非您确定存在性能问题(我非常怀疑)。
关于java - HashMap 中的碰撞,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/45952231/