传统哈希的问题:
1.节点动态改变:
例如,原先的hash规则是key%4,增加节点后规则变为key%5,为保证存量数据可以背准确映射,需对其进行数据迁移(rebalance)
又例如,原先的hash规则是key%4,删除一个节点后规则变为key%3,导致缓存击穿缓存雪崩
一致性哈希:节点动态增加/改变造成的数据迁移/缓存穿透的成本最小
1.原理:我们将节点映射在0-2^32的环上,对请求进行hash运算,得到请求的hashcode,顺时针查找最近的节点,即为找到请求与节点的映射关系。
2.虚节点的引入:
2.2问题:如果节点数目较少,且分布不够离散,则会导致负载不均衡。
2.3解决:对于每个节点,会对应若干个虚节点,请求映射到虚节点上,虚节点在对应到真实节点,增加节点离散性。
3.实现:
package com.test.server;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.List;
import java.util.Objects;
import java.util.SortedMap;
import java.util.TreeMap;
import java.util.concurrent.CopyOnWriteArrayList;
/**
* thread unsafe
* copyright
*/
public class HashServer {
private static final int NODE_NUM = 3;
private volatile int nodeNum;
/**
* thread unsafe
*/
private TreeMap<Long, Node> serverNodes = new TreeMap<>();
private List<Node> serverList = new CopyOnWriteArrayList<>();
public Node findServer(String key) {
long l = md5Digest(key);
SortedMap<Long, Node> sortedMap = serverNodes.tailMap(l);
Long k = null;
if (sortedMap.isEmpty()) {
k = serverNodes.firstKey();
} else {
k = sortedMap.firstKey();
}
Node node = serverNodes.get(k);
System.out.println("find node by key,hash=" + l + " node key=" + k + " node=" + node.toString());
return node;
}
public void remove(String name, String ip) {
if (nodeNum <= 0) {
return;
}
for (int i = 0; i < nodeNum; i++) {
long l = md5Digest(keyKitWithVitralNode(name, ip, nodeNum));
serverNodes.remove(l);
}
Node node = new Node();
node.setIp(ip);
node.setName(name);
//array list with remove node accounting to equals() method;
//the same ip and name node can be removed
// because of implements equals method,
serverList.remove(node);
}
public void createServer(String name, String ip) {
createServer(name, ip, NODE_NUM);
}
private void createServer(String name, String ip, int nodeNum) {
if (nodeNum <= 0) {
nodeNum = 0;
}
this.nodeNum = nodeNum;
if (nodeNum == 0) {
return;
}
Node node = new Node();
node.setName(name);
node.setIp(ip);
serverList.add(node);
for (int i = 0; i < nodeNum; i++) {
//生成n个虚拟节点
long l = md5Digest(keyKitWithVitralNode(name, ip, i));
serverNodes.put(l, node);
System.out.println(node.toString() + "-" + "第 " + i + "个节点" + "hash=" + l);
}
}
/**
* 取Md5并散列到0~2^32-1上
*/
private long md5Digest(String key) {
MessageDigest md5 = null;
try {
md5 = MessageDigest.getInstance("MD5");
} catch (NoSuchAlgorithmException e) {
//不做处理。“MD5”是写死的,不可能抛异常
}
md5.reset();
md5.update(key.getBytes());
byte[] bKey = md5.digest();
return ((long) (bKey[3] & 0xFF) << 24)
| ((long) (bKey[2] & 0xFF) << 16)
| ((long) (bKey[1] & 0xFF) << 8)
| (long) (bKey[0] & 0xFF);
}
private String keyKit(String name, String ip) {
return name + ":" + ip;
}
private String keyKitWithVitralNode(String name, String ip, int index) {
return name + ":" + ip + ":" + index;
}
private static class Node {
private String name;
private String ip;
public String getIp() {
return ip;
}
public void setIp(String ip) {
this.ip = ip;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Node node = (Node) o;
return Objects.equals(name, node.name) &&
Objects.equals(ip, node.ip);
}
@Override
public int hashCode() {
return Objects.hash(name, ip);
}
@Override
public String toString() {
return "Node{" +
"name='" + name + '\'' +
", ip='" + ip + '\'' +
'}';
}
}
public static void main(String[] args) {
HashServer hashServer = new HashServer();
hashServer.createServer("node1", "192.168.10.2");
hashServer.createServer("node2", "192.168.10.1");
hashServer.findServer("aaa");
}
}
4.运行结果: