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java实现hash一致性算法

时间:2015-08-06 14:59:06      阅读:306      评论:0      收藏:0      [点我收藏+]
package hash;

import hash.Shard.Node;

import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.SortedMap;
import java.util.TreeMap;

@SuppressWarnings("hiding")
public class Shard<Node> { // S类封装了机器节点的信息 ,如name、password、ip、port等

    static private TreeMap<Long, Node> nodes; // 虚拟节点到真实节点的映射
    static private TreeMap<Long, Node> treeKey; //key到真实节点的映射
    static private List<Node> shards = new ArrayList<Node>(); // 真实机器节点
    private final int NODE_NUM = 100; // 每个机器节点关联的虚拟节点个数
    boolean flag = false;
    
    @SuppressWarnings("static-access")
    public Shard(List<Node> shards) {
        super();
        this.shards = shards;
        init();
    }

    public static void main(String[] args) {
        Node s1 = new Node("s1", "192.168.1.1");
        Node s2 = new Node("s2", "192.168.1.2");
        Node s3 = new Node("s3", "192.168.1.3");
        Node s4 = new Node("s4", "192.168.1.4");
        shards.add(s1);
        shards.add(s2);
        shards.add(s3);
        shards.add(s4);
        Shard<Node> sh = new Shard<Node>(shards);
        System.out.println("添加客户端,一开始有4个主机,分别为s1,s2,s3,s4,每个主机有100个虚拟主机:");
        sh.keyToNode("101客户端");
        sh.keyToNode("102客户端");
        sh.keyToNode("103客户端");
        sh.keyToNode("104客户端");
        sh.keyToNode("105客户端");
        sh.keyToNode("106客户端");
        sh.keyToNode("107客户端");
        sh.keyToNode("108客户端");
        sh.keyToNode("109客户端");
        sh.deleteS(s4);
        sh.addS(s4);
        System.out.println("最后的客户端到主机的映射为:");
        printKeyTree();
    }
    
    
    /**
     * 打印真实节点的映射
     */
    public static void printKeyTree(){
        for(Iterator<Long> it = treeKey.keySet().iterator();it.hasNext();){
            Long lo = it.next();
            System.out.println("hash("+lo+")连接到主机->"+treeKey.get(lo));
        }
    }
    
    /**
     * 生成虚拟节点的映射
     */
    private void init() { // 初始化一致性hash环
        nodes = new TreeMap<Long, Node>();
        treeKey = new TreeMap<Long, Node>();
        for (int i = 0; i != shards.size(); ++i) { // 每个真实机器节点都需要关联虚拟节点
            final Node shardInfo = shards.get(i);
            for (int n = 0; n < NODE_NUM; n++)
            {
                // 一个真实机器节点关联NODE_NUM个虚拟节点
                nodes.put(hash("SHARD-" + shardInfo.name + "-NODE-" + n), shardInfo);
            }
        }
    }
    //增加一个主机
    private void addS(Node s) {
        System.out.println("增加主机"+s+"的变化:");
        for (int n = 0; n < NODE_NUM; n++) {
            addS(hash("SHARD-" + s.name + "-NODE-" + n), s);
        }
    }
    
    //添加一个虚拟节点进环形结构,lg为虚拟节点的hash值
    public void addS(Long lg,Node s){
        SortedMap<Long, Node> tail = nodes.tailMap(lg);
        SortedMap<Long,Node>  head = nodes.headMap(lg);
        SortedMap<Long, Node> between;
        if(head.size()==0){
            between = treeKey.tailMap(nodes.lastKey());
        }else{
            Long begin = head.lastKey();
            between = treeKey.subMap(begin, false, lg, true);
        }
        nodes.put(lg, s);
        for(Iterator<Long> it=between.keySet().iterator();it.hasNext();){
            Long lo = it.next();
            treeKey.put(lo, nodes.get(lg));
            System.out.println("hash("+lo+")改变到->"+tail.get(tail.firstKey()));
        }
    }
    
    //删除真实节点是s
    public void deleteS(Node s){
        if(s==null){
            return;
        }
        System.out.println("删除主机"+s+"的变化:");    
        for(int i=0;i<NODE_NUM;i++){
            //定位s节点的第i的虚拟节点的位置
            SortedMap<Long, Node> tail = nodes.tailMap(hash("SHARD-" + s.name + "-NODE-" + i));
            SortedMap<Long,Node>  head = nodes.headMap(hash("SHARD-" + s.name + "-NODE-" + i));
            SortedMap<Long, Node> between;
            if(head.size()==0){
                between = treeKey.tailMap(nodes.lastKey());
            }else{
                Long begin = head.lastKey();
                Long end = tail.firstKey();
                between = treeKey.subMap(begin, false, end, true);//在s节点的第i个虚拟节点的所有key的集合
            }
            nodes.remove(tail.firstKey());//从nodes中删除s节点的第i个虚拟节点
            for(Iterator<Long> it = between.keySet().iterator();it.hasNext();){
                Long lo = it.next();
                if (tail.size() == 0) {
                    // 如果是尾节点,则关联到首接点上
                    treeKey.put(lo, nodes.firstEntry().getValue());
                    System.out.println("hash("+lo+")改变到->"+nodes.firstEntry().getValue());
                } else {
                    treeKey.put(lo, tail.get(tail.firstKey()));
                    System.out.println("hash("+lo+")改变到->"+tail.get(tail.firstKey()));
                }
            }
        }
        
    }

    //映射key到真实节点
    public void keyToNode(String key){
        Long hashKey = hash(key);
        SortedMap<Long, Node> tail = nodes.tailMap(hashKey); // 沿环的顺时针找到一个虚拟节点
        // 如果是尾节点
        if (tail.size() == 0) {
            // 映射节点为首节点
            treeKey.put(hashKey, nodes.firstEntry().getValue());
            System.out.println(key+"(hash: "+hashKey+")连接到主机->"+nodes.firstEntry().getValue());
            return;
        }
        treeKey.put(hashKey, tail.get(tail.firstKey()));
        System.out.println(key+"(hash:"+hashKey+")连接到主机->"+tail.get(tail.firstKey()));
    }
    
    /**
     *  MurMurHash算法,是非加密HASH算法,性能很高,
     *  比传统的CRC32,MD5,SHA-1(这两个算法都是加密HASH算法,复杂度本身就很高,带来的性能上的损害也不可避免)
     *  等HASH算法要快很多,而且据说这个算法的碰撞率很低.
     *  http://murmurhash.googlepages.com/
     */
    private static Long hash(String key) {
        ByteBuffer buf = ByteBuffer.wrap(key.getBytes());
        int seed = 0x1234ABCD;
        ByteOrder byteOrder = buf.order();
        buf.order(ByteOrder.LITTLE_ENDIAN);
        long m = 0xc6a4a7935bd1e995L;
        int r = 47;
        long h = seed ^ (buf.remaining() * m);
        long k;
        while (buf.remaining() >= 8) {
            k = buf.getLong();
            k *= m;
            k ^= k >>> r;
            k *= m;
            h ^= k;
            h *= m;
        }
        if (buf.remaining() > 0) {
            ByteBuffer finish = ByteBuffer.allocate(8).order(ByteOrder.LITTLE_ENDIAN);
            finish.put(buf).rewind();
            h ^= finish.getLong();
            h *= m;
        }
        h ^= h >>> r;
        h *= m;
        h ^= h >>> r;
        buf.order(byteOrder);
        return h;
    }
    
    static class Node{
        String name;
        String ip;
        public Node(String name,String ip) {
            this.name = name;
            this.ip = ip;
        }
        @Override
        public String toString() {
            return this.name+"-"+this.ip;
        }
    }
}

 

java实现hash一致性算法

原文:http://www.cnblogs.com/yangmengdx3/p/4707864.html

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