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  • java实现hash一致性算法

    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;
            }
        }
    }
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  • 原文地址:https://www.cnblogs.com/yangmengdx3/p/4707864.html
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