Java HashTable实现

HashTable实现

/**
 * @Description:散列表实现
 */
public class HashTable  {
    /**
     * 散列表默认长度
     */
    private static final int DEFAULT_INITAL_CAPACITY = 8;

    /**
     * 装载因子
     */
    private static final float LOAD_FACTOR = 0.75f;

    /**
     * 初始化散列表数组
     */
    private Entry[] table;

    /**
     * 实际元素数量
     */
    private int size = 0;

    /**
     * 散列表索引数量
     */
    private int use = 0;

    public HashTable() {
        table = (Entry[]) new Entry[DEFAULT_INITAL_CAPACITY];
    }

    static class Entry {
        K key;

        V value;

        Entry next;

        Entry(K key, V value, Entry next) {
            this.key = key;
            this.value = value;
            this.next = next;
        }
    }

    /**
     * 新增
     *
     * @param key
     * @param value
     */
    public void put(K key, V value) {
        int index = hash(key);
        // 位置未被引用,创建哨兵节点
        if (table[index] == null) {
            table[index] = new Entry<>(null, null, null);
        }

        Entry tmp = table[index];
        // 新增节点
        if (tmp.next == null) {
            tmp.next = new Entry<>(key, value, null);
            size++;
            use++;
            // 动态扩容
            if (use >= table.length * LOAD_FACTOR) {
                resize();
            }
        }
        // 解决散列冲突,使用链表法
        else {
            do {
                tmp = tmp.next;
                // key相同,覆盖旧的数据
                if (tmp.key == key) {
                    tmp.value = value;
                    return;
                }
            } while (tmp.next != null);

            Entry temp = table[index].next;
            table[index].next = new Entry<>(key, value, temp);
            size++;
        }
    }

    /**
     * 散列函数
     * 

* 参考hashmap散列函数 * * @param key * @return */ private int hash(Object key) { int h; return (key == null) ? 0 : ((h = key.hashCode()) ^ (h >>> 16)) % table.length; } /** * 扩容 */ private void resize() { Entry[] oldTable = table; table = (Entry[]) new Entry[table.length * 2]; use = 0; for (int i = 0; i < oldTable.length; i++) { if (oldTable[i] == null || oldTable[i].next == null) { continue; } Entry e = oldTable[i]; while (e.next != null) { e = e.next; int index = hash(e.key); if (table[index] == null) { use++; // 创建哨兵节点 table[index] = new Entry<>(null, null, null); } table[index].next = new Entry<>(e.key, e.value, table[index].next); } } } /** * 删除 * * @param key */ public void remove(K key) { int index = hash(key); Entry e = table[index]; if (e == null || e.next == null) { return; } Entry pre; Entry headNode = table[index]; do { pre = e; e = e.next; if (key == e.key) { pre.next = e.next; size--; if (headNode.next == null) use--; return; } } while (e.next != null); } /** * 获取 * * @param key * @return */ public V get(K key) { int index = hash(key); Entry e = table[index]; if (e == null || e.next == null) { return null; } while (e.next != null) { e = e.next; if (key == e.key) { return e.value; } } return null; } }

 

你可能感兴趣的:(数据结构与算法学习,数据结构与算法学习,数据结构与算法学习)