d4eac2fdcd
删除槽中所有元素后,hash表占用变量use需要减1。
179 lines
4.0 KiB
Java
179 lines
4.0 KiB
Java
/**
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* @Description:散列表实现
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* @Author: Hoda
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* @Date: Create in 2019-08-07
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* @Modified By:
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* @Modified Date:
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*/
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public class HashTable<K, V> {
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/**
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* 散列表默认长度
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*/
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private static final int DEFAULT_INITAL_CAPACITY = 8;
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/**
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* 装载因子
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*/
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private static final float LOAD_FACTOR = 0.75f;
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/**
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* 初始化散列表数组
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*/
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private Entry<K, V>[] table;
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/**
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* 实际元素数量
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*/
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private int size = 0;
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/**
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* 散列表索引数量
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*/
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private int use = 0;
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public HashTable() {
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table = (Entry<K, V>[]) new Entry[DEFAULT_INITAL_CAPACITY];
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}
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static class Entry<K, V> {
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K key;
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V value;
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Entry<K, V> next;
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Entry(K key, V value, Entry<K, V> next) {
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this.key = key;
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this.value = value;
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this.next = next;
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}
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}
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/**
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* 新增
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*
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* @param key
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* @param value
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*/
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public void put(K key, V value) {
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int index = hash(key);
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// 位置未被引用,创建哨兵节点
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if (table[index] == null) {
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table[index] = new Entry<>(null, null, null);
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}
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Entry<K, V> tmp = table[index];
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// 新增节点
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if (tmp.next == null) {
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tmp.next = new Entry<>(key, value, null);
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size++;
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use++;
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// 动态扩容
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if (use >= table.length * LOAD_FACTOR) {
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resize();
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}
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}
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// 解决散列冲突,使用链表法
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else {
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do {
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tmp = tmp.next;
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// key相同,覆盖旧的数据
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if (tmp.key == key) {
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tmp.value = value;
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return;
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}
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} while (tmp.next != null);
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Entry<K, V> temp = table[index].next;
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table[index].next = new Entry<>(key, value, temp);
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size++;
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}
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}
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/**
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* 散列函数
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* <p>
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* 参考hashmap散列函数
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*
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* @param key
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* @return
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*/
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private int hash(Object key) {
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int h;
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return (key == null) ? 0 : ((h = key.hashCode()) ^ (h >>> 16)) % table.length;
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}
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/**
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* 扩容
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*/
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private void resize() {
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Entry<K, V>[] oldTable = table;
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table = (Entry<K, V>[]) new Entry[table.length * 2];
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use = 0;
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for (int i = 0; i < oldTable.length; i++) {
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if (oldTable[i] == null || oldTable[i].next == null) {
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continue;
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}
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Entry<K, V> e = oldTable[i];
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while (e.next != null) {
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e = e.next;
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int index = hash(e.key);
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if (table[index] == null) {
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use++;
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// 创建哨兵节点
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table[index] = new Entry<>(null, null, null);
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}
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table[index].next = new Entry<>(e.key, e.value, table[index].next);
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}
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}
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}
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/**
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* 删除
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*
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* @param key
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*/
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public void remove(K key) {
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int index = hash(key);
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Entry e = table[index];
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if (e == null || e.next == null) {
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return;
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}
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Entry pre;
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Entry<K, V> headNode = table[index];
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do {
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pre = e;
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e = e.next;
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if (key == e.key) {
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pre.next = e.next;
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size--;
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if (headNode.next == null) use--;
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return;
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}
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} while (e.next != null);
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}
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/**
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* 获取
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*
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* @param key
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* @return
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*/
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public V get(K key) {
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int index = hash(key);
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Entry<K, V> e = table[index];
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if (e == null || e.next == null) {
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return null;
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}
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while (e.next != null) {
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e = e.next;
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if (key == e.key) {
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return e.value;
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}
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}
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return null;
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}
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}
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