HashMap源码于都笔记

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public class HashMap<K,V> extends AbstractMap<K,V>    implements Map<K,V>, Cloneable, Serializable {    private static final long serialVersionUID = 362498820763181265L;    /**     * 默认的大小- 必须是2的次幂     */    static final int DEFAULT_INITIAL_CAPACITY = 1 << 4; // aka 16    /**     * 最大的大小值     * 所以HashMap的大小取值是 2 <= 1<<30之间的2的幂     */    static final int MAXIMUM_CAPACITY = 1 << 30;    /**     * 默认加载因子 加载因子X容量=哈希Map的数据长度大小     */    static final float DEFAULT_LOAD_FACTOR = 0.75f;    static final int TREEIFY_THRESHOLD = 8;    static final int UNTREEIFY_THRESHOLD = 6;    static final int MIN_TREEIFY_CAPACITY = 64;    /**     * 基本的哈希节点 哈希桶数组     */    static class Node<K,V> implements Map.Entry<K,V> {        final int hash;//用来定位数组索引位置        final K key;        V value;        Node<K,V> next;//链表的下一个node        Node(int hash, K key, V value, Node<K,V> next) {            this.hash = hash;            this.key = key;            this.value = value;            this.next = next;        }        public final K getKey()        { return key; }        public final V getValue()      { return value; }        public final String toString() { return key + "=" + value; }          // 哈希函数 是key和value的哈希值按位异或               public final int hashCode() {            return Objects.hashCode(key) ^ Objects.hashCode(value);        }        public final V setValue(V newValue) {            V oldValue = value;            value = newValue;            return oldValue;        }          // 覆写equals函数        public final boolean equals(Object o) {            if (o == this)                return true;            if (o instanceof Map.Entry) {                Map.Entry<?,?> e = (Map.Entry<?,?>)o;                if (Objects.equals(key, e.getKey()) &&                    Objects.equals(value, e.getValue()))                    return true;            }            return false;        }    }// 计算键值的哈希值    static final int hash(Object key) {      // h = key.hashCode() 为第一步 取hashCode值     // h ^ (h >>> 16)  为第二步 高位参与运算        int h;        return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);    }    static Class<?> comparableClassFor(Object x) {        if (x instanceof Comparable) {            Class<?> c; Type[] ts, as; Type t; ParameterizedType p;            if ((c = x.getClass()) == String.class) // bypass checks                return c;            if ((ts = c.getGenericInterfaces()) != null) {                for (int i = 0; i < ts.length; ++i) {                    if (((t = ts[i]) instanceof ParameterizedType) &&                        ((p = (ParameterizedType)t).getRawType() ==                         Comparable.class) &&                        (as = p.getActualTypeArguments()) != null &&                        as.length == 1 && as[0] == c) // type arg is c                        return c;                }            }        }        return null;    }    @SuppressWarnings({"rawtypes","unchecked"}) // for cast to Comparable    static int compareComparables(Class<?> kc, Object k, Object x) {        return (x == null || x.getClass() != kc ? 0 :                ((Comparable)k).compareTo(x));    }    static final int tableSizeFor(int cap) {        int n = cap - 1;        n |= n >>> 1;        n |= n >>> 2;        n |= n >>> 4;        n |= n >>> 8;        n |= n >>> 16;        return (n < 0) ? 1 : (n >= MAXIMUM_CAPACITY) ? MAXIMUM_CAPACITY : n + 1;    }//哈希Map的表    transient Node<K,V>[] table;//保存哈希Map的数据元素    transient Set<Map.Entry<K,V>> entrySet;//哈希Map的数据长度大小    transient int size;    transient int modCount;   // 所能容纳的key-value对极限     int threshold;    //哈希Map的加载因子    final float loadFactor;    public HashMap(int initialCapacity, float loadFactor) {        if (initialCapacity < 0)            throw new IllegalArgumentException("Illegal initial capacity: " +                                               initialCapacity);        if (initialCapacity > MAXIMUM_CAPACITY)            initialCapacity = MAXIMUM_CAPACITY;        if (loadFactor <= 0 || Float.isNaN(loadFactor))            throw new IllegalArgumentException("Illegal load factor: " +                                               loadFactor);        this.loadFactor = loadFactor;        this.threshold = tableSizeFor(initialCapacity);    }    public HashMap(int initialCapacity) {        this(initialCapacity, DEFAULT_LOAD_FACTOR);    }    public HashMap() {        this.loadFactor = DEFAULT_LOAD_FACTOR; // all other fields defaulted    }    public HashMap(Map<? extends K, ? extends V> m) {        this.loadFactor = DEFAULT_LOAD_FACTOR;        putMapEntries(m, false);    }    final void putMapEntries(Map<? extends K, ? extends V> m, boolean evict) {        int s = m.size();        if (s > 0) {            if (table == null) { // pre-size                float ft = ((float)s / loadFactor) + 1.0F;                int t = ((ft < (float)MAXIMUM_CAPACITY) ?                         (int)ft : MAXIMUM_CAPACITY);                if (t > threshold)                    threshold = tableSizeFor(t);            }else if (s > threshold)                resize();//添加的哈希Map的数据长度大于临界值,重新设置长度大小            for (Map.Entry<? extends K, ? extends V> e : m.entrySet()) {                K key = e.getKey();                V value = e.getValue();                putVal(hash(key), key, value, false, evict);            }        }    }    public int size() {        return size;    }    public boolean isEmpty() {        return size == 0;    }   //获取给定Key值的Value    public V get(Object key) {        Node<K,V> e;        return (e = getNode(hash(key), key)) == null ? null : e.value;    }    // 在哈希表中找到对应Key的Value    final Node<K,V> getNode(int hash, Object key) {        Node<K,V>[] tab; Node<K,V> first, e; int n; K k;        if ((tab = table) != null && (n = tab.length) > 0 &&            (first = tab[(n - 1) & hash]) != null) {            if (first.hash == hash && // always check first node                ((k = first.key) == key || (key != null && key.equals(k))))                return first;            if ((e = first.next) != null) {                if (first instanceof TreeNode)                    return ((TreeNode<K,V>)first).getTreeNode(hash, key);                do {                    if (e.hash == hash &&                        ((k = e.key) == key || (key != null && key.equals(k))))                        return e;                } while ((e = e.next) != null);            }        }        return null;    }    public boolean containsKey(Object key) {        return getNode(hash(key), key) != null;    }    public V put(K key, V value) {        return putVal(hash(key), key, value, false, true);    }    final V putVal(int hash, K key, V value, boolean onlyIfAbsent,                   boolean evict) {                   /**                    ①.判断键值对数组table[i]是否为空或为null,否则执行resize()进行扩容;②.根据键值key计算hash值得到插入的数组索引i,如果table[i]==null,直接新建节点添加,转向⑥,如果table[i]不为空,转向③;③.判断table[i]的首个元素是否和key一样,如果相同直接覆盖value,否则转向④,这里的相同指的是hashCode以及equals;④.判断table[i] 是否为treeNode,即table[i] 是否是红黑树,如果是红黑树,则直接在树中插入键值对,否则转向⑤;⑤.遍历table[i],判断链表长度是否大于8,大于8的话把链表转换为红黑树,在红黑树中执行插入操作,否则进行链表的插入操作;遍历过程中若发现key已经存在直接覆盖value即可;⑥.插入成功后,判断实际存在的键值对数量size是否超多了最大容量threshold,如果超过,进行扩容。                    */        Node<K,V>[] tab; Node<K,V> p; int n, i;        // 步骤①:tab为空则创建        if ((tab = table) == null || (n = tab.length) == 0)            n = (tab = resize()).length;        // 步骤②:计算index,并对null做处理        if ((p = tab[i = (n - 1) & hash]) == null)            tab[i] = newNode(hash, key, value, null);        else {            Node<K,V> e; K k;          // 步骤③:节点key存在,直接覆盖value            if (p.hash == hash &&                ((k = p.key) == key || (key != null && key.equals(k))))                e = p;                // 步骤④:判断该链为红黑树            else if (p instanceof TreeNode)                e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value);                // 步骤⑤:该链为链表            else {                for (int binCount = 0; ; ++binCount) {                    if ((e = p.next) == null) {                        p.next = newNode(hash, key, value, null);                        //链表长度大于8转换为红黑树进行处理                        if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st                            treeifyBin(tab, hash);                        break;                    }                    // key已经存在直接覆盖value                    if (e.hash == hash &&                        ((k = e.key) == key || (key != null && key.equals(k))))                        break;                    p = e;                }            }            if (e != null) { // existing mapping for key                V oldValue = e.value;                if (!onlyIfAbsent || oldValue == null)                    e.value = value;                afterNodeAccess(e);                return oldValue;            }        }        ++modCount;        // 步骤⑥:超过最大容量 就扩容        if (++size > threshold)            resize();        afterNodeInsertion(evict);        return null;    }    final Node<K,V>[] resize() {        Node<K,V>[] oldTab = table;//引用扩容前的Entry数组        int oldCap = (oldTab == null) ? 0 : oldTab.length;        int oldThr = threshold;        int newCap, newThr = 0;        if (oldCap > 0) {        // 超过最大值就不再扩充了,就只好随你碰撞去吧            if (oldCap >= MAXIMUM_CAPACITY) {                threshold = Integer.MAX_VALUE;                return oldTab;            }            // 没超过最大值,就扩充为原来的2倍            else if ((newCap = oldCap << 1) < MAXIMUM_CAPACITY &&                     oldCap >= DEFAULT_INITIAL_CAPACITY)                newThr = oldThr << 1; // double threshold        }        else if (oldThr > 0) // initial capacity was placed in threshold            newCap = oldThr;        else {               // zero initial threshold signifies using defaults            newCap = DEFAULT_INITIAL_CAPACITY;            newThr = (int)(DEFAULT_LOAD_FACTOR * DEFAULT_INITIAL_CAPACITY);        }        // 计算新的resize上限        if (newThr == 0) {            float ft = (float)newCap * loadFactor;            newThr = (newCap < MAXIMUM_CAPACITY && ft < (float)MAXIMUM_CAPACITY ?                      (int)ft : Integer.MAX_VALUE);        }        threshold = newThr;        @SuppressWarnings({"rawtypes","unchecked"})            Node<K,V>[] newTab = (Node<K,V>[])new Node[newCap];        table = newTab;        if (oldTab != null) {        // 把每个bucket都移动到新的buckets中            for (int j = 0; j < oldCap; ++j) {                Node<K,V> e;                if ((e = oldTab[j]) != null) {                    oldTab[j] = null;                    if (e.next == null)                        newTab[e.hash & (newCap - 1)] = e;                    else if (e instanceof TreeNode)                        ((TreeNode<K,V>)e).split(this, newTab, j, oldCap);                    else { // 链表优化重hash的代码块                        Node<K,V> loHead = null, loTail = null;                        Node<K,V> hiHead = null, hiTail = null;                        Node<K,V> next;                        do {                            next = e.next;                             // 原索引                            if ((e.hash & oldCap) == 0) {                                if (loTail == null)                                    loHead = e;                                else                                    loTail.next = e;                                loTail = e;                            }                            // 原索引+oldCap                            else {                                if (hiTail == null)                                    hiHead = e;                                else                                    hiTail.next = e;                                hiTail = e;                            }                        } while ((e = next) != null);                        // 原索引放到bucket里                        if (loTail != null) {                            loTail.next = null;                            newTab[j] = loHead;                        }                         // 原索引+oldCap放到bucket里                        if (hiTail != null) {                            hiTail.next = null;                            newTab[j + oldCap] = hiHead;                        }                    }                }            }        }        return newTab;    }   ...   ...   ...}

参考资料

美团点评技术团队 Java 8系列之重新认识HashMap

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