HashMap数据结构分析(jdk8)

看了下HashMap的源码，做下记录，首先还是先从流程图开始

下面用代码分析下方法

    final V putVal(int hash, K key, V value, boolean onlyIfAbsent,
                   boolean evict) {
        Node<K,V>[] tab; Node<K,V> p; int n, i;
        //未初始化
        if ((tab = table) == null || (n = tab.length) == 0)
            n = (tab = resize()).length;
        //该索引处节点无值
        if ((p = tab[i = (n - 1) & hash]) == null)
            tab[i] = newNode(hash, key, value, null);
        //该节点处有值
        else {
            Node<K,V> e; K k;
            //和该处节点的 hash 相同并且 key相同
            if (p.hash == hash &&
                ((k = p.key) == key || (key != null && key.equals(k))))
                e = p;
            //是红黑树节点
            else if (p instanceof TreeNode)
                e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value);
            //是链表
            else {
                for (int binCount = 0; ; ++binCount) {
                    //尾部节点
                    if ((e = p.next) == null) {
                        //添加到尾部
                        p.next = newNode(hash, key, value, null);
                        //大于等于7 转为树节点
                        if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st
                            treeifyBin(tab, hash);
                        break;
                    }
                    //如果链表不是尾部节点，并且是否遇到了key和hash都相同的
                    if (e.hash == hash &&
                        ((k = e.key) == key || (key != null && key.equals(k))))
                        break;
                    p = e;
                }
            }
            // 找到了 key和value都相同的节点
            if (e != null) { // existing mapping for key
                V oldValue = e.value;
                // value不为null 并且 onlyIfAbsent为false 就重新赋下值
                if (!onlyIfAbsent || oldValue == null)
                    e.value = value;
                // 一个待实现的方法，hashMap无用
                afterNodeAccess(e);
                // 结束
                return oldValue;
            }
        }
        //结构更改的计数，为了在迭代中快速判断是否被修改了 而抛出异常
        ++modCount;
        // 长度++，扩容阈值
        if (++size > threshold)
            resize();
        //一个待实现的方法，hashMap无用
        afterNodeInsertion(evict);
        return null;
    }


    //初始化和扩容
    final Node<K,V>[] resize() {
        Node<K,V>[] oldTab = table;
        //旧容量
        int oldCap = (oldTab == null) ? 0 : oldTab.length;
        //旧阈值
        int oldThr = threshold;
        int newCap, newThr = 0;
        if (oldCap > 0) {
            //旧容量已经是最大值了，就不扩容了，并且把阈值也调到最大
            if (oldCap >= MAXIMUM_CAPACITY) {
                threshold = Integer.MAX_VALUE;
                return oldTab;
            }
            //新容量为旧容量*2 并且小于最大值，且旧容量大于最小的初始化容量
            else if ((newCap = oldCap << 1) < MAXIMUM_CAPACITY &&
                     oldCap >= DEFAULT_INITIAL_CAPACITY)
                //新阈值也为旧阈值*2
                newThr = oldThr << 1; 
        }
        //旧阈值不为0，新的容量就是旧的阈值
        else if (oldThr > 0) // initial capacity was placed in threshold
            newCap = oldThr;
        //两个值都是0，此时是初始化代码
        else {            
            newCap = DEFAULT_INITIAL_CAPACITY;
            newThr = (int)(DEFAULT_LOAD_FACTOR * DEFAULT_INITIAL_CAPACITY);
        }
        //新阈值为0时 重新计算
        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;
        //数据从旧table复制到新table
        if (oldTab != null) {
            //从低到高复制
            for (int j = 0; j < oldCap; ++j) {
                Node<K,V> e;
                if ((e = oldTab[j]) != null) {
                    oldTab[j] = null;
                    //单纯一个Node对象结构，直接复制
                    if (e.next == null)
                        newTab[e.hash & (newCap - 1)] = e;
                    //红黑树复制
                    else if (e instanceof TreeNode)
                        ((TreeNode<K,V>)e).split(this, newTab, j, oldCap);
                    //链表复制
                    else { // preserve order
                        //把原始的链表拆成两个，判断标准就是 hash& oldCap ==0 
                        Node<K,V> loHead = null, loTail = null;
                        Node<K,V> hiHead = null, hiTail = null;
                        Node<K,V> next;
                        do {
                            next = e.next;
                            if ((e.hash & oldCap) == 0) {
                                if (loTail == null)
                                    loHead = e;
                                else
                                    loTail.next = e;
                                loTail = e;
                            }
                            else {
                                if (hiTail == null)
                                    hiHead = e;
                                else
                                    hiTail.next = e;
                                hiTail = e;
                            }
                        } while ((e = next) != null);
                        //拆完之后，新table的j位置放lohead
                        if (loTail != null) {
                            loTail.next = null;
                            newTab[j] = loHead;
                        }
                        //拆完后，新table的j+oldCap的位置放hihead
                        if (hiTail != null) {
                            hiTail.next = null;
                            newTab[j + oldCap] = hiHead;
                        }
                    }
                }
            }
        }
        return newTab;
    }