java 1.8 hashmap 源码分析
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1.摘要
java 1.8优化了HashMap代码,主要有hash值计算方法,添加红黑树,resize顺序保证等,下面将一一进行阐述。
2.HashMap简介
HashMap和HashTable的区别在于hashtable是线程安全的,而且不允许有null值,而HashMap允许一个键为null,多个值为null。但是HashTable为遗留类,如果需要线程安全,可以使用性能更高的ConcurrentHashMap(使用了分段锁)。
HashMap还有LinkedHashMap和TreeHashMap两个子类,LinkedHashMap保存数据插入顺序,TreeHashMap会对插入的key进行排序。
HashMap是一个Node数组(哈希桶数组),每个数组的元素是一个链表或者红黑树,默认如果链表的长度超过8会自动转换为红黑树。
3.计算hash值
本质上为三个计算: 求hash值,高位运算,取模运算。
代码为:
//求hash值、高位运算(h=key.hashCode()) ^ (h >>> 16)//取模i = h & (length-1)
4. put方法
思路:哈希桶数组是否为空;通过key.hashCode得到数组下标,判断该哈希桶是否为空;判断该key值在哈希桶中是否存在。
1)判断哈希桶数组是否为空,若是,新建Node,直接跳到8;
2)获取下标,判断该哈希桶是否为空,若是,新建Node,直接跳到8;
3)新建缓存变量Node<K, V> e ;
4)判断该桶的key是否相等,将该Node赋值给e;
5)判断该桶是否为红黑树,如果是,插入e;
6)for循环遍历链表
6.1)没有相同的key,末端添加new Node;
6.2)有相同的key,break;
7)如果e非空,保存e中的旧值,赋值新值,并返回旧值;
8)size增加,并判断是否需要resize。
源码如下:
/** * Associates the specified value with the specified key in this map. * If the map previously contained a mapping for the key, the old * value is replaced. * * @param key key with which the specified value is to be associated * @param value value to be associated with the specified key * @return the previous value associated with <tt>key</tt>, or * <tt>null</tt> if there was no mapping for <tt>key</tt>. * (A <tt>null</tt> return can also indicate that the map * previously associated <tt>null</tt> with <tt>key</tt>.) */ public V put(K key, V value) { return putVal(hash(key), key, value, false, true); } /** * Implements Map.put and related methods * * @param hash hash for key * @param key the key * @param value the value to put * @param onlyIfAbsent if true, don't change existing value * @param evict if false, the table is in creation mode. * @return previous value, or null if none */ final V putVal(int hash, K key, V value, boolean onlyIfAbsent, boolean evict) { Node<K,V>[] tab; Node<K,V> p; int n, i; if ((tab = table) == null || (n = tab.length) == 0) n = (tab = resize()).length; if ((p = tab[i = (n - 1) & hash]) == null) tab[i] = newNode(hash, key, value, null); else { Node<K,V> e; K k; if (p.hash == hash && ((k = p.key) == key || (key != null && key.equals(k)))) e = p; else if (p instanceof TreeNode) e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value); else { for (int binCount = 0; ; ++binCount) { if ((e = p.next) == null) { p.next = newNode(hash, key, value, null); if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st treeifyBin(tab, hash); break; } 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; if (++size > threshold) resize(); afterNodeInsertion(evict); return null; }
5. resize方法
思路:计算newCap,newThr;新建容量为newCap的Node数组;将之前数组的值拷贝到新数组。
要强调的是
1. java 1.7拷贝数组的方法是挨个计算key的hash值对应的下标i,并将相应的Node放到tab[i]的头,这样会导致存放顺序相反。java 1.8中,因为扩容后newCap为oldCap的两倍,在hash值取模后,可能不一样的地方只在newCap的最高位,所以旧数组下标i的元素只可能被分配到i或者i+oldCap的下标中,故,只要新建两个链表,将对应不同下标的值赋给不同的链表,然后将两个链表在赋值给table[i]和table[i+oldCap],就保证了Node的顺序一致性;
2. 在resize往新的链表中插入Node的时候,如果链表的长度大于8,会将链表转为红黑树。
/** * Initializes or doubles table size. If null, allocates in * accord with initial capacity target held in field threshold. * Otherwise, because we are using power-of-two expansion, the * elements from each bin must either stay at same index, or move * with a power of two offset in the new table. * * @return the table */ final Node<K,V>[] resize() { Node<K,V>[] oldTab = table; int oldCap = (oldTab == null) ? 0 : oldTab.length; int oldThr = threshold; int newCap, newThr = 0; if (oldCap > 0) { if (oldCap >= MAXIMUM_CAPACITY) { threshold = Integer.MAX_VALUE; return oldTab; } 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); } 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) { 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 { // preserve order 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); if (loTail != null) { loTail.next = null; newTab[j] = loHead; } if (hiTail != null) { hiTail.next = null; newTab[j + oldCap] = hiHead; } } } } } return newTab; }
参考
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