HashMap源码(三)
HashMap红黑树转换条件是什么?
以下为HashMap的put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;
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;
// 这里判断节点是否已经转化为红黑树节点
else if (p instanceof TreeNode)
e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value);
else {
for (int binCount = 0; ; ++binCount) {
// 判断下一节点是否为空
if ((e = p.next) == null) {
// 如果是则将下个节点置为当前节点
p.next = newNode(hash, key, value, null);
// TREEIFY_THRESHOLD=8
// 条件一: 判断如果当前bucket的位置链表长度是否大于8
if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st
// 尝试转化红黑树
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;
}
- 以上方法可以看见,若put完节点后,当前链表长度达到8则开始尝试执行treeifyBin方法来转化红黑树。接下来我们看下treeifyBin方法做了什么
final void treeifyBin(Node<K,V>[] tab, int hash) {
int n, index; Node<K,V> e;
// MIN_TREEIFY_CAPACITY=64
// 条件二: 判断当前数组长度是否大于64,若不大于则进行resize操作
if (tab == null || (n = tab.length) < MIN_TREEIFY_CAPACITY)
resize();
else if ((e = tab[index = (n - 1) & hash]) != null) {
// 若满足条件一二,则转化为红黑树结构
TreeNode<K,V> hd = null, tl = null;
do {
// 将所有节点都转化为TreeNode
TreeNode<K,V> p = replacementTreeNode(e, null);
if (tl == null)
hd = p;
else {
p.prev = tl;
tl.next = p;
}
tl = p;
} while ((e = e.next) != null);
if ((tab[index] = hd) != null)
// 转化为红黑树
hd.treeify(tab);
}
}
后续看到此博客,写的更详细:https://www.cnblogs.com/wangflower/p/12235595.html
时在中春,阳和方起