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- 初始值为16,负载因子为0.75,阈值为负载因子*容量
resize()
方法是在hashmap
中的键值对大于阀值时或者初始化时,就调用resize()
方法进行扩容。- 每次扩容,容量都是之前的两倍
- 扩容时有个判断
e.hash & oldCap
是否为零,也就是相当于hash值对数组长度的取余操作,若等于0,则位置不变,若等于1,位置变为原位置加旧容量。
源码如下:
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) { //如果旧容量已经超过最大值,阈值为整数最大值
threshold = Integer.MAX_VALUE;
return oldTab;
}else if ((newCap = oldCap << 1) < MAXIMUM_CAPACITY &&
oldCap >= DEFAULT_INITIAL_CAPACITY)
newThr = oldThr << 1; //没有超过最大值就变为原来的2倍
}
else if (oldThr > 0)
newCap = oldThr;
else {
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 {
Node<K,V> loHead = null, loTail = null;//loHead,loTail 代表扩容后在原位置
Node<K,V> hiHead = null, hiTail = null;//hiHead,hiTail 代表扩容后在原位置+旧容量
Node<K,V> next;
do {
next = e.next;
if ((e.hash & oldCap) == 0) { //判断是否为零,为零赋值到loHead,不为零赋值到hiHead
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; //loHead放在原位置
}
if (hiTail != null) {
hiTail.next = null;
newTab[j + oldCap] = hiHead; //hiHead放在原位置+旧容量
}
}
}
}
}
return newTab;
}
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