幾個重要的變量:
static final int DEFAULT_INITIAL_CAPACITY = 1 << 4;//初始大小
static final int MAXIMUM_CAPACITY = 1 << 30;//map中最多可以容納的數(shù)量
static final float DEFAULT_LOAD_FACTOR = 0.75f; //與當(dāng)前容量大小決定擴(kuò)容極限值各吨,如默認(rèn)的容量(16),默認(rèn)的擴(kuò)容極限值(16 * 0.75 = 12)啃洋;如果size達(dá)到12時,進(jìn)行下次擴(kuò)容篡悟,容量和極限值均擴(kuò)容成原來的兩倍致板,32,24;
構(gòu)造方法
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);
}
put(K key, V value)
public V put(K key, V value) {
return putVal(hash(key), key, value, false, true);
}
//對key進(jìn)行hash
static final int hash(Object key) {
int h;
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
}
transient Node<K,V>[] table; //Node是單向鏈表的節(jié)點(diǎn)坊夫,When allocated, length is always a power of two.
// @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; //resize(): Initializes or doubles table size.此處時初始化
if ((p = tab[i = (n - 1) & hash]) == null)
tab[i] = newNode(hash, key, value, null); //如果目標(biāo)index目前的元素是空的則直接賦值就行
else {
Node<K,V> e; K k;
if (p.hash == hash &&
((k = p.key) == key || (key != null && key.equals(k))))
e = p; //key已存在map中砖第,更新值
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); //以鏈表的形式將同一index的數(shù)據(jù)組織起來
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;
}
final Node<K, V>[] resize() {
...
//初始大小為static final int DEFAULT_INITIAL_CAPACITY = 1 << 4;
//計(jì)算得出新數(shù)組的大小撤卢,成倍增長 newThr = oldThr << 1
//如果達(dá)到MAXIMUM_CAPACITY,其他不變梧兼,threshold = Integer.MAX_VALUE放吩,return原數(shù)組
Node<K,V>[] newTab = (Node<K,V>[])new Node[newCap];
table = newTab; //更新成員變量的值
...
//將舊數(shù)組的數(shù)據(jù)按序遷移至新數(shù)組
}
put方法中含有的信息較多,可以看到HashMap內(nèi)部是數(shù)組+鏈表的形式來存儲數(shù)據(jù)的羽杰,每個數(shù)據(jù)被組裝成鏈表的節(jié)點(diǎn)渡紫。
get(Object key)
public V get(Object key) {
Node<K,V> e;
return (e = getNode(hash(key), key)) == null ? null : e.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) { //取到數(shù)組中對應(yīng)index的鏈表的首節(jié)點(diǎn)
if (first.hash == hash && // 從首節(jié)點(diǎn)開始遍歷取出目標(biāo)元素
((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;
}
如果判斷元素是否是目標(biāo)元素:node.hash == hash && node.key == key || (key != null && key.equals(k))
remove(Object key)
public boolean remove(Object key, Object value) {
return removeNode(hash(key), key, value, true, true) != null;
}
//return the node, or null if none
final Node<K,V> removeNode(int hash, Object key, Object value,
boolean matchValue, boolean movable) {
Node<K,V>[] tab; Node<K,V> p; int n, index;
if ((tab = table) != null && (n = tab.length) > 0 &&
(p = tab[index = (n - 1) & hash]) != null) { //通過hash快速找到對應(yīng)的index
Node<K,V> node = null, e; K k; V v;
if (p.hash == hash &&
((k = p.key) == key || (key != null && key.equals(k))))
node = p;
else if ((e = p.next) != null) {
if (p instanceof TreeNode)
node = ((TreeNode<K,V>)p).getTreeNode(hash, key);
else {
do {
if (e.hash == hash &&
((k = e.key) == key ||
(key != null && key.equals(k)))) {
node = e;
break;
}
p = e;
} while ((e = e.next) != null);
}
} //遍歷index中的鏈表元素,找到目標(biāo)節(jié)點(diǎn)
if (node != null && (!matchValue || (v = node.value) == value ||
(value != null && value.equals(v)))) {
if (node instanceof TreeNode)
((TreeNode<K,V>)node).removeTreeNode(this, tab, movable);
else if (node == p)
tab[index] = node.next;
else
p.next = node.next;
++modCount;
--size;
afterNodeRemoval(node);
return node;
}//將目標(biāo)節(jié)點(diǎn)從鏈表中移除
}
return null;
}
replace(K key, V value)
public V replace(K key, V value) {
Node<K,V> e;
if ((e = getNode(hash(key), key)) != null) {
V oldValue = e.value;
e.value = value;
afterNodeAccess(e);
return oldValue;
}
return null;
}
//well考赛,主要分析下面這個方法
public boolean replace(K key, V oldValue, V newValue) {
Node<K,V> e; V v;
//getNode()在get()方法中分析過了
if ((e = getNode(hash(key), key)) != null &&
((v = e.value) == oldValue || (v != null && v.equals(oldValue)))) {
e.value = newValue; //替換目標(biāo)節(jié)點(diǎn)的值
afterNodeAccess(e);
return true;
}
return false;
}
clear()
public void clear() {
Node<K,V>[] tab;
modCount++;
if ((tab = table) != null && size > 0) {
size = 0;
for (int i = 0; i < tab.length; ++i)
tab[i] = null; //清空數(shù)組即可
}
}
Q:為什么擴(kuò)容因子是0.75惕澎?