先看类图结构:
HashMap
HashMap 实现了Map接口,扩展了AbstractMap抽象类
1.成员变量
// HashMap的默认初始容量,即hash表桶的初始个数,即数组初始长度
static final int DEFAULT_INITIAL_CAPACITY = 1 << 4; // aka 16
// HashMap的最大容量,即hash表桶的最大个数,即数组最大长度
static final int MAXIMUM_CAPACITY = 1 << 30;
// HashMap的默认负载因子
// threshold = 负载因子 * 容量
static final float DEFAULT_LOAD_FACTOR = 0.75f;
// 链表升级为红黑树的临界值
static final int TREEIFY_THRESHOLD = 8;
// 链表降级为红黑树的临界值
static final int UNTREEIFY_THRESHOLD = 6;
static final int MIN_TREEIFY_CAPACITY = 64;
// HashMap真正用于存放元素的数组
transient Node<K,V>[] table;
// hash表元素总个数
transient int size;
// 临界值
int threshold;
// 负载因子
final float loadFactor;
2.HashMap方法暂不罗列
HashMap内部类Node
1.成员变量
final int hash;
final K key;
V value;
Node<K,V> next;
2.Entry方法暂不罗列
HashMap内部类TreeNode
1.成员变量
TreeNode<K,V> parent; // red-black tree links
TreeNode<K,V> left;
TreeNode<K,V> right;
TreeNode<K,V> prev; // needed to unlink next upon deletion
boolean red;
正片开始
一、新建HashMap
- Test.java (测试类)
HashMap map = new HashMap(); < — — — — — a.进去
String java = new String("java");
String version7 = new String("1.7");
map.put(java, version7);
- HashMap
public HashMap() {
// DEFAULT_LOAD_FACTOR == 0.75f
this.loadFactor = DEFAULT_LOAD_FACTOR; // all other fields defaulted
}
二、调用put()方法
- Test.java (测试类)
HashMap map = new HashMap();
String java = new String("java");
String version7 = new String("1.7");
map.put(java, version7); < — — — — — a.进去
- HashMap
// 参数:key = java; value = version7
public V put(K key, V value) {
// 先调用hash(key) < — — — — — b.进去
return putVal(hash(key), key, value, false, true);
}
- HashMap
// 该方法传入key对象,得到它的hash值
// 参数 key = java
static final int hash(Object key) {
int h;
// key != null; 三目运算得到(h = key.hashCode())
// (h = key.hashCode()) ^ (h >>> 16)
// key的hashCode,key的hashCode无符号右移16位,两者按位异或
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16); < — — — — — c.返回
}
- HashMap
public V put(K key, V value) {
return putVal(hash(key), key, value, false, true); < — — — — — d.进去
}
- HashMap
// 参数:hash = 刚刚计算的hash值、key = java, value = version7
// onlyIfAbsent = false、evict = true
final V putVal(int hash, K key, V value, boolean onlyIfAbsent, boolean evict) {
Node<K,V>[] tab;
Node<K,V> p; int n, i;
// 现在table == null,所以进入if
if ((tab = table) == null || (n = tab.length) == 0)
// 执行resize()
n = (tab = resize()).length; < — — — — — e.进去
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;
}
- HashMap
final Node<K,V>[] resize() {
// oldTab = table = null
Node<K,V>[] oldTab = table;
// oldCap = 0
int oldCap = (oldTab == null) ? 0 : oldTab.length;
// oldThr = 0
int oldThr = threshold;
int newCap, newThr = 0;
// 跳过if
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
}
// 跳过if
else if (oldThr > 0) // initial capacity was placed in threshold
newCap = oldThr;
// 进入该else,赋值
else { // zero initial threshold signifies using defaults
// DEFAULT_INITIAL_CAPACITY == 1 << 4
newCap = DEFAULT_INITIAL_CAPACITY;
// newThr = 0.75 * 16 = 12
newThr = (int)(DEFAULT_LOAD_FACTOR * DEFAULT_INITIAL_CAPACITY);
}
// 跳过if
if (newThr == 0) {
float ft = (float)newCap * loadFactor;
newThr = (newCap < MAXIMUM_CAPACITY && ft < (float)MAXIMUM_CAPACITY ?
(int)ft : Integer.MAX_VALUE);
}
// threshold = 12
threshold = newThr;
// 新建长度为16的Node数组,赋给table
@SuppressWarnings({"rawtypes","unchecked"})
Node<K,V>[] newTab = (Node<K,V>[])new Node[newCap];
table = newTab;
// 跳过if
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; < — — — — — f.返回
}
- HashMap
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;
// index = (n - 1) & hash
// 现在tab[index] == null,所以进入if
if ((p = tab[i = (n - 1) & hash]) == null)
// 执行newNode
tab[i] = newNode(hash, key, value, null); <— — — — — —g.进入
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;
}
- HashMap
// 创建一个非树Node
Node<K,V> newNode(int hash, K key, V value, Node<K,V> next) {
return new Node<>(hash, key, value, next); <— — — — — —h.返回
}
- HashMap
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;
// size+1
if (++size > threshold)
resize();
afterNodeInsertion(evict);
// 返回
return null;
}
- Test.java (测试类)
HashMap再次添加元素,假设这次hash冲突,同时假设插入的桶触发升级为树,而且触发扩容。这样可以一次性分析
Object r = map.put(java2, version8); < — — — — — i.进去
- HashMap
final V putVal(int hash, K key, V value, boolean onlyIfAbsent, boolean evict) {
Node<K,V>[] tab;
Node<K,V> p; int n, i;
// table != null 且 tab.length != 0
// 跳过if
if ((tab = table) == null || (n = tab.length) == 0)
n = (tab = resize()).length;
// 假设此处发生hash冲突,tab[i = (n - 1) & hash]) != null
// 跳过if
if ((p = tab[i = (n - 1) & hash]) == null)
tab[i] = newNode(hash, key, value, null);
// 进入else
else {
Node<K,V> e; K k;
// 如果插入元素的hash值 == 目标桶上元素的hash值,且者两者相同
// 则替换桶上元素为插入元素
// 此处跳过if
if (p.hash == hash &&
((k = p.key) == key || (key != null && key.equals(k))))
e = p;
// 现在目标桶上元素不是TreeNode子类
// 跳过else if
else if (p instanceof TreeNode)
e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value);
// 进入else
else {
// 通过无限循环和e = p.next,遍历该桶上的链表元素
for (int binCount = 0; ; ++binCount) {
// 如果链表元素next指针为null
if ((e = p.next) == null) {
// 生成新Node,链表元素next指向新Node,新Node入链
p.next = newNode(hash, key, value, null);
// 如果该桶上的链表长度 >= TREEIFY_THRESHOLD - 1
if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st
// 触发把该桶的链表tree化,链表变红黑树
treeifyBin(tab, hash); <— — — — — —j.进入
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;
// size+1
if (++size > threshold)
resize();
afterNodeInsertion(evict);
// 返回
return null;
}
- HashMap
// 该函数把一个链表变成红黑树
// 参数tab就是整个Node数组,hash是插入元素的hash值
final void treeifyBin(Node<K,V>[] tab, int hash) {
int n, index;
Node<K,V> e;
// 此处tab != null
// 假设tab长度已经 >= MIN_TREEIFY_CAPACITY,跳过if,不需要扩容
if (tab == null || (n = tab.length) < MIN_TREEIFY_CAPACITY)
resize();
// 那么进入else if;tab[index = (n - 1) & hash] != null是必然满足的
// 赋给e该桶第一个元素(链表头)
else if ((e = tab[index = (n - 1) & hash]) != null) {
// hd、tl为TreeNode指针
TreeNode<K,V> hd = null, tl = null;
do {
// 循环 1️⃣:把e从Node变成TreeNode节点p,仅此而已
// 循环 2️⃣:把e2从Node变成TreeNode节点p2
TreeNode<K,V> p = replacementTreeNode(e, null);
// 循环 1️⃣:现在tl == null,进入if
// 循环 2️⃣:现在tl != null, tl是p,所以跳过if
if (tl == null)
// 循环1️⃣:hd 指向p
hd = p;
// 循环 2️⃣:进入else
else {
// 循环 2️⃣:p2的prev指向tl,也就是p
p.prev = tl;
// 循环 2️⃣:tl(也就是p)的next指向p2
tl.next = p;
}
// 循环 1️⃣:tl指向p
// 循环 2️⃣:tl指向p2
tl = p;
// 循环 1️⃣:找e的下一个节点e2,开始循环第二次
// 循环 2️⃣:找e的下一个节点e3,开始循环第三次...
} while ((e = e.next) != null);
// 循环结束,现在的工作就是把原来的单向链表变成了一个双向链表
// 该双向链表的元素是TreeNode
// hd指向指向头节点,tl指向尾节点
// 如果头节点不为空,进入if
// 把该桶赋给hd头节点
if ((tab[index] = hd) != null)
// 这里开始真正tree化
hd.treeify(tab); <— — — — — —k.进入
}
}
- HashMap.TreeNode
剩下就是红黑树算法啦,暂时没时间分析了,下回分解
// 参数:tab就是整个数组
final void treeify(Node<K,V>[] tab) {
TreeNode<K,V> root = null;
// 遍历该双向链表:
// x就是hd头部
for (TreeNode<K,V> x = this, next; x != null; x = next) {
next = (TreeNode<K,V>)x.next;
x.left = x.right = null;
if (root == null) {
x.parent = null;
x.red = false;
root = x;
}
else {
K k = x.key;
int h = x.hash;
Class<?> kc = null;
for (TreeNode<K,V> p = root;;) {
int dir, ph;
K pk = p.key;
if ((ph = p.hash) > h)
dir = -1;
else if (ph < h)
dir = 1;
else if ((kc == null &&
(kc = comparableClassFor(k)) == null) ||
(dir = compareComparables(kc, k, pk)) == 0)
dir = tieBreakOrder(k, pk);
TreeNode<K,V> xp = p;
if ((p = (dir <= 0) ? p.left : p.right) == null) {
x.parent = xp;
if (dir <= 0)
xp.left = x;
else
xp.right = x;
root = balanceInsertion(root, x);
break;
}
}
}
}
moveRootToFront(tab, root);
}
- HashMap
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);
// 进入else
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); <— — — — — —j.进入
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;
// size+1
if (++size > threshold)
// 现在开始扩容
resize(); <— — — — — —l.进入
afterNodeInsertion(evict);
return null;
}
- HashMap
final Node<K,V>[] resize() {
Node<K,V>[] oldTab = table;
// 假设oldCap = 64
int oldCap = (oldTab == null) ? 0 : oldTab.length;
int oldThr = threshold;
int newCap, newThr = 0;
// 进入if
if (oldCap > 0) {
// 跳过if
if (oldCap >= MAXIMUM_CAPACITY) {
threshold = Integer.MAX_VALUE;
return oldTab;
}
// 进入else if
// oldCap*2后,小于MAXIMUM_CAPACITY
//并且oldCap 大于 DEFAULT_INITIAL_CAPACITY(64)
else if ((newCap = oldCap << 1) < MAXIMUM_CAPACITY &&
oldCap >= DEFAULT_INITIAL_CAPACITY)
// threshhold * 2
newThr = oldThr << 1; // double threshold
}
// 进入if
else if (oldThr > 0) // initial capacity was placed in threshold
//
newCap = oldThr;
// 跳过该else
else { // zero initial threshold signifies using defaults
newCap = DEFAULT_INITIAL_CAPACITY;
newThr = (int)(DEFAULT_LOAD_FACTOR * DEFAULT_INITIAL_CAPACITY);
}
// 跳过if
if (newThr == 0) {
float ft = (float)newCap * loadFactor;
newThr = (newCap < MAXIMUM_CAPACITY && ft < (float)MAXIMUM_CAPACITY ?
(int)ft : Integer.MAX_VALUE);
}
threshold = newThr;
// 新建Node数组,赋给table
@SuppressWarnings({"rawtypes","unchecked"})
Node<K,V>[] newTab = (Node<K,V>[])new Node[newCap];
table = newTab;
// 进入if
if (oldTab != null) {
// 遍历所有桶
for (int j = 0; j < oldCap; ++j) {
Node<K,V> e;
// 如果该桶不为null,则赋给e该桶
if ((e = oldTab[j]) != null) {
// 该桶置为空
oldTab[j] = null;
// 如果e的next是null
if (e.next == null)
// 则把e放到新数组就OK
newTab[e.hash & (newCap - 1)] = e;
// 如果e是一个TreeNode,证明后面跟了一个红黑树
else if (e instanceof TreeNode)
// 这暂未解析
((TreeNode<K,V>)e).split(this, newTab, j, oldCap);
// 否则e是一个链表的头节点
// 下面的操作把原来的链表搬家到新数组,过程中保障顺序
// 暂未详细分析
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; < — — — — — f.返回
}
以后有空再来补充:
- 红黑树:链表变红黑树算法
- 扩容:过程中保证链表顺序不变