HashMap 1.8的源码分析二

时间:2023-03-09 17:56:07
HashMap 1.8的源码分析二

hashmap的构造方法:

public HashMap(int initialCapacity, float loadFactor) {
if (initialCapacity < )
throw new IllegalArgumentException("Illegal initial capacity: " +
initialCapacity);
if (initialCapacity > MAXIMUM_CAPACITY)
initialCapacity = MAXIMUM_CAPACITY;
if (loadFactor <= || 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);
}
 /**
* Constructs an empty <tt>HashMap</tt> with the default initial capacity
* (16) and the default load factor (0.75).
*/
public HashMap() {
this.loadFactor = DEFAULT_LOAD_FACTOR; // all other fields defaulted
}
    /**
* Constructs a new <tt>HashMap</tt> with the same mappings as the
* specified <tt>Map</tt>. The <tt>HashMap</tt> is created with
* default load factor (0.75) and an initial capacity sufficient to
* hold the mappings in the specified <tt>Map</tt>.
*
* @param m the map whose mappings are to be placed in this map
* @throws NullPointerException if the specified map is null
*/
public HashMap(Map<? extends K, ? extends V> m) {
this.loadFactor = DEFAULT_LOAD_FACTOR;
putMapEntries(m, false);
}

总共有四个构造方法:

// 默认构造函数。
HashMap() // 指定“容量大小”的构造函数
HashMap(int capacity) // 指定“容量大小”和“加载因子”的构造函数
HashMap(int capacity, float loadFactor) // 包含“子Map”的构造函数
HashMap(Map<? extends K, ? extends V> map)

扩容方法每次都是2次方的形式扩容:

  /**
* Returns a power of two size for the given target capacity.
*/
static final int tableSizeFor(int cap) {
int n = cap - ;
n |= n >>> ;
n |= n >>> ;
n |= n >>> ;
n |= n >>> ;
n |= n >>> ;
return (n < ) ? : (n >= MAXIMUM_CAPACITY) ? MAXIMUM_CAPACITY : n + ;
}

hashmap的成员变量:

  /**
* The table, initialized on first use, and resized as
* necessary. When allocated, length is always a power of two.
* (We also tolerate length zero in some operations to allow
* bootstrapping mechanics that are currently not needed.)
*/
transient Node<K,V>[] table; /**
* Holds cached entrySet(). Note that AbstractMap fields are used
* for keySet() and values().
*/
transient Set<Map.Entry<K,V>> entrySet; /**
* The number of key-value mappings contained in this map.
*/
transient int size; /**
* The number of times this HashMap has been structurally modified
* Structural modifications are those that change the number of mappings in
* the HashMap or otherwise modify its internal structure (e.g.,
* rehash). This field is used to make iterators on Collection-views of
* the HashMap fail-fast. (See ConcurrentModificationException).
*/
transient int modCount; /**
* The next size value at which to resize (capacity * load factor).
*
* @serial
*/
// (The javadoc description is true upon serialization.
// Additionally, if the table array has not been allocated, this
// field holds the initial array capacity, or zero signifying
// DEFAULT_INITIAL_CAPACITY.)
int threshold; /**
* The load factor for the hash table.
*
* @serial
*/
final float loadFactor;

添加方法:

  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) == )
n = (tab = resize()).length;
if ((p = tab[i = (n - ) & 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 = ; ; ++binCount) {
if ((e = p.next) == null) {
p.next = newNode(hash, key, value, null);
if (binCount >= TREEIFY_THRESHOLD - ) // -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;
}

首先计算key在table中的位置,如果hash不重复,就在后面添加,就扩容,如果重复了,就在链表中添加,如果链表的长度超过了8,那么就会变成红黑树,

 public V remove(Object key) {
Node<K,V> e;
return (e = removeNode(hash(key), key, null, false, true)) == null ?
null : e.value;
}

通过key值移除对象的方法

 public void clear() {
Node<K,V>[] tab;
modCount++;
if ((tab = table) != null && size > ) {
size = ;
for (int i = ; i < tab.length; ++i)
tab[i] = null;
}
}

清除方法

public boolean containsValue(Object value) {
Node<K,V>[] tab; V v;
if ((tab = table) != null && size > ) {
for (int i = ; i < tab.length; ++i) {
for (Node<K,V> e = tab[i]; e != null; e = e.next) {
if ((v = e.value) == value ||
(value != null && value.equals(v)))
return true;
}
}
}
return false;
}

查看hashmap中是否包含制定的key方法;

 public void forEach(BiConsumer<? super K, ? super V> action) {
Node<K,V>[] tab;
if (action == null)
throw new NullPointerException();
if (size > && (tab = table) != null) {
int mc = modCount;
for (int i = ; i < tab.length; ++i) {
for (Node<K,V> e = tab[i]; e != null; e = e.next)
action.accept(e.key, e.value);
}
if (modCount != mc)
throw new ConcurrentModificationException();
}
}

hashmap的遍历方法