Map的内部结构

常用的Map实现类

常见的Map实现类大概简单地列举几个。

  • java.util.HashMap
  • java.util.LinkedHashMap
  • java.util.concurrent.ConcurrentHashMap
  • java.util.concurrent.ConcurrentSkipListMap
  • java.util.IdentityHashMap
  • java.util.TreeMap
  • java.util.Hashtable
  • org.springframework.util.ConcurrentReferenceHashMap
  • org.springframework.core.annotation.AnnotationAttributes extends LinkedHashMap
  • org.springframework.ui.ModelMap extends LinkedHashMap
  • com.mysql.jdbc.util.LRUCache extends LinkedHashMap

各种Map的数据结构,特点

  • HashMap基于单向链表数组存储数据,默认容积16,但是在数组上并没有按照数组下标顺序存储,而是按Key的哈希值计算在数组中的位置。
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/**
* 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
}
/**
* Associates the specified value with the specified key in this map.
* If the map previously contained a mapping for the key, the old
* value is replaced.
*
* @param key key with which the specified value is to be associated
* @param value value to be associated with the specified key
* @return the previous value associated with <tt>key</tt>, or
* <tt>null</tt> if there was no mapping for <tt>key</tt>.
* (A <tt>null</tt> return can also indicate that the map
* previously associated <tt>null</tt> with <tt>key</tt>.)
*/
public V put(K key, V value) {
return putVal(hash(key), key, value, false, true);
}
/**
* Computes key.hashCode() and spreads (XORs) higher bits of hash
* to lower. Because the table uses power-of-two masking, sets of
* hashes that vary only in bits above the current mask will
* always collide. (Among known examples are sets of Float keys
* holding consecutive whole numbers in small tables.) So we
* apply a transform that spreads the impact of higher bits
* downward. There is a tradeoff between speed, utility, and
* quality of bit-spreading. Because many common sets of hashes
* are already reasonably distributed (so don't benefit from
* spreading), and because we use trees to handle large sets of
* collisions in bins, we just XOR some shifted bits in the
* cheapest possible way to reduce systematic lossage, as well as
* to incorporate impact of the highest bits that would otherwise
* never be used in index calculations because of table bounds.
*/
static final int hash(Object key) {
int h;
return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
}
  • LinkedHashMap基于双向链表存储数据。
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/**
* The head (eldest) of the doubly linked list.
*/
transient LinkedHashMap.Entry<K,V> head;
/**
* The tail (youngest) of the doubly linked list.
*/
transient LinkedHashMap.Entry<K,V> tail;
  • IdentityHashMap并不是常用的类,但也还是说一下,它基于Object数组存储,默认容积32,实例化时容积会在默认容积*2(64),因为Key进行哈希后指定坐标位置存储,然后紧接着下个下标元素会存储对应的value;扩容算法为乘以2;另一个特点,它key在取哈希的时候是用的Object的原始算法,因此,只要KEY是不同的对象,内存地址不相同就可以存入两个相同内容的KEY,也就是Key可以重复。
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/**
* Constructs a new, empty identity hash map with a default expected
* maximum size (21).
*/
public IdentityHashMap() {
init(DEFAULT_CAPACITY);
}
/**
* Initializes object to be an empty map with the specified initial
* capacity, which is assumed to be a power of two between
* MINIMUM_CAPACITY and MAXIMUM_CAPACITY inclusive.
*/
private void init(int initCapacity) {
// assert (initCapacity & -initCapacity) == initCapacity; // power of 2
// assert initCapacity >= MINIMUM_CAPACITY;
// assert initCapacity <= MAXIMUM_CAPACITY;
table = new Object[2 * initCapacity];
}
/**
* Associates the specified value with the specified key in this identity
* hash map. If the map previously contained a mapping for the key, the
* old value is replaced.
*
* @param key the key with which the specified value is to be associated
* @param value the value to be associated with the specified key
* @return the previous value associated with <tt>key</tt>, or
* <tt>null</tt> if there was no mapping for <tt>key</tt>.
* (A <tt>null</tt> return can also indicate that the map
* previously associated <tt>null</tt> with <tt>key</tt>.)
* @see Object#equals(Object)
* @see #get(Object)
* @see #containsKey(Object)
*/
public V put(K key, V value) {
final Object k = maskNull(key);
retryAfterResize: for (;;) {
final Object[] tab = table;
final int len = tab.length;
int i = hash(k, len);
for (Object item; (item = tab[i]) != null;
i = nextKeyIndex(i, len)) {
if (item == k) {
@SuppressWarnings("unchecked")
V oldValue = (V) tab[i + 1];
tab[i + 1] = value;
return oldValue;
}
}
final int s = size + 1;
// Use optimized form of 3 * s.
// Next capacity is len, 2 * current capacity.
if (s + (s << 1) > len && resize(len))
continue retryAfterResize;
modCount++;
tab[i] = k;
tab[i + 1] = value;
size = s;
return null;
}
}
/**
* Returns index for Object x.
*/
private static int hash(Object x, int length) {
int h = System.identityHashCode(x);
// Multiply by -127, and left-shift to use least bit as part of hash
return ((h << 1) - (h << 8)) & (length - 1);
}
  • TreeMap基于红黑二叉树结构。左孩子节点存放比根节点小的,右孩子节点存放比根节点大的数据,因此,数据存储是有顺序的; 非线程安全,因此,若要在多线程同时处理时需要在外部做好同步操作处理。
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/**
* Associates the specified value with the specified key in this map.
* If the map previously contained a mapping for the key, the old
* value is replaced.
*
* @param key key with which the specified value is to be associated
* @param value value to be associated with the specified key
*
* @return the previous value associated with {@code key}, or
* {@code null} if there was no mapping for {@code key}.
* (A {@code null} return can also indicate that the map
* previously associated {@code null} with {@code key}.)
* @throws ClassCastException if the specified key cannot be compared
* with the keys currently in the map
* @throws NullPointerException if the specified key is null
* and this map uses natural ordering, or its comparator
* does not permit null keys
*/
public V put(K key, V value) {
Entry<K,V> t = root;
if (t == null) {
compare(key, key); // type (and possibly null) check
root = new Entry<>(key, value, null);
size = 1;
modCount++;
return null;
}
int cmp;
Entry<K,V> parent;
// split comparator and comparable paths
Comparator<? super K> cpr = comparator;
if (cpr != null) {
do {
parent = t;
cmp = cpr.compare(key, t.key);
if (cmp < 0)
t = t.left;
else if (cmp > 0)
t = t.right;
else
return t.setValue(value);
} while (t != null);
}
else {
if (key == null)
throw new NullPointerException();
@SuppressWarnings("unchecked")
Comparable<? super K> k = (Comparable<? super K>) key;
do {
parent = t;
cmp = k.compareTo(t.key);
if (cmp < 0)
t = t.left;
else if (cmp > 0)
t = t.right;
else
return t.setValue(value);
} while (t != null);
}
Entry<K,V> e = new Entry<>(key, value, parent);
if (cmp < 0)
parent.left = e;
else
parent.right = e;
fixAfterInsertion(e);
size++;
modCount++;
return null;
}

*

有趣的设计

  • 接口中又定义了接口, Map.Entry定义了所有数据节点的结构和方法。

最后

由于是尝试分析,非常地浅显,欢迎各路大神对文中错误提出指正,对不足之处不吝赐教。

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