成员变量
private static final int MAXIMUM_CAPACITY = 1 << 30;
private static final int DEFAULT_CAPACITY = 16;
static final int MAX_ARRAY_SIZE = Integer.MAX_VALUE - 8;
private static final int DEFAULT_CONCURRENCY_LEVEL = 16;
private static final float LOAD_FACTOR = 0.75f;
static final int TREEIFY_THRESHOLD = 8;
static final int UNTREEIFY_THRESHOLD = 6;
static final int MIN_TREEIFY_CAPACITY = 64;
private static final int MIN_TRANSFER_STRIDE = 16;
private static int RESIZE_STAMP_BITS = 16;
private static final int MAX_RESIZERS = (1 << (32 - RESIZE_STAMP_BITS)) - 1;
private static final int RESIZE_STAMP_SHIFT = 32 - RESIZE_STAMP_BITS;
static final int MOVED = -1; // hash for forwarding nodes
static final int TREEBIN = -2; // hash for roots of trees
static final int RESERVED = -3; // hash for transient reservations
static final int HASH_BITS = 0x7fffffff; // usable bits of normal node hash
//存储key-value的Node节点
static class Node<K,V> implements Map.Entry<K,V> {
final int hash;
final K key;
volatile V val;
volatile Node<K,V> next;
Node(int hash, K key, V val, Node<K,V> next) {
this.hash = hash;
this.key = key;
this.val = val;
this.next = next;
}
}
// 初始化发生在第一次插入操作,默认大小为16的数组,用来存储Node节点数据,扩容时大小总是2的幂次方。
transient volatile Node<K,V>[] table;
// 默认为null,扩容时新生成的数组,其大小为原数组的两倍。
private transient volatile Node<K,V>[] nextTable;
private transient volatile long baseCount;
// sizeCtl默认为0,用来控制table的初始化和扩容操作
/*
-1 代表table正在初始化
-N 表示有N-1个线程正在进行扩容操作
另外:
1 如果table未初始化,表示table需要初始化的大小
2 如果table初始化完成,表示table的容量,默认是table大小的0.75倍
*/
private transient volatile int sizeCtl;
private transient volatile int transferIndex;
private transient volatile int cellsBusy;
private transient volatile CounterCell[] counterCells;
private transient KeySetView<K,V> keySet;
private transient ValuesView<K,V> values;
private transient EntrySetView<K,V> entrySet;
//下面三个方法为原子操作,分别对应volatile的取值,CAS操作,赋值
static final <K,V> Node<K,V> tabAt(Node<K,V>[] tab, int i) {
return (Node<K,V>)U.getObjectVolatile(tab, ((long)i << ASHIFT) + ABASE);
}
static final <K,V> boolean casTabAt(Node<K,V>[] tab, int i,
Node<K,V> c, Node<K,V> v) {
return U.compareAndSwapObject(tab, ((long)i << ASHIFT) + ABASE, c, v);
}
static final <K,V> void setTabAt(Node<K,V>[] tab, int i, Node<K,V> v) {
U.putObjectVolatile(tab, ((long)i << ASHIFT) + ABASE, v);
}
构造方法初始化
//创建一个对象,什么都不做
public ConcurrentHashMap() {
}
//传入容量值,需要将这个值变为比这个值大的2^n
public ConcurrentHashMap(int initialCapacity) {
if (initialCapacity < 0)
throw new IllegalArgumentException();
int cap = ((initialCapacity >= (MAXIMUM_CAPACITY >>> 1)) ?
MAXIMUM_CAPACITY :
tableSizeFor(initialCapacity + (initialCapacity >>> 1) + 1));
this.sizeCtl = cap;
}
public ConcurrentHashMap(Map<? extends K, ? extends V> m) {
this.sizeCtl = DEFAULT_CAPACITY;
putAll(m);
}
public ConcurrentHashMap(int initialCapacity, float loadFactor) {
this(initialCapacity, loadFactor, 1);
}
public ConcurrentHashMap(int initialCapacity,
float loadFactor, int concurrencyLevel) {
if (!(loadFactor > 0.0f) || initialCapacity < 0 || concurrencyLevel <= 0)
throw new IllegalArgumentException();
if (initialCapacity < concurrencyLevel) // Use at least as many bins
initialCapacity = concurrencyLevel; // as estimated threads
long size = (long)(1.0 + (long)initialCapacity / loadFactor);
int cap = (size >= (long)MAXIMUM_CAPACITY) ?
MAXIMUM_CAPACITY : tableSizeFor((int)size);
this.sizeCtl = cap;
}
table初始化
//table的初始化不在构造方法中发生,而是在第一次put时,调用了initTable方法
private final Node<K,V>[] initTable() {
Node<K,V>[] tab;
int sc;
while ((tab = table) == null || tab.length == 0) {
//如果一个线程发现sizeCtl<0,意味着另外的线程执行CAS操作成功,当前线程需要让出cpu时间片,重新进入就绪状态
if ((sc = sizeCtl) < 0)
Thread.yield(); // lost initialization race; just spin
else if (U.compareAndSwapInt(this, SIZECTL, sc, -1)) {
//sizeCtl未被设置过-1的值,则需要在本线程中创建对象
try {
//首先通过CAS将sizeCtl置为-1,这样别的线程就知道这个线程在创建对象了
if ((tab = table) == null || tab.length == 0) {
int n = (sc > 0) ? sc : DEFAULT_CAPACITY;
@SuppressWarnings("unchecked")
Node<K,V>[] nt = (Node<K,V>[])new Node<?,?>[n];
table = tab = nt;
sc = n - (n >>> 2);//n-(n/4) 16-16/4=12,是不是记起了什么?
}
} finally {
sizeCtl = sc;
}
break;
}
}
return tab;
}
put方法
public V put(K key, V value) {
return putVal(key, value, false);
}
/** Implementation for put and putIfAbsent */
final V putVal(K key, V value, boolean onlyIfAbsent) {
if (key == null || value == null) throw new NullPointerException();
int hash = spread(key.hashCode());
int binCount = 0;
for (Node<K,V>[] tab = table;;) {
Node<K,V> f; int n, i, fh;
if (tab == null || (n = tab.length) == 0)
tab = initTable();//初始化table
else if ((f = tabAt(tab, i = (n - 1) & hash)) == null) {
//f为拿到的最新的元素值
// 如果f为空的话,说明table中这个位置第一次插入元素,利用Unsafe.compareAndSwapObject方法插入Node节点
if (casTabAt(tab, i, null,
new Node<K,V>(hash, key, value, null)))
break; // no lock when adding to empty bin
}
else if ((fh = f.hash) == MOVED) // 如果hash值为-1,说明正在进行扩容操作
tab = helpTransfer(tab, f);//数据迁移代码不太容易,日后再说
else {
//f 是该位置的头结点,而且不为空
V oldVal = null;
// 其余情况把新的Node节点按链表或红黑树的方式插入到合适的位置,这个过程采用同步内置锁实现并发
synchronized (f) {
//在节点f上进行同步,节点插入之前,再次利用tabAt(tab, i) == f判断,防止被其它线程修改
if (tabAt(tab, i) == f) {
if (fh >= 0) {
//链表
binCount = 1;
//遍历链表
for (Node<K,V> e = f;; ++binCount) {
K ek;
if (e.hash == hash &&
((ek = e.key) == key ||
(ek != null && key.equals(ek)))) {
oldVal = e.val;
if (!onlyIfAbsent)
e.val = value;
break;
}
// 到了链表的最末端,将这个新值放到链表的最后面
Node<K,V> pred = e;
if ((e = e.next) == null) {
pred.next = new Node<K,V>(hash, key,
value, null);
break;
}
}
}
else if (f instanceof TreeBin) {
//红黑树
Node<K,V> p;
binCount = 2;
// 调用红黑树的插值方法插入新节点
if ((p = ((TreeBin<K,V>)f).putTreeVal(hash, key,
value)) != null) {
oldVal = p.val;
if (!onlyIfAbsent)
p.val = value;
}
}
}
}
if (binCount != 0) {
if (binCount >= TREEIFY_THRESHOLD)
//满足某些条件的时候,转化为红黑树
treeifyBin(tab, i);
if (oldVal != null)
return oldVal;
break;
}
}
}
addCount(1L, binCount);
return null;
}
get方法
public V get(Object key) {
Node<K,V>[] tab; Node<K,V> e, p; int n, eh; K ek;
int h = spread(key.hashCode());//得到hash值
//取值操作不需要考虑并发,依据HashMap的实现就可以了
if ((tab = table) != null && (n = tab.length) > 0 &&
(e = tabAt(tab, (n - 1) & h)) != null) {
if ((eh = e.hash) == h) {
if ((ek = e.key) == key || (ek != null && key.equals(ek)))
return e.val;
}
else if (eh < 0)
return (p = e.find(h, key)) != null ? p.val : null;
while ((e = e.next) != null) {
if (e.hash == h &&
((ek = e.key) == key || (ek != null && key.equals(ek))))
return e.val;
}
}
return null;
}
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