用Java的同学可能在自己使用或者面试的时候经常遇到这么一个问题, 哪些数据结构或者容器是同步的, 是怎么实现的同步?
其实很多的数据同步原理都比较简单, 我把目前知道的数据容器的同步方式稍微梳理了一下
1. 线程安全容器
StringBuffer(太明显,synchronized关键字)
@Override
public synchronized StringBuffer append(String str) {
toStringCache = null;
super.append(str);
return this;
}
HashTable(额,一样,synchronized关键字)
public synchronized V put(K key, V value) {
...
}
Vector(额, 还是一样,synchronized关键字)
public synchronized boolean add(E e) {
...
}
ConcurrentHashMap (相对高效,针对某个节点加锁,高端了点点)
public V put(K key, V value) {
return putVal(key, value, false);
}
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[] tab = table;;) {
Node f; int n, i, fh;
if (tab == null || (n = tab.length) == 0)
tab = initTable();
else if ((f = tabAt(tab, i = (n - 1) & hash)) == null) {
if (casTabAt(tab, i, null,
new Node(hash, key, value, null)))
break; // no lock when adding to empty bin
}
else if ((fh = f.hash) == MOVED)
tab = helpTransfer(tab, f);
else {
V oldVal = null;
//看这里,这个叫分片锁
synchronized (f) {
if (tabAt(tab, i) == f) {
if (fh >= 0) {
binCount = 1;
for (Node 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;
}
Node pred = e;
if ((e = e.next) == null) {
pred.next = new Node(hash, key,
value, null);
break;
}
}
}
else if (f instanceof TreeBin) {
Node p;
binCount = 2;
if ((p = ((TreeBin)f).putTreeVal(hash, key,
value)) != null) {
oldVal = p.val;
if (!onlyIfAbsent)
p.val = value;
}
}
}
}
if (binCount != 0) {
if (binCount >= TREEIFY_THRESHOLD)
treeifyBin(tab, i);
if (oldVal != null)
return oldVal;
break;
}
}
}
addCount(1L, binCount);
return null;
}
CopyOnWriteArrayList (使用ReentrantLock, 进行加锁)
public boolean add(E e) {
final ReentrantLock lock = this.lock;
lock.lock();
try {
Object[] elements = getArray();
int len = elements.length;
Object[] newElements = Arrays.copyOf(elements, len + 1);
newElements[len] = e;
setArray(newElements);
return true;
} finally {
lock.unlock();
}
}
BlockingQueue 阻塞队列
//数据插入
public boolean offer(E e) {
if (e == null) throw new NullPointerException();
final AtomicInteger count = this.count;
if (count.get() == capacity)
//超过容量,插入失败
return false;
int c = -1;
Node node = new Node(e);
final ReentrantLock putLock = this.putLock;
//数据插入锁,保证数据插入的同步
putLock.lock();
try {
if (count.get() < capacity) {
enqueue(node);
c = count.getAndIncrement();
if (c + 1 < capacity)
notFull.signal();
}
} finally {
putLock.unlock();
}
if (c == 0)
signalNotEmpty();
return c >= 0;
}
//数据获取,类pop操作
public E poll() {
final AtomicInteger count = this.count;
if (count.get() == 0)
return null;
E x = null;
int c = -1;
final ReentrantLock takeLock = this.takeLock;
//数据获取锁,防止数据获取异常
takeLock.lock();
try {
if (count.get() > 0) {
x = dequeue();
//队列元素减少,AtomicInteger原子操作
c = count.getAndDecrement();
if (c > 1)
notEmpty.signal();
}
} finally {
takeLock.unlock();
}
if (c == capacity)
signalNotFull();
return x;
}
2. 容器同步化
Collections.synchronizedXXX(<数据容器>)
...
final Object mutex; //用户控制同步的对象锁
//构造方法
SynchronizedCollection(Collection c) {
this.c = Objects.requireNonNull(c);
mutex = this;
}
//接上面的操作,看出来没有没?就是以当前容器作为对象锁, 在操作的时候通过锁定对象实现线程安全
...
public boolean add(E e) {
synchronized (mutex) {return c.add(e);}
}
public boolean remove(Object o) {
synchronized (mutex) {return c.remove(o);}
}
...
关于线程部分的代码目前还没看到,后续补上
你们还知道哪些数据容器的加锁方式, 可以给我评论
未完,有机会再续