有同窗说,学了Java那么多锁,仍是没能锁住灭霸,本文教你“三板斧”,锁灭霸足矣。java
听说,没几我的能真正参透这“三板斧”的精髓,你是否是那个有缘人呢?api
最近,在工做上遇见了一些高并发的场景须要加锁来保证业务逻辑的正确性,而且要求加锁后性能不能受到太大的影响。初步的想法是经过数据的时间戳、id等关键字来加锁,从而保证不一样类型数据处理的并发性。而Java自身api提供的锁粒度太大,很难同时知足这些需求,因而本身动手写了几个简单的扩展。。。并发
借鉴ConcurrentHashMap的分段思想,先生成必定数量的锁,具体使用的时候再根据key来返回对应的lock。这是几个实现里最简单,性能最高,也是最终被采用的锁策略,代码以下:jvm
public class SegmentLock<T> {
private Integer segments = 16;//默认分段数量
private final HashMap<Integer, ReentrantLock> lockMap = new HashMap<>();
public SegmentLock() {
init(null, false);
}
public SegmentLock(Integer counts, boolean fair) {
init(counts, fair);
}
private void init(Integer counts, boolean fair) {
if (counts != null) {
segments = counts;
}
for (int i = 0; i < segments; i++) {
lockMap.put(i, new ReentrantLock(fair));
}
}
public void lock(T key) {
ReentrantLock lock = lockMap.get((key.hashCode()>>>1) % segments);
lock.lock();
}
public void unlock(T key) {
ReentrantLock lock = lockMap.get((key.hashCode()>>>1) % segments);
lock.unlock();
}
}
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上述分段锁的基础上发展起来的第二种锁策略,目的是实现真正意义上的细粒度锁。每一个哈希值不一样的对象都能得到本身独立的锁。在测试中,在被锁住的代码执行速度飞快的状况下,效率比分段锁慢 30% 左右。若是有长耗时操做,感受表现应该会更好。代码以下:高并发
public class HashLock<T> {
private boolean isFair = false;
private final SegmentLock<T> segmentLock = new SegmentLock<>();//分段锁
private final ConcurrentHashMap<T, LockInfo> lockMap = new ConcurrentHashMap<>();
public HashLock() {
}
public HashLock(boolean fair) {
isFair = fair;
}
public void lock(T key) {
LockInfo lockInfo;
segmentLock.lock(key);
try {
lockInfo = lockMap.get(key);
if (lockInfo == null) {
lockInfo = new LockInfo(isFair);
lockMap.put(key, lockInfo);
} else {
lockInfo.count.incrementAndGet();
}
} finally {
segmentLock.unlock(key);
}
lockInfo.lock.lock();
}
public void unlock(T key) {
LockInfo lockInfo = lockMap.get(key);
if (lockInfo.count.get() == 1) {
segmentLock.lock(key);
try {
if (lockInfo.count.get() == 1) {
lockMap.remove(key);
}
} finally {
segmentLock.unlock(key);
}
}
lockInfo.count.decrementAndGet();
lockInfo.unlock();
}
private static class LockInfo {
public ReentrantLock lock;
public AtomicInteger count = new AtomicInteger(1);
private LockInfo(boolean fair) {
this.lock = new ReentrantLock(fair);
}
public void lock() {
this.lock.lock();
}
public void unlock() {
this.lock.unlock();
}
}
}
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哈希锁由于引入的分段锁来保证锁建立和销毁的同步,总感受有点瑕疵,因此写了第三个锁来寻求更好的性能和更细粒度的锁。这个锁的思想是借助java的弱引用来建立锁,把锁的销毁交给jvm的垃圾回收,来避免额外的消耗。性能
有点遗憾的是由于使用了ConcurrentHashMap做为锁的容器,因此没能真正意义上的摆脱分段锁。这个锁的性能比 HashLock 快10% 左右。锁代码:测试
public class WeakHashLock<T> {
private ConcurrentHashMap<T, WeakLockRef<T, ReentrantLock>> lockMap = new ConcurrentHashMap<>();
private ReferenceQueue<ReentrantLock> queue = new ReferenceQueue<>();
public ReentrantLock get(T key) {
if (lockMap.size() > 1000) {
clearEmptyRef();
}
WeakReference<ReentrantLock> lockRef = lockMap.get(key);
ReentrantLock lock = (lockRef == null ? null : lockRef.get());
while (lock == null) {
lockMap.putIfAbsent(key, new WeakLockRef<>(new ReentrantLock(), queue, key));
lockRef = lockMap.get(key);
lock = (lockRef == null ? null : lockRef.get());
if (lock != null) {
return lock;
}
clearEmptyRef();
}
return lock;
}
@SuppressWarnings("unchecked")
private void clearEmptyRef() {
Reference<? extends ReentrantLock> ref;
while ((ref = queue.poll()) != null) {
WeakLockRef<T, ? extends ReentrantLock> weakLockRef = (WeakLockRef<T, ? extends ReentrantLock>) ref;
lockMap.remove(weakLockRef.key);
}
}
private static final class WeakLockRef<T, K> extends WeakReference<K> {
final T key;
private WeakLockRef(K referent, ReferenceQueue<? super K> q, T key) {
super(referent, q);
this.key = key;
}
}
}
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最开始想借助 LockSupport 和 AQS 来实现细粒度锁,写着写着发现正在实现的东西和Java 原生的锁区别不大,因而放弃改成对java自带锁的封装,浪费了很多时间。this
实际上在实现了这些细粒度锁以后,又有了新的想法,好比能够经过分段思想将数据提交给专门的线程来处理,能够减小大量线程的阻塞时间,留给有缘人去探索。。。spa
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