原子操作类之18罗汉增强

8、原子操作类之18罗汉增强

8.1 是什么

8.2 基本类型原子类Case

class MyNumber {
    AtomicInteger atomicInteger = new AtomicInteger();
 
    public void addPlusPlus() {
        atomicInteger.getAndIncrement();
    }
}
 
 
/**
 * @auther zzyy
 * @create 2022-02-25 21:59
 */
public class AtomicIntegerDemo {
    public static final int SIZE = 50;
 
    public static void main(String[] args) throws InterruptedException {
        MyNumber myNumber = new MyNumber();
        CountDownLatch countDownLatch = new CountDownLatch(SIZE);
 
        for (int i = 1; i <= SIZE; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 1000; j++) {
                        myNumber.addPlusPlus();
                    }
                } finally {
                    countDownLatch.countDown();
                }
            }, String.valueOf(i)).start();
        }
        //等待上面50个线程全部计算完成后，再去获得最终值
 
        //暂停几秒钟线程
        //try { TimeUnit.SECONDS.sleep(2); } catch (InterruptedException e) { e.printStackTrace(); }
 
        countDownLatch.await();
 
        System.out.println(Thread.currentThread().getName() + "\t" + "result: " + myNumber.atomicInteger.get());
    }
}

8.3 数组类型原子类Case

public class AtomicIntegerArrayDemo {
    public static void main(String[] args) {
        AtomicIntegerArray atomicIntegerArray = new AtomicIntegerArray(new int[5]);
        //AtomicIntegerArray atomicIntegerArray = new AtomicIntegerArray(5);
        //AtomicIntegerArray atomicIntegerArray = new AtomicIntegerArray(new int[]{1,2,3,4,5});
 
        for (int i = 0; i < atomicIntegerArray.length(); i++) {
            System.out.println(atomicIntegerArray.get(i));
        }
 
        System.out.println();
 
        int tmpInt = 0;
 
        tmpInt = atomicIntegerArray.getAndSet(0, 1122);
        System.out.println(tmpInt + "\t" + atomicIntegerArray.get(0));
 
        tmpInt = atomicIntegerArray.getAndIncrement(0);
        System.out.println(tmpInt + "\t" + atomicIntegerArray.get(0));
    }
}

8.4 自旋锁SpinLockDemo

/**
 * 题目：实现一个自旋锁,复习CAS思想
 * 自旋锁好处：循环比较获取没有类似wait的阻塞。
 * <p>
 * 通过CAS操作完成自旋锁，A线程先进来调用myLock方法自己持有锁5秒钟，B随后进来后发现
 * 当前有线程持有锁，所以只能通过自旋等待，直到A释放锁后B随后抢到。
 */
public class SpinLockDemo {
    AtomicReference<Thread> atomicReference = new AtomicReference<>();
 
    public void lock() {
        Thread thread = Thread.currentThread();
        System.out.println(Thread.currentThread().getName() + "\t" + "----come in");
        while (!atomicReference.compareAndSet(null, thread)) {
 
        }
    }
 
    public void unLock() {
        Thread thread = Thread.currentThread();
        atomicReference.compareAndSet(thread, null);
        System.out.println(Thread.currentThread().getName() + "\t" + "----task over,unLock...");
    }
 
    public static void main(String[] args) {
        SpinLockDemo spinLockDemo = new SpinLockDemo();
 
        new Thread(() -> {
            spinLockDemo.lock();
            //暂停几秒钟线程
            try {
                TimeUnit.SECONDS.sleep(5);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            spinLockDemo.unLock();
        }, "A").start();
 
        //暂停500毫秒,线程A先于B启动
        try {
            TimeUnit.MILLISECONDS.sleep(500);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
 
        new Thread(() -> {
            spinLockDemo.lock();
 
            spinLockDemo.unLock();
        }, "B").start();
    }
}

8.5 ABADemo

public class ABADemo {
    static AtomicInteger atomicInteger = new AtomicInteger(100);
    static AtomicStampedReference<Integer> stampedReference = new AtomicStampedReference<>(100, 1);
 
    public static void main(String[] args) {
        new Thread(() -> {
            int stamp = stampedReference.getStamp();
            System.out.println(Thread.currentThread().getName() + "\t" + "首次版本号：" + stamp);
 
            //暂停500毫秒,保证后面的t4线程初始化拿到的版本号和我一样
            try {
                TimeUnit.MILLISECONDS.sleep(500);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
 
            stampedReference.compareAndSet(100, 101, stampedReference.getStamp(), stampedReference.getStamp() + 1);
            System.out.println(Thread.currentThread().getName() + "\t" + "2次流水号：" + stampedReference.getStamp());
 
            stampedReference.compareAndSet(101, 100, stampedReference.getStamp(), stampedReference.getStamp() + 1);
            System.out.println(Thread.currentThread().getName() + "\t" + "3次流水号：" + stampedReference.getStamp());
 
        }, "t3").start();
 
        new Thread(() -> {
            int stamp = stampedReference.getStamp();
            System.out.println(Thread.currentThread().getName() + "\t" + "首次版本号：" + stamp);
 
            //暂停1秒钟线程,等待上面的t3线程，发生了ABA问题
            try {
                TimeUnit.SECONDS.sleep(1);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
 
            boolean b = stampedReference.compareAndSet(100, 2022, stamp, stamp + 1);
 
            System.out.println(b + "\t" + stampedReference.getReference() + "\t" + stampedReference.getStamp());
 
        }, "t4").start();
 
    }
 
    private static void abaHappen() {
        new Thread(() -> {
            atomicInteger.compareAndSet(100, 101);
            try {
                TimeUnit.MILLISECONDS.sleep(10);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            atomicInteger.compareAndSet(101, 100);
        }, "t1").start();
 
        new Thread(() -> {
            try {
                TimeUnit.MILLISECONDS.sleep(200);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(atomicInteger.compareAndSet(100, 2022) + "\t" + atomicInteger.get());
        }, "t2").start();
    }
}

8.6 状态戳（true/false）原子引用

/**
 * CAS----Unsafe----do while+ABA---AtomicStampedReference,AtomicMarkableReference
 * <p>
 * AtomicStampedReference,version号，+1；
 * <p>
 * AtomicMarkableReference，一次，false，true
 */
public class AtomicMarkableReferenceDemo {
    static AtomicMarkableReference markableReference = new AtomicMarkableReference(100, false);
 
    public static void main(String[] args) {
        new Thread(() -> {
            boolean marked = markableReference.isMarked();
            System.out.println(Thread.currentThread().getName() + "\t" + "默认标识：" + marked);
            //暂停1秒钟线程,等待后面的T2线程和我拿到一样的模式flag标识，都是false
            try {
                TimeUnit.SECONDS.sleep(1);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            markableReference.compareAndSet(100, 1000, marked, !marked);
        }, "t1").start();
 
        new Thread(() -> {
            boolean marked = markableReference.isMarked();
            System.out.println(Thread.currentThread().getName() + "\t" + "默认标识：" + marked);
 
            try {
                TimeUnit.SECONDS.sleep(2);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            boolean b = markableReference.compareAndSet(100, 2000, marked, !marked);
            System.out.println(Thread.currentThread().getName() + "\t" + "t2线程CASresult： " + b);
            System.out.println(Thread.currentThread().getName() + "\t" + markableReference.isMarked());
            System.out.println(Thread.currentThread().getName() + "\t" + markableReference.getReference());
        }, "t2").start();
    }
}

8.7 AtomicIntegerFieldUpdaterDemo

class BankAccount//资源类
{
    String bankName = "CCB";
 
    //更新的对象属性必须使用 public volatile 修饰符。
    public volatile int money = 0;//钱数
 
    public void add() {
        money++;
    }
 
    //因为对象的属性修改类型原子类都是抽象类，所以每次使用都必须
    // 使用静态方法newUpdater()创建一个更新器，并且需要设置想要更新的类和属性。
    AtomicIntegerFieldUpdater<BankAccount> fieldUpdater =
            AtomicIntegerFieldUpdater.newUpdater(BankAccount.class, "money");
 
    //不加synchronized，保证高性能原子性，局部微创小手术
    public void transMoney(BankAccount bankAccount) {
        fieldUpdater.getAndIncrement(bankAccount);
    }
}
 
/**
 * 以一种线程安全的方式操作非线程安全对象的某些字段。
 * <p>
 * 需求：
 * 10个线程，
 * 每个线程转账1000，
 * 不使用synchronized,尝试使用AtomicIntegerFieldUpdater来实现。
 */
public class AtomicIntegerFieldUpdaterDemo {
    public static void main(String[] args) throws InterruptedException {
        BankAccount bankAccount = new BankAccount();
        CountDownLatch countDownLatch = new CountDownLatch(10);
 
        for (int i = 1; i <= 10; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 1000; j++) {
                        //bankAccount.add();
                        bankAccount.transMoney(bankAccount);
                    }
                } finally {
                    countDownLatch.countDown();
                }
            }, String.valueOf(i)).start();
        }
 
        countDownLatch.await();
 
        System.out.println(Thread.currentThread().getName() + "\t" + "result: " + bankAccount.money);
    }
}

8.8 AtomicReferenceFieldUpdaterDemo

class MyVar //资源类
{
    public volatile Boolean isInit = Boolean.FALSE;
 
    AtomicReferenceFieldUpdater<MyVar, Boolean> referenceFieldUpdater =
            AtomicReferenceFieldUpdater.newUpdater(MyVar.class, Boolean.class, "isInit");
 
    public void init(MyVar myVar) {
        if (referenceFieldUpdater.compareAndSet(myVar, Boolean.FALSE, Boolean.TRUE)) {
            System.out.println(Thread.currentThread().getName() + "\t" + "----- start init,need 2 seconds");
            //暂停几秒钟线程
            try {
                TimeUnit.SECONDS.sleep(3);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(Thread.currentThread().getName() + "\t" + "----- over init");
        } else {
            System.out.println(Thread.currentThread().getName() + "\t" + "----- 已经有线程在进行初始化工作。。。。。");
        }
    }
}
 
 
/**
 * 需求：
 * 多线程并发调用一个类的初始化方法，如果未被初始化过，将执行初始化工作，
 * 要求只能被初始化一次，只有一个线程操作成功
 */
public class AtomicReferenceFieldUpdaterDemo {
    public static void main(String[] args) {
        MyVar myVar = new MyVar();
 
        for (int i = 1; i <= 5; i++) {
            new Thread(() -> {
                myVar.init(myVar);
            }, String.valueOf(i)).start();
        }
    }
}

8.9 阿里要命题目

8.10 原子操作增强类常用API

8.11 LongAdderAPIDemo

public class LongAdderAPIDemo {
    public static void main(String[] args) {
        LongAdder longAdder = new LongAdder();
 
        longAdder.increment();
        longAdder.increment();
        longAdder.increment();
 
        System.out.println(longAdder.sum());
 
        LongAccumulator longAccumulator = new LongAccumulator(new LongBinaryOperator() {
            @Override
            public long applyAsLong(long left, long right) {
                return left + right;
            }
        }, 0);
 
        longAccumulator.accumulate(1);//1
        longAccumulator.accumulate(3);//4
 
        System.out.println(longAccumulator.get());
    }
}

8.12 LongAdder高性能对比Code演示

class ClickNumber //资源类
{
    int number = 0;
 
    public synchronized void clickBySynchronized() {
        number++;
    }
 
    AtomicLong atomicLong = new AtomicLong(0);
 
    public void clickByAtomicLong() {
        atomicLong.getAndIncrement();
    }
 
    LongAdder longAdder = new LongAdder();
 
    public void clickByLongAdder() {
        longAdder.increment();
    }
 
    LongAccumulator longAccumulator = new LongAccumulator((x, y) -> x + y, 0);
 
    public void clickByLongAccumulator() {
        longAccumulator.accumulate(1);
    }
 
}
 
/**
 * @auther zzyy
 * 需求： 50个线程，每个线程100W次，总点赞数出来
 */
public class AccumulatorCompareDemo {
    public static final int _1W = 10000;
    public static final int threadNumber = 50;
 
    public static void main(String[] args) throws InterruptedException {
        ClickNumber clickNumber = new ClickNumber();
        long startTime;
        long endTime;
 
        CountDownLatch countDownLatch1 = new CountDownLatch(threadNumber);
        CountDownLatch countDownLatch2 = new CountDownLatch(threadNumber);
        CountDownLatch countDownLatch3 = new CountDownLatch(threadNumber);
        CountDownLatch countDownLatch4 = new CountDownLatch(threadNumber);
 
        startTime = System.currentTimeMillis();
        for (int i = 1; i <= threadNumber; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 100 * _1W; j++) {
                        clickNumber.clickBySynchronized();
                    }
                } finally {
                    countDownLatch1.countDown();
                }
            }, String.valueOf(i)).start();
        }
        countDownLatch1.await();
        endTime = System.currentTimeMillis();
        System.out.println("----costTime: " + (endTime - startTime) + " 毫秒" + "\t clickBySynchronized: " + clickNumber.number);
 
        startTime = System.currentTimeMillis();
        for (int i = 1; i <= threadNumber; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 100 * _1W; j++) {
                        clickNumber.clickByAtomicLong();
                    }
                } finally {
                    countDownLatch2.countDown();
                }
            }, String.valueOf(i)).start();
        }
        countDownLatch2.await();
        endTime = System.currentTimeMillis();
        System.out.println("----costTime: " + (endTime - startTime) + " 毫秒" + "\t clickByAtomicLong: " + clickNumber.atomicLong.get());
 
 
        startTime = System.currentTimeMillis();
        for (int i = 1; i <= threadNumber; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 100 * _1W; j++) {
                        clickNumber.clickByLongAdder();
                    }
                } finally {
                    countDownLatch3.countDown();
                }
            }, String.valueOf(i)).start();
        }
        countDownLatch3.await();
        endTime = System.currentTimeMillis();
        System.out.println("----costTime: " + (endTime - startTime) + " 毫秒" + "\t clickByLongAdder: " + clickNumber.longAdder.sum());
 
        startTime = System.currentTimeMillis();
        for (int i = 1; i <= threadNumber; i++) {
            new Thread(() -> {
                try {
                    for (int j = 1; j <= 100 * _1W; j++) {
                        clickNumber.clickByLongAccumulator();
                    }
                } finally {
                    countDownLatch4.countDown();
                }
            }, String.valueOf(i)).start();
        }
        countDownLatch4.await();
        endTime = System.currentTimeMillis();
        System.out.println("----costTime: " + (endTime - startTime) + " 毫秒" + "\t clickByLongAccumulator: " + clickNumber.longAccumulator.get());
 
    }
}

8.13 LongAdder架构

8.14 官网说明和阿里要求

8.15 Striped64有几个比较重要的成员函数

8.15.1 最重要2个

8.16 Striped64中一些变量或者方法的定义

8.17 Cell是java.util.concurrent.atomic下Striped64的一个内部类

8.18 LongAdder为什么这么快

• LongAdder的基本思路就是分散热点，将value值分散到一个Cell数组中，不同线程会命中到数组的不同槽中，各个线程只对自己槽中的那个值进行CAS操作，这样热点就被分散了，冲突的概率就小很多。如果要获取真正的long值，只要将各个槽中的变量值累加返回。

• sum()会将所有Cell数组中的value和base累加作为返回值，核心的思想就是将之前AtomicLong一个value的更新压力分散到多个value中去，从而降级更新热点。

  

8.19 longAdder.increment()源码解读深度分析

8.19.1 小总结

• LongAdder在无竞争的情况，跟AtomicLong一样，对同一个base进行操作，当出现竞争关系时则是采用化整为零分散热点的做法，用空间换时间，用一个数组cells，将一个value拆分进这个数组cells。多个线程需要同时对value进行操作时候，可以对线程id进行hash得到hash值，再根据hash值映射到这个数组cells的某个下标，再对该下标所对应的值进行自增操作。当所有线程操作完毕，将数组cells的所有值和base都加起来作为最终结果。

  

8.19.2 add(1L)

8.19.3 上述小总结

8.19.4 longAccumulate入参说明

8.19.5 线程hash值：probe

8.19.6 总纲

8.19.7 未初始化过Cell数组，尝试占有锁并首次初始化cells数组

8.19.8 多个线程尝试CAS修改失败的线程会走到这个分支

• 该分支实现直接操作base基数，将值加到base上，也即其它线程正在初始化，多个线程正在更新base的值。

8.19.9 Cell数组不再为空且可能存在Cell数组扩容

8.19.9.1 总体代码

8.19.9.2 ①

8.19.9.3 ②

8.19.9.4 ③

8.19.9.5 ④

8.19.9.6 ⑤

8.19.9.7 ⑥

8.19.9.8 上6步骤总结

8.19.10 sum

• sum()会将所有Cell数组中的value和base累加作为返回值。
• 核心的思想就是将之前AtomicLong一个value的更新压力分散到多个value中去，从而降级更新热点。

8.19.10.1 为啥在并发情况下sum的值不精确

• sum执行时，并没有限制对base和cells的更新（一句要命的话）。所以LongAdder不是强一致性的，它是最终一致性的。

• 首先，最终返回的sum局部变量，初始被复制为base，而最终返回时，很可能base已经被更新了，而此时局部变量sum不会更新，造成不一致。其次，这里对cell的读取也无法保证是最后一次写入的值。所以，sum方法在没有并发的情况下，可以获得正确的结果。

  

8.20 AtomicLong的自旋会成为瓶颈

• N个线程CAS操作修改线程的值，每次只有一个成功过，其它N-1失败，失败的不停的自旋直到成功，这样大量失败自旋的情况，一下子cpu就打高了。