• lesson8:AtomicInteger源码解析及性能分析


        AtomicInteger等对象出现的目的主要是为了解决在多线程环境下变量计数的问题,例如常用的i++,i--操作,它们不是线程安全的,AtomicInteger引入后,就不必在进行i++和i--操作时,进行加锁操作,在我们日常工作中,有很多业务场景需要在多线程环境下进行变量的计数:订单数统计、访问量统计、累计相应时长统计等。

    demo 源码:https://github.com/mantuliu/javaAdvance

        下面我们先分析一下AtomicInteger的源代码。通过源码分析我们知道,AtomicInteger的核心就是一个CAS算法(CompareAndSwap),比较并交换算法,此算法是由unsafe的底层代码实现,它是一个原子的操作,原理就是:如果内存中的实际值与update值相同,则将实际值更新为expect值,反之则返回失败,由上层系统循环获取实际值后,再次调用此CAS算法:

    /*
     * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
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    /*
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     * Written by Doug Lea with assistance from members of JCP JSR-166
     * Expert Group and released to the public domain, as explained at
     * http://creativecommons.org/publicdomain/zero/1.0/
     */
    
    package java.util.concurrent.atomic;
    import sun.misc.Unsafe;
    
    /**
     * An {@code int} value that may be updated atomically.  See the
     * {@link java.util.concurrent.atomic} package specification for
     * description of the properties of atomic variables. An
     * {@code AtomicInteger} is used in applications such as atomically
     * incremented counters, and cannot be used as a replacement for an
     * {@link java.lang.Integer}. However, this class does extend
     * {@code Number} to allow uniform access by tools and utilities that
     * deal with numerically-based classes.
     *
     * @since 1.5
     * @author Doug Lea
    */
    public class AtomicInteger extends Number implements java.io.Serializable {
        private static final long serialVersionUID = 6214790243416807050L;
    
        // setup to use Unsafe.compareAndSwapInt for updates
        private static final Unsafe unsafe = Unsafe.getUnsafe();
        private static final long valueOffset;//value值的偏移地址
    
        static {
          try {
            valueOffset = unsafe.objectFieldOffset
                (AtomicInteger.class.getDeclaredField("value"));
          } catch (Exception ex) { throw new Error(ex); }
        }
    
        private volatile int value;//实际的值
    
        /**
         * Creates a new AtomicInteger with the given initial value.
         *
         * @param initialValue the initial value
         */
        public AtomicInteger(int initialValue) {
            value = initialValue;//初始化
        }
    
        /**
         * Creates a new AtomicInteger with initial value {@code 0}.
         */
        public AtomicInteger() {
        }
    
        /**
         * Gets the current value.
         *
         * @return the current value
         */
        public final int get() {
            return value;//返回value值
        }
    
        /**
         * Sets to the given value.
         *
         * @param newValue the new value
         */
        public final void set(int newValue) {
            value = newValue;//设置新值,因为没有判断oldvalue,所以此操作是非线程安全的
        }
    
        /**
         * Eventually sets to the given value.
         *
         * @param newValue the new value
         * @since 1.6
         */
        public final void lazySet(int newValue) {
            unsafe.putOrderedInt(this, valueOffset, newValue);//与set操作效果一样,只是采用的是unsafe对象中通过偏移地址来设置值的方式
        }
    
        /**
         * Atomically sets to the given value and returns the old value.
         *
         * @param newValue the new value
         * @return the previous value
         */
        public final int getAndSet(int newValue) {//原子操作,设置新值,返回老值
            for (;;) {
                int current = get();
                if (compareAndSet(current, newValue))//通过CAS算法,比较current的值和实际值是否一致,如果一致则设置为newValue
                    return current;
            }
        }
    
        /**
         * Atomically sets the value to the given updated value
         * if the current value {@code ==} the expected value.
         *
         * @param expect the expected value
         * @param update the new value
         * @return true if successful. False return indicates that
         * the actual value was not equal to the expected value.
         */
        public final boolean compareAndSet(int expect, int update) {
            return unsafe.compareAndSwapInt(this, valueOffset, expect, update);
        }
    
        /**
         * Atomically sets the value to the given updated value
         * if the current value {@code ==} the expected value.
         *
         * <p>May <a href="package-summary.html#Spurious">fail spuriously</a>
         * and does not provide ordering guarantees, so is only rarely an
         * appropriate alternative to {@code compareAndSet}.
         *
         * @param expect the expected value
         * @param update the new value
         * @return true if successful.
         */
        public final boolean weakCompareAndSet(int expect, int update) {
            return unsafe.compareAndSwapInt(this, valueOffset, expect, update);
        }
    
        /**
         * Atomically increments by one the current value.
         *
         * @return the previous value
         */
        public final int getAndIncrement() {//i++操作
            for (;;) {
                int current = get();//获取当前值
                int next = current + 1;//当前值+1
                if (compareAndSet(current, next))//比较current值和实际的值是否一致,如不一致,则继续循环
                    return current;
            }
        }
    
        /**
         * Atomically decrements by one the current value.
         *
         * @return the previous value
         */
        public final int getAndDecrement() {
            for (;;) {
                int current = get();
                int next = current - 1;
                if (compareAndSet(current, next))
                    return current;
            }
        }
    
        /**
         * Atomically adds the given value to the current value.
         *
         * @param delta the value to add
         * @return the previous value
         */
        public final int getAndAdd(int delta) {//例如:当我们统计接口的响应时间时,可以利用此方法
            for (;;) {
                int current = get();
                int next = current + delta;
                if (compareAndSet(current, next))
                    return current;
            }
        }
    
        /**
         * Atomically increments by one the current value.
         *
         * @return the updated value
         */
        public final int incrementAndGet() {
            for (;;) {
                int current = get();
                int next = current + 1;
                if (compareAndSet(current, next))
                    return next;
            }
        }
    
        /**
         * Atomically decrements by one the current value.
         *
         * @return the updated value
         */
        public final int decrementAndGet() {
            for (;;) {
                int current = get();
                int next = current - 1;
                if (compareAndSet(current, next))
                    return next;
            }
        }
    
        /**
         * Atomically adds the given value to the current value.
         *
         * @param delta the value to add
         * @return the updated value
         */
        public final int addAndGet(int delta) {
            for (;;) {
                int current = get();
                int next = current + delta;
                if (compareAndSet(current, next))
                    return next;
            }
        }
    
        /**
         * Returns the String representation of the current value.
         * @return the String representation of the current value.
         */
        public String toString() {
            return Integer.toString(get());
        }
    
    
        public int intValue() {
            return get();
        }
    
        public long longValue() {
            return (long)get();
        }
    
        public float floatValue() {
            return (float)get();
        }
    
        public double doubleValue() {
            return (double)get();
        }
    
    }

          下面,我们为四种情况(同步关键字、ReentrantLock公平锁和非公平锁、AtomicInteger)做一下性能对比分析,当我们看到上面的代码分析后,我们判断AtomicInteger应该比加锁的方式快,但是实验的结果表明,AtomicInteger只比ReentrantLock加公平锁的情况快几十倍,比其它两种方式略慢一些。

         四个demo都用100个线程来循环模拟下单60秒钟:

    demo Lesson8SyncIntPerform:在使用同步关键字加锁的情况下100个线程循环下单数为:677337556

    demo Lesson8SyncIntPerform:在使用同步关键字加锁的情况下100个线程循环下单数为:755994691

    demo Lesson8AtomicIntPerform:在使用AtomicInteger的情况下100个线程循环下单数为:562359607

    demo Lesson8AtomicIntPerform:在使用AtomicInteger的情况下100个线程循环下单数为:575367967

    demo Lesson8LockIntPerform:在使用ReentrantLock加非公平锁的情况下100个线程循环下单数为:857239882

    demo Lesson8LockIntPerform:在使用ReentrantLock加非公平锁的情况下100个线程循环下单数为:860364303

    demo Lesson8LockFairIntPerform:在使用ReentrantLock加公平锁的情况下100个线程循环下单数为:19153640

    demo Lesson8LockFairIntPerform:在使用ReentrantLock加公平锁的情况下100个线程循环下单数为:19076567

       上面的实验结果表明,在jdk1.6及后续的版本中(本实验的jdk版本是1.7,操作系统为windows操作系统),已经对于synchronized关键字的性能优化了很多,已经和ReentrantLock的性能差不多,加锁的效果比不加锁时使用AtomicInteger性能效果还要略好一些,但是公平锁的性能明显降低,其它三种情况下的性能是公平锁性能的几十倍以上,这和公平锁每次试图占有锁时,都必须先要进等待队列,按照FIFO的顺序去获取锁,因此在我们的实验情景下,使用公平锁的线程进行了频繁切换,而频繁切换线程,性能必然会下降的厉害,这也告诫了我们在实际的开发过程中,在需要使用公平锁的情景下,务必要考虑线程的切换频率。

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  • 原文地址:https://www.cnblogs.com/mantu/p/5796450.html
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