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lesson8:AtomicInteger源码解析及性能分析

时间:2016-08-23 01:32:19      阅读:178      评论:0      收藏:0      [点我收藏+]

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    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。

lesson8:AtomicInteger源码解析及性能分析

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

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