AtomicInteger有两个主要用途:

As an atomic counter (incrementAndGet(), etc) that can be used by many threads concurrently As a primitive that supports compare-and-swap instruction (compareAndSet()) to implement non-blocking algorithms. Here is an example of non-blocking random number generator from Brian Göetz's Java Concurrency In Practice: public class AtomicPseudoRandom extends PseudoRandom { private AtomicInteger seed; AtomicPseudoRandom(int seed) { this.seed = new AtomicInteger(seed); } public int nextInt(int n) { while (true) { int s = seed.get(); int nextSeed = calculateNext(s); if (seed.compareAndSet(s, nextSeed)) { int remainder = s % n; return remainder > 0 ? remainder : remainder + n; } } } ... } As you can see, it basically works almost the same way as incrementAndGet(), but performs arbitrary calculation (calculateNext()) instead of increment (and processes the result before return).

Atomic classes are not general purpose replacements for java.lang.Integer and related classes. They do not define methods such as equals, hashCode and compareTo. (Because atomic variables are expected to be mutated, they are poor choices for hash table keys.) Additionally, classes are provided only for those types that are commonly useful in intended applications. For example, there is no atomic class for representing byte. In those infrequent cases where you would like to do so, you can use an AtomicInteger to hold byte values, and cast appropriately. You can also hold floats using Float.floatToRawIntBits(float) and Float.intBitsToFloat(int) conversions, and doubles using Double.doubleToRawLongBits(double) and Double.longBitsToDouble(long) conversions.

参考:https://docs.oracle.com/javase/8/docs/api/java/util/concurrent/atomic/package-summary.html

当我需要为可以从多个线程访问或创建的对象提供id时，我通常使用AtomicInteger，并且我通常将它用作我在对象的构造函数中访问的类的静态属性。

在Java 8中，原子类扩展了两个有趣的函数:

int getAndUpdate（IntUnaryOperator updateFunction） int updateAndGet（IntUnaryOperator updateFunction）

两者都使用updateFunction来执行原子值的更新。区别在于第一个返回旧值，第二个返回新值。updateFunction可以实现为执行比标准操作更复杂的“比较和设置”操作。例如，它可以检查原子计数器不低于零，通常它需要同步，这里的代码是无锁的:

    public class Counter {

      private final AtomicInteger number;

      public Counter(int number) {
        this.number = new AtomicInteger(number);
      }

      /** @return true if still can decrease */
      public boolean dec() {
        // updateAndGet(fn) executed atomically:
        return number.updateAndGet(n -> (n > 0) ? n - 1 : n) > 0;
      }
    }

代码取自Java原子示例。

AtomicInteger有两个主要用途:

As an atomic counter (incrementAndGet(), etc) that can be used by many threads concurrently As a primitive that supports compare-and-swap instruction (compareAndSet()) to implement non-blocking algorithms. Here is an example of non-blocking random number generator from Brian Göetz's Java Concurrency In Practice: public class AtomicPseudoRandom extends PseudoRandom { private AtomicInteger seed; AtomicPseudoRandom(int seed) { this.seed = new AtomicInteger(seed); } public int nextInt(int n) { while (true) { int s = seed.get(); int nextSeed = calculateNext(s); if (seed.compareAndSet(s, nextSeed)) { int remainder = s % n; return remainder > 0 ? remainder : remainder + n; } } } ... } As you can see, it basically works almost the same way as incrementAndGet(), but performs arbitrary calculation (calculateNext()) instead of increment (and processes the result before return).

我使用AtomicInteger来解决就餐哲学家的问题。

在我的解决方案中，使用AtomicInteger实例来表示fork，每个哲学家需要两个。每个哲学家都被标识为一个整数，从1到5。当一个哲学家使用一个fork时，AtomicInteger保存哲学家的值，从1到5，否则该fork没有被使用，因此AtomicInteger的值为-1。

AtomicInteger允许在一个原子操作中检查一个fork是否空闲，value==-1，如果空闲则将其设置为fork的所有者。参见下面的代码。

AtomicInteger fork0 = neededForks[0];//neededForks is an array that holds the forks needed per Philosopher
AtomicInteger fork1 = neededForks[1];
while(true){    
    if (Hungry) {
        //if fork is free (==-1) then grab it by denoting who took it
        if (!fork0.compareAndSet(-1, p) || !fork1.compareAndSet(-1, p)) {
          //at least one fork was not succesfully grabbed, release both and try again later
            fork0.compareAndSet(p, -1);
            fork1.compareAndSet(p, -1);
            try {
                synchronized (lock) {//sleep and get notified later when a philosopher puts down one fork                    
                    lock.wait();//try again later, goes back up the loop
                }
            } catch (InterruptedException e) {}

        } else {
            //sucessfully grabbed both forks
            transition(fork_l_free_and_fork_r_free);
        }
    }
}

因为compareAndSet方法不阻塞，它应该增加吞吐量，完成更多的工作。正如你所知道的，Dining Philosophers问题是在需要对资源进行受控访问时使用的，即需要fork，就像一个进程需要资源来继续工作一样。