核心 Java ，多线程环境中的共享计数器

Question

I got the java counter problem: two threads share a common counter and increment it in turns. Now can someone please show code examples of it using synchronization, Locks and AtomicIntegers means using different approach. I am not getting any good working code comparison for this problem. Thanks.

public class ThreadsExample implements Runnable {
    static AtomicInteger counter = new AtomicInteger(1);

    public ThreadsExample() {
    }

    static void incrementCounter() {
        System.out.println(Thread.currentThread().getName() + ": "
                + counter.getAndIncrement());
    }

    @Override
    public void run() {
        while (counter.get() < 1000) {
            incrementCounter();
        }
    }

    public static void main(String[] args) {
        ThreadsExample te = new ThreadsExample();
        Thread thread1 = new Thread(te);
        Thread thread2 = new Thread(te);
        thread1.start();
        thread2.start();
    }
}

Answer 1

Consider using AtomicInteger to update values atomically in a multi-threaded environment.

A sample usage,

AtomicInteger counter = new AtomicInteger(0);
counter.incrementAndGet(); // thread-safe 

If the number of threads are more consider using LongAdder

Answer 2

Concept: In order to guarantee that a variable is not updated by 2 threads at the same time, it should have synchronized and atomic access, and also changes should be visible to other threads, so variable should marked as volatile , apart from few other things.

Java provides a java.util.concurrent.atomic which helps you when the need is for a single variable. Below is small description from the package documentation:

A small toolkit of classes that support lock-free thread-safe programming on single variables. In essence, the classes in this package extend the notion of volatile values, fields, and array elements to those that also provide an atomic conditional update operation

Looking at your requirement, I think java.util.concurrent.atomic.AtomicInteger should solve your requirement. Below is a sample I have created for you and also the o/p.
Please note that

1. o/p may differ at your end, but key point to note is that you will not see duplicate values in the result.
2. I am running 4 parallel threads, and each is trying to access and increment the same counter, without any synchronization, and results are expected. And this happens because we are using Java's atomic java.util.concurrent.atomic.AtomicInteger

To address your question:

Now can someone please show code examples of it using synchronization, Locks and AtomicIntegers means using different approach. I am not getting any good working code comparison for this problem.

Since your purpose if use of counter, you really need to worry about synchronized code, locks etc., you can straight way use java.util.concurrent.atomic.AtomicInteger .
If for learning purpose you want to know about synchronized code, locks etc. then it is really a big topic :) You can read Java's concurrency tutorial .

PS: I checked the code you had provided and it was working for me, anyways you can test the code I have provided, and you should get expected results.

import java.util.concurrent.atomic.*;

public class AtomicSequencer {
    private final AtomicInteger sequenceNumber = new AtomicInteger(0);

    public static void main(String[] args) {
        final AtomicSequencer atom = new AtomicSequencer();
        Thread thread1 = new Thread(){
            @Override
            public void run() {
                atom.next();
            }
        };
        Thread thread2 = new Thread(){
            @Override
            public void run() {
                atom.next();
            }
        };
        Thread thread3 = new Thread(){
            @Override
            public void run() {
                atom.next();
            }
        };
        Thread thread4 = new Thread(){
            @Override
            public void run() {
                atom.next();
            }
        };
        thread1.start();
        thread2.start();
        thread3.start();
        thread4.start();
    }

    public void next() {
        while(sequenceNumber.get() < 1000){
            System.out.println("ThreadID " + Thread.currentThread().getId() + " : " + sequenceNumber.getAndIncrement());
        }
    }

}

Output:

ThreadID 8 : 0
ThreadID 8 : 1
ThreadID 8 : 2
ThreadID 8 : 3
ThreadID 8 : 4
ThreadID 8 : 5
ThreadID 8 : 6
ThreadID 8 : 7
ThreadID 8 : 8
ThreadID 8 : 9
ThreadID 8 : 10
ThreadID 8 : 11
ThreadID 8 : 12
ThreadID 8 : 13
ThreadID 8 : 14
ThreadID 8 : 15
ThreadID 8 : 16
ThreadID 8 : 17
ThreadID 8 : 18
ThreadID 9 : 19
ThreadID 8 : 20
ThreadID 8 : 21
ThreadID 8 : 22
ThreadID 8 : 23
ThreadID 8 : 24
ThreadID 8 : 25
ThreadID 8 : 26
ThreadID 8 : 27
ThreadID 8 : 28
ThreadID 8 : 29
ThreadID 8 : 30
ThreadID 8 : 31
ThreadID 8 : 32
ThreadID 8 : 33
ThreadID 8 : 34
ThreadID 8 : 35
ThreadID 8 : 36
ThreadID 8 : 37
ThreadID 8 : 38
ThreadID 8 : 39
ThreadID 8 : 40
ThreadID 8 : 41
ThreadID 8 : 42
ThreadID 8 : 43
ThreadID 8 : 44
ThreadID 8 : 46
ThreadID 8 : 47
ThreadID 8 : 49
ThreadID 8 : 50
ThreadID 8 : 51
ThreadID 8 : 52
ThreadID 8 : 53
ThreadID 8 : 54
ThreadID 8 : 55
ThreadID 8 : 56
ThreadID 8 : 57
ThreadID 8 : 58
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ThreadID 8 : 60
ThreadID 8 : 61
ThreadID 8 : 62
ThreadID 8 : 63
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ThreadID 8 : 65
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ThreadID 8 : 80
ThreadID 11 : 81
ThreadID 11 : 83
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ThreadID 11 : 89
ThreadID 9 : 45
ThreadID 9 : 91
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ThreadID 11 : 90
ThreadID 9 : 203
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ThreadID 8 : 82
ThreadID 8 : 210
ThreadID 8 : 211
ThreadID 10 : 48
ThreadID 10 : 213
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ThreadID 8 : 212
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ThreadID 11 : 204
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ThreadID 11 : 237
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ThreadID 11 : 243
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ThreadID 9 : 248
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ThreadID 11 : 255
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ThreadID 10 : 271
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ThreadID 11 : 274
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ThreadID 10 : 277
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ThreadID 11 : 280
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ThreadID 10 : 283
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ThreadID 9 : 400
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ThreadID 10 : 375
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