了解akka流中的背压Source.queue

Question

I'm trying out akka streams, but i can't get backpressure to work in my simple example. I am admittely not experienced with akka (streams), so probably I'm missing something big.

I am producing (offering on a queue) integers faster than consuming them, so I thought that backpressure would kick in. My goal is to always consume the most recent item that was put in the queue (that's why I have bufferSize = 1 and OverflowStrategy.dropHead() on the source queue).

public class SimpleStream {
    public static void main(String[] argv) throws InterruptedException {
        final ActorSystem system = ActorSystem.create("akka-streams");
        final Materializer materializer = ActorMaterializer.create(system);

        final Procedure<Integer> slowConsumer = (i) -> {
            System.out.println("consuming [" + i + "]");
            ThreadUtils.sleepQuietly(1000, TimeUnit.MILLISECONDS);
        };

        final SourceQueue<Integer> q = Sink
                .<Integer>foreach(slowConsumer)
                .runWith(Source.<Integer>queue(1, OverflowStrategy.dropHead()),  materializer);

        final AtomicInteger i = new AtomicInteger(0);
        final Thread t = new Thread(() -> {
            while (!Thread.currentThread().isInterrupted()) {
                int n = i.incrementAndGet(); 
                q.offer(n);
                System.out.println("produced: [" + n + "]");
                ThreadUtils.sleepQuietly(500, TimeUnit.MILLISECONDS);
            }
        });
        t.setName("ticking");
        t.start();

        // run some time... to observe the effects.
        ThreadUtils.sleepQuietly(1, TimeUnit.HOURS);
        t.interrupt();
        t.join();

        // eventually shutdown akka here...
    }
}

However this is the result:

produced: [1]
consuming [1]
produced: [2]
produced: [3]
consuming [2] <-- Expected to be consuming 3 here.
produced: [4]
produced: [5]
consuming [3] <-- Expected to be consuming 5 here.
produced: [6]
produced: [7]

Please ignore the threading stuff here and there just to fake getting data from an external source (like it would happen if I had to use this in a real project).

Any idea of what I'm missing?

Answer 1

Source.queue terminates the signalling of back pressure. That is why the Source.queue method takes in an OverflowStrategy . If back pressure could be signalled upstream past the queue then there would be no need to deal with a situation where the queue could potentially overflow. But since back pressure does not propagate past the queue a strategy needs to be defined to deal with a producer that is faster than a consumer.

With typical streams the ultimate Source receives demand from the Sink to produce more results. However, with a stream created from Source.queue the "ultimate source" is a queue. This queue can only drain the contents, if there is any. It can't signal upstream to generate more results because the upstream is on the other side of the offer method.