@Test
  @Ignore // the test is non-deterministic and can't be made deterministic
  public void testFlatMapAsync() {
    int NUM = (int) (Observable.bufferSize() * 2.1);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();

    incrementingIntegers(c)
        .subscribeOn(Schedulers.computation())
        .flatMap(
            i ->
                incrementingIntegers(new AtomicInteger())
                    .take(10)
                    .subscribeOn(Schedulers.computation()))
        .take(NUM)
        .subscribe(ts);

    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testFlatMapAsync => Received: "
            + ts.valueCount()
            + "  Emitted: "
            + c.get()
            + " Size: "
            + Observable.bufferSize());
    assertEquals(NUM, ts.valueCount());
    // even though we only need 10, it will request at least Observable.bufferSize(), and then as it
    // drains keep requesting more
    // and then it will be non-deterministic when the take() causes the unsubscribe as it is
    // scheduled on 10 different schedulers (threads)
    // normally this number is ~250 but can get up to ~1200 when Observable.bufferSize() == 1024
    assertTrue(c.get() <= Observable.bufferSize() * 2);
  }
Beispiel #2
0
  @Test
  public void testTakeWithErrorInObserver() {
    final AtomicInteger count = new AtomicInteger();
    final AtomicReference<Throwable> error = new AtomicReference<>();
    Observable.just("1", "2", "three", "4")
        .take(3)
        .safeSubscribe(
            new Observer<String>() {

              @Override
              public void onComplete() {
                System.out.println("completed");
              }

              @Override
              public void onError(Throwable e) {
                error.set(e);
                System.out.println("error");
                e.printStackTrace();
              }

              @Override
              public void onNext(String v) {
                int num = Integer.parseInt(v);
                System.out.println(num);
                // doSomething(num);
                count.incrementAndGet();
              }
            });
    assertEquals(2, count.get());
    assertNotNull(error.get());
    if (!(error.get() instanceof NumberFormatException)) {
      fail("It should be a NumberFormatException");
    }
  }
  @Test
  public void testNoBackpressureWithInitialValue() {
    final AtomicInteger count = new AtomicInteger();
    Observable.range(1, 100)
        .scan(
            0,
            new BiFunction<Integer, Integer, Integer>() {

              @Override
              public Integer apply(Integer t1, Integer t2) {
                return t1 + t2;
              }
            })
        .subscribe(
            new Observer<Integer>() {

              @Override
              public void onComplete() {}

              @Override
              public void onError(Throwable e) {
                fail(e.getMessage());
                e.printStackTrace();
              }

              @Override
              public void onNext(Integer t) {
                count.incrementAndGet();
              }
            });

    // we only expect to receive 101 as we'll receive all 100 + the initial value
    assertEquals(101, count.get());
  }
  @Test
  public void testMergeAsyncThenObserveOnLoop() {
    for (int i = 0; i < 500; i++) {
      if (i % 10 == 0) {
        System.out.println("testMergeAsyncThenObserveOnLoop >> " + i);
      }
      // Verify there is no MissingBackpressureException
      int NUM = (int) (RxRingBuffer.SIZE * 4.1);
      AtomicInteger c1 = new AtomicInteger();
      AtomicInteger c2 = new AtomicInteger();

      TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
      Observable<Integer> merged =
          Observable.merge(
              incrementingIntegers(c1).subscribeOn(Schedulers.computation()),
              incrementingIntegers(c2).subscribeOn(Schedulers.computation()));

      merged.observeOn(Schedulers.io()).take(NUM).subscribe(ts);
      ts.awaitTerminalEvent();
      ts.assertNoErrors();
      System.out.println(
          "testMergeAsyncThenObserveOn => Received: "
              + ts.getOnNextEvents().size()
              + "  Emitted: "
              + c1.get()
              + " / "
              + c2.get());
      assertEquals(NUM, ts.getOnNextEvents().size());
    }
  }
Beispiel #5
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  @Test
  public void testPublishLast() throws InterruptedException {
    final AtomicInteger count = new AtomicInteger();
    ConnectableObservable<String> connectable =
        Observable.<String>create(
                observer -> {
                  observer.onSubscribe(EmptySubscription.INSTANCE);
                  count.incrementAndGet();
                  new Thread(
                          () -> {
                            observer.onNext("first");
                            observer.onNext("last");
                            observer.onComplete();
                          })
                      .start();
                })
            .takeLast(1)
            .publish();

    // subscribe once
    final CountDownLatch latch = new CountDownLatch(1);
    connectable.subscribe(
        value -> {
          assertEquals("last", value);
          latch.countDown();
        });

    // subscribe twice
    connectable.subscribe();

    Disposable subscription = connectable.connect();
    assertTrue(latch.await(1000, TimeUnit.MILLISECONDS));
    assertEquals(1, count.get());
    subscription.dispose();
  }
  @Test
  public void testFlatMapSync() {
    int NUM = (int) (RxRingBuffer.SIZE * 2.1);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    incrementingIntegers(c)
        .flatMap(
            new Func1<Integer, Observable<Integer>>() {

              @Override
              public Observable<Integer> call(Integer i) {
                return incrementingIntegers(new AtomicInteger()).take(10);
              }
            })
        .take(NUM)
        .subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testFlatMapSync => Received: " + ts.getOnNextEvents().size() + "  Emitted: " + c.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    // expect less than 1 buffer since the flatMap is emitting 10 each time, so it is NUM/10 that
    // will be taken.
    assertTrue(c.get() < RxRingBuffer.SIZE);
  }
Beispiel #7
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  /**
   * The error from the user provided Observable is handled by the subscribe try/catch because this
   * is synchronous
   *
   * <p>Result: Passes
   */
  @Test
  public void testCustomObservableWithErrorInObservableSynchronous() {
    final AtomicInteger count = new AtomicInteger();
    final AtomicReference<Throwable> error = new AtomicReference<>();
    // FIXME custom built???
    Observable.just("1", "2")
        .concatWith(Observable.error(() -> new NumberFormatException()))
        .subscribe(
            new Observer<String>() {

              @Override
              public void onComplete() {
                System.out.println("completed");
              }

              @Override
              public void onError(Throwable e) {
                error.set(e);
                System.out.println("error");
                e.printStackTrace();
              }

              @Override
              public void onNext(String v) {
                System.out.println(v);
                count.incrementAndGet();
              }
            });
    assertEquals(2, count.get());
    assertNotNull(error.get());
    if (!(error.get() instanceof NumberFormatException)) {
      fail("It should be a NumberFormatException");
    }
  }
  @Test
  public void testObserveOnWithSlowConsumer() {
    int NUM = (int) (RxRingBuffer.SIZE * 0.2);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    incrementingIntegers(c)
        .observeOn(Schedulers.computation())
        .map(
            new Func1<Integer, Integer>() {

              @Override
              public Integer call(Integer i) {
                try {
                  Thread.sleep(1);
                } catch (InterruptedException e) {
                  e.printStackTrace();
                }
                return i;
              }
            })
        .take(NUM)
        .subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testObserveOnWithSlowConsumer => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    assertTrue(c.get() < RxRingBuffer.SIZE * 2);
  }
 @Test
 public void testObserveOnWithSlowConsumer() {
   int NUM = (int) (Observable.bufferSize() * 0.2);
   AtomicInteger c = new AtomicInteger();
   TestSubscriber<Integer> ts = new TestSubscriber<>();
   incrementingIntegers(c)
       .observeOn(Schedulers.computation())
       .map(
           i -> {
             try {
               Thread.sleep(1);
             } catch (InterruptedException e) {
               e.printStackTrace();
             }
             return i;
           })
       .take(NUM)
       .subscribe(ts);
   ts.awaitTerminalEvent();
   ts.assertNoErrors();
   System.out.println(
       "testObserveOnWithSlowConsumer => Received: " + ts.valueCount() + "  Emitted: " + c.get());
   assertEquals(NUM, ts.valueCount());
   assertTrue(c.get() < Observable.bufferSize() * 2);
 }
  @Test(timeout = 10000)
  public void testOnBackpressureDropSynchronous() {
    for (int i = 0; i < 100; i++) {
      int NUM = (int) (RxRingBuffer.SIZE * 1.1); // > 1 so that take doesn't prevent buffer overflow
      AtomicInteger c = new AtomicInteger();
      TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
      firehose(c).onBackpressureDrop().map(SLOW_PASS_THRU).take(NUM).subscribe(ts);
      ts.awaitTerminalEvent();
      ts.assertNoErrors();

      List<Integer> onNextEvents = ts.getOnNextEvents();
      assertEquals(NUM, onNextEvents.size());

      Integer lastEvent = onNextEvents.get(NUM - 1);

      System.out.println(
          "testOnBackpressureDrop => Received: "
              + onNextEvents.size()
              + "  Emitted: "
              + c.get()
              + " Last value: "
              + lastEvent);
      // it drop, so we should get some number far higher than what would have sequentially
      // incremented
      assertTrue(NUM - 1 <= lastEvent.intValue());
    }
  }
  @Test(timeout = 2000)
  public void testOnBackpressureBuffer() {
    int NUM = (int) (RxRingBuffer.SIZE * 1.1); // > 1 so that take doesn't prevent buffer overflow
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    firehose(c)
        .takeWhile(
            new Func1<Integer, Boolean>() {

              @Override
              public Boolean call(Integer t1) {
                return t1 < 100000;
              }
            })
        .onBackpressureBuffer()
        .observeOn(Schedulers.computation())
        .map(SLOW_PASS_THRU)
        .take(NUM)
        .subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testOnBackpressureBuffer => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    // it buffers, so we should get the right value sequentially
    assertEquals(NUM - 1, ts.getOnNextEvents().get(NUM - 1).intValue());
  }
Beispiel #12
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  @Test
  public void testTakeFilterSkipChainAsync() {
    int NUM = (int) (Observable.bufferSize() * 2.1);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();
    incrementingIntegers(c)
        .observeOn(Schedulers.computation())
        .skip(10000)
        .filter(i -> i > 11000)
        .take(NUM)
        .subscribe(ts);

    ts.awaitTerminalEvent();
    ts.assertNoErrors();

    // emit 10000 that are skipped
    // emit next 1000 that are filtered out
    // take NUM
    // so emitted is at least 10000+1000+NUM + extra for buffer size/threshold
    int expected = 10000 + 1000 + Observable.bufferSize() * 3 + Observable.bufferSize() / 2;

    System.out.println(
        "testTakeFilterSkipChain => Received: "
            + ts.valueCount()
            + "  Emitted: "
            + c.get()
            + " Expected: "
            + expected);
    assertEquals(NUM, ts.valueCount());
    assertTrue(c.get() < expected);
  }
Beispiel #13
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 @Test
 public void testObserveOn() {
   int NUM = (int) (Observable.bufferSize() * 2.1);
   AtomicInteger c = new AtomicInteger();
   TestSubscriber<Integer> ts = new TestSubscriber<>();
   incrementingIntegers(c).observeOn(Schedulers.computation()).take(NUM).subscribe(ts);
   ts.awaitTerminalEvent();
   ts.assertNoErrors();
   System.out.println("testObserveOn => Received: " + ts.valueCount() + "  Emitted: " + c.get());
   assertEquals(NUM, ts.valueCount());
   assertTrue(c.get() < Observable.bufferSize() * 4);
 }
Beispiel #14
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 @Test
 public void testTakeWhileToList() {
   final int expectedCount = 3;
   final AtomicInteger count = new AtomicInteger();
   for (int i = 0; i < expectedCount; i++) {
     Observable.just(Boolean.TRUE, Boolean.FALSE)
         .takeWhile(v -> v)
         .toList()
         .doOnNext(booleans -> count.incrementAndGet())
         .subscribe();
   }
   assertEquals(expectedCount, count.get());
 }
Beispiel #15
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  @Test
  public void testReplay() throws InterruptedException {
    final AtomicInteger counter = new AtomicInteger();
    ConnectableObservable<String> o =
        Observable.<String>create(
                observer -> {
                  observer.onSubscribe(EmptySubscription.INSTANCE);
                  new Thread(
                          new Runnable() {

                            @Override
                            public void run() {
                              counter.incrementAndGet();
                              observer.onNext("one");
                              observer.onComplete();
                            }
                          })
                      .start();
                })
            .replay();

    // we connect immediately and it will emit the value
    Disposable s = o.connect();
    try {

      // we then expect the following 2 subscriptions to get that same value
      final CountDownLatch latch = new CountDownLatch(2);

      // subscribe once
      o.subscribe(
          v -> {
            assertEquals("one", v);
            latch.countDown();
          });

      // subscribe again
      o.subscribe(
          v -> {
            assertEquals("one", v);
            latch.countDown();
          });

      if (!latch.await(1000, TimeUnit.MILLISECONDS)) {
        fail("subscriptions did not receive values");
      }
      assertEquals(1, counter.get());
    } finally {
      s.dispose();
    }
  }
Beispiel #16
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  @Test
  public void testMergeAsync() {
    int NUM = (int) (Observable.bufferSize() * 4.1);
    AtomicInteger c1 = new AtomicInteger();
    AtomicInteger c2 = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();
    Observable<Integer> merged =
        Observable.merge(
            incrementingIntegers(c1).subscribeOn(Schedulers.computation()),
            incrementingIntegers(c2).subscribeOn(Schedulers.computation()));

    merged.take(NUM).subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testMergeAsync => Received: "
            + ts.valueCount()
            + "  Emitted: "
            + c1.get()
            + " / "
            + c2.get());
    assertEquals(NUM, ts.valueCount());
    // either one can starve the other, but neither should be capable of doing more than 5 batches
    // (taking 4.1)
    // TODO is it possible to make this deterministic rather than one possibly starving the other?
    // benjchristensen => In general I'd say it's not worth trying to make it so, as "fair"
    // algoritms generally take a performance hit
    int max = Observable.bufferSize() * 7;
    assertTrue("" + c1.get() + " >= " + max, c1.get() < max);
    assertTrue("" + c2.get() + " >= " + max, c2.get() < max);
  }
Beispiel #17
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  @Test
  public void testZipAsync() {
    int NUM = (int) (Observable.bufferSize() * 2.1);
    AtomicInteger c1 = new AtomicInteger();
    AtomicInteger c2 = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();
    Observable<Integer> zipped =
        Observable.zip(
            incrementingIntegers(c1).subscribeOn(Schedulers.computation()),
            incrementingIntegers(c2).subscribeOn(Schedulers.computation()),
            (t1, t2) -> t1 + t2);

    zipped.take(NUM).subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testZipAsync => Received: "
            + ts.valueCount()
            + "  Emitted: "
            + c1.get()
            + " / "
            + c2.get());
    assertEquals(NUM, ts.valueCount());
    int max = Observable.bufferSize() * 5;
    assertTrue("" + c1.get() + " >= " + max, c1.get() < max);
    assertTrue("" + c2.get() + " >= " + max, c2.get() < max);
  }
 @Test(timeout = 2000)
 public void testFirehoseFailsAsExpected() {
   AtomicInteger c = new AtomicInteger();
   TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
   firehose(c).observeOn(Schedulers.computation()).map(SLOW_PASS_THRU).subscribe(ts);
   ts.awaitTerminalEvent();
   System.out.println(
       "testFirehoseFailsAsExpected => Received: "
           + ts.getOnNextEvents().size()
           + "  Emitted: "
           + c.get());
   assertEquals(1, ts.getOnErrorEvents().size());
   assertTrue(ts.getOnErrorEvents().get(0) instanceof MissingBackpressureException);
 }
Beispiel #19
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  @Test(timeout = 2000)
  public void testFirehoseFailsAsExpected() {
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();

    firehose(c)
        .observeOn(Schedulers.computation())
        .map(
            v -> {
              try {
                Thread.sleep(10);
              } catch (Exception e) {
                e.printStackTrace();
              }
              return v;
            })
        .subscribe(ts);

    ts.awaitTerminalEvent();
    System.out.println(
        "testFirehoseFailsAsExpected => Received: " + ts.valueCount() + "  Emitted: " + c.get());

    // FIXME it is possible slow is not slow enough or the main gets delayed and thus more than one
    // source value is emitted.
    int vc = ts.valueCount();
    assertTrue("10 < " + vc, vc <= 10);

    ts.assertError(MissingBackpressureException.class);
  }
Beispiel #20
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    @Override
    public void request(long n) {
      if (SubscriptionHelper.validateRequest(n)) {
        return;
      }
      if (compareAndSet(false, true)) {
        int i = 0;
        final Subscriber<? super Integer> a = s;
        final AtomicInteger c = counter;

        while (!cancelled) {
          a.onNext(i++);
          c.incrementAndGet();
        }
        System.out.println("unsubscribed after: " + i);
      }
    }
Beispiel #21
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  /**
   * The error from the user provided Observer is not handled by the subscribe method try/catch.
   *
   * <p>It is handled by the AtomicObserver that wraps the provided Observer.
   *
   * <p>Result: Passes (if AtomicObserver functionality exists)
   */
  @Test
  public void testCustomObservableWithErrorInObserverAsynchronous() throws InterruptedException {
    final CountDownLatch latch = new CountDownLatch(1);
    final AtomicInteger count = new AtomicInteger();
    final AtomicReference<Throwable> error = new AtomicReference<>();

    // FIXME custom built???
    Observable.just("1", "2", "three", "4")
        .subscribeOn(Schedulers.newThread())
        .safeSubscribe(
            new Observer<String>() {
              @Override
              public void onComplete() {
                System.out.println("completed");
                latch.countDown();
              }

              @Override
              public void onError(Throwable e) {
                error.set(e);
                System.out.println("error");
                e.printStackTrace();
                latch.countDown();
              }

              @Override
              public void onNext(String v) {
                int num = Integer.parseInt(v);
                System.out.println(num);
                // doSomething(num);
                count.incrementAndGet();
              }
            });

    // wait for async sequence to complete
    latch.await();

    assertEquals(2, count.get());
    assertNotNull(error.get());
    if (!(error.get() instanceof NumberFormatException)) {
      fail("It should be a NumberFormatException");
    }
  }
Beispiel #22
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  @Test
  public void testFlatMapSync() {
    int NUM = (int) (Observable.bufferSize() * 2.1);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<>();

    incrementingIntegers(c)
        .flatMap(i -> incrementingIntegers(new AtomicInteger()).take(10))
        .take(NUM)
        .subscribe(ts);

    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println("testFlatMapSync => Received: " + ts.valueCount() + "  Emitted: " + c.get());
    assertEquals(NUM, ts.valueCount());
    // expect less than 1 buffer since the flatMap is emitting 10 each time, so it is NUM/10 that
    // will be taken.
    assertTrue(c.get() < Observable.bufferSize());
  }
  @Test
  public void testUserSubscriberUsingRequestSync() {
    AtomicInteger c = new AtomicInteger();
    final AtomicInteger totalReceived = new AtomicInteger();
    final AtomicInteger batches = new AtomicInteger();
    final AtomicInteger received = new AtomicInteger();
    incrementingIntegers(c)
        .subscribe(
            new Subscriber<Integer>() {

              @Override
              public void onStart() {
                request(100);
              }

              @Override
              public void onCompleted() {}

              @Override
              public void onError(Throwable e) {}

              @Override
              public void onNext(Integer t) {
                int total = totalReceived.incrementAndGet();
                received.incrementAndGet();
                if (total >= 2000) {
                  unsubscribe();
                }
                if (received.get() == 100) {
                  batches.incrementAndGet();
                  request(100);
                  received.set(0);
                }
              }
            });

    System.out.println(
        "testUserSubscriberUsingRequestSync => Received: "
            + totalReceived.get()
            + "  Emitted: "
            + c.get()
            + " Request Batches: "
            + batches.get());
    assertEquals(2000, c.get());
    assertEquals(2000, totalReceived.get());
    assertEquals(20, batches.get());
  }
 @Test
 public void testSubscribeOnScheduling() {
   // in a loop for repeating the concurrency in this to increase chance of failure
   for (int i = 0; i < 100; i++) {
     int NUM = (int) (RxRingBuffer.SIZE * 2.1);
     AtomicInteger c = new AtomicInteger();
     ConcurrentLinkedQueue<Thread> threads = new ConcurrentLinkedQueue<Thread>();
     TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
     // observeOn is there to make it async and need backpressure
     incrementingIntegers(c, threads)
         .subscribeOn(Schedulers.computation())
         .observeOn(Schedulers.computation())
         .take(NUM)
         .subscribe(ts);
     ts.awaitTerminalEvent();
     ts.assertNoErrors();
     System.out.println(
         "testSubscribeOnScheduling => Received: "
             + ts.getOnNextEvents().size()
             + "  Emitted: "
             + c.get());
     assertEquals(NUM, ts.getOnNextEvents().size());
     assertTrue(c.get() < RxRingBuffer.SIZE * 4);
     Thread first = null;
     for (Thread t : threads) {
       System.out.println("testSubscribeOnScheduling => thread: " + t);
       if (first == null) {
         first = t;
       } else {
         if (!first.equals(t)) {
           fail("Expected to see the same thread");
         }
       }
     }
     System.out.println(
         "testSubscribeOnScheduling => Number of batch requests seen: " + threads.size());
     assertTrue(threads.size() > 1);
     System.out.println(
         "-------------------------------------------------------------------------------------------");
   }
 }
  @Test
  public void testMergeSync() {
    int NUM = (int) (RxRingBuffer.SIZE * 4.1);
    AtomicInteger c1 = new AtomicInteger();
    AtomicInteger c2 = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    Observable<Integer> merged =
        Observable.merge(incrementingIntegers(c1), incrementingIntegers(c2));

    merged.take(NUM).subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println("Expected: " + NUM + " got: " + ts.getOnNextEvents().size());
    System.out.println(
        "testMergeSync => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c1.get()
            + " / "
            + c2.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    // either one can starve the other, but neither should be capable of doing more than 5 batches
    // (taking 4.1)
    // TODO is it possible to make this deterministic rather than one possibly starving the other?
    // benjchristensen => In general I'd say it's not worth trying to make it so, as "fair"
    // algoritms generally take a performance hit
    assertTrue(c1.get() < RxRingBuffer.SIZE * 5);
    assertTrue(c2.get() < RxRingBuffer.SIZE * 5);
  }
  @Test
  public void testZipAsync() {
    int NUM = (int) (RxRingBuffer.SIZE * 2.1);
    AtomicInteger c1 = new AtomicInteger();
    AtomicInteger c2 = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    Observable<Integer> zipped =
        Observable.zip(
            incrementingIntegers(c1).subscribeOn(Schedulers.computation()),
            incrementingIntegers(c2).subscribeOn(Schedulers.computation()),
            new Func2<Integer, Integer, Integer>() {

              @Override
              public Integer call(Integer t1, Integer t2) {
                return t1 + t2;
              }
            });

    zipped.take(NUM).subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testZipAsync => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c1.get()
            + " / "
            + c2.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    assertTrue(c1.get() < RxRingBuffer.SIZE * 3);
    assertTrue(c2.get() < RxRingBuffer.SIZE * 3);
  }
  @Test
  public void testMergeAsyncThenObserveOn() {
    int NUM = (int) (RxRingBuffer.SIZE * 4.1);
    AtomicInteger c1 = new AtomicInteger();
    AtomicInteger c2 = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    Observable<Integer> merged =
        Observable.merge(
            incrementingIntegers(c1).subscribeOn(Schedulers.computation()),
            incrementingIntegers(c2).subscribeOn(Schedulers.computation()));

    merged.observeOn(Schedulers.newThread()).take(NUM).subscribe(ts);
    ts.awaitTerminalEvent();
    ts.assertNoErrors();
    System.out.println(
        "testMergeAsyncThenObserveOn => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c1.get()
            + " / "
            + c2.get());
    assertEquals(NUM, ts.getOnNextEvents().size());
    // either one can starve the other, but neither should be capable of doing more than 5 batches
    // (taking 4.1)
    // TODO is it possible to make this deterministic rather than one possibly starving the other?
    // benjchristensen => In general I'd say it's not worth trying to make it so, as "fair"
    // algoritms generally take a performance hit
    // akarnokd => run this in a loop over 10k times and never saw values get as high as 7*SIZE, but
    // since observeOn delays the unsubscription non-deterministically, the test will remain
    // unreliable
    assertTrue(c1.get() < RxRingBuffer.SIZE * 7);
    assertTrue(c2.get() < RxRingBuffer.SIZE * 7);
  }
Beispiel #28
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  @Test(timeout = 10000)
  public void testOnBackpressureDrop() {
    long t = System.currentTimeMillis();
    for (int i = 0; i < 100; i++) {
      // stop the test if we are getting close to the timeout because slow machines
      // may not get through 100 iterations
      if (System.currentTimeMillis() - t > TimeUnit.SECONDS.toMillis(9)) {
        break;
      }
      int NUM =
          (int) (Observable.bufferSize() * 1.1); // > 1 so that take doesn't prevent buffer overflow
      AtomicInteger c = new AtomicInteger();
      TestSubscriber<Integer> ts = new TestSubscriber<>();
      firehose(c)
          .onBackpressureDrop()
          .observeOn(Schedulers.computation())
          .map(SLOW_PASS_THRU)
          .take(NUM)
          .subscribe(ts);
      ts.awaitTerminalEvent();
      ts.assertNoErrors();

      List<Integer> onNextEvents = ts.values();
      assertEquals(NUM, onNextEvents.size());

      Integer lastEvent = onNextEvents.get(NUM - 1);

      System.out.println(
          "testOnBackpressureDrop => Received: "
              + onNextEvents.size()
              + "  Emitted: "
              + c.get()
              + " Last value: "
              + lastEvent);
      // it drop, so we should get some number far higher than what would have sequentially
      // incremented
      assertTrue(NUM - 1 <= lastEvent.intValue());
    }
  }
Beispiel #29
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  @Test
  public void testCacheWithCapacity() throws InterruptedException {
    final AtomicInteger counter = new AtomicInteger();
    Observable<String> o =
        Observable.<String>create(
                observer -> {
                  observer.onSubscribe(EmptySubscription.INSTANCE);
                  new Thread(
                          () -> {
                            counter.incrementAndGet();
                            observer.onNext("one");
                            observer.onComplete();
                          })
                      .start();
                })
            .cache(1);

    // we then expect the following 2 subscriptions to get that same value
    final CountDownLatch latch = new CountDownLatch(2);

    // subscribe once
    o.subscribe(
        v -> {
          assertEquals("one", v);
          latch.countDown();
        });

    // subscribe again
    o.subscribe(
        v -> {
          assertEquals("one", v);
          latch.countDown();
        });

    if (!latch.await(1000, TimeUnit.MILLISECONDS)) {
      fail("subscriptions did not receive values");
    }
    assertEquals(1, counter.get());
  }
  @Test
  public void testTakeFilterSkipChainAsync() {
    int NUM = (int) (RxRingBuffer.SIZE * 2.1);
    AtomicInteger c = new AtomicInteger();
    TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
    incrementingIntegers(c)
        .observeOn(Schedulers.computation())
        .skip(10000)
        .filter(
            new Func1<Integer, Boolean>() {

              @Override
              public Boolean call(Integer i) {
                return i > 11000;
              }
            })
        .take(NUM)
        .subscribe(ts);

    ts.awaitTerminalEvent();
    ts.assertNoErrors();

    // emit 10000 that are skipped
    // emit next 1000 that are filtered out
    // take NUM
    // so emitted is at least 10000+1000+NUM + extra for buffer size/threshold
    int expected = 10000 + 1000 + RxRingBuffer.SIZE * 3 + RxRingBuffer.SIZE / 2;

    System.out.println(
        "testTakeFilterSkipChain => Received: "
            + ts.getOnNextEvents().size()
            + "  Emitted: "
            + c.get()
            + " Expected: "
            + expected);
    assertEquals(NUM, ts.getOnNextEvents().size());
    assertTrue(c.get() < expected);
  }