@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());
}
}
@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);
}
@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);
}
@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 testZipSync() {
int NUM = (int) (Observable.bufferSize() * 4.1);
AtomicInteger c1 = new AtomicInteger();
AtomicInteger c2 = new AtomicInteger();
TestSubscriber<Integer> ts = new TestSubscriber<>();
Observable<Integer> zipped =
Observable.zip(incrementingIntegers(c1), incrementingIntegers(c2), (t1, t2) -> t1 + t2);
zipped.take(NUM).subscribe(ts);
ts.awaitTerminalEvent();
ts.assertNoErrors();
System.out.println(
"testZipSync => Received: "
+ ts.valueCount()
+ " Emitted: "
+ c1.get()
+ " / "
+ c2.get());
assertEquals(NUM, ts.valueCount());
assertTrue(c1.get() < Observable.bufferSize() * 7);
assertTrue(c2.get() < Observable.bufferSize() * 7);
}
@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);
}
@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 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);
}
/**
* 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) (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
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 testOnStartCalledOnceViaUnsafeSubscribe() {
final AtomicInteger c = new AtomicInteger();
Observable.just(1, 2, 3, 4)
.take(2)
.unsafeSubscribe(
new Observer<Integer>() {
@Override
public void onStart() {
c.incrementAndGet();
request(1);
}
@Override
public void onComplete() {}
@Override
public void onError(Throwable e) {}
@Override
public void onNext(Integer t) {
request(1);
}
});
assertEquals(1, c.get());
}
@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());
}
@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);
}
@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(timeout = 10000)
public void testOnBackpressureDropWithAction() {
for (int i = 0; i < 100; i++) {
final AtomicInteger emitCount = new AtomicInteger();
final AtomicInteger dropCount = new AtomicInteger();
final AtomicInteger passCount = new AtomicInteger();
final int NUM = RxRingBuffer.SIZE * 3; // > 1 so that take doesn't prevent buffer overflow
TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
firehose(emitCount)
.onBackpressureDrop(
new Action1<Integer>() {
@Override
public void call(Integer i) {
dropCount.incrementAndGet();
}
})
.doOnNext(
new Action1<Integer>() {
@Override
public void call(Integer integer) {
passCount.incrementAndGet();
}
})
.observeOn(Schedulers.computation())
.map(SLOW_PASS_THRU)
.take(NUM)
.subscribe(ts);
ts.awaitTerminalEvent();
ts.assertNoErrors();
List<Integer> onNextEvents = ts.getOnNextEvents();
Integer lastEvent = onNextEvents.get(NUM - 1);
System.out.println(
testName.getMethodName()
+ " => Received: "
+ onNextEvents.size()
+ " Passed: "
+ passCount.get()
+ " Dropped: "
+ dropCount.get()
+ " Emitted: "
+ emitCount.get()
+ " Last value: "
+ lastEvent);
assertEquals(NUM, onNextEvents.size());
// in reality, NUM < passCount
assertTrue(NUM <= passCount.get());
// it drop, so we should get some number far higher than what would have sequentially
// incremented
assertTrue(NUM - 1 <= lastEvent.intValue());
assertTrue(0 < dropCount.get());
assertEquals(emitCount.get(), passCount.get() + dropCount.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 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);
}
@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);
}
@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());
}
@Test(timeout = 10000)
public void testOnBackpressureDropSynchronousWithAction() {
for (int i = 0; i < 100; i++) {
final AtomicInteger dropCount = new AtomicInteger();
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(j -> dropCount.incrementAndGet())
.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()
+ " Dropped: "
+ dropCount.get()
+ " 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());
// no drop in synchronous mode
assertEquals(0, dropCount.get());
assertEquals(c.get(), onNextEvents.size());
}
}
@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);
}
@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();
}
}
@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);
}
@Test
@Ignore // the test is non-deterministic and can't be made deterministic
public void testFlatMapAsync() {
int NUM = (int) (RxRingBuffer.SIZE * 2.1);
AtomicInteger c = new AtomicInteger();
TestSubscriber<Integer> ts = new TestSubscriber<Integer>();
incrementingIntegers(c)
.subscribeOn(Schedulers.computation())
.flatMap(
new Func1<Integer, Observable<Integer>>() {
@Override
public Observable<Integer> call(Integer i) {
return incrementingIntegers(new AtomicInteger())
.take(10)
.subscribeOn(Schedulers.computation());
}
})
.take(NUM)
.subscribe(ts);
ts.awaitTerminalEvent();
ts.assertNoErrors();
System.out.println(
"testFlatMapAsync => Received: "
+ ts.getOnNextEvents().size()
+ " Emitted: "
+ c.get()
+ " Size: "
+ RxRingBuffer.SIZE);
assertEquals(NUM, ts.getOnNextEvents().size());
// even though we only need 10, it will request at least RxRingBuffer.SIZE, 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 RxRingBuffer.SIZE == 1024
assertTrue(c.get() <= RxRingBuffer.SIZE * 2);
}
/**
* 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");
}
}
@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 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());
}