use of com.netflix.hystrix.metric.CachedValuesHistogram in project Hystrix by Netflix.
the class RollingCollapserBatchSizeDistributionStreamTest method testBatchesAgeOut.
//by doing a take(30), all metrics should fall out of window and we should observe an empty histogram
@Test
public void testBatchesAgeOut() {
HystrixCollapserKey key = HystrixCollapserKey.Factory.asKey("Collapser-Batch-Size-B");
stream = RollingCollapserBatchSizeDistributionStream.getInstance(key, 10, 100);
stream.startCachingStreamValuesIfUnstarted();
final CountDownLatch latch = new CountDownLatch(1);
stream.observe().take(30).subscribe(new Subscriber<CachedValuesHistogram>() {
@Override
public void onCompleted() {
latch.countDown();
}
@Override
public void onError(Throwable e) {
fail(e.getMessage());
}
@Override
public void onNext(CachedValuesHistogram distribution) {
System.out.println("OnNext @ " + System.currentTimeMillis());
}
});
Collapser.from(key, 1).observe();
Collapser.from(key, 2).observe();
Collapser.from(key, 3).observe();
try {
Thread.sleep(200);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 4).observe();
try {
Thread.sleep(200);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 5).observe();
Collapser.from(key, 6).observe();
Collapser.from(key, 7).observe();
Collapser.from(key, 8).observe();
Collapser.from(key, 9).observe();
try {
Thread.sleep(200);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 10).observe();
Collapser.from(key, 11).observe();
Collapser.from(key, 12).observe();
try {
assertTrue(latch.await(10000, TimeUnit.MILLISECONDS));
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
assertEquals(0, stream.getLatest().getTotalCount());
assertEquals(0, stream.getLatestMean());
}
use of com.netflix.hystrix.metric.CachedValuesHistogram in project Hystrix by Netflix.
the class RollingCollapserBatchSizeDistributionStreamTest method testBatches.
@Test
public void testBatches() {
HystrixCollapserKey key = HystrixCollapserKey.Factory.asKey("Collapser-Batch-Size-B");
stream = RollingCollapserBatchSizeDistributionStream.getInstance(key, 10, 100);
stream.startCachingStreamValuesIfUnstarted();
final CountDownLatch latch = new CountDownLatch(1);
stream.observe().take(10).subscribe(new Subscriber<CachedValuesHistogram>() {
@Override
public void onCompleted() {
latch.countDown();
}
@Override
public void onError(Throwable e) {
fail(e.getMessage());
}
@Override
public void onNext(CachedValuesHistogram distribution) {
System.out.println("OnNext @ " + System.currentTimeMillis());
}
});
Collapser.from(key, 1).observe();
Collapser.from(key, 2).observe();
Collapser.from(key, 3).observe();
try {
Thread.sleep(250);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 4).observe();
try {
Thread.sleep(250);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 5).observe();
Collapser.from(key, 6).observe();
Collapser.from(key, 7).observe();
Collapser.from(key, 8).observe();
Collapser.from(key, 9).observe();
try {
Thread.sleep(250);
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
Collapser.from(key, 10).observe();
Collapser.from(key, 11).observe();
Collapser.from(key, 12).observe();
try {
assertTrue(latch.await(10000, TimeUnit.MILLISECONDS));
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
//should have 4 batches: 3, 1, 5, 3
assertEquals(4, stream.getLatest().getTotalCount());
assertEquals(3, stream.getLatestMean());
assertEquals(1, stream.getLatestPercentile(0));
assertEquals(5, stream.getLatestPercentile(100));
}
use of com.netflix.hystrix.metric.CachedValuesHistogram in project Hystrix by Netflix.
the class RollingCommandLatencyDistributionStreamTest method testEmptyStreamProducesEmptyDistributions.
@Test
public void testEmptyStreamProducesEmptyDistributions() {
HystrixCommandKey key = HystrixCommandKey.Factory.asKey("CMD-Latency-A");
stream = RollingCommandLatencyDistributionStream.getInstance(key, 10, 100);
stream.startCachingStreamValuesIfUnstarted();
final CountDownLatch latch = new CountDownLatch(1);
stream.observe().take(10).subscribe(new Subscriber<CachedValuesHistogram>() {
@Override
public void onCompleted() {
latch.countDown();
}
@Override
public void onError(Throwable e) {
fail(e.getMessage());
}
@Override
public void onNext(CachedValuesHistogram distribution) {
System.out.println("OnNext @ " + System.currentTimeMillis());
assertEquals(0, distribution.getTotalCount());
}
});
try {
assertTrue(latch.await(10000, TimeUnit.MILLISECONDS));
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
assertEquals(0, stream.getLatest().getTotalCount());
}
use of com.netflix.hystrix.metric.CachedValuesHistogram in project Hystrix by Netflix.
the class RollingCommandLatencyDistributionStreamTest method testSingleBucketWithMultipleEventTypes.
/*
* The following event types should not have their latency measured:
* THREAD_POOL_REJECTED
* SEMAPHORE_REJECTED
* SHORT_CIRCUITED
* RESPONSE_FROM_CACHE
*
* Newly measured (as of 1.5)
* BAD_REQUEST
* FAILURE
* TIMEOUT
*/
@Test
public void testSingleBucketWithMultipleEventTypes() {
HystrixCommandKey key = HystrixCommandKey.Factory.asKey("CMD-Latency-C");
stream = RollingCommandLatencyDistributionStream.getInstance(key, 10, 100);
stream.startCachingStreamValuesIfUnstarted();
final CountDownLatch latch = new CountDownLatch(1);
stream.observe().take(10).subscribe(new Subscriber<CachedValuesHistogram>() {
@Override
public void onCompleted() {
latch.countDown();
}
@Override
public void onError(Throwable e) {
fail(e.getMessage());
}
@Override
public void onNext(CachedValuesHistogram distribution) {
System.out.println(System.currentTimeMillis() + " : " + Thread.currentThread().getName() + " Received distribution with count : " + distribution.getTotalCount() + " and mean : " + distribution.getMean());
if (distribution.getTotalCount() < 4 && distribution.getTotalCount() > 0) {
//buckets before timeout latency registers
assertBetween(10, 50, (int) distribution.getMean());
} else if (distribution.getTotalCount() == 4) {
//now timeout latency of 600ms is there
assertBetween(150, 250, (int) distribution.getMean());
}
}
});
Command cmd1 = Command.from(groupKey, key, HystrixEventType.SUCCESS, 10);
//latency = 600
Command cmd2 = Command.from(groupKey, key, HystrixEventType.TIMEOUT);
Command cmd3 = Command.from(groupKey, key, HystrixEventType.FAILURE, 30);
Command cmd4 = Command.from(groupKey, key, HystrixEventType.BAD_REQUEST, 40);
cmd1.observe();
cmd2.observe();
cmd3.observe();
cmd4.observe();
try {
assertTrue(latch.await(10000, TimeUnit.MILLISECONDS));
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
//now timeout latency of 600ms is there
assertBetween(150, 350, stream.getLatestMean());
assertBetween(10, 40, stream.getLatestPercentile(0.0));
assertBetween(600, 800, stream.getLatestPercentile(100.0));
}
use of com.netflix.hystrix.metric.CachedValuesHistogram in project Hystrix by Netflix.
the class RollingCommandLatencyDistributionStreamTest method testMultipleBucketsBothGetStoredAndThenAgeOut.
/**
* The extra takes on the stream should give enough time for all of the measured latencies to age out
*/
@Test
public void testMultipleBucketsBothGetStoredAndThenAgeOut() {
HystrixCommandKey key = HystrixCommandKey.Factory.asKey("CMD-Latency-I");
stream = RollingCommandLatencyDistributionStream.getInstance(key, 10, 100);
stream.startCachingStreamValuesIfUnstarted();
final CountDownLatch latch = new CountDownLatch(1);
stream.observe().take(30).subscribe(new Subscriber<CachedValuesHistogram>() {
@Override
public void onCompleted() {
latch.countDown();
}
@Override
public void onError(Throwable e) {
fail(e.getMessage());
}
@Override
public void onNext(CachedValuesHistogram distribution) {
System.out.println(System.currentTimeMillis() + " : " + Thread.currentThread().getName() + " Received distribution with count : " + distribution.getTotalCount() + " and mean : " + distribution.getMean());
if (distribution.getTotalCount() == 2) {
assertBetween(55, 90, (int) distribution.getMean());
}
if (distribution.getTotalCount() == 5) {
assertEquals(60, 90, (long) distribution.getMean());
}
}
});
Command cmd1 = Command.from(groupKey, key, HystrixEventType.SUCCESS, 10);
Command cmd2 = Command.from(groupKey, key, HystrixEventType.FAILURE, 100);
cmd1.observe();
cmd2.observe();
try {
Thread.sleep(500);
} catch (InterruptedException ie) {
fail("Interrupted ex");
}
Command cmd3 = Command.from(groupKey, key, HystrixEventType.SUCCESS, 60);
Command cmd4 = Command.from(groupKey, key, HystrixEventType.SUCCESS, 60);
Command cmd5 = Command.from(groupKey, key, HystrixEventType.SUCCESS, 70);
cmd3.observe();
cmd4.observe();
cmd5.observe();
try {
assertTrue(latch.await(10000, TimeUnit.MILLISECONDS));
} catch (InterruptedException ex) {
fail("Interrupted ex");
}
assertEquals(0, stream.getLatest().getTotalCount());
}
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