diff options
Diffstat (limited to 'kamon-core/src/test/scala/kamon/metric')
9 files changed, 1149 insertions, 0 deletions
diff --git a/kamon-core/src/test/scala/kamon/metric/ActorMetricsSpec.scala b/kamon-core/src/test/scala/kamon/metric/ActorMetricsSpec.scala new file mode 100644 index 00000000..481f03c5 --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/ActorMetricsSpec.scala @@ -0,0 +1,202 @@ +/* ========================================================================================= + * Copyright © 2013 the kamon project <http://kamon.io/> + * + * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file + * except in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under the + * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, + * either express or implied. See the License for the specific language governing permissions + * and limitations under the License. + * ========================================================================================= + */ + +package kamon.metric + +import java.nio.LongBuffer + +import akka.instrumentation.ActorCellMetrics +import kamon.metric.ActorMetricsTestActor._ +import kamon.metric.instrument.Histogram.MutableRecord +import org.scalatest.{ WordSpecLike, Matchers } +import akka.testkit.{ ImplicitSender, TestProbe, TestKitBase } +import akka.actor._ +import com.typesafe.config.ConfigFactory +import scala.concurrent.duration._ +import kamon.metric.Subscriptions.TickMetricSnapshot +import kamon.metric.ActorMetrics.{ ActorMetricsRecorder, ActorMetricSnapshot } + +class ActorMetricsSpec extends TestKitBase with WordSpecLike with Matchers with ImplicitSender { + implicit lazy val system: ActorSystem = ActorSystem("actor-metrics-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | filters = [ + | { + | actor { + | includes = [ "user/tracked-*", "user/measuring-*", "user/clean-after-collect" ] + | excludes = [ "user/tracked-explicitly-excluded"] + | } + | } + | ] + | precision { + | default-histogram-precision { + | highest-trackable-value = 3600000000000 + | significant-value-digits = 2 + | } + | + | default-min-max-counter-precision { + | refresh-interval = 1 second + | highest-trackable-value = 999999999 + | significant-value-digits = 2 + | } + | } + |} + """.stripMargin)) + + "the Kamon actor metrics" should { + "respect the configured include and exclude filters" in new ActorMetricsFixtures { + val trackedActor = createTestActor("tracked-actor") + actorMetricsRecorderOf(trackedActor) should not be empty + + val nonTrackedActor = createTestActor("non-tracked-actor") + actorMetricsRecorderOf(nonTrackedActor) shouldBe empty + + val trackedButExplicitlyExcluded = createTestActor("tracked-explicitly-excluded") + actorMetricsRecorderOf(trackedButExplicitlyExcluded) shouldBe empty + } + + "reset all recording instruments after taking a snapshot" in new ActorMetricsFixtures { + val trackedActor = createTestActor("clean-after-collect") + val trackedActorMetrics = actorMetricsRecorderOf(trackedActor).get + for (i ← 1 to 100) { + trackedActor ! Discard + } + trackedActor ! Fail + trackedActor ! TrackTimings(sleep = Some(1 second)) + expectMsgType[TrackedTimings] + + val firstSnapshot = takeSnapshotOf(trackedActorMetrics) + firstSnapshot.errors.count should be(1L) + firstSnapshot.mailboxSize.numberOfMeasurements should be > 0L + firstSnapshot.processingTime.numberOfMeasurements should be(103L) // 102 examples + Initialize message + firstSnapshot.timeInMailbox.numberOfMeasurements should be(103L) // 102 examples + Initialize message + + val secondSnapshot = takeSnapshotOf(trackedActorMetrics) // Ensure that the recorders are clean + secondSnapshot.errors.count should be(0L) + secondSnapshot.mailboxSize.numberOfMeasurements should be <= 3L + secondSnapshot.processingTime.numberOfMeasurements should be(0L) // 102 examples + Initialize message + secondSnapshot.timeInMailbox.numberOfMeasurements should be(0L) // 102 examples + Initialize message + } + + "record the processing-time of the receive function" in new ActorMetricsFixtures { + val trackedActor = createTestActor("measuring-processing-time") + val trackedActorMetrics = actorMetricsRecorderOf(trackedActor).get + takeSnapshotOf(trackedActorMetrics) // Ensure that the recorders are clean + + trackedActor ! TrackTimings(sleep = Some(1 second)) + val timings = expectMsgType[TrackedTimings] + val snapshot = takeSnapshotOf(trackedActorMetrics) + + snapshot.processingTime.numberOfMeasurements should be(1L) + snapshot.processingTime.recordsIterator.next().count should be(1L) + snapshot.processingTime.recordsIterator.next().level should be(timings.approximateProcessingTime +- 10.millis.toNanos) + } + + "record the number of errors" in new ActorMetricsFixtures { + val trackedActor = createTestActor("measuring-errors") + val trackedActorMetrics = actorMetricsRecorderOf(trackedActor).get + takeSnapshotOf(trackedActorMetrics) // Ensure that the recorders are clean + + for (i ← 1 to 10) { trackedActor ! Fail } + trackedActor ! Ping + expectMsg(Pong) + val snapshot = takeSnapshotOf(trackedActorMetrics) + + snapshot.errors.count should be(10) + } + + "record the mailbox-size" in new ActorMetricsFixtures { + val trackedActor = createTestActor("measuring-mailbox-size") + val trackedActorMetrics = actorMetricsRecorderOf(trackedActor).get + takeSnapshotOf(trackedActorMetrics) // Ensure that the recorders are clean + + trackedActor ! TrackTimings(sleep = Some(1 second)) + for (i ← 1 to 10) { + trackedActor ! Discard + } + trackedActor ! Ping + + val timings = expectMsgType[TrackedTimings] + expectMsg(Pong) + val snapshot = takeSnapshotOf(trackedActorMetrics) + + snapshot.mailboxSize.min should be(0L) + snapshot.mailboxSize.max should be(11L +- 1L) + } + + "record the time-in-mailbox" in new ActorMetricsFixtures { + val trackedActor = createTestActor("measuring-time-in-mailbox") + val trackedActorMetrics = actorMetricsRecorderOf(trackedActor).get + takeSnapshotOf(trackedActorMetrics) // Ensure that the recorders are clean + + trackedActor ! TrackTimings(sleep = Some(1 second)) + val timings = expectMsgType[TrackedTimings] + val snapshot = takeSnapshotOf(trackedActorMetrics) + + snapshot.timeInMailbox.numberOfMeasurements should be(1L) + snapshot.timeInMailbox.recordsIterator.next().count should be(1L) + snapshot.timeInMailbox.recordsIterator.next().level should be(timings.approximateTimeInMailbox +- 10.millis.toNanos) + } + } + + trait ActorMetricsFixtures { + val collectionContext = new CollectionContext { + val buffer: LongBuffer = LongBuffer.allocate(10000) + } + + def actorMetricsRecorderOf(ref: ActorRef): Option[ActorMetricsRecorder] = { + val initialisationListener = TestProbe() + ref.tell(Ping, initialisationListener.ref) + initialisationListener.expectMsg(Pong) + + val underlyingCellField = ref.getClass.getDeclaredMethod("underlying") + val cell = underlyingCellField.invoke(ref).asInstanceOf[ActorCellMetrics] + + cell.actorMetricsRecorder + } + + def createTestActor(name: String): ActorRef = system.actorOf(Props[ActorMetricsTestActor], name) + + def takeSnapshotOf(amr: ActorMetricsRecorder): ActorMetricSnapshot = amr.collect(collectionContext) + } +} + +class ActorMetricsTestActor extends Actor { + def receive = { + case Discard ⇒ + case Fail ⇒ 1 / 0 + case Ping ⇒ sender ! Pong + case TrackTimings(sendTimestamp, sleep) ⇒ { + val dequeueTimestamp = System.nanoTime() + sleep.map(s ⇒ Thread.sleep(s.toMillis)) + val afterReceiveTimestamp = System.nanoTime() + + sender ! TrackedTimings(sendTimestamp, dequeueTimestamp, afterReceiveTimestamp) + } + } +} + +object ActorMetricsTestActor { + case object Ping + case object Pong + case object Fail + case object Discard + + case class TrackTimings(sendTimestamp: Long = System.nanoTime(), sleep: Option[Duration] = None) + case class TrackedTimings(sendTimestamp: Long, dequeueTimestamp: Long, afterReceiveTimestamp: Long) { + def approximateTimeInMailbox: Long = dequeueTimestamp - sendTimestamp + def approximateProcessingTime: Long = afterReceiveTimestamp - dequeueTimestamp + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/DispatcherMetricsSpec.scala b/kamon-core/src/test/scala/kamon/metric/DispatcherMetricsSpec.scala new file mode 100644 index 00000000..7434c4ee --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/DispatcherMetricsSpec.scala @@ -0,0 +1,105 @@ +/* ========================================================================================= + * Copyright © 2013-2014 the kamon project <http://kamon.io/> + * + * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file + * except in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under the + * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, + * either express or implied. See the License for the specific language governing permissions + * and limitations under the License. + * ========================================================================================= + */ + +package kamon.metric + +import org.scalatest.{ WordSpecLike, Matchers } +import akka.testkit.{ TestProbe, TestKitBase } +import akka.actor.{ ActorRef, Props, ActorSystem } +import com.typesafe.config.ConfigFactory +import scala.concurrent.duration._ +import kamon.Kamon +import kamon.metric.Subscriptions.TickMetricSnapshot +import kamon.metric.DispatcherMetrics.DispatcherMetricSnapshot + +class DispatcherMetricsSpec extends TestKitBase with WordSpecLike with Matchers { + implicit lazy val system: ActorSystem = ActorSystem("dispatcher-metrics-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | filters = [ + | { + | dispatcher { + | includes = ["*"] + | excludes = ["dispatcher-explicitly-excluded"] + | } + | } + | ] + |} + | + |dispatcher-explicitly-excluded { + | type = "Dispatcher" + | executor = "fork-join-executor" + |} + | + |tracked-dispatcher { + | type = "Dispatcher" + | executor = "thread-pool-executor" + |} + | + """.stripMargin)) + + "the Kamon dispatcher metrics" should { + "respect the configured include and exclude filters" in { + system.actorOf(Props[ActorMetricsTestActor].withDispatcher("tracked-dispatcher"), "actor-with-tracked-dispatcher") + system.actorOf(Props[ActorMetricsTestActor].withDispatcher("dispatcher-explicitly-excluded"), "actor-with-excluded-dispatcher") + + Kamon(Metrics).subscribe(DispatcherMetrics, "*", testActor, permanently = true) + expectMsgType[TickMetricSnapshot] + + within(2 seconds) { + val tickSnapshot = expectMsgType[TickMetricSnapshot] + tickSnapshot.metrics.keys should contain(DispatcherMetrics("tracked-dispatcher")) + tickSnapshot.metrics.keys should not contain (DispatcherMetrics("dispatcher-explicitly-excluded")) + } + } + + "record maximumPoolSize, runningThreadCount, queueTaskCount, poolSize metrics" in new DelayableActorFixture { + val (delayable, metricsListener) = delayableActor("worker-actor", "tracked-dispatcher") + + for (_ ← 1 to 100) { + //delayable ! Discard + } + + val dispatcherMetrics = expectDispatcherMetrics("tracked-dispatcher", metricsListener, 3 seconds) + dispatcherMetrics.maximumPoolSize.max should be <= 64L //fail in travis + dispatcherMetrics.poolSize.max should be <= 22L //fail in travis + dispatcherMetrics.queueTaskCount.max should be(0L) + dispatcherMetrics.runningThreadCount.max should be(0L) + } + + } + + def expectDispatcherMetrics(dispatcherId: String, listener: TestProbe, waitTime: FiniteDuration): DispatcherMetricSnapshot = { + val tickSnapshot = within(waitTime) { + listener.expectMsgType[TickMetricSnapshot] + } + val dispatcherMetricsOption = tickSnapshot.metrics.get(DispatcherMetrics(dispatcherId)) + dispatcherMetricsOption should not be empty + dispatcherMetricsOption.get.asInstanceOf[DispatcherMetricSnapshot] + } + + trait DelayableActorFixture { + def delayableActor(name: String, dispatcher: String): (ActorRef, TestProbe) = { + val actor = system.actorOf(Props[ActorMetricsTestActor].withDispatcher(dispatcher), name) + val metricsListener = TestProbe() + + Kamon(Metrics).subscribe(DispatcherMetrics, "*", metricsListener.ref, permanently = true) + // Wait for one empty snapshot before proceeding to the test. + metricsListener.expectMsgType[TickMetricSnapshot] + + (actor, metricsListener) + } + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/TickMetricSnapshotBufferSpec.scala b/kamon-core/src/test/scala/kamon/metric/TickMetricSnapshotBufferSpec.scala new file mode 100644 index 00000000..ee851672 --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/TickMetricSnapshotBufferSpec.scala @@ -0,0 +1,109 @@ +/* + * ========================================================================================= + * Copyright © 2013 the kamon project <http://kamon.io/> + * + * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file + * except in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under the + * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, + * either express or implied. See the License for the specific language governing permissions + * and limitations under the License. + * ========================================================================================= + */ + +package kamon.metric + +import com.typesafe.config.ConfigFactory +import kamon.Kamon +import kamon.metric.instrument.Histogram +import kamon.metric.instrument.Histogram.MutableRecord +import org.scalatest.{ Matchers, WordSpecLike } +import akka.testkit.{ ImplicitSender, TestKitBase } +import akka.actor.ActorSystem +import scala.concurrent.duration._ +import kamon.metric.Subscriptions.TickMetricSnapshot + +class TickMetricSnapshotBufferSpec extends TestKitBase with WordSpecLike with Matchers with ImplicitSender { + implicit lazy val system: ActorSystem = ActorSystem("trace-metrics-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | tick-interval = 1 hour + | filters = [ + | { + | trace { + | includes = [ "*" ] + | excludes = [ "non-tracked-trace"] + | } + | } + | ] + |} + """.stripMargin)) + + "the TickMetricSnapshotBuffer" should { + "merge TickMetricSnapshots received until the flush timeout is reached and fix the from/to fields" in new SnapshotFixtures { + val buffer = system.actorOf(TickMetricSnapshotBuffer.props(3 seconds, testActor)) + + buffer ! firstEmpty + buffer ! secondEmpty + buffer ! thirdEmpty + + within(2 seconds)(expectNoMsg()) + val mergedSnapshot = expectMsgType[TickMetricSnapshot] + + mergedSnapshot.from should equal(1000) + mergedSnapshot.to should equal(4000) + mergedSnapshot.metrics should be('empty) + } + + "merge empty and non-empty snapshots" in new SnapshotFixtures { + val buffer = system.actorOf(TickMetricSnapshotBuffer.props(3 seconds, testActor)) + + buffer ! firstNonEmpty + buffer ! secondNonEmpty + buffer ! thirdEmpty + + within(2 seconds)(expectNoMsg()) + val mergedSnapshot = expectMsgType[TickMetricSnapshot] + + mergedSnapshot.from should equal(1000) + mergedSnapshot.to should equal(4000) + mergedSnapshot.metrics should not be ('empty) + + val testMetricSnapshot = mergedSnapshot.metrics(testTraceIdentity).metrics(TraceMetrics.ElapsedTime).asInstanceOf[Histogram.Snapshot] + testMetricSnapshot.min should equal(10) + testMetricSnapshot.max should equal(300) + testMetricSnapshot.numberOfMeasurements should equal(6) + testMetricSnapshot.recordsIterator.toStream should contain allOf ( + MutableRecord(10, 3), + MutableRecord(20, 1), + MutableRecord(30, 1), + MutableRecord(300, 1)) + + } + } + + trait SnapshotFixtures { + val collectionContext = CollectionContext.default + val testTraceIdentity = TraceMetrics("buffer-spec-test-trace") + val traceRecorder = Kamon(Metrics).register(testTraceIdentity, TraceMetrics.Factory).get + + val firstEmpty = TickMetricSnapshot(1000, 2000, Map.empty) + val secondEmpty = TickMetricSnapshot(2000, 3000, Map.empty) + val thirdEmpty = TickMetricSnapshot(3000, 4000, Map.empty) + + traceRecorder.elapsedTime.record(10L) + traceRecorder.elapsedTime.record(20L) + traceRecorder.elapsedTime.record(30L) + val firstNonEmpty = TickMetricSnapshot(1000, 2000, Map( + (testTraceIdentity -> traceRecorder.collect(collectionContext)))) + + traceRecorder.elapsedTime.record(10L) + traceRecorder.elapsedTime.record(10L) + traceRecorder.elapsedTime.record(300L) + val secondNonEmpty = TickMetricSnapshot(1000, 2000, Map( + (testTraceIdentity -> traceRecorder.collect(collectionContext)))) + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/TraceMetricsSpec.scala b/kamon-core/src/test/scala/kamon/metric/TraceMetricsSpec.scala new file mode 100644 index 00000000..dab9b52a --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/TraceMetricsSpec.scala @@ -0,0 +1,92 @@ +package kamon.metric + +import akka.actor.ActorSystem +import akka.testkit.{ ImplicitSender, TestKitBase } +import com.typesafe.config.ConfigFactory +import kamon.Kamon +import kamon.metric.TraceMetrics.TraceMetricsSnapshot +import kamon.trace.TraceContext.SegmentIdentity +import kamon.trace.TraceRecorder +import org.scalatest.{ Matchers, WordSpecLike } + +class TraceMetricsSpec extends TestKitBase with WordSpecLike with Matchers with ImplicitSender { + implicit lazy val system: ActorSystem = ActorSystem("trace-metrics-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | tick-interval = 1 hour + | filters = [ + | { + | trace { + | includes = [ "*" ] + | excludes = [ "non-tracked-trace"] + | } + | } + | ] + | precision { + | default-histogram-precision { + | highest-trackable-value = 3600000000000 + | significant-value-digits = 2 + | } + | + | default-min-max-counter-precision { + | refresh-interval = 1 second + | highest-trackable-value = 999999999 + | significant-value-digits = 2 + | } + | } + |} + """.stripMargin)) + + "the TraceMetrics" should { + "record the elapsed time between a trace creation and finish" in { + for (repetitions ← 1 to 10) { + TraceRecorder.withNewTraceContext("record-elapsed-time") { + TraceRecorder.finish() + } + } + + val snapshot = takeSnapshotOf("record-elapsed-time") + snapshot.elapsedTime.numberOfMeasurements should be(10) + snapshot.segments shouldBe empty + } + + "record the elapsed time for segments that occur inside a given trace" in { + TraceRecorder.withNewTraceContext("trace-with-segments") { + val segmentHandle = TraceRecorder.startSegment(TraceMetricsTestSegment("test-segment")) + segmentHandle.get.finish() + TraceRecorder.finish() + } + + val snapshot = takeSnapshotOf("trace-with-segments") + snapshot.elapsedTime.numberOfMeasurements should be(1) + snapshot.segments.size should be(1) + snapshot.segments(TraceMetricsTestSegment("test-segment")).numberOfMeasurements should be(1) + } + + "record the elapsed time for segments that finish after their correspondent trace has finished" in { + val segmentHandle = TraceRecorder.withNewTraceContext("closing-segment-after-trace") { + val sh = TraceRecorder.startSegment(TraceMetricsTestSegment("test-segment")) + TraceRecorder.finish() + sh + } + + val beforeFinishSegmentSnapshot = takeSnapshotOf("closing-segment-after-trace") + beforeFinishSegmentSnapshot.elapsedTime.numberOfMeasurements should be(1) + beforeFinishSegmentSnapshot.segments.size should be(0) + + segmentHandle.get.finish() + + val afterFinishSegmentSnapshot = takeSnapshotOf("closing-segment-after-trace") + afterFinishSegmentSnapshot.elapsedTime.numberOfMeasurements should be(0) + afterFinishSegmentSnapshot.segments.size should be(1) + afterFinishSegmentSnapshot.segments(TraceMetricsTestSegment("test-segment")).numberOfMeasurements should be(1) + } + } + + case class TraceMetricsTestSegment(name: String) extends SegmentIdentity + + def takeSnapshotOf(traceName: String): TraceMetricsSnapshot = { + val recorder = Kamon(Metrics).register(TraceMetrics(traceName), TraceMetrics.Factory) + recorder.get.collect(CollectionContext.default) + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/UserMetricsSpec.scala b/kamon-core/src/test/scala/kamon/metric/UserMetricsSpec.scala new file mode 100644 index 00000000..57bc3d0d --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/UserMetricsSpec.scala @@ -0,0 +1,278 @@ +package kamon.metric + +import akka.actor.ActorSystem +import akka.testkit.{ ImplicitSender, TestKitBase } +import com.typesafe.config.ConfigFactory +import kamon.Kamon +import kamon.metric.UserMetrics.{ UserGauge, UserMinMaxCounter, UserCounter, UserHistogram } +import kamon.metric.instrument.Histogram +import kamon.metric.instrument.Histogram.MutableRecord +import org.scalatest.{ Matchers, WordSpecLike } +import scala.concurrent.duration._ + +class UserMetricsSpec extends TestKitBase with WordSpecLike with Matchers with ImplicitSender { + implicit lazy val system: ActorSystem = ActorSystem("actor-metrics-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | flush-interval = 1 hour + | precision { + | default-histogram-precision { + | highest-trackable-value = 10000 + | significant-value-digits = 2 + | } + | + | default-min-max-counter-precision { + | refresh-interval = 1 hour + | highest-trackable-value = 1000 + | significant-value-digits = 2 + | } + | + | default-gauge-precision { + | refresh-interval = 1 hour + | highest-trackable-value = 999999999 + | significant-value-digits = 2 + | } + | } + |} + """.stripMargin)) + + "the UserMetrics extension" should { + "allow registering a fully configured Histogram and get the same Histogram if registering again" in { + val histogramA = Kamon(UserMetrics).registerHistogram("histogram-with-settings", Histogram.Precision.Normal, 10000L) + val histogramB = Kamon(UserMetrics).registerHistogram("histogram-with-settings", Histogram.Precision.Normal, 10000L) + + histogramA shouldBe theSameInstanceAs(histogramB) + } + + "return the original Histogram when registering a fully configured Histogram for second time but with different settings" in { + val histogramA = Kamon(UserMetrics).registerHistogram("histogram-with-settings", Histogram.Precision.Normal, 10000L) + val histogramB = Kamon(UserMetrics).registerHistogram("histogram-with-settings", Histogram.Precision.Fine, 50000L) + + histogramA shouldBe theSameInstanceAs(histogramB) + } + + "allow registering a Histogram that takes the default configuration from the kamon.metrics.precision settings" in { + Kamon(UserMetrics).registerHistogram("histogram-with-default-configuration") + } + + "allow registering a Counter and get the same Counter if registering again" in { + val counterA = Kamon(UserMetrics).registerCounter("counter") + val counterB = Kamon(UserMetrics).registerCounter("counter") + + counterA shouldBe theSameInstanceAs(counterB) + } + + "allow registering a fully configured MinMaxCounter and get the same MinMaxCounter if registering again" in { + val minMaxCounterA = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-settings", Histogram.Precision.Normal, 1000L, 1 second) + val minMaxCounterB = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-settings", Histogram.Precision.Normal, 1000L, 1 second) + + minMaxCounterA shouldBe theSameInstanceAs(minMaxCounterB) + } + + "return the original MinMaxCounter when registering a fully configured MinMaxCounter for second time but with different settings" in { + val minMaxCounterA = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-settings", Histogram.Precision.Normal, 1000L, 1 second) + val minMaxCounterB = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-settings", Histogram.Precision.Fine, 5000L, 1 second) + + minMaxCounterA shouldBe theSameInstanceAs(minMaxCounterB) + } + + "allow registering a MinMaxCounter that takes the default configuration from the kamon.metrics.precision settings" in { + Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-default-configuration") + } + + "allow registering a fully configured Gauge and get the same Gauge if registering again" in { + val gaugeA = Kamon(UserMetrics).registerGauge("gauge-with-settings", Histogram.Precision.Normal, 1000L, 1 second) { + () ⇒ 1L + } + + val gaugeB = Kamon(UserMetrics).registerGauge("gauge-with-settings", Histogram.Precision.Normal, 1000L, 1 second) { + () ⇒ 1L + } + + gaugeA shouldBe theSameInstanceAs(gaugeB) + } + + "return the original Gauge when registering a fully configured Gauge for second time but with different settings" in { + val gaugeA = Kamon(UserMetrics).registerGauge("gauge-with-settings", Histogram.Precision.Normal, 1000L, 1 second) { + () ⇒ 1L + } + + val gaugeB = Kamon(UserMetrics).registerGauge("gauge-with-settings", Histogram.Precision.Fine, 5000L, 1 second) { + () ⇒ 1L + } + + gaugeA shouldBe theSameInstanceAs(gaugeB) + } + + "allow registering a Gauge that takes the default configuration from the kamon.metrics.precision settings" in { + Kamon(UserMetrics).registerGauge("gauge-with-default-configuration") { + () ⇒ 2L + } + } + + "generate a snapshot containing all the registered user metrics and reset all instruments" in { + val context = CollectionContext.default + val userMetricsRecorder = Kamon(Metrics).register(UserMetrics, UserMetrics.Factory).get + + val histogramWithSettings = Kamon(UserMetrics).registerHistogram("histogram-with-settings", Histogram.Precision.Normal, 10000L) + val histogramWithDefaultConfiguration = Kamon(UserMetrics).registerHistogram("histogram-with-default-configuration") + val counter = Kamon(UserMetrics).registerCounter("counter") + val minMaxCounterWithSettings = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-with-settings", Histogram.Precision.Normal, 1000L, 1 second) + val gauge = Kamon(UserMetrics).registerGauge("gauge-with-default-configuration") { () ⇒ 2L } + + // lets put some values on those metrics + histogramWithSettings.record(10) + histogramWithSettings.record(20, 100) + histogramWithDefaultConfiguration.record(40) + + counter.increment() + counter.increment(16) + + minMaxCounterWithSettings.increment(43) + minMaxCounterWithSettings.decrement() + + gauge.record(15) + + val firstSnapshot = userMetricsRecorder.collect(context) + + firstSnapshot.histograms.size should be(2) + firstSnapshot.histograms.keys should contain allOf ( + UserHistogram("histogram-with-settings"), + UserHistogram("histogram-with-default-configuration")) + + firstSnapshot.histograms(UserHistogram("histogram-with-settings")).min shouldBe (10) + firstSnapshot.histograms(UserHistogram("histogram-with-settings")).max shouldBe (20) + firstSnapshot.histograms(UserHistogram("histogram-with-settings")).numberOfMeasurements should be(101) + firstSnapshot.histograms(UserHistogram("histogram-with-settings")).recordsIterator.toStream should contain allOf ( + MutableRecord(10, 1), + MutableRecord(20, 100)) + + firstSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).min shouldBe (40) + firstSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).max shouldBe (40) + firstSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).numberOfMeasurements should be(1) + firstSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).recordsIterator.toStream should contain only ( + MutableRecord(40, 1)) + + firstSnapshot.counters(UserCounter("counter")).count should be(17) + + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).min shouldBe (0) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).max shouldBe (43) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).numberOfMeasurements should be(3) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).recordsIterator.toStream should contain allOf ( + MutableRecord(0, 1), // min + MutableRecord(42, 1), // current + MutableRecord(43, 1)) // max + + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).min shouldBe (0) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).max shouldBe (0) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).numberOfMeasurements should be(3) + firstSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).recordsIterator.toStream should contain only ( + MutableRecord(0, 3)) // min, max and current + + firstSnapshot.gauges(UserGauge("gauge-with-default-configuration")).min shouldBe (15) + firstSnapshot.gauges(UserGauge("gauge-with-default-configuration")).max shouldBe (15) + firstSnapshot.gauges(UserGauge("gauge-with-default-configuration")).numberOfMeasurements should be(1) + firstSnapshot.gauges(UserGauge("gauge-with-default-configuration")).recordsIterator.toStream should contain only ( + MutableRecord(15, 1)) // only the manually recorded value + + val secondSnapshot = userMetricsRecorder.collect(context) + + secondSnapshot.histograms.size should be(2) + secondSnapshot.histograms.keys should contain allOf ( + UserHistogram("histogram-with-settings"), + UserHistogram("histogram-with-default-configuration")) + + secondSnapshot.histograms(UserHistogram("histogram-with-settings")).min shouldBe (0) + secondSnapshot.histograms(UserHistogram("histogram-with-settings")).max shouldBe (0) + secondSnapshot.histograms(UserHistogram("histogram-with-settings")).numberOfMeasurements should be(0) + secondSnapshot.histograms(UserHistogram("histogram-with-settings")).recordsIterator.toStream shouldBe empty + + secondSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).min shouldBe (0) + secondSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).max shouldBe (0) + secondSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).numberOfMeasurements should be(0) + secondSnapshot.histograms(UserHistogram("histogram-with-default-configuration")).recordsIterator.toStream shouldBe empty + + secondSnapshot.counters(UserCounter("counter")).count should be(0) + + secondSnapshot.minMaxCounters.size should be(2) + secondSnapshot.minMaxCounters.keys should contain allOf ( + UserMinMaxCounter("min-max-counter-with-settings"), + UserMinMaxCounter("min-max-counter-with-default-configuration")) + + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).min shouldBe (42) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).max shouldBe (42) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).numberOfMeasurements should be(3) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-settings")).recordsIterator.toStream should contain only ( + MutableRecord(42, 3)) // min, max and current + + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).min shouldBe (0) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).max shouldBe (0) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).numberOfMeasurements should be(3) + secondSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-with-default-configuration")).recordsIterator.toStream should contain only ( + MutableRecord(0, 3)) // min, max and current + + secondSnapshot.gauges(UserGauge("gauge-with-default-configuration")).min shouldBe (0) + secondSnapshot.gauges(UserGauge("gauge-with-default-configuration")).max shouldBe (0) + secondSnapshot.gauges(UserGauge("gauge-with-default-configuration")).numberOfMeasurements should be(0) + secondSnapshot.gauges(UserGauge("gauge-with-default-configuration")).recordsIterator shouldBe empty + + } + + "generate a snapshot that can be merged with another" in { + val context = CollectionContext.default + val userMetricsRecorder = Kamon(Metrics).register(UserMetrics, UserMetrics.Factory).get + + val histogram = Kamon(UserMetrics).registerHistogram("histogram-for-merge") + val counter = Kamon(UserMetrics).registerCounter("counter-for-merge") + val minMaxCounter = Kamon(UserMetrics).registerMinMaxCounter("min-max-counter-for-merge") + val gauge = Kamon(UserMetrics).registerGauge("gauge-for-merge") { () ⇒ 10L } + + histogram.record(100) + counter.increment(10) + minMaxCounter.increment(50) + minMaxCounter.decrement(10) + gauge.record(50) + + val firstSnapshot = userMetricsRecorder.collect(context) + + val extraCounter = Kamon(UserMetrics).registerCounter("extra-counter") + histogram.record(200) + extraCounter.increment(20) + minMaxCounter.increment(40) + minMaxCounter.decrement(50) + gauge.record(70) + + val secondSnapshot = userMetricsRecorder.collect(context) + val mergedSnapshot = firstSnapshot.merge(secondSnapshot, context) + + mergedSnapshot.histograms.keys should contain(UserHistogram("histogram-for-merge")) + + mergedSnapshot.histograms(UserHistogram("histogram-for-merge")).min shouldBe (100) + mergedSnapshot.histograms(UserHistogram("histogram-for-merge")).max shouldBe (200) + mergedSnapshot.histograms(UserHistogram("histogram-for-merge")).numberOfMeasurements should be(2) + mergedSnapshot.histograms(UserHistogram("histogram-for-merge")).recordsIterator.toStream should contain allOf ( + MutableRecord(100, 1), + MutableRecord(200, 1)) + + mergedSnapshot.counters(UserCounter("counter-for-merge")).count should be(10) + mergedSnapshot.counters(UserCounter("extra-counter")).count should be(20) + + mergedSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-for-merge")).min shouldBe (0) + mergedSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-for-merge")).max shouldBe (80) + mergedSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-for-merge")).numberOfMeasurements should be(6) + mergedSnapshot.minMaxCounters(UserMinMaxCounter("min-max-counter-for-merge")).recordsIterator.toStream should contain allOf ( + MutableRecord(0, 1), // min in first snapshot + MutableRecord(30, 2), // min and current in second snapshot + MutableRecord(40, 1), // current in first snapshot + MutableRecord(50, 1), // max in first snapshot + MutableRecord(80, 1)) // max in second snapshot + + mergedSnapshot.gauges(UserGauge("gauge-for-merge")).min shouldBe (50) + mergedSnapshot.gauges(UserGauge("gauge-for-merge")).max shouldBe (70) + mergedSnapshot.gauges(UserGauge("gauge-for-merge")).numberOfMeasurements should be(2) + mergedSnapshot.gauges(UserGauge("gauge-for-merge")).recordsIterator.toStream should contain allOf ( + MutableRecord(50, 1), + MutableRecord(70, 1)) + } + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/instrument/CounterSpec.scala b/kamon-core/src/test/scala/kamon/metric/instrument/CounterSpec.scala new file mode 100644 index 00000000..1a93e1f6 --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/instrument/CounterSpec.scala @@ -0,0 +1,55 @@ +package kamon.metric.instrument + +import java.nio.LongBuffer + +import kamon.metric.CollectionContext +import org.scalatest.{ Matchers, WordSpec } + +class CounterSpec extends WordSpec with Matchers { + + "a Counter" should { + "allow increment only operations" in new CounterFixture { + counter.increment() + counter.increment(10) + + intercept[UnsupportedOperationException] { + counter.increment(-10) + } + } + + "reset to zero when a snapshot is taken" in new CounterFixture { + counter.increment(100) + takeSnapshotFrom(counter).count should be(100) + takeSnapshotFrom(counter).count should be(0) + takeSnapshotFrom(counter).count should be(0) + + counter.increment(50) + takeSnapshotFrom(counter).count should be(50) + takeSnapshotFrom(counter).count should be(0) + } + + "produce a snapshot that can be merged with others" in new CounterFixture { + val counterA = Counter() + val counterB = Counter() + counterA.increment(100) + counterB.increment(200) + + val counterASnapshot = takeSnapshotFrom(counterA) + val counterBSnapshot = takeSnapshotFrom(counterB) + + counterASnapshot.merge(counterBSnapshot, collectionContext).count should be(300) + counterBSnapshot.merge(counterASnapshot, collectionContext).count should be(300) + } + + } + + trait CounterFixture { + val counter = Counter() + + val collectionContext = new CollectionContext { + val buffer: LongBuffer = LongBuffer.allocate(1) + } + + def takeSnapshotFrom(counter: Counter): Counter.Snapshot = counter.collect(collectionContext) + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/instrument/GaugeSpec.scala b/kamon-core/src/test/scala/kamon/metric/instrument/GaugeSpec.scala new file mode 100644 index 00000000..b3ff3c9f --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/instrument/GaugeSpec.scala @@ -0,0 +1,70 @@ +package kamon.metric.instrument + +import java.util.concurrent.atomic.AtomicLong + +import akka.actor.ActorSystem +import com.typesafe.config.ConfigFactory +import kamon.metric.{ Scale, CollectionContext } +import org.scalatest.{ Matchers, WordSpecLike } +import scala.concurrent.duration._ + +class GaugeSpec extends WordSpecLike with Matchers { + val system = ActorSystem("gauge-spec", ConfigFactory.parseString( + """ + |kamon.metrics { + | flush-interval = 1 hour + | precision { + | default-gauge-precision { + | refresh-interval = 100 milliseconds + | highest-trackable-value = 999999999 + | significant-value-digits = 2 + | } + | } + |} + """.stripMargin)) + + "a Gauge" should { + "automatically record the current value using the configured refresh-interval" in { + val numberOfValuesRecorded = new AtomicLong(0) + val gauge = Gauge.fromDefaultConfig(system) { () ⇒ numberOfValuesRecorded.addAndGet(1) } + + Thread.sleep(1.second.toMillis) + numberOfValuesRecorded.get() should be(10L +- 1L) + gauge.cleanup + } + + "stop automatically recording after a call to cleanup" in { + val numberOfValuesRecorded = new AtomicLong(0) + val gauge = Gauge.fromDefaultConfig(system) { () ⇒ numberOfValuesRecorded.addAndGet(1) } + + Thread.sleep(1.second.toMillis) + gauge.cleanup + numberOfValuesRecorded.get() should be(10L +- 1L) + Thread.sleep(1.second.toMillis) + numberOfValuesRecorded.get() should be(10L +- 1L) + } + + "produce a Histogram snapshot including all the recorded values" in { + val numberOfValuesRecorded = new AtomicLong(0) + val gauge = Gauge.fromDefaultConfig(system) { () ⇒ numberOfValuesRecorded.addAndGet(1) } + + Thread.sleep(1.second.toMillis) + gauge.cleanup + val snapshot = gauge.collect(CollectionContext.default) + + snapshot.numberOfMeasurements should be(10L +- 1L) + snapshot.min should be(1) + snapshot.max should be(10L +- 1L) + } + + "not record the current value when doing a collection" in { + val numberOfValuesRecorded = new AtomicLong(0) + val gauge = Gauge(Histogram.Precision.Normal, 10000L, Scale.Unit, 1 hour, system)(() ⇒ numberOfValuesRecorded.addAndGet(1)) + + val snapshot = gauge.collect(CollectionContext.default) + + snapshot.numberOfMeasurements should be(0) + numberOfValuesRecorded.get() should be(0) + } + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/instrument/HistogramSpec.scala b/kamon-core/src/test/scala/kamon/metric/instrument/HistogramSpec.scala new file mode 100644 index 00000000..cefdf0f4 --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/instrument/HistogramSpec.scala @@ -0,0 +1,130 @@ +/* + * ========================================================================================= + * Copyright © 2013 the kamon project <http://kamon.io/> + * + * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file + * except in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under the + * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, + * either express or implied. See the License for the specific language governing permissions + * and limitations under the License. + * ========================================================================================= + */ + +package kamon.metric.instrument + +import java.nio.LongBuffer + +import com.typesafe.config.ConfigFactory +import kamon.metric.CollectionContext +import org.scalatest.{ Matchers, WordSpec } + +import scala.util.Random + +class HistogramSpec extends WordSpec with Matchers { + + val histogramConfig = ConfigFactory.parseString( + """ + | + |highest-trackable-value = 100000 + |significant-value-digits = 2 + | + """.stripMargin) + + "a Histogram" should { + "allow record values within the configured range" in new HistogramFixture { + histogram.record(1000) + histogram.record(5000, count = 100) + histogram.record(10000) + } + + "fail when recording values higher than the highest trackable value" in new HistogramFixture { + intercept[IndexOutOfBoundsException] { + histogram.record(1000000) + } + } + + "reset all recorded levels to zero after a snapshot collection" in new HistogramFixture { + histogram.record(100) + histogram.record(200) + histogram.record(300) + + takeSnapshot().numberOfMeasurements should be(3) + takeSnapshot().numberOfMeasurements should be(0) + } + + "produce a snapshot" which { + "supports min, max and numberOfMeasurements operations" in new HistogramFixture { + histogram.record(100) + histogram.record(200, count = 200) + histogram.record(300) + histogram.record(900) + + val snapshot = takeSnapshot() + + snapshot.min should equal(100L +- 1L) + snapshot.max should equal(900L +- 9L) + snapshot.numberOfMeasurements should be(203) + } + + "can be merged with another snapshot" in new MultipleHistogramFixture { + val random = new Random(System.nanoTime()) + + for (repetitions ← 1 to 1000) { + // Put some values on A and Control + for (_ ← 1 to 1000) { + val newRecording = random.nextInt(100000) + controlHistogram.record(newRecording) + histogramA.record(newRecording) + } + + // Put some values on B and Control + for (_ ← 1 to 2000) { + val newRecording = random.nextInt(100000) + controlHistogram.record(newRecording) + histogramB.record(newRecording) + } + + val controlSnapshot = takeSnapshotFrom(controlHistogram) + val histogramASnapshot = takeSnapshotFrom(histogramA) + val histogramBSnapshot = takeSnapshotFrom(histogramB) + + assertEquals(controlSnapshot, histogramASnapshot.merge(histogramBSnapshot, collectionContext)) + assertEquals(controlSnapshot, histogramBSnapshot.merge(histogramASnapshot, collectionContext)) + } + } + } + } + + trait HistogramFixture { + val collectionContext = new CollectionContext { + val buffer: LongBuffer = LongBuffer.allocate(10000) + } + + val histogram = Histogram.fromConfig(histogramConfig) + + def takeSnapshot(): Histogram.Snapshot = histogram.collect(collectionContext) + } + + trait MultipleHistogramFixture { + val collectionContext = new CollectionContext { + val buffer: LongBuffer = LongBuffer.allocate(10000) + } + + val controlHistogram = Histogram.fromConfig(histogramConfig) + val histogramA = Histogram.fromConfig(histogramConfig) + val histogramB = Histogram.fromConfig(histogramConfig) + + def takeSnapshotFrom(histogram: Histogram): Histogram.Snapshot = histogram.collect(collectionContext) + + def assertEquals(left: Histogram.Snapshot, right: Histogram.Snapshot): Unit = { + left.numberOfMeasurements should equal(right.numberOfMeasurements) + left.min should equal(right.min) + left.max should equal(right.max) + left.recordsIterator.toStream should contain theSameElementsAs (right.recordsIterator.toStream) + } + } +} diff --git a/kamon-core/src/test/scala/kamon/metric/instrument/MinMaxCounterSpec.scala b/kamon-core/src/test/scala/kamon/metric/instrument/MinMaxCounterSpec.scala new file mode 100644 index 00000000..cb03664c --- /dev/null +++ b/kamon-core/src/test/scala/kamon/metric/instrument/MinMaxCounterSpec.scala @@ -0,0 +1,108 @@ +/* ========================================================================================= + * Copyright © 2013-2014 the kamon project <http://kamon.io/> + * + * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file + * except in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under the + * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, + * either express or implied. See the License for the specific language governing permissions + * and limitations under the License. + * ========================================================================================= + */ + +package kamon.metric.instrument + +import java.nio.LongBuffer + +import akka.actor.ActorSystem +import com.typesafe.config.ConfigFactory +import kamon.metric.CollectionContext +import kamon.metric.instrument.Histogram.MutableRecord +import org.scalatest.{ Matchers, WordSpecLike } + +class MinMaxCounterSpec extends WordSpecLike with Matchers { + val system = ActorSystem("min-max-counter-spec") + val minMaxCounterConfig = ConfigFactory.parseString( + """ + |refresh-interval = 1 hour + |highest-trackable-value = 1000 + |significant-value-digits = 2 + """.stripMargin) + + "the MinMaxCounter" should { + "track ascending tendencies" in new MinMaxCounterFixture { + mmCounter.increment() + mmCounter.increment(3) + mmCounter.increment() + + val snapshot = collectCounterSnapshot() + + snapshot.min should be(0) + snapshot.max should be(5) + snapshot.recordsIterator.toStream should contain allOf ( + MutableRecord(0, 1), // min + MutableRecord(5, 2)) // max and current + } + + "track descending tendencies" in new MinMaxCounterFixture { + mmCounter.increment(5) + mmCounter.decrement() + mmCounter.decrement(3) + mmCounter.decrement() + + val snapshot = collectCounterSnapshot() + + snapshot.min should be(0) + snapshot.max should be(5) + snapshot.recordsIterator.toStream should contain allOf ( + MutableRecord(0, 2), // min and current + MutableRecord(5, 1)) // max + } + + "reset the min and max to the current value after taking a snapshot" in new MinMaxCounterFixture { + mmCounter.increment(5) + mmCounter.decrement(3) + + val firstSnapshot = collectCounterSnapshot() + + firstSnapshot.min should be(0) + firstSnapshot.max should be(5) + firstSnapshot.recordsIterator.toStream should contain allOf ( + MutableRecord(0, 1), // min + MutableRecord(2, 1), // current + MutableRecord(5, 1)) // max + + val secondSnapshot = collectCounterSnapshot() + + secondSnapshot.min should be(2) + secondSnapshot.max should be(2) + secondSnapshot.recordsIterator.toStream should contain( + MutableRecord(2, 3)) // min, max and current + } + + "report zero as the min and current values if they current value fell bellow zero" in new MinMaxCounterFixture { + mmCounter.decrement(3) + + val snapshot = collectCounterSnapshot() + + snapshot.min should be(0) + snapshot.max should be(0) + snapshot.recordsIterator.toStream should contain( + MutableRecord(0, 3)) // min, max and current (even while current really is -3 + } + } + + trait MinMaxCounterFixture { + val collectionContext = new CollectionContext { + val buffer: LongBuffer = LongBuffer.allocate(64) + } + + val mmCounter = MinMaxCounter.fromConfig(minMaxCounterConfig, system).asInstanceOf[PaddedMinMaxCounter] + mmCounter.cleanup // cancel the refresh schedule + + def collectCounterSnapshot(): Histogram.Snapshot = mmCounter.collect(collectionContext) + } +} |