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/* =========================================================================================
* 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.Kamon
import kamon.metric.ActorMetricsTestActor._
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.ActorMetrics.{ ActorMetricsRecorder, ActorMetricSnapshot }
class ActorMetricsSpec extends TestKitBase with WordSpecLike with Matchers {
implicit def self = testActor
implicit lazy val system: ActorSystem = ActorSystem("actor-metrics-spec", ConfigFactory.parseString(
"""
|kamon.metrics {
| tick-interval = 1 hour
| default-collection-context-buffer-size = 10
|
| filters = [
| {
| actor {
| includes = [ "user/tracked-*", "user/measuring-*", "user/clean-after-collect", "user/stop" ]
| 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 hour
| 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) // min, max and current
secondSnapshot.processingTime.numberOfMeasurements should be(0L)
secondSnapshot.timeInMailbox.numberOfMeasurements should be(0L)
}
"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)
}
"clean up the associated recorder when the actor is stopped" in new ActorMetricsFixtures {
val trackedActor = createTestActor("stop")
actorMetricsRecorderOf(trackedActor).get // force the actor to be initialized
Kamon(Metrics).storage.get(ActorMetrics("user/stop")) should not be empty
val deathWatcher = TestProbe()
deathWatcher.watch(trackedActor)
trackedActor ! PoisonPill
deathWatcher.expectTerminated(trackedActor)
Kamon(Metrics).storage.get(ActorMetrics("user/stop")) shouldBe empty
}
}
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
}
}
|