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/*
* =========================================================================================
* 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.datadog
import akka.testkit.{ TestKitBase, TestProbe }
import akka.actor.{ Props, ActorRef, ActorSystem }
import kamon.Kamon
import kamon.metric.instrument.Histogram.Precision
import kamon.metric.instrument.{ Counter, Histogram, HdrHistogram, LongAdderCounter }
import org.scalatest.{ Matchers, WordSpecLike }
import kamon.metric._
import akka.io.Udp
import kamon.metric.Subscriptions.TickMetricSnapshot
import java.lang.management.ManagementFactory
import java.net.InetSocketAddress
import com.typesafe.config.ConfigFactory
class DatadogMetricSenderSpec extends TestKitBase with WordSpecLike with Matchers {
implicit lazy val system = ActorSystem("datadog-metric-sender-spec",
ConfigFactory.parseString("kamon.datadog.max-packet-size = 256 bytes"))
val collectionContext = Kamon(Metrics).buildDefaultCollectionContext
"the DataDogMetricSender" should {
"send latency measurements" in new UdpListenerFixture {
val testMetricName = "processing-time"
val testRecorder = Histogram(1000L, Precision.Normal, Scale.Unit)
testRecorder.record(10L)
val udp = setup(Map(testMetricName -> testRecorder.collect(collectionContext)))
val Udp.Send(data, _, _) = udp.expectMsgType[Udp.Send]
data.utf8String should be(s"kamon.actor.processing-time:10|ms|#actor:user/kamon")
}
"include the sampling rate in case of multiple measurements of the same value" in new UdpListenerFixture {
val testMetricName = "processing-time"
val testRecorder = Histogram(1000L, Precision.Normal, Scale.Unit)
testRecorder.record(10L)
testRecorder.record(10L)
val udp = setup(Map(testMetricName -> testRecorder.collect(collectionContext)))
val Udp.Send(data, _, _) = udp.expectMsgType[Udp.Send]
data.utf8String should be(s"kamon.actor.processing-time:10|ms|@0.5|#actor:user/kamon")
}
"flush the packet when the max-packet-size is reached" in new UdpListenerFixture {
val testMetricName = "processing-time"
val testRecorder = Histogram(10000L, Precision.Normal, Scale.Unit)
var bytes = 0
var level = 0
while (bytes <= testMaxPacketSize) {
level += 1
testRecorder.record(level)
bytes += s"kamon.actor.$testMetricName:$level|ms|#actor:user/kamon".length
}
val udp = setup(Map(testMetricName -> testRecorder.collect(collectionContext)))
udp.expectMsgType[Udp.Send] // let the first flush pass
val Udp.Send(data, _, _) = udp.expectMsgType[Udp.Send]
data.utf8String should be(s"kamon.actor.$testMetricName:$level|ms|#actor:user/kamon")
}
"render multiple keys in the same packet using newline as separator" in new UdpListenerFixture {
val firstTestMetricName = "processing-time-1"
val secondTestMetricName = "processing-time-2"
val thirdTestMetricName = "counter"
val firstTestRecorder = Histogram(1000L, Precision.Normal, Scale.Unit)
val secondTestRecorder = Histogram(1000L, Precision.Normal, Scale.Unit)
val thirdTestRecorder = Counter()
firstTestRecorder.record(10L)
firstTestRecorder.record(10L)
secondTestRecorder.record(21L)
thirdTestRecorder.increment(4L)
val udp = setup(Map(
firstTestMetricName -> firstTestRecorder.collect(collectionContext),
secondTestMetricName -> secondTestRecorder.collect(collectionContext),
thirdTestMetricName -> thirdTestRecorder.collect(collectionContext)))
val Udp.Send(data, _, _) = udp.expectMsgType[Udp.Send]
data.utf8String should be("kamon.actor.processing-time-1:10|ms|@0.5|#actor:user/kamon\nkamon.actor.processing-time-2:21|ms|#actor:user/kamon\nkamon.actor.counter:4|c|#actor:user/kamon")
}
}
trait UdpListenerFixture {
val localhostName = ManagementFactory.getRuntimeMXBean.getName.split('@')(1)
val testMaxPacketSize = system.settings.config.getBytes("kamon.datadog.max-packet-size")
def setup(metrics: Map[String, MetricSnapshot]): TestProbe = {
val udp = TestProbe()
val metricsSender = system.actorOf(Props(new DatadogMetricsSender(new InetSocketAddress(localhostName, 0), testMaxPacketSize) {
override def udpExtension(implicit system: ActorSystem): ActorRef = udp.ref
}))
// Setup the SimpleSender
udp.expectMsgType[Udp.SimpleSender]
udp.reply(Udp.SimpleSenderReady)
// These names are not intented to match the real actor metrics, it's just about seeing more familiar data in tests.
val testGroupIdentity = new MetricGroupIdentity {
val name: String = "user/kamon"
val category: MetricGroupCategory = new MetricGroupCategory {
val name: String = "actor"
}
}
val testMetrics = for ((metricName, snapshot) ← metrics) yield {
val testMetricIdentity = new MetricIdentity {
val name: String = metricName
val tag: String = ""
}
(testMetricIdentity, snapshot)
}
metricsSender ! TickMetricSnapshot(0, 0, Map(testGroupIdentity -> new MetricGroupSnapshot {
type GroupSnapshotType = Histogram.Snapshot
def merge(that: GroupSnapshotType, context: CollectionContext): GroupSnapshotType = ???
val metrics: Map[MetricIdentity, MetricSnapshot] = testMetrics.toMap
}))
udp
}
}
}
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