aboutsummaryrefslogtreecommitdiff
path: root/kamon-datadog/src/main
diff options
context:
space:
mode:
authorIvan Topolnjak <ivantopo@gmail.com>2014-07-03 14:36:42 -0300
committerIvan Topolnjak <ivantopo@gmail.com>2014-07-03 14:36:18 -0300
commit29068fc70a3e5a17a630c2c7fff951572bb5fa21 (patch)
tree7ec2632f36e9493cb559f510fa3cc3ead7443511 /kamon-datadog/src/main
parent4d5803e579e223c4f4f5cb37ab79ca069a007949 (diff)
downloadKamon-29068fc70a3e5a17a630c2c7fff951572bb5fa21.tar.gz
Kamon-29068fc70a3e5a17a630c2c7fff951572bb5fa21.tar.bz2
Kamon-29068fc70a3e5a17a630c2c7fff951572bb5fa21.zip
! all: refactor the core metric recording instruments and accomodate UserMetrics
This PR is including several changes to the kamon-core, most notably: - Formalize the interface for Histograms, Counters and MinMaxCounters. Making sure that the interfaces are as clean as possible. - Move away from the all Vector[Measurement] based Histogram snapshot to a new approach in which we use a single long to store both the index in the counts array and the frequency on that bucket. The leftmost 2 bytes of each long are used for storing the counts array index and the remaining 6 bytes are used for the actual count, and everything is put into a simple long array. This way only the buckets that actually have values will be included in the snapshot with the smallest possible memory footprint. - Introduce Gauges. - Reorganize the instrumentation for Akka and Scala and rewrite most of the tests of this components to avoid going through the subscription protocol to test. - Introduce trace tests and fixes on various tests. - Necessary changes on new relic, datadog and statsd modules to compile with the new codebase. Pending: - Finish the upgrade of the new relic to the current model. - Introduce proper limit checks for histograms to ensure that we never pass the 2/6 bytes limits. - More testing, more testing, more testing. - Create the KamonStandalone module.
Diffstat (limited to 'kamon-datadog/src/main')
-rw-r--r--kamon-datadog/src/main/scala/kamon/datadog/Datadog.scala2
-rw-r--r--kamon-datadog/src/main/scala/kamon/datadog/DatadogMetricsSender.scala47
2 files changed, 25 insertions, 24 deletions
diff --git a/kamon-datadog/src/main/scala/kamon/datadog/Datadog.scala b/kamon-datadog/src/main/scala/kamon/datadog/Datadog.scala
index 15d5d3fe..b4358ce7 100644
--- a/kamon-datadog/src/main/scala/kamon/datadog/Datadog.scala
+++ b/kamon-datadog/src/main/scala/kamon/datadog/Datadog.scala
@@ -18,7 +18,7 @@ package kamon.datadog
import akka.actor._
import kamon.Kamon
-import kamon.metrics._
+import kamon.metric._
import scala.concurrent.duration._
import scala.collection.JavaConverters._
import com.typesafe.config.Config
diff --git a/kamon-datadog/src/main/scala/kamon/datadog/DatadogMetricsSender.scala b/kamon-datadog/src/main/scala/kamon/datadog/DatadogMetricsSender.scala
index 028e9608..17e19d0b 100644
--- a/kamon-datadog/src/main/scala/kamon/datadog/DatadogMetricsSender.scala
+++ b/kamon-datadog/src/main/scala/kamon/datadog/DatadogMetricsSender.scala
@@ -20,11 +20,10 @@ import akka.actor.{ ActorSystem, Props, ActorRef, Actor }
import akka.io.{ Udp, IO }
import java.net.InetSocketAddress
import akka.util.ByteString
-import kamon.metrics.Subscriptions.TickMetricSnapshot
-import kamon.metrics.MetricSnapshot.Measurement
-import kamon.metrics.InstrumentTypes.{ Counter, Gauge, Histogram, InstrumentType }
+import kamon.metric.Subscriptions.TickMetricSnapshot
import java.text.{ DecimalFormatSymbols, DecimalFormat }
-import kamon.metrics.{ MetricIdentity, MetricGroupIdentity }
+import kamon.metric.instrument.{ Counter, Histogram }
+import kamon.metric.{ MetricIdentity, MetricGroupIdentity }
import java.util.Locale
class DatadogMetricsSender(remote: InetSocketAddress, maxPacketSizeInBytes: Long) extends Actor with UdpExtensionProvider {
@@ -50,7 +49,7 @@ class DatadogMetricsSender(remote: InetSocketAddress, maxPacketSizeInBytes: Long
}
def writeMetricsToRemote(tick: TickMetricSnapshot, udpSender: ActorRef): Unit = {
- val dataBuilder = new MetricDataPacketBuilder(maxPacketSizeInBytes, udpSender, remote)
+ val packetBuilder = new MetricDataPacketBuilder(maxPacketSizeInBytes, udpSender, remote)
for {
(groupIdentity, groupSnapshot) ← tick.metrics
@@ -59,33 +58,35 @@ class DatadogMetricsSender(remote: InetSocketAddress, maxPacketSizeInBytes: Long
val key = buildMetricName(groupIdentity, metricIdentity)
- for (measurement ← metricSnapshot.measurements) {
- val measurementData = formatMeasurement(groupIdentity, metricIdentity, measurement, metricSnapshot.instrumentType)
- dataBuilder.appendMeasurement(key, measurementData)
+ metricSnapshot match {
+ case hs: Histogram.Snapshot ⇒
+ hs.recordsIterator.foreach { record ⇒
+ val measurementData = formatMeasurement(groupIdentity, metricIdentity, encodeStatsDTimer(record.level, record.count))
+ packetBuilder.appendMeasurement(key, measurementData)
+
+ }
+
+ case cs: Counter.Snapshot ⇒
+ val measurementData = formatMeasurement(groupIdentity, metricIdentity, encodeStatsDCounter(cs.count))
+ packetBuilder.appendMeasurement(key, measurementData)
}
}
- dataBuilder.flush()
+ packetBuilder.flush()
}
- def formatMeasurement(groupIdentity: MetricGroupIdentity, metricIdentity: MetricIdentity, measurement: Measurement,
- instrumentType: InstrumentType): String = {
-
- StringBuilder.newBuilder.append(buildMeasurementData(measurement, instrumentType))
+ def formatMeasurement(groupIdentity: MetricGroupIdentity, metricIdentity: MetricIdentity, measurementData: String): String =
+ StringBuilder.newBuilder
+ .append(measurementData)
.append(buildIdentificationTag(groupIdentity, metricIdentity))
.result()
- }
- def buildMeasurementData(measurement: Measurement, instrumentType: InstrumentType): String = {
- def dataDogDMetricFormat(value: String, metricType: String, samplingRate: Double = 1D): String =
- s"$value|$metricType${(if (samplingRate != 1D) "|@" + samplingRateFormat.format(samplingRate) else "")}"
-
- instrumentType match {
- case Histogram ⇒ dataDogDMetricFormat(measurement.value.toString, "ms", (1D / measurement.count))
- case Gauge ⇒ dataDogDMetricFormat(measurement.value.toString, "g")
- case Counter ⇒ dataDogDMetricFormat(measurement.count.toString, "c")
- }
+ def encodeStatsDTimer(level: Long, count: Long): String = {
+ val samplingRate: Double = 1D / count
+ level.toString + "|ms" + (if (samplingRate != 1D) "|@" + samplingRateFormat.format(samplingRate) else "")
}
+ def encodeStatsDCounter(count: Long): String = count.toString + "|c"
+
def buildMetricName(groupIdentity: MetricGroupIdentity, metricIdentity: MetricIdentity): String =
s"$appName.${groupIdentity.category.name}.${metricIdentity.name}"