spark StatsdReporter 源码

  • 2022-10-20
  • 浏览 (333)

spark StatsdReporter 代码

文件路径:/core/src/main/scala/org/apache/spark/metrics/sink/StatsdReporter.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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 org.apache.spark.metrics.sink

import java.io.IOException
import java.net.{DatagramPacket, DatagramSocket, InetSocketAddress}
import java.nio.charset.StandardCharsets.UTF_8
import java.util.SortedMap
import java.util.concurrent.TimeUnit

import scala.collection.JavaConverters._
import scala.util.{Failure, Success, Try}

import com.codahale.metrics._
import org.apache.hadoop.net.NetUtils

import org.apache.spark.internal.Logging

/**
 * @see <a href="https://github.com/etsy/statsd/blob/master/docs/metric_types.md">
 *        StatsD metric types</a>
 */
private[spark] object StatsdMetricType {
  val COUNTER = "c"
  val GAUGE = "g"
  val TIMER = "ms"
  val Set = "s"
}

private[spark] class StatsdReporter(
    registry: MetricRegistry,
    host: String = "127.0.0.1",
    port: Int = 8125,
    prefix: String = "",
    filter: MetricFilter = MetricFilter.ALL,
    rateUnit: TimeUnit = TimeUnit.SECONDS,
    durationUnit: TimeUnit = TimeUnit.MILLISECONDS)
  extends ScheduledReporter(registry, "statsd-reporter", filter, rateUnit, durationUnit)
  with Logging {

  import StatsdMetricType._

  private val address = new InetSocketAddress(host, port)
  private val whitespace = "[\\s]+".r

  override def report(
      gauges: SortedMap[String, Gauge[_]],
      counters: SortedMap[String, Counter],
      histograms: SortedMap[String, Histogram],
      meters: SortedMap[String, Meter],
      timers: SortedMap[String, Timer]): Unit =
    Try(new DatagramSocket) match {
      case Failure(ioe: IOException) => logWarning("StatsD datagram socket construction failed",
        NetUtils.wrapException(host, port, NetUtils.getHostname(), 0, ioe))
      case Failure(e) => logWarning("StatsD datagram socket construction failed", e)
      case Success(s) =>
        implicit val socket = s
        val localAddress = Try(socket.getLocalAddress).map(_.getHostAddress).getOrElse(null)
        val localPort = socket.getLocalPort
        Try {
          gauges.entrySet.asScala.foreach(e => reportGauge(e.getKey, e.getValue))
          counters.entrySet.asScala.foreach(e => reportCounter(e.getKey, e.getValue))
          histograms.entrySet.asScala.foreach(e => reportHistogram(e.getKey, e.getValue))
          meters.entrySet.asScala.foreach(e => reportMetered(e.getKey, e.getValue))
          timers.entrySet.asScala.foreach(e => reportTimer(e.getKey, e.getValue))
        } recover {
          case ioe: IOException =>
            logDebug(s"Unable to send packets to StatsD", NetUtils.wrapException(
              address.getHostString, address.getPort, localAddress, localPort, ioe))
          case e: Throwable => logDebug(s"Unable to send packets to StatsD at '$host:$port'", e)
        }
        Try(socket.close()) recover {
          case ioe: IOException =>
            logDebug("Error when close socket to StatsD", NetUtils.wrapException(
              address.getHostString, address.getPort, localAddress, localPort, ioe))
          case e: Throwable => logDebug("Error when close socket to StatsD", e)
        }
    }

  private def reportGauge(name: String, gauge: Gauge[_])(implicit socket: DatagramSocket): Unit =
    formatAny(gauge.getValue).foreach(v => send(fullName(name), v, GAUGE))

  private def reportCounter(name: String, counter: Counter)(implicit socket: DatagramSocket): Unit =
    send(fullName(name), format(counter.getCount), COUNTER)

  private def reportHistogram(name: String, histogram: Histogram)
      (implicit socket: DatagramSocket): Unit = {
    val snapshot = histogram.getSnapshot
    send(fullName(name, "count"), format(histogram.getCount), GAUGE)
    send(fullName(name, "max"), format(snapshot.getMax), TIMER)
    send(fullName(name, "mean"), format(snapshot.getMean), TIMER)
    send(fullName(name, "min"), format(snapshot.getMin), TIMER)
    send(fullName(name, "stddev"), format(snapshot.getStdDev), TIMER)
    send(fullName(name, "p50"), format(snapshot.getMedian), TIMER)
    send(fullName(name, "p75"), format(snapshot.get75thPercentile), TIMER)
    send(fullName(name, "p95"), format(snapshot.get95thPercentile), TIMER)
    send(fullName(name, "p98"), format(snapshot.get98thPercentile), TIMER)
    send(fullName(name, "p99"), format(snapshot.get99thPercentile), TIMER)
    send(fullName(name, "p999"), format(snapshot.get999thPercentile), TIMER)
  }

  private def reportMetered(name: String, meter: Metered)(implicit socket: DatagramSocket): Unit = {
    send(fullName(name, "count"), format(meter.getCount), GAUGE)
    send(fullName(name, "m1_rate"), format(convertRate(meter.getOneMinuteRate)), TIMER)
    send(fullName(name, "m5_rate"), format(convertRate(meter.getFiveMinuteRate)), TIMER)
    send(fullName(name, "m15_rate"), format(convertRate(meter.getFifteenMinuteRate)), TIMER)
    send(fullName(name, "mean_rate"), format(convertRate(meter.getMeanRate)), TIMER)
  }

  private def reportTimer(name: String, timer: Timer)(implicit socket: DatagramSocket): Unit = {
    val snapshot = timer.getSnapshot
    send(fullName(name, "max"), format(convertDuration(snapshot.getMax)), TIMER)
    send(fullName(name, "mean"), format(convertDuration(snapshot.getMean)), TIMER)
    send(fullName(name, "min"), format(convertDuration(snapshot.getMin)), TIMER)
    send(fullName(name, "stddev"), format(convertDuration(snapshot.getStdDev)), TIMER)
    send(fullName(name, "p50"), format(convertDuration(snapshot.getMedian)), TIMER)
    send(fullName(name, "p75"), format(convertDuration(snapshot.get75thPercentile)), TIMER)
    send(fullName(name, "p95"), format(convertDuration(snapshot.get95thPercentile)), TIMER)
    send(fullName(name, "p98"), format(convertDuration(snapshot.get98thPercentile)), TIMER)
    send(fullName(name, "p99"), format(convertDuration(snapshot.get99thPercentile)), TIMER)
    send(fullName(name, "p999"), format(convertDuration(snapshot.get999thPercentile)), TIMER)

    reportMetered(name, timer)
  }

  private def send(name: String, value: String, metricType: String)
      (implicit socket: DatagramSocket): Unit = {
    val bytes = sanitize(s"$name:$value|$metricType").getBytes(UTF_8)
    val packet = new DatagramPacket(bytes, bytes.length, address)
    socket.send(packet)
  }

  private def fullName(names: String*): String = MetricRegistry.name(prefix, names : _*)

  private def sanitize(s: String): String = whitespace.replaceAllIn(s, "-")

  private def format(v: Any): String = formatAny(v).getOrElse("")

  private def formatAny(v: Any): Option[String] =
    v match {
      case f: Float => Some("%2.2f".format(f))
      case d: Double => Some("%2.2f".format(d))
      case b: BigDecimal => Some("%2.2f".format(b))
      case n: Number => Some(v.toString)
      case _ => None
    }
}

相关信息

spark 源码目录

相关文章

spark ConsoleSink 源码

spark CsvSink 源码

spark GraphiteSink 源码

spark JmxSink 源码

spark MetricsServlet 源码

spark PrometheusServlet 源码

spark Sink 源码

spark Slf4jSink 源码

spark StatsdSink 源码

spark package 源码

0  赞