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1 change: 1 addition & 0 deletions conf/metrics.properties.template
Original file line number Diff line number Diff line change
Expand Up @@ -121,6 +121,7 @@
# unit seconds Unit of the poll period
# prefix EMPTY STRING Prefix to prepend to every metric's name
# protocol tcp Protocol ("tcp" or "udp") to use
# regex NONE Optional filter to send only metrics matching this regex string

# org.apache.spark.metrics.sink.StatsdSink
# Name: Default: Description:
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ package org.apache.spark.metrics.sink
import java.util.{Locale, Properties}
import java.util.concurrent.TimeUnit

import com.codahale.metrics.MetricRegistry
import com.codahale.metrics.{Metric, MetricFilter, MetricRegistry}
import com.codahale.metrics.graphite.{Graphite, GraphiteReporter, GraphiteUDP}

import org.apache.spark.SecurityManager
Expand All @@ -38,6 +38,7 @@ private[spark] class GraphiteSink(val property: Properties, val registry: Metric
val GRAPHITE_KEY_UNIT = "unit"
val GRAPHITE_KEY_PREFIX = "prefix"
val GRAPHITE_KEY_PROTOCOL = "protocol"
val GRAPHITE_KEY_REGEX = "regex"

def propertyToOption(prop: String): Option[String] = Option(property.getProperty(prop))

Expand Down Expand Up @@ -72,10 +73,20 @@ private[spark] class GraphiteSink(val property: Properties, val registry: Metric
case Some(p) => throw new Exception(s"Invalid Graphite protocol: $p")
}

val filter = propertyToOption(GRAPHITE_KEY_REGEX) match {
case Some(pattern) => new MetricFilter() {
override def matches(name: String, metric: Metric): Boolean = {
pattern.r.findFirstMatchIn(name).isDefined
}
}
case None => MetricFilter.ALL
}

val reporter: GraphiteReporter = GraphiteReporter.forRegistry(registry)
.convertDurationsTo(TimeUnit.MILLISECONDS)
.convertRatesTo(TimeUnit.SECONDS)
.prefixedWith(prefix)
.filter(filter)
.build(graphite)

override def start() {
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Original file line number Diff line number Diff line change
@@ -0,0 +1,84 @@
/*
* 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.util.Properties

import scala.collection.JavaConverters._

import com.codahale.metrics._

import org.apache.spark.{SecurityManager, SparkConf, SparkFunSuite}

class GraphiteSinkSuite extends SparkFunSuite {

test("GraphiteSink with default MetricsFilter") {
val props = new Properties
props.put("host", "127.0.0.1")
props.put("port", "54321")
val registry = new MetricRegistry
val securityMgr = new SecurityManager(new SparkConf(false))

val sink = new GraphiteSink(props, registry, securityMgr)

val gauge = new Gauge[Double] {
override def getValue: Double = 1.23
}
sink.registry.register("gauge", gauge)
sink.registry.register("anothergauge", gauge)
sink.registry.register("streaminggauge", gauge)

val metricKeys = sink.registry.getGauges(sink.filter).keySet.asScala

assert(metricKeys.equals(Set("gauge", "anothergauge", "streaminggauge")),
"Should contain all metrics registered")
}

test("GraphiteSink with regex MetricsFilter") {
val props = new Properties
props.put("host", "127.0.0.1")
props.put("port", "54321")
props.put("regex", "local-[0-9]+.driver.(CodeGenerator|BlockManager)")
val registry = new MetricRegistry
val securityMgr = new SecurityManager(new SparkConf(false))

val sink = new GraphiteSink(props, registry, securityMgr)

val gauge = new Gauge[Double] {
override def getValue: Double = 1.23
}
sink.registry.register("gauge", gauge)
sink.registry.register("anothergauge", gauge)
sink.registry.register("streaminggauge", gauge)
sink.registry.register("local-1563838109260.driver.CodeGenerator.generatedMethodSize", gauge)
sink.registry.register("local-1563838109260.driver.BlockManager.disk.diskSpaceUsed_MB", gauge)
sink.registry.register("local-1563813796998.driver.spark.streaming.nicklocal.latency", gauge)
sink.registry.register("myapp.driver.CodeGenerator.generatedMethodSize", gauge)
sink.registry.register("myapp.driver.BlockManager.disk.diskSpaceUsed_MB", gauge)

val metricKeys = sink.registry.getGauges(sink.filter).keySet.asScala

val filteredMetricKeys = Set(
"local-1563838109260.driver.CodeGenerator.generatedMethodSize",
"local-1563838109260.driver.BlockManager.disk.diskSpaceUsed_MB"
)

assert(metricKeys.equals(filteredMetricKeys),
"Should contain only metrics matches regex filter")
}
}
1 change: 1 addition & 0 deletions docs/monitoring.md
Original file line number Diff line number Diff line change
Expand Up @@ -876,6 +876,7 @@ This example shows a list of Spark configuration parameters for a Graphite sink:
"spark.metrics.conf.*.sink.graphite.period"=10
"spark.metrics.conf.*.sink.graphite.unit"=seconds
"spark.metrics.conf.*.sink.graphite.prefix"="optional_prefix"
"spark.metrics.conf.*.sink.graphite.regex"="optional_regex_to_send_matching_metrics"
```

Default values of the Spark metrics configuration are as follows:
Expand Down