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[SPARK-18364][YARN] Expose metrics for YarnShuffleService #149

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Mar 24, 2017
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Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,9 @@

import java.io.File;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.lang.reflect.Method;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.util.List;
import java.util.Map;
Expand All @@ -35,9 +36,12 @@
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.permission.FsPermission;
import org.apache.hadoop.metrics2.MetricsSource;
import org.apache.hadoop.metrics2.MetricsSystem;
import org.apache.hadoop.metrics2.impl.MetricsSystemImpl;
import org.apache.hadoop.metrics2.lib.DefaultMetricsSystem;
import org.apache.hadoop.yarn.api.records.ContainerId;
import org.apache.hadoop.yarn.server.api.*;
import org.apache.spark.network.util.LevelDBProvider;
import org.iq80.leveldb.DB;
import org.iq80.leveldb.DBIterator;

Expand All @@ -50,9 +54,11 @@
import org.apache.spark.network.server.TransportServer;
import org.apache.spark.network.server.TransportServerBootstrap;
import org.apache.spark.network.shuffle.ExternalShuffleBlockHandler;
import org.apache.spark.network.util.LevelDBProvider;
import org.apache.spark.network.util.TransportConf;
import org.apache.spark.network.yarn.util.HadoopConfigProvider;


/**
* An external shuffle service used by Spark on Yarn.
*
Expand Down Expand Up @@ -110,7 +116,6 @@ public class YarnShuffleService extends AuxiliaryService {

// The actual server that serves shuffle files
private TransportServer shuffleServer = null;

private Configuration _conf = null;

// The recovery path used to shuffle service recovery
Expand Down Expand Up @@ -166,6 +171,23 @@ protected void serviceInit(Configuration conf) throws Exception {
TransportConf transportConf = new TransportConf("shuffle", new HadoopConfigProvider(conf));
blockHandler = new ExternalShuffleBlockHandler(transportConf, registeredExecutorFile);

// register metrics on the block handler into the Node Manager's metrics system.
YarnShuffleServiceMetrics serviceMetrics = new YarnShuffleServiceMetrics(blockHandler.getAllMetrics());
MetricsSystem defaultMetricsSystem = DefaultMetricsSystem.instance();
try {
MetricsSystemImpl metricsSystem = (MetricsSystemImpl) defaultMetricsSystem;

Method registerSourceMethod = metricsSystem.getClass().getDeclaredMethod("registerSource",
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Is it standard to use reflection in such a context?

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Unfortunately this method is package private so that's the only way I can call it. The only way the Node Manager exposes to register sources is sources formatted in the Hadoop Metrics system, which isn't compatible with the dropwizard metrics system Spark uses. That's why I have to do the ugly conversion in YarnShuffleServiceMetrics between the systems

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We can just name the package accordingly - but either way is not ideal, and I have no preference between the two.

String.class, String.class, MetricsSource.class);
registerSourceMethod.setAccessible(true);
registerSourceMethod.invoke(metricsSystem, "shuffleservice", "Metrics on the Spark " +
"Shuffle Service", serviceMetrics);
logger.info("Registered metrics with Hadoop's DefaultMetricsSystem");
} catch (Exception e) {
logger.warn("Unable to register Spark Shuffle Service metrics with Node Manager; " +
"proceeding without metrics", e);
}

// If authentication is enabled, set up the shuffle server to use a
// special RPC handler that filters out unauthenticated fetch requests
List<TransportServerBootstrap> bootstraps = Lists.newArrayList();
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,116 @@
/*
* 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.network.yarn;

import com.codahale.metrics.Gauge;
import com.codahale.metrics.Meter;
import com.codahale.metrics.Metric;
import com.codahale.metrics.MetricSet;
import com.codahale.metrics.Timer;
import org.apache.hadoop.metrics2.MetricsCollector;
import org.apache.hadoop.metrics2.MetricsInfo;
import org.apache.hadoop.metrics2.MetricsRecordBuilder;
import org.apache.hadoop.metrics2.MetricsSource;

import java.util.Map;

/**
* Modeled off of YARN's NodeManagerMetrics.
*/
public class YarnShuffleServiceMetrics implements MetricsSource {

private final MetricSet metricSet;

public YarnShuffleServiceMetrics(MetricSet metricSet) {
this.metricSet = metricSet;
}

/**
* Get metrics from the source
*
* @param collector to contain the resulting metrics snapshot
* @param all if true, return all metrics even if unchanged.
*/
@Override
public void getMetrics(MetricsCollector collector, boolean all) {
MetricsRecordBuilder metricsRecordBuilder = collector.addRecord("shuffleService");

for (Map.Entry<String, Metric> entry : metricSet.getMetrics().entrySet()) {
String name = entry.getKey();

// The metric types used in ExternalShuffleBlockHandler.ShuffleMetrics
if (entry.getValue() instanceof Timer) {
Timer t = (Timer) entry.getValue();
metricsRecordBuilder
.addCounter(new ShuffleServiceMetricsInfo(name + "_count", "Count of timer " + name),
t.getCount())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate15", "15 minute rate of timer " + name),
t.getFifteenMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate5", "5 minute rate of timer " + name),
t.getFiveMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate1", "1 minute rate of timer " + name),
t.getOneMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rateMean", "Mean rate of timer " + name),
t.getMeanRate());
} else if (entry.getValue() instanceof Meter) {
Meter m = (Meter) entry.getValue();
metricsRecordBuilder
.addCounter(new ShuffleServiceMetricsInfo(name + "_count", "Count of meter " + name),
m.getCount())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate15", "15 minute rate of meter " + name),
m.getFifteenMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate5", "5 minute rate of meter " + name),
m.getFiveMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rate1", "1 minute rate of meter " + name),
m.getOneMinuteRate())
.addGauge(new ShuffleServiceMetricsInfo(name + "_rateMean", "Mean rate of meter " + name),
m.getMeanRate());
} else if (entry.getValue() instanceof Gauge) {
Gauge m = (Gauge) entry.getValue();
Object gaugeValue = m.getValue();
if (gaugeValue instanceof Integer) {
Integer intValue = (Integer) gaugeValue;
metricsRecordBuilder
.addGauge(new ShuffleServiceMetricsInfo(name, "Integer value of " +
"gauge " + name), intValue.intValue());
}
}
}
}

private static class ShuffleServiceMetricsInfo implements MetricsInfo {

private final String name;
private final String description;

ShuffleServiceMetricsInfo(String name, String description) {
this.name = name;
this.description = description;
}

@Override
public String name() {
return name;
}

@Override
public String description() {
return description;
}
}
}