org.apache.hadoop.metrics2.lib.MutableStat Maven / Gradle / Ivy
/**
* 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.hadoop.metrics2.lib;
import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.metrics2.MetricsInfo;
import org.apache.hadoop.metrics2.MetricsRecordBuilder;
import org.apache.hadoop.metrics2.util.SampleStat;
import static org.apache.hadoop.metrics2.lib.Interns.*;
/**
* A mutable metric with stats.
*
* Useful for keeping throughput/latency stats.
*/
@InterfaceAudience.Public
@InterfaceStability.Evolving
public class MutableStat extends MutableMetric {
private final MetricsInfo numInfo;
private final MetricsInfo avgInfo;
private final MetricsInfo stdevInfo;
private final MetricsInfo iMinInfo;
private final MetricsInfo iMaxInfo;
private final MetricsInfo minInfo;
private final MetricsInfo maxInfo;
private final MetricsInfo iNumInfo;
private final SampleStat intervalStat = new SampleStat();
private final SampleStat prevStat = new SampleStat();
private final SampleStat.MinMax minMax = new SampleStat.MinMax();
private long numSamples = 0;
private boolean extended = false;
/**
* Construct a sample statistics metric
* @param name of the metric
* @param description of the metric
* @param sampleName of the metric (e.g. "Ops")
* @param valueName of the metric (e.g. "Time", "Latency")
* @param extended create extended stats (stdev, min/max etc.) by default.
*/
public MutableStat(String name, String description,
String sampleName, String valueName, boolean extended) {
String ucName = StringUtils.capitalize(name);
String usName = StringUtils.capitalize(sampleName);
String uvName = StringUtils.capitalize(valueName);
String desc = StringUtils.uncapitalize(description);
String lsName = StringUtils.uncapitalize(sampleName);
String lvName = StringUtils.uncapitalize(valueName);
numInfo = info(ucName +"Num"+ usName, "Number of "+ lsName +" for "+ desc);
iNumInfo = info(ucName +"INum"+ usName,
"Interval number of "+ lsName +" for "+ desc);
avgInfo = info(ucName +"Avg"+ uvName, "Average "+ lvName +" for "+ desc);
stdevInfo = info(ucName +"Stdev"+ uvName,
"Standard deviation of "+ lvName +" for "+ desc);
iMinInfo = info(ucName +"IMin"+ uvName,
"Interval min "+ lvName +" for "+ desc);
iMaxInfo = info(ucName + "IMax"+ uvName,
"Interval max "+ lvName +" for "+ desc);
minInfo = info(ucName +"Min"+ uvName, "Min "+ lvName +" for "+ desc);
maxInfo = info(ucName +"Max"+ uvName, "Max "+ lvName +" for "+ desc);
this.extended = extended;
}
/**
* Construct a snapshot stat metric with extended stat off by default
* @param name of the metric
* @param description of the metric
* @param sampleName of the metric (e.g. "Ops")
* @param valueName of the metric (e.g. "Time", "Latency")
*/
public MutableStat(String name, String description,
String sampleName, String valueName) {
this(name, description, sampleName, valueName, false);
}
/**
* Set whether to display the extended stats (stdev, min/max etc.) or not
* @param extended enable/disable displaying extended stats
*/
public synchronized void setExtended(boolean extended) {
this.extended = extended;
}
/**
* Add a number of samples and their sum to the running stat
*
* Note that although use of this method will preserve accurate mean values,
* large values for numSamples may result in inaccurate variance values due
* to the use of a single step of the Welford method for variance calculation.
* @param numSamples number of samples
* @param sum of the samples
*/
public synchronized void add(long numSamples, long sum) {
intervalStat.add(numSamples, sum);
setChanged();
}
/**
* Add a snapshot to the metric
* @param value of the metric
*/
public synchronized void add(long value) {
intervalStat.add(value);
minMax.add(value);
setChanged();
}
@Override
public synchronized void snapshot(MetricsRecordBuilder builder, boolean all) {
if (all || changed()) {
numSamples += intervalStat.numSamples();
builder.addCounter(numInfo, numSamples)
.addGauge(avgInfo, lastStat().mean());
if (extended) {
builder.addGauge(stdevInfo, lastStat().stddev())
.addGauge(iMinInfo, lastStat().min())
.addGauge(iMaxInfo, lastStat().max())
.addGauge(minInfo, minMax.min())
.addGauge(maxInfo, minMax.max())
.addGauge(iNumInfo, lastStat().numSamples());
}
if (changed()) {
if (numSamples > 0) {
intervalStat.copyTo(prevStat);
intervalStat.reset();
}
clearChanged();
}
}
}
/**
* Return a SampleStat object that supports
* calls like StdDev and Mean.
* @return SampleStat
*/
public SampleStat lastStat() {
return changed() ? intervalStat : prevStat;
}
/**
* Reset the all time min max of the metric
*/
public void resetMinMax() {
minMax.reset();
}
@Override
public String toString() {
return lastStat().toString();
}
}
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