org.apache.jmeter.visualizers.backend.SamplerMetric Maven / Gradle / Ivy
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* 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.jmeter.visualizers.backend;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.apache.jmeter.control.TransactionController;
import org.apache.jmeter.samplers.SampleResult;
import org.apache.jmeter.util.JMeterUtils;
import org.apache.jorphan.documentation.VisibleForTesting;
/**
* Sampler metric
* @since 2.13
*/
public class SamplerMetric {
private static final int SLIDING_WINDOW_SIZE = JMeterUtils.getPropDefault("backend_metrics_window", 100);
private static final int LARGE_SLIDING_WINDOW_SIZE = JMeterUtils.getPropDefault("backend_metrics_large_window", 5000);
private static volatile WindowMode globalWindowMode = WindowMode.get();
/**
* Response times for OK samples
*/
private DescriptiveStatistics okResponsesStats = new DescriptiveStatistics(LARGE_SLIDING_WINDOW_SIZE);
/**
* Response times for KO samples
*/
private DescriptiveStatistics koResponsesStats = new DescriptiveStatistics(LARGE_SLIDING_WINDOW_SIZE);
/**
* Response times for All samples
*/
private DescriptiveStatistics allResponsesStats = new DescriptiveStatistics(LARGE_SLIDING_WINDOW_SIZE);
/**
* OK, KO, ALL stats
*/
private List windowedStats = initWindowedStats();
/**
* Timeboxed percentiles don't makes sense
*/
private DescriptiveStatistics pctResponseStats = new DescriptiveStatistics(SLIDING_WINDOW_SIZE);
private int successes;
private int failures;
private int hits;
private Map errors = new HashMap<>();
private long sentBytes;
private long receivedBytes;
/**
*
*/
public SamplerMetric() {
// Limit to sliding window of SLIDING_WINDOW_SIZE values for FIXED mode
if (globalWindowMode == WindowMode.FIXED) {
for (DescriptiveStatistics stat : windowedStats) {
stat.setWindowSize(SLIDING_WINDOW_SIZE);
}
}
}
/**
* Set {@link WindowMode} to use for newly created metrics.
* @param windowMode new visibility mode
* @deprecated only used for internal testing
*/
@Deprecated
@VisibleForTesting(visibility = VisibleForTesting.Visibility.PRIVATE)
public static void setDefaultWindowMode(WindowMode windowMode) {
globalWindowMode = windowMode;
}
/**
* @return List of {@link DescriptiveStatistics}
*/
private List initWindowedStats() {
return Arrays.asList(okResponsesStats, koResponsesStats, allResponsesStats);
}
/**
* Add a {@link SampleResult} to be used in the statistics
* @param result {@link SampleResult} to be used
*/
public synchronized void add(SampleResult result) {
if(result.isSuccessful()) {
successes+=result.getSampleCount()-result.getErrorCount();
} else {
failures+=result.getErrorCount();
ErrorMetric error = new ErrorMetric(result);
errors.put(error, errors.getOrDefault(error, 0) + result.getErrorCount() );
}
long time = result.getTime();
allResponsesStats.addValue(time);
pctResponseStats.addValue(time);
if(result.isSuccessful()) {
// Should we also compute KO , all response time ?
// only take successful requests for time computing
okResponsesStats.addValue(time);
}else {
koResponsesStats.addValue(time);
}
addHits(result);
addNetworkData(result);
}
/**
* Increment traffic metrics. A Parent sampler cumulates its children metrics.
* @param result SampleResult
*/
private void addNetworkData(SampleResult result) {
if (!TransactionController.isFromTransactionController(result)) {
sentBytes += result.getSentBytes();
receivedBytes += result.getBytesAsLong();
}
}
/**
* Compute hits from res
* @param res {@link SampleResult}
*/
private void addHits(SampleResult res) {
SampleResult[] subResults = res.getSubResults();
if (!TransactionController.isFromTransactionController(res)) {
hits += 1;
}
for (SampleResult subResult : subResults) {
addHits(subResult);
}
}
/**
* Reset metric except for percentile related data
*/
public synchronized void resetForTimeInterval() {
switch (globalWindowMode) {
case FIXED:
// We don't clear responsesStats nor usersStats as it will slide as per my understanding of
// http://commons.apache.org/proper/commons-math/userguide/stat.html
break;
case TIMED:
for (DescriptiveStatistics stat : windowedStats) {
stat.clear();
}
break;
default:
// This cannot happen
}
errors.clear();
successes = 0;
failures = 0;
hits = 0;
sentBytes = 0;
receivedBytes = 0;
}
/**
* Get the number of total requests for the current time slot
*
* @return number of total requests
*/
public int getTotal() {
return successes+failures;
}
/**
* Get the number of successful requests for the current time slot
*
* @return number of successful requests
*/
public int getSuccesses() {
return successes;
}
/**
* Get the number of failed requests for the current time slot
*
* @return number of failed requests
*/
public int getFailures() {
return failures;
}
/**
* Get the maximal elapsed time for requests within sliding window
*
* @return the maximal elapsed time, or 0 if no requests have
* been added yet
*/
public double getOkMaxTime() {
return okResponsesStats.getMax();
}
/**
* Get the minimal elapsed time for requests within sliding window
*
* @return the minTime, or {@link Long#MAX_VALUE} if no requests have been
* added yet
*/
public double getOkMinTime() {
return okResponsesStats.getMin();
}
/**
* Get the arithmetic mean of the stored values
*
* @return The arithmetic mean of the stored values
*/
public double getOkMean() {
return okResponsesStats.getMean();
}
/**
* Returns an estimate for the requested percentile of the stored values.
*
* @param percentile
* the requested percentile (scaled from 0 - 100)
* @return Returns an estimate for the requested percentile of the stored
* values.
*/
public double getOkPercentile(double percentile) {
return okResponsesStats.getPercentile(percentile);
}
/**
* Get the maximal elapsed time for requests within sliding window
*
* @return the maximal elapsed time, or 0 if no requests have
* been added yet
*/
public double getKoMaxTime() {
return koResponsesStats.getMax();
}
/**
* Get the minimal elapsed time for requests within sliding window
*
* @return the minTime, or {@link Long#MAX_VALUE} if no requests have been
* added yet
*/
public double getKoMinTime() {
return koResponsesStats.getMin();
}
/**
* Get the arithmetic mean of the stored values
*
* @return The arithmetic mean of the stored values
*/
public double getKoMean() {
return koResponsesStats.getMean();
}
/**
* Returns an estimate for the requested percentile of the stored values.
*
* @param percentile
* the requested percentile (scaled from 0 - 100)
* @return Returns an estimate for the requested percentile of the stored
* values.
*/
public double getKoPercentile(double percentile) {
return koResponsesStats.getPercentile(percentile);
}
/**
* Get the maximal elapsed time for requests within sliding window
*
* @return the maximal elapsed time, or 0 if no requests have
* been added yet
*/
public double getAllMaxTime() {
return allResponsesStats.getMax();
}
/**
* Get the minimal elapsed time for requests within sliding window
*
* @return the minTime, or {@link Long#MAX_VALUE} if no requests have been
* added yet
*/
public double getAllMinTime() {
return allResponsesStats.getMin();
}
/**
* Get the arithmetic mean of the stored values
*
* @return The arithmetic mean of the stored values
*/
public double getAllMean() {
return allResponsesStats.getMean();
}
/**
* Returns an estimate for the requested percentile of the stored values.
*
* @param percentile
* the requested percentile (scaled from 0 - 100)
* @return Returns an estimate for the requested percentile of the stored
* values.
*/
public double getAllPercentile(double percentile) {
return pctResponseStats.getPercentile(percentile);
}
/**
* Returns hits to server
* @return the hits
*/
public int getHits() {
return hits;
}
/**
* Returns by type ( response code and message ) the count of errors occurs
* @return errors
*/
public Map getErrors() {
return errors;
}
/**
* @return the sentBytes
*/
public long getSentBytes() {
return sentBytes;
}
/**
* @return the receivedBytes
*/
public long getReceivedBytes() {
return receivedBytes;
}
}