Source Code Cross Referenced for SamplingStatCalculator.java in  » Testing » jakarta-jmeter » org » apache » jmeter » visualizers » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Testing » jakarta jmeter » org.apache.jmeter.visualizers 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /*
002:         * Licensed to the Apache Software Foundation (ASF) under one or more
003:         * contributor license agreements.  See the NOTICE file distributed with
004:         * this work for additional information regarding copyright ownership.
005:         * The ASF licenses this file to You under the Apache License, Version 2.0
006:         * (the "License"); you may not use this file except in compliance with
007:         * the License.  You may obtain a copy of the License at
008:         *
009:         *   http://www.apache.org/licenses/LICENSE-2.0
010:         *
011:         * Unless required by applicable law or agreed to in writing, software
012:         * distributed under the License is distributed on an "AS IS" BASIS,
013:         * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014:         * See the License for the specific language governing permissions and
015:         * limitations under the License.
016:         * 
017:         */
018:
019:        package org.apache.jmeter.visualizers;
020:
021:        import java.io.Serializable;
022:        import java.util.Collections;
023:        import java.util.HashMap;
024:        import java.util.List;
025:        import java.util.Vector;
026:
027:        import org.apache.jmeter.samplers.SampleResult;
028:        import org.apache.jorphan.logging.LoggingManager;
029:        import org.apache.jorphan.math.StatCalculator;
030:        import org.apache.log.Logger;
031:
032:        /**
033:         * Aggegate sample data container. Just instantiate a new instance of this
034:         * class, and then call {@link #addSample(SampleResult)} a few times, and pull
035:         * the stats out with whatever methods you prefer.
036:         * 
037:         */
038:        public class SamplingStatCalculator implements  Serializable {
039:            private static final Logger log = LoggingManager
040:                    .getLoggerForClass();
041:
042:            private final StatCalculator calculator = new StatCalculator();
043:
044:            private final List storedValues = new Vector();
045:
046:            private double maxThroughput;
047:
048:            private long firstTime;
049:
050:            private String label;
051:
052:            public SamplingStatCalculator() {// Don't (can't) use this...
053:                log.warn("Constructor only intended for use in testing"); // $NON-NLS-1$
054:            }
055:
056:            /**
057:             * Use this constructor.
058:             */
059:            public SamplingStatCalculator(String label) {
060:                this .label = label;
061:                init();
062:            }
063:
064:            /**
065:             * Essentially a copy function
066:             * 
067:             * @param stat
068:             */
069:            public SamplingStatCalculator(SamplingStatCalculator stat) {
070:                this (stat.label);
071:                addSamples(stat);
072:            }
073:
074:            private void init() {
075:                firstTime = Long.MAX_VALUE;
076:                calculator.clear();
077:                storedValues.clear();
078:                maxThroughput = Double.MIN_VALUE;
079:            }
080:
081:            public void addSamples(SamplingStatCalculator ssc) {
082:                calculator.addAll(ssc.calculator);
083:                synchronized (storedValues) {
084:                    storedValues.addAll(ssc.storedValues);
085:                    Collections.sort(storedValues);
086:                }
087:                if (firstTime > ssc.firstTime) {
088:                    firstTime = ssc.firstTime;
089:                }
090:            }
091:
092:            /**
093:             * Clear the counters (useful for differential stats)
094:             * 
095:             */
096:            public synchronized void clear() {
097:                init();
098:            }
099:
100:            public Sample getCurrentSample() {
101:                synchronized (storedValues) {
102:                    if (storedValues.size() == 0) {
103:                        return new Sample();
104:                    }
105:                    return (Sample) storedValues.get(storedValues.size() - 1);
106:                }
107:            }
108:
109:            /**
110:             * Get the elapsed time for the samples
111:             * 
112:             * @return how long the samples took
113:             */
114:            public long getElapsed() {
115:                if (getCurrentSample().getEndTime() == 0)
116:                    return 0;// No samples collected ...
117:                return getCurrentSample().getEndTime() - firstTime;
118:            }
119:
120:            /**
121:             * Returns the throughput associated to this sampler in requests per second.
122:             * May be slightly skewed because it takes the timestamps of the first and
123:             * last samples as the total time passed, and the test may actually have
124:             * started before that start time and ended after that end time.
125:             */
126:            public double getRate() {
127:                if (calculator.getCount() == 0)
128:                    return 0.0; // Better behaviour when howLong=0 or lastTime=0
129:
130:                return getCurrentSample().getThroughput();
131:            }
132:
133:            /**
134:             * Should calculate the average page size, which means divide the bytes by number
135:             * of samples - actually calculates the throughput in bytes / second
136:             * 
137:             * @deprecated use getBytesPerSecond() instead
138:             * @see #getAvgPageBytes() for the average page size
139:             */
140:            public double getPageSize() {
141:                double rate = 0;
142:                if (this .getElapsed() > 0 && calculator.getTotalBytes() > 0) {
143:                    rate = calculator.getTotalBytes()
144:                            / ((double) this .getElapsed() / 1000);
145:                }
146:                if (rate < 0) {
147:                    rate = 0;
148:                }
149:                return rate;
150:            }
151:
152:            /**
153:             * Throughput in bytes / second
154:             * 
155:             * @return throughput in bytes/second
156:             */
157:            public double getBytesPerSecond() {
158:                // Code duplicated from getPageSize()
159:                double rate = 0;
160:                if (this .getElapsed() > 0 && calculator.getTotalBytes() > 0) {
161:                    rate = calculator.getTotalBytes()
162:                            / ((double) this .getElapsed() / 1000);
163:                }
164:                if (rate < 0) {
165:                    rate = 0;
166:                }
167:                return rate;
168:            }
169:
170:            /**
171:             * Throughput in kilobytes / second
172:             * 
173:             * @return Throughput in kilobytes / second
174:             */
175:            public double getKBPerSecond() {
176:                return getBytesPerSecond() / 1024; // 1024=bytes per kb
177:            }
178:
179:            /**
180:             * calculates the average page size, which means divide the bytes by number
181:             * of samples.
182:             * 
183:             * @return average page size in bytes
184:             */
185:            public double getAvgPageBytes() {
186:                double rate = 0;
187:                if (this .getElapsed() > 0 && calculator.getTotalBytes() > 0) {
188:                    rate = calculator.getTotalBytes()
189:                            / ((double) this .getElapsed() / 1000);
190:                }
191:                if (rate < 0) {
192:                    rate = 0;
193:                }
194:                return rate;
195:            }
196:
197:            public String getLabel() {
198:                return label;
199:            }
200:
201:            /**
202:             * Records a sample.
203:             * 
204:             */
205:            public Sample addSample(SampleResult res) {
206:                long rtime, cmean, cstdv, cmedian, cpercent, eCount, endTime;
207:                double throughput;
208:                boolean rbool;
209:                synchronized (calculator) {
210:                    long byteslength = res.getBytes();
211:                    // if there was more than 1 loop in the sample, we
212:                    // handle it appropriately
213:                    if (res.getSampleCount() > 1) {
214:                        long time = res.getTime() / res.getSampleCount();
215:                        long resbytes = byteslength / res.getSampleCount();
216:                        for (int idx = 0; idx < res.getSampleCount(); idx++) {
217:                            calculator.addValue(time);
218:                            calculator.addBytes(resbytes);
219:                        }
220:                    } else {
221:                        calculator.addValue(res.getTime());
222:                        calculator.addBytes(byteslength);
223:                    }
224:                    setStartTime(res);
225:                    eCount = getCurrentSample().getErrorCount();
226:                    if (!res.isSuccessful()) {
227:                        eCount++;
228:                    }
229:                    endTime = getEndTime(res);
230:                    long howLongRunning = endTime - firstTime;
231:                    throughput = ((double) calculator.getCount() / (double) howLongRunning) * 1000.0;
232:                    if (throughput > maxThroughput) {
233:                        maxThroughput = throughput;
234:                    }
235:
236:                    rtime = res.getTime();
237:                    cmean = (long) calculator.getMean();
238:                    cstdv = (long) calculator.getStandardDeviation();
239:                    cmedian = calculator.getMedian().longValue();
240:                    cpercent = calculator.getPercentPoint(0.500).longValue();
241:                    // TODO cpercent is the same as cmedian here - why? and why pass it to "distributionLine"? 
242:                    rbool = res.isSuccessful();
243:                }
244:
245:                synchronized (storedValues) {
246:                    int count = storedValues.size() + 1;
247:                    Sample s = new Sample(null, rtime, cmean, cstdv, cmedian,
248:                            cpercent, throughput, eCount, rbool, count, endTime);
249:                    storedValues.add(s);
250:                    return s;
251:                }
252:            }
253:
254:            public List getSamples() {
255:                return storedValues;
256:            }
257:
258:            public Sample getSample(int index) {
259:                synchronized (storedValues) {
260:                    if (index < storedValues.size()) {
261:                        return (Sample) storedValues.get(index);
262:                    }
263:                    return null;
264:                }
265:            }
266:
267:            private long getEndTime(SampleResult res) {
268:                long endTime = res.getEndTime();
269:                long lastTime = getCurrentSample().getEndTime();
270:                if (lastTime < endTime) {
271:                    lastTime = endTime;
272:                }
273:                return lastTime;
274:            }
275:
276:            /**
277:             * @param res
278:             */
279:            private void setStartTime(SampleResult res) {
280:                long startTime = res.getStartTime();
281:                if (firstTime > startTime) {
282:                    // this is our first sample, set the start time to current timestamp
283:                    firstTime = startTime;
284:                }
285:            }
286:
287:            /**
288:             * Returns the raw double value of the percentage of samples with errors
289:             * that were recorded. (Between 0.0 and 1.0)
290:             * 
291:             * @return the raw double value of the percentage of samples with errors
292:             *         that were recorded.
293:             */
294:            public double getErrorPercentage() {
295:                double rval = 0.0;
296:
297:                if (calculator.getCount() == 0) {
298:                    return (rval);
299:                }
300:                rval = (double) getCurrentSample().getErrorCount()
301:                        / (double) calculator.getCount();
302:                return (rval);
303:            }
304:
305:            /**
306:             * For debugging purposes, only.
307:             */
308:            public String toString() {
309:                StringBuffer mySB = new StringBuffer();
310:
311:                mySB.append("Samples: " + this .getCount() + "  ");
312:                mySB.append("Avg: " + this .getMean() + "  ");
313:                mySB.append("Min: " + this .getMin() + "  ");
314:                mySB.append("Max: " + this .getMax() + "  ");
315:                mySB.append("Error Rate: " + this .getErrorPercentage() + "  ");
316:                mySB.append("Sample Rate: " + this .getRate());
317:                return (mySB.toString());
318:            }
319:
320:            /**
321:             * @return errorCount
322:             */
323:            public long getErrorCount() {
324:                return getCurrentSample().getErrorCount();
325:            }
326:
327:            /**
328:             * @return Returns the maxThroughput.
329:             */
330:            public double getMaxThroughput() {
331:                return maxThroughput;
332:            }
333:
334:            public HashMap getDistribution() {
335:                return calculator.getDistribution();
336:            }
337:
338:            public Number getPercentPoint(double percent) {
339:                return calculator.getPercentPoint(percent);
340:            }
341:
342:            public int getCount() {
343:                return calculator.getCount();
344:            }
345:
346:            public Number getMax() {
347:                return calculator.getMax();
348:            }
349:
350:            public double getMean() {
351:                return calculator.getMean();
352:            }
353:
354:            public Number getMeanAsNumber() {
355:                return new Long((long) calculator.getMean());
356:            }
357:
358:            public Number getMedian() {
359:                return calculator.getMedian();
360:            }
361:
362:            public Number getMin() {
363:                if (calculator.getMin().longValue() < 0) {
364:                    return new Long(0);
365:                } else {
366:                    return calculator.getMin();
367:                }
368:            }
369:
370:            public Number getPercentPoint(float percent) {
371:                return calculator.getPercentPoint(percent);
372:            }
373:
374:            public double getStandardDeviation() {
375:                return calculator.getStandardDeviation();
376:            }
377:        }
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