Author: [email protected]
Date: Wed Apr 6 09:22:57 2011
New Revision: 946
Log:
[AMDATU-340] Fixed proper working of perf test in case of small amount of
samples
Modified:
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ReportSummary.java
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ZSamples.java
trunk/etc/performancetest/src/main/resources/report_template.html
Modified:
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ReportSummary.java
==============================================================================
---
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ReportSummary.java
(original)
+++
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ReportSummary.java
Wed Apr 6 09:22:57 2011
@@ -41,13 +41,11 @@
private List<JMeterPlanReport> m_reports = new
ArrayList<JMeterPlanReport>();
private String m_versionX;
private String m_versionY;
- private String m_reportName;
private String m_reportFileName;
private String m_template = null;
-
+
public ReportSummary(ApplicationContext context, String reportName) {
m_context = context;
- m_reportName = reportName;
m_reportFileName = context.resultsDir + File.separator + reportName +
".html";
}
@@ -96,7 +94,7 @@
System.out.println("--------------------------------------------------\n");
}
}
-
+
private String loadHtmlTemplate() throws IOException {
if (m_template == null) {
URL url =
getClass().getClassLoader().getResources("report_template.html").nextElement();
@@ -114,7 +112,7 @@
private String getResultTable() {
StringBuffer table = new StringBuffer();
for (JMeterPlanReport report : m_reports) {
-
+
table.append("<table border=\"1\">");
table.append("<tr><td>#Processors</td><td>" +
Runtime.getRuntime().availableProcessors() + "</td></tr>");
table.append("<tr><td>Memory</td><td>" +
toMegaBytes(Runtime.getRuntime().freeMemory()) + " free of available " +
toMegaBytes(Runtime.getRuntime().maxMemory()) + "</td></tr>");
@@ -151,31 +149,35 @@
// Mean of X
table.append("<tr><td>M<sub>x</sub></td>");
for (ZSamples sample : report.getSamples()) {
- table.append("<td>" + round(sample.sampleMeanX) + "</td>");
+ if (sample.sampleMeanX.isNaN()) {
+ table.append(reallyBad("-"));
+ } else {
+ table.append("<td>" + round(sample.sampleMeanX) + "</td>");
+ }
}
table.append("</tr>");
-
+
// Minimum of X
table.append("<tr><td>Min<sub>x</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.minX) + "</td>");
}
table.append("</tr>");
-
+
// Maximum of X
table.append("<tr><td>Max<sub>x</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.maxX) + "</td>");
}
table.append("</tr>");
-
+
// Median of X
table.append("<tr><td>Median<sub>x</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.medianX) + "</td>");
}
table.append("</tr>");
-
+
// Wald-Wolfowitz probability of X
table.append("<tr><td>Wald-Wolfowitz<sub>x</sub></td>");
for (ZSamples sample : report.getSamples()) {
@@ -190,31 +192,35 @@
// Mean of Y
table.append("<tr><td>M<sub>y</sub></td>");
for (ZSamples sample : report.getSamples()) {
- table.append("<td>" + round(sample.sampleMeanY) + "</td>");
+ if (sample.sampleMeanY.isNaN()) {
+ table.append(reallyBad("-"));
+ } else {
+ table.append("<td>" + round(sample.sampleMeanY) + "</td>");
+ }
}
table.append("</tr>");
-
+
// Minimum of Y
table.append("<tr><td>Min<sub>y</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.minY) + "</td>");
}
table.append("</tr>");
-
+
// Maximum of Y
table.append("<tr><td>Max<sub>y</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.maxY) + "</td>");
}
table.append("</tr>");
-
+
// Median of Y
table.append("<tr><td>Median<sub>y</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.medianY) + "</td>");
}
table.append("</tr>");
-
+
// Wald-Wolfowitz probability of X
table.append("<tr><td>Wald-Wolfowitz<sub>y</sub></td>");
for (ZSamples sample : report.getSamples()) {
@@ -239,18 +245,20 @@
table.append("<td>" + round(sample.sampleSD) + "</td>");
}
table.append("</tr>");
-
+
// Median of Z
table.append("<tr><td>Median<sub>z</sub></td>");
for (ZSamples sample : report.getSamples()) {
table.append("<td>" + round(sample.medianZ) + "</td>");
}
table.append("</tr>");
-
+
// Wald-Wolfowitz probability of Z
table.append("<tr><td>Wald-Wolfowitz<sub>z</sub></td>");
for (ZSamples sample : report.getSamples()) {
- if (sample.waldWolfowitzZ < 0.01) {
+ if (sample.waldWolfowitzZ.isNaN()) {
+ table.append(reallyBad("-"));
+ } else if (sample.waldWolfowitzZ < 0.01) {
table.append(bad(round(100*sample.waldWolfowitzZ) + "%"));
} else {
table.append("<td>"+ round(100*sample.waldWolfowitzZ) +
"%</td>");
@@ -275,19 +283,22 @@
// [power] difference between X and Y
table.append("<tr><td>D<sub>z</sub></td>");
for (ZSamples sample : report.getSamples()) {
- if (sample.D < 0) {
+ if (sample.D.isNaN()) {
+ table.append("<td>-</td>");
+ } else if (sample.D < 0) {
table.append(good(round(sample.D)));
} else {
table.append(bad(round(sample.D)));
}
-
}
table.append("</tr>");
// Percentile [power] difference between X and Y
table.append("<tr><td>Δ<sub>z</sub></td>");
for (ZSamples sample : report.getSamples()) {
- if (sample.delta < -0.05) {
+ if (sample.delta.isNaN()) {
+ table.append("<td>-</td>");
+ } else if (sample.delta < -0.05) {
table.append(reallyGood(round(100*sample.delta) + "%"));
} else if (sample.delta <= 0) {
table.append(good(round(100*sample.delta) + "%"));
@@ -338,14 +349,14 @@
}
return table.toString();
}
-
+
public void toHtmlFile() throws IOException {
// Read the template
String report = loadHtmlTemplate();
report = report.replace("${x_versus_y}", "Amdatu " + m_versionX + "
(X) versus Amdatu " + m_versionY + " (Y)");
report = report.replace("${results_header}", "Results for JMeter plan
'" + m_reports.get(0).getName() + "'");
report = report.replace("${results}", getResultTable());
-
+
FileOutputStream fos = null;
PrintWriter pw = null;
try {
@@ -384,7 +395,7 @@
private String bad(Object value) {
return "<td class=\"bad\">" + value + "</td>";
}
-
+
private String reallyGood(Object value) {
return "<td class=\"reallygood\">" + value + "</td>";
}
Modified:
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ZSamples.java
==============================================================================
---
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ZSamples.java
(original)
+++
trunk/etc/performancetest/src/main/java/org/amdatu/test/performance/analysis/ZSamples.java
Wed Apr 6 09:22:57 2011
@@ -53,15 +53,15 @@
double medianZ;
double waldWolfowitzX = 0;
double waldWolfowitzY = 0;
- double waldWolfowitzZ = 0;
- double sampleMeanX;
- double sampleMeanY;
+ Double waldWolfowitzZ = Double.NaN;
+ Double sampleMeanX = Double.NaN;
+ Double sampleMeanY = Double.NaN;
double sampleMean;
double sampleSD;
double t;
double p;
- double D;
- double delta;
+ Double D = Double.NaN;
+ Double delta = Double.NaN;
int sampleMeanSize = 0;
int sampleSize = 0;
private ApplicationContext m_context;
@@ -117,15 +117,16 @@
// P[((mean(X)-D)/sd)*sqrt(n)] >= (1-power)
// Effectively this tell us that 'with probability [power] we can
ensure that the difference in means
// between X and Y is at least D'
- if (t <= 0) {
- double valueOfT =
tDistribution.inverseCumulativeProbability(1-power);
- D = sampleMean-(sampleSD*valueOfT)/Math.sqrt(sampleSize);
- } else {
- double valueOfT =
tDistribution.inverseCumulativeProbability(power);
- D = sampleMean-(sampleSD*valueOfT)/Math.sqrt(sampleSize);
- }
-
- delta = D/sampleMeanY;
+ if (!H0) {
+ if (t <= 0) {
+ double valueOfT =
tDistribution.inverseCumulativeProbability(1-power);
+ D = sampleMean-(sampleSD*valueOfT)/Math.sqrt(sampleSize);
+ } else {
+ double valueOfT =
tDistribution.inverseCumulativeProbability(power);
+ D = sampleMean-(sampleSD*valueOfT)/Math.sqrt(sampleSize);
+ }
+ delta = D/sampleMeanY;
+ }
}
private List<Double> getZ() throws IOException, MathException {
@@ -139,8 +140,8 @@
try {
fos = new FileOutputStream(samplesZOutput);
pw = new PrintWriter(fos);
- sampleMeanX = 0;
- sampleMeanY = 0;
+ sampleMeanX = new Double(0);
+ sampleMeanY = new Double(0);
for (int i=0; i<m_samplesX.size(); i++) {
double zi = m_samplesX.get(i) - m_samplesY.get(i);
sampleMeanX += m_samplesX.get(i);
@@ -170,7 +171,7 @@
if (z.length > 0) {
medianZ = new Median().evaluate(z);
waldWolfowitzZ = getWaldWolfowitzProbability(z);
- }
+ }
return results;
}
Modified: trunk/etc/performancetest/src/main/resources/report_template.html
==============================================================================
--- trunk/etc/performancetest/src/main/resources/report_template.html
(original)
+++ trunk/etc/performancetest/src/main/resources/report_template.html Wed Apr
6 09:22:57 2011
@@ -74,6 +74,183 @@
</style>
</head>
<body>
+
+ <IMG align="right"
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+
<h1>Performance test results</h1>
<h2>${x_versus_y}</h2>
<hr/>
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