org.openjdk.jmh.results.SampleTimeResult Maven / Gradle / Ivy
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* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
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package org.openjdk.jmh.results;
import org.openjdk.jmh.runner.options.TimeValue;
import org.openjdk.jmh.util.SampleBuffer;
import org.openjdk.jmh.util.Statistics;
import java.util.Arrays;
import java.util.Collection;
import java.util.concurrent.TimeUnit;
/**
* Result class that samples operation time.
*/
public class SampleTimeResult extends Result {
private static final long serialVersionUID = -295298353763294757L;
private final SampleBuffer buffer;
private final TimeUnit outputTimeUnit;
public SampleTimeResult(ResultRole role, String label, SampleBuffer buffer, TimeUnit outputTimeUnit) {
this(role, label,
buffer,
TimeValue.tuToString(outputTimeUnit) + "/op",
outputTimeUnit);
}
SampleTimeResult(ResultRole role, String label, SampleBuffer buffer, String unit, TimeUnit outputTimeUnit) {
super(role, label,
of(buffer, outputTimeUnit),
unit,
AggregationPolicy.AVG);
this.buffer = buffer;
this.outputTimeUnit = outputTimeUnit;
}
private static Statistics of(SampleBuffer buffer, TimeUnit outputTimeUnit) {
double tuMultiplier = 1.0D * outputTimeUnit.convert(1, TimeUnit.DAYS) / TimeUnit.NANOSECONDS.convert(1, TimeUnit.DAYS);
return buffer.getStatistics(tuMultiplier);
}
@Override
protected Collection extends Result> getDerivativeResults() {
return Arrays.asList(
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.00", statistics.getPercentile(0), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.50", statistics.getPercentile(50), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.90", statistics.getPercentile(90), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.95", statistics.getPercentile(95), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.99", statistics.getPercentile(99), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.999", statistics.getPercentile(99.9), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p0.9999", statistics.getPercentile(99.99), getScoreUnit(), AggregationPolicy.AVG),
new ScalarDerivativeResult(label + Defaults.PREFIX + "p1.00", statistics.getPercentile(100), getScoreUnit(), AggregationPolicy.AVG)
);
}
@Override
public String extendedInfo() {
return distributionExtendedInfo();
}
@Override
protected Aggregator getThreadAggregator() {
return new JoiningAggregator();
}
@Override
protected Aggregator getIterationAggregator() {
return new JoiningAggregator();
}
/**
* Always add up all the samples into final result.
* This will allow aggregate result to achieve better accuracy.
*/
static class JoiningAggregator implements Aggregator {
@Override
public SampleTimeResult aggregate(Collection results) {
SampleBuffer buffer = new SampleBuffer();
TimeUnit tu = null;
for (SampleTimeResult r : results) {
buffer.addAll(r.buffer);
if (tu == null) {
tu = r.outputTimeUnit;
} else if (!tu.equals(r.outputTimeUnit)){
throw new IllegalStateException("Combining the results with different timeunits");
}
}
return new SampleTimeResult(
AggregatorUtils.aggregateRoles(results),
AggregatorUtils.aggregateLabels(results),
buffer,
AggregatorUtils.aggregateUnits(results),
tu
);
}
}
}
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