public void SampleCount_UsesSample()
{
var underTest = new HistogramMetric(new RejectEverythingAboveTenSample());
underTest.Update(11);
underTest.Update(2);
Assert.AreEqual(2, underTest.SampleMin);
}
public void SampleCount_WhenPassed8And9_Returns2()
{
var underTest = new HistogramMetric(HistogramMetric.SampleType.Uniform);
underTest.Update(9);
underTest.Update(8);
Assert.AreEqual(2, underTest.SampleCount);
}
public void Min_WhenPassed8And9_Returns9()
{
var underTest = new HistogramMetric(HistogramMetric.SampleType.Uniform);
underTest.Update(9);
underTest.Update(8);
Assert.AreEqual(8, underTest.Min);
}
public ManualTimerMetric(
TimeUnit durationUnit,
TimeUnit rateUnit,
MeterMetric meter,
HistogramMetric histogram,
bool clear)
: base(durationUnit, rateUnit, meter, histogram, clear)
{
}
public ManualTimerMetric(
TimeUnit durationUnit,
TimeUnit rateUnit,
MeterMetric meter,
HistogramMetric histogram,
bool clear)
: base(durationUnit, rateUnit, meter, histogram, clear)
{
}
protected TimerMetricBase(TimeUnit durationUnit, TimeUnit rateUnit, MeterMetric meter, HistogramMetric histogram, bool clear)
{
DurationUnit = durationUnit;
RateUnit = rateUnit;
_meter = meter;
_histogram = histogram;
if(clear)
{
Clear();
}
}
protected TimerMetricBase(TimeUnit durationUnit, TimeUnit rateUnit, MeterMetric meter, HistogramMetric histogram, bool clear)
{
DurationUnit = durationUnit;
RateUnit = rateUnit;
_meter = meter;
_histogram = histogram;
if (clear)
{
Clear();
}
}
public void BiasedHistogram_UsesSample()
{
var underTest = new HistogramMetric(HistogramMetric.SampleType.Biased);
var sampleSize = 1028;
var sample = Enumerable.Range(1, sampleSize).ToList();
foreach (var s in sample)
{
underTest.Update(s);
}
Assert.AreEqual(sampleSize, underTest.SampleCount);
CollectionAssert.AreEquivalent(sample, underTest.Values);
}
protected void WriteHistogram(StringBuilder sb, HistogramMetric histogram)
{
var percentiles = histogram.Percentiles(0.5, 0.75, 0.95, 0.98, 0.99, 0.999);
sb.AppendFormat(" min = %{0:F2}\n", histogram.Min);
sb.AppendFormat(" max = %{0:F2}\n", histogram.Max);
sb.AppendFormat(" mean = %{0:F2}\n", histogram.Mean);
sb.AppendFormat(" stddev = %{0:F2}\n", histogram.StdDev);
sb.AppendFormat(" median = %{0:F2}\n", percentiles[0]);
sb.AppendFormat(" 75%% <= %{0:F2}\n", percentiles[1]);
sb.AppendFormat(" 95%% <= %{0:F2}\n", percentiles[2]);
sb.AppendFormat(" 98%% <= %{0:F2}\n", percentiles[3]);
sb.AppendFormat(" 99%% <= %{0:F2}\n", percentiles[4]);
sb.AppendFormat(" 99.9%% <= %{0:F2}\n", percentiles[5]);
}
public void SampleCount_WhenThereAreNoValues_Returns0()
{
var underTest = new HistogramMetric(HistogramMetric.SampleType.Uniform);
Assert.AreEqual(0, underTest.SampleCount);
}
public void SampleMean_WhenPassed8And9_Returns8Point5()
{
var underTest = new HistogramMetric(HistogramMetric.SampleType.Uniform);
underTest.Update(9);
underTest.Update(8);
Assert.AreEqual(8.5, underTest.SampleMean);
}
private static HistogramData CreateHistogramData(HistogramMetric histogram)
{
double[] percentiles = histogram.Percentiles(0.5, 0.75, 0.95, 0.99, 0.999, 0.9999);
return new HistogramData
{
Counter = histogram.Count,
Max = histogram.Max,
Mean = histogram.Mean,
Min = histogram.Min,
Stdev = histogram.StdDev,
Percentiles = new Dictionary<string, double>
{
{"50%", percentiles[0]},
{"75%", percentiles[1]},
{"95%", percentiles[2]},
{"99%", percentiles[3]},
{"99.9%", percentiles[4]},
{"99.99%", percentiles[5]},
}
};
}
private void WriteHistogram(HistogramMetric histogram)
{
var percentiles = histogram.Percentiles(0.5, 0.75, 0.95, 0.98, 0.99, 0.999);
_out.Write(" min = %{0:2}\n", histogram.Min);
_out.Write(" max = %{0:2}\n", histogram.Max);
_out.Write(" mean = %{0:2}\n", histogram.Mean);
_out.Write(" stddev = %{0:2}\n", histogram.StdDev);
_out.Write(" median = %{0:2}\n", percentiles[0]);
_out.Write(" 75%% <= %{0:2}\n", percentiles[1]);
_out.Write(" 95%% <= %{0:2}\n", percentiles[2]);
_out.Write(" 98%% <= %{0:2}\n", percentiles[3]);
_out.Write(" 99%% <= %{0:2}\n", percentiles[4]);
_out.Write(" 99.9%% <= %{0:2}\n", percentiles[5]);
}
public DiskPerformanceStorage()
{
WriteLatencyHistogram = new HistogramMetric(HistogramMetric.SampleType.Uniform);
ReadLatencyHistogram = new HistogramMetric(HistogramMetric.SampleType.Uniform);
ReadPerSecondHistory = new List<long>();
WritePerSecondHistory = new List<long>();
AverageReadLatencyPerSecondHistory = new List<double>();
AverageWriteLatencyPerSecondHistory = new List<double>();
}
private void LogHistogram(IRequest request, MetricName metricName, HistogramMetric metric, long timestamp)
{
LogGauge(request, metricName.Name + "." + HistogramMetrics.Max.GetDatadogName(), metric.SampleMax, timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.Min.GetDatadogName(), metric.SampleMin, timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.Mean.GetDatadogName(), metric.SampleMean, timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.StdDev.GetDatadogName(), metric.StdDev, timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.Count.GetDatadogName(), metric.SampleCount, timestamp);
double[] percentResults = metric.Percentiles(_histogramPercentages);
LogGauge(request, metricName.Name + "." + HistogramMetrics.At75thPercentile.GetDatadogName(), percentResults[0], timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.At95thPercentile.GetDatadogName(), percentResults[1], timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.At98thPercentile.GetDatadogName(), percentResults[2], timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.At99thPercentile.GetDatadogName(), percentResults[3], timestamp);
LogGauge(request, metricName.Name + "." + HistogramMetrics.At999thPercentile.GetDatadogName(), percentResults[4], timestamp);
metric.Clear();
}
