public void EDR_SpotLift()
{
var reservoir = new ExponentiallyDecayingReservoir(Constants.ReservoirSampling.DefaultSampleSize,
Constants.ReservoirSampling.DefaultExponentialDecayFactor,
_clock, _scheduler);
var valuesRatePerMinute = 10;
var valuesIntervalMillis = (int)(TimeUnit.Minutes.ToMilliseconds(1) / valuesRatePerMinute);
// mode 1: steady regime for 120 minutes
for (var i = 0; i < 120 * valuesRatePerMinute; i++)
{
reservoir.Update(177);
_clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// switching to mode 2: 10 minutes more with the same rate, but larger value
for (var i = 0; i < 10 * valuesRatePerMinute; i++)
{
reservoir.Update(9999);
_clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// expect that quantiles should be more about mode 2 after 10 minutes
reservoir.GetSnapshot().Median.Should().Be(9999);
}
public void EDR_SpotFall()
{
TestClock clock = new TestClock();
TestScheduler scheduler = new TestScheduler(clock);
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(1000, 0.015, clock, scheduler);
int valuesRatePerMinute = 10;
int valuesIntervalMillis = (int)(TimeUnit.Minutes.ToMilliseconds(1) / valuesRatePerMinute);
// mode 1: steady regime for 120 minutes
for (int i = 0; i < 120 * valuesRatePerMinute; i++)
{
reservoir.Update(9998);
clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// switching to mode 2: 10 minutes more with the same rate, but smaller value
for (int i = 0; i < 10 * valuesRatePerMinute; i++)
{
reservoir.Update(178);
clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// expect that quantiles should be more about mode 2 after 10 minutes
reservoir.Snapshot.Percentile95.Should().Be(178);
}
public void EDR_QuantiliesShouldBeBasedOnWeights()
{
TestClock clock = new TestClock();
TestScheduler scheduler = new TestScheduler(clock);
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(1000, 0.015, clock, scheduler);
for (int i = 0; i < 40; i++)
{
reservoir.Update(177);
}
clock.Advance(TimeUnit.Seconds, 120);
for (int i = 0; i < 10; i++)
{
reservoir.Update(9999);
}
reservoir.Snapshot.Size.Should().Be(50);
// the first added 40 items (177) have weights 1
// the next added 10 items (9999) have weights ~6
// so, it's 40 vs 60 distribution, not 40 vs 10
reservoir.Snapshot.Median.Should().Be(9999);
reservoir.Snapshot.Percentile75.Should().Be(9999);
}
public void EDR_QuantiliesShouldBeBasedOnWeights()
{
var reservoir = new ExponentiallyDecayingReservoir(Constants.ReservoirSampling.DefaultSampleSize,
Constants.ReservoirSampling.DefaultExponentialDecayFactor,
_clock, _scheduler);
for (var i = 0; i < 40; i++)
{
reservoir.Update(177);
}
_clock.Advance(TimeUnit.Seconds, 120);
for (var i = 0; i < 10; i++)
{
reservoir.Update(9999);
}
reservoir.GetSnapshot().Size.Should().Be(50);
// the first added 40 items (177) have weights 1
// the next added 10 items (9999) have weights ~6
// so, it's 40 vs 60 distribution, not 40 vs 10
reservoir.GetSnapshot().Median.Should().Be(9999);
reservoir.GetSnapshot().Percentile75.Should().Be(9999);
}
public void EDR_RecordsUserValue()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(clock, scheduler);
reservoir.Update(2L, "B");
reservoir.Update(1L, "A");
reservoir.GetSnapshot().MinUserValue.Should().Be("A");
reservoir.GetSnapshot().MaxUserValue.Should().Be("B");
}
public void EDR_RecordsUserValue()
{
TestClock clock = new TestClock();
TestScheduler scheduler = new TestScheduler(clock);
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(1000, 0.015, clock, scheduler);
reservoir.Update(2L, "B");
reservoir.Update(1L, "A");
reservoir.Snapshot.MinUserValue.Should().Be("A");
reservoir.Snapshot.MaxUserValue.Should().Be("B");
}
public void EDR_RecordsUserValue()
{
var reservoir = new ExponentiallyDecayingReservoir(Constants.ReservoirSampling.DefaultSampleSize,
Constants.ReservoirSampling.DefaultExponentialDecayFactor,
_clock, _scheduler);
reservoir.Update(2L, "B");
reservoir.Update(1L, "A");
reservoir.GetSnapshot().MinUserValue.Should().Be("A");
reservoir.GetSnapshot().MaxUserValue.Should().Be("B");
}
public void EDR_HeavilyBiasedReservoirOf100OutOf1000Elements()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(1000, 0.01);
for (int i = 0; i < 100; i++)
{
reservoir.Update(i);
}
reservoir.Size.Should().Be(100);
var snapshot = reservoir.GetSnapshot();
snapshot.Size.Should().Be(100);
snapshot.Values.Should().OnlyContain(v => 0 <= v && v < 100);
}
public void ExponentialDecayingResevoir()
{
var reservoir = new ExponentiallyDecayingReservoir(Constants.ReservoirSampling.DefaultSampleSize, Constants.ReservoirSampling.DefaultExponentialDecayFactor);
foreach (var sample in _samples)
{
reservoir.Update(sample);
}
var snapshot = reservoir.GetSnapshot();
//TODO: Assert snapshot
//snapshot.AssertValues(_samples);
}
public void EDR_HeavilyBiasedReservoirOf100OutOf1000Elements()
{
var reservoir = new ExponentiallyDecayingReservoir(1000, 0.01);
for (var i = 0; i < 100; i++)
{
reservoir.Update(i);
}
reservoir.Size.Should().Be(100);
var snapshot = reservoir.GetSnapshot();
snapshot.Size.Should().Be(100);
snapshot.Values.Should().OnlyContain(v => 0 <= v && v < 100);
}
public void can_report_apdex()
{
var expected = StringReporterSamples.Apdex.ExtractStringReporterSampleFromResourceFile();
var clock = new TestClock();
var sr = new StringReporter();
var reservoir = new ExponentiallyDecayingReservoir(Constants.ReservoirSampling.DefaultSampleSize,
Constants.ReservoirSampling.DefaultExponentialDecayFactor, clock, new TestTaskScheduler(clock));
var metric = new ApdexMetric(new ApdexProvider(reservoir, Constants.ReservoirSampling.DefaultApdexTSeconds), clock, true);
metric.Track(1000);
sr.ReportMetric("test", new ApdexValueSource("apdex_name", metric, MetricTags.None));
AssertReportResult(sr.Result, expected);
}
public void EDR_ReservoirOf100OutOf10Elements()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(100, 0.99);
for (int i = 0; i < 10; i++)
{
reservoir.Update(i);
}
reservoir.Size.Should().Be(10);
var snapshot = reservoir.Snapshot;
snapshot.Size.Should().Be(10);
snapshot.Values.Should().OnlyContain(v => 0 <= v && v < 10);
}
public void EDR_longPeriodsOfInactivityShouldNotCorruptSamplingState()
{
TestClock clock = new TestClock();
TestScheduler scheduler = new TestScheduler(clock);
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(10, 0.015, clock, scheduler);
// add 1000 values at a rate of 10 values/second
for (int i = 0; i < 1000; i++)
{
reservoir.Update(1000 + i);
clock.Advance(TimeUnit.Milliseconds, 100);
}
reservoir.Snapshot.Size.Should().Be(10);
reservoir.Snapshot.Values.Should().OnlyContain(v => 1000 <= v && v < 2000);
// wait for 15 hours and add another value.
// this should trigger a rescale. Note that the number of samples will be reduced to 2
// because of the very small scaling factor that will make all existing priorities equal to
// zero after rescale.
clock.Advance(TimeUnit.Hours, 15);
reservoir.Update(2000);
var snapshot = reservoir.Snapshot;
snapshot.Size.Should().Be(2);
snapshot.Values.Should().OnlyContain(v => 1000 <= v && v < 3000);
// add 1000 values at a rate of 10 values/second
for (int i = 0; i < 1000; i++)
{
reservoir.Update(3000 + i);
clock.Advance(TimeUnit.Milliseconds, 100);
}
var finalSnapshot = reservoir.Snapshot;
finalSnapshot.Size.Should().Be(10);
// TODO: double check the Skip first value - sometimes first value is 2000 - which might or not be correct
finalSnapshot.Values.Skip(1).Should().OnlyContain(v => 3000 <= v && v < 4000);
}
public void EDR_longPeriodsOfInactivityShouldNotCorruptSamplingState()
{
var reservoir = new ExponentiallyDecayingReservoir(10, 0.015, _clock, _scheduler);
// add 1000 values at a rate of 10 values/second
for (var i = 0; i < 1000; i++)
{
reservoir.Update(1000 + i);
_clock.Advance(TimeUnit.Milliseconds, 100);
}
reservoir.GetSnapshot().Size.Should().Be(10);
reservoir.GetSnapshot().Values.Should().OnlyContain(v => 1000 <= v && v < 2000);
// wait for 15 hours and add another value.
// this should trigger a rescale. Note that the number of samples will be reduced to 2
// because of the very small scaling factor that will make all existing priorities equal to
// zero after rescale.
_clock.Advance(TimeUnit.Hours, 15);
reservoir.Update(2000);
var snapshot = reservoir.GetSnapshot();
snapshot.Size.Should().Be(2);
snapshot.Values.Should().OnlyContain(v => 1000 <= v && v < 3000);
// add 1000 values at a rate of 10 values/second
for (var i = 0; i < 1000; i++)
{
reservoir.Update(3000 + i);
_clock.Advance(TimeUnit.Milliseconds, 100);
}
var finalSnapshot = reservoir.GetSnapshot();
finalSnapshot.Size.Should().Be(10);
finalSnapshot.Values.Skip(1).Should().OnlyContain(v => 3000 <= v && v < 4000);
}
public void EDR_longPeriodsOfInactivityShouldNotCorruptSamplingState()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(10, 0.015, clock, scheduler);
// add 1000 values at a rate of 10 values/second
for (int i = 0; i < 1000; i++)
{
reservoir.Update(1000 + i);
clock.Advance(TimeUnit.Milliseconds, 100);
}
reservoir.GetSnapshot().Size.Should().Be(10);
reservoir.GetSnapshot().Values.Should().OnlyContain(v => 1000 <= v && v < 2000);
// wait for 15 hours and add another value.
// this should trigger a rescale. Note that the number of samples will be reduced to 2
// because of the very small scaling factor that will make all existing priorities equal to
// zero after rescale.
clock.Advance(TimeUnit.Hours, 15);
reservoir.Update(2000);
var snapshot = reservoir.GetSnapshot();
snapshot.Size.Should().Be(2);
snapshot.Values.Should().OnlyContain(v => 1000 <= v && v < 3000);
// add 1000 values at a rate of 10 values/second
for (int i = 0; i < 1000; i++)
{
reservoir.Update(3000 + i);
clock.Advance(TimeUnit.Milliseconds, 100);
}
var finalSnapshot = reservoir.GetSnapshot();
finalSnapshot.Size.Should().Be(10);
// TODO: double check the Skip first value - sometimes first value is 2000 - which might or not be correct
finalSnapshot.Values.Skip(1).Should().OnlyContain(v => 3000 <= v && v < 4000);
}
public void EDR_QuantiliesShouldBeBasedOnWeights()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(clock, scheduler);
for (int i = 0; i < 40; i++)
{
reservoir.Update(177);
}
clock.Advance(TimeUnit.Seconds, 120);
for (int i = 0; i < 10; i++)
{
reservoir.Update(9999);
}
reservoir.GetSnapshot().Size.Should().Be(50);
// the first added 40 items (177) have weights 1
// the next added 10 items (9999) have weights ~6
// so, it's 40 vs 60 distribution, not 40 vs 10
reservoir.GetSnapshot().Median.Should().Be(9999);
reservoir.GetSnapshot().Percentile75.Should().Be(9999);
}
public void EDR_RecordsUserValue()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(clock, scheduler);
reservoir.Update(2L, "B");
reservoir.Update(1L, "A");
reservoir.GetSnapshot().MinUserValue.Should().Be("A");
reservoir.GetSnapshot().MaxUserValue.Should().Be("B");
}
public void EDR_SpotFall()
{
ExponentiallyDecayingReservoir reservoir = new ExponentiallyDecayingReservoir(clock, scheduler);
int valuesRatePerMinute = 10;
int valuesIntervalMillis = (int)(TimeUnit.Minutes.ToMilliseconds(1) / valuesRatePerMinute);
// mode 1: steady regime for 120 minutes
for (int i = 0; i < 120 * valuesRatePerMinute; i++)
{
reservoir.Update(9998);
clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// switching to mode 2: 10 minutes more with the same rate, but smaller value
for (int i = 0; i < 10 * valuesRatePerMinute; i++)
{
reservoir.Update(178);
clock.Advance(TimeUnit.Milliseconds, valuesIntervalMillis);
}
// expect that quantiles should be more about mode 2 after 10 minutes
reservoir.GetSnapshot().Percentile95.Should().Be(178);
}
static void Main(string[] args)
{
var options = new Options();
if (!Parser.Default.ParseArguments(args, options, (t, o) => { target = t; targetOptions = o as CommonOptions; }))
{
Console.WriteLine(new CommonOptions().GetUsage());
Environment.Exit(CommandLine.Parser.DefaultExitCodeFail);
}
BenchmarkRunner.DefaultTotalSeconds = targetOptions.Seconds;
BenchmarkRunner.DefaultMaxThreads = targetOptions.MaxThreads;
//Metric.Config.WithHttpEndpoint("http://localhost:1234/");
switch (target)
{
case "noop":
BenchmarkRunner.Run("Noop", () => { });
break;
case "counter":
var counter = new CounterMetric();
BenchmarkRunner.Run("Counter", () => counter.Increment());
break;
case "meter":
var meter = new MeterMetric();
BenchmarkRunner.Run("Meter", () => meter.Mark());
break;
case "histogram":
var histogram = new HistogramMetric();
BenchmarkRunner.Run("Histogram", () => histogram.Update(137));
break;
case "timer":
var timer = new TimerMetric();
BenchmarkRunner.Run("Timer", () => timer.Record(1, TimeUnit.Milliseconds));
break;
case "hdrtimer":
var hdrTimer = new TimerMetric(new HdrHistogramReservoir());
BenchmarkRunner.Run("HDR Timer", () => hdrTimer.Record(1, TimeUnit.Milliseconds));
break;
case "ewma":
var ewma = EWMA.OneMinuteEWMA();
BenchmarkRunner.Run("EWMA", () => ewma.Update(1));
break;
case "edr":
var edr = new ExponentiallyDecayingReservoir();
BenchmarkRunner.Run("EDR", () => edr.Update(1));
break;
case "hdr":
var hdrReservoir = new HdrHistogramReservoir();
BenchmarkRunner.Run("HDR Recorder", () => hdrReservoir.Update(1));
break;
case "uniform":
var uniform = new UniformReservoir();
BenchmarkRunner.Run("Uniform", () => uniform.Update(1));
break;
case "sliding":
var sliding = new SlidingWindowReservoir();
BenchmarkRunner.Run("Sliding", () => sliding.Update(1));
break;
case "timerimpact":
var load = new WorkLoad();
BenchmarkRunner.Run("WorkWithoutTimer", () => load.DoSomeWork(), iterationsChunk: 10);
BenchmarkRunner.Run("WorkWithTimer", () => load.DoSomeWorkWithATimer(), iterationsChunk: 10);
break;
}
}
public void ExponentiallyDecayingReservoir()
{
var reservoir = new ExponentiallyDecayingReservoir(SampleSize, ExponentialDecayFactor);
Run(reservoir);
}
