public void CanReadv1Logs_Skip_PreStart(string logPath, int skip, int take,
int expectedHistogramCount, int expectedCombinedValueCount,
int expectedCombined999, long expectedCombinedMaxLength,
double expectedStartTime)
{
var readerStream = GetEmbeddedFileStream(logPath);
var reader = new HistogramLogReader(readerStream);
int histogramCount = 0;
long totalCount = 0;
HistogramBase accumulatedHistogram = new LongHistogram(3600L * 1000 * 1000 * 1000, 3);
var histograms = reader.ReadHistograms()
.Where(h => h.StartTimeStamp >= reader.GetStartTime().MillisecondsSinceUnixEpoch())
.Skip(skip)
.Take(take);
foreach (var histogram in histograms)
{
histogramCount++;
totalCount += histogram.TotalCount;
accumulatedHistogram.Add(histogram);
}
Assert.AreEqual(expectedHistogramCount, histogramCount);
Assert.AreEqual(expectedCombinedValueCount, totalCount);
Assert.AreEqual(expectedCombined999, accumulatedHistogram.GetValueAtPercentile(99.9));
Assert.AreEqual(expectedCombinedMaxLength, accumulatedHistogram.GetMaxValue());
Assert.AreEqual(expectedStartTime, reader.GetStartTime().SecondsSinceUnixEpoch());
}
[Fact] //BUG https://github.com/HdrHistogram/HdrHistogram.NET/issues/39
public void OnlySingleValueFlaggedAsLastValue()
{
var expected = GetEmbeddedFileText("IsLastValueBug.hgrm");
var histogram = new LongHistogram(highestTrackableValue: 36000000000, numberOfSignificantValueDigits: 3);
histogram.RecordValueWithCount(1L, 7604459);
histogram.RecordValueWithCount(383, 2395524);
histogram.RecordValueWithCount(453, 2);
histogram.RecordValueWithCount(511, 2);
histogram.RecordValueWithCount(537, 3);
histogram.RecordValueWithCount(672, 1);
histogram.RecordValueWithCount(777, 1);
histogram.RecordValueWithCount(18143, 1);
histogram.RecordValueWithCount(208127, 1);
histogram.RecordValueWithCount(224639, 1);
histogram.RecordValueWithCount(229759, 1);
histogram.RecordValueWithCount(230271, 1);
histogram.RecordValueWithCount(258943, 1);
histogram.RecordValueWithCount(275711, 1);
histogram.RecordValueWithCount(282111, 1);
var writer = new StringWriter();
histogram.OutputPercentileDistribution(writer);
var actual = writer.ToString();
Assert.Equal(expected, actual);
}
private static LongHistogram CompressedEncodeDecode(LongHistogram source)
{
var targetBuffer = ByteBuffer.Allocate(source.GetNeededByteBufferCapacity());
source.EncodeIntoCompressedByteBuffer(targetBuffer);
targetBuffer.Position = 0;
return (LongHistogram)HistogramEncoding.DecodeFromCompressedByteBuffer(targetBuffer, 0);
}
static HistogramDataAccessTest()
{
LongHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
ScaledHistogram = new LongHistogram(1000, HighestTrackableValue * 512, NumberOfSignificantValueDigits);
RawHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var scaledRawHistogram = new LongHistogram(1000, HighestTrackableValue * 512, NumberOfSignificantValueDigits);
// Log hypothetical scenario: 100 seconds of "perfect" 1msec results, sampled
// 100 times per second (10,000 results), followed by a 100 second pause with
// a single (100 second) recorded result. Recording is done indicating an expected
// interval between samples of 10 msec:
for (var i = 0; i < 10000; i++)
{
LongHistogram.RecordValueWithExpectedInterval(1000 /* 1 msec */, 10000 /* 10 msec expected interval */);
ScaledHistogram.RecordValueWithExpectedInterval(1000 * 512 /* 1 msec */, 10000 * 512 /* 10 msec expected interval */);
RawHistogram.RecordValue(1000 /* 1 msec */);
scaledRawHistogram.RecordValue(1000 * 512 /* 1 msec */);
}
LongHistogram.RecordValueWithExpectedInterval(100000000L /* 100 sec */, 10000 /* 10 msec expected interval */);
ScaledHistogram.RecordValueWithExpectedInterval(100000000L * 512 /* 100 sec */, 10000 * 512 /* 10 msec expected interval */);
RawHistogram.RecordValue(100000000L /* 100 sec */);
scaledRawHistogram.RecordValue(100000000L * 512 /* 100 sec */);
PostCorrectedHistogram = RawHistogram.CopyCorrectedForCoordinatedOmission(10000 /* 10 msec expected interval */);
PostCorrectedScaledHistogram = scaledRawHistogram.CopyCorrectedForCoordinatedOmission(10000 * 512 /* 10 msec expected interval */);
}
public static LongHistogram GetNewHistogram()
{
LongHistogram histo = new LongHistogram(1, 2, NUMBER_SIGNIFICANT_DIGITS);
histo.Reset();
return(histo);
}
public void TestAdd()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var other = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
longHistogram.RecordValue(TestValueLevel * 1000);
other.RecordValue(TestValueLevel);
other.RecordValue(TestValueLevel * 1000);
longHistogram.Add(other);
Assert.AreEqual(2L, longHistogram.GetCountAtValue(TestValueLevel));
Assert.AreEqual(2L, longHistogram.GetCountAtValue(TestValueLevel * 1000));
Assert.AreEqual(4L, longHistogram.TotalCount);
var biggerOther = new LongHistogram(HighestTrackableValue * 2, NumberOfSignificantValueDigits);
biggerOther.RecordValue(TestValueLevel);
biggerOther.RecordValue(TestValueLevel * 1000);
// Adding the smaller histogram to the bigger one should work:
biggerOther.Add(longHistogram);
Assert.AreEqual(3L, biggerOther.GetCountAtValue(TestValueLevel));
Assert.AreEqual(3L, biggerOther.GetCountAtValue(TestValueLevel * 1000));
Assert.AreEqual(6L, biggerOther.TotalCount);
// But trying to add a larger histogram into a smaller one should throw an AIOOB:
Assert.Throws <ArgumentOutOfRangeException>(() => { longHistogram.Add(biggerOther); });
}
private static void ProcessHistogrmaResults(LongHistogram histogram)
{
Console.WriteLine();
var percentiles = new[] { 50.0, 90.0, 95.0, 99.9, 99.99, 99.999, 99.9999, 99.99999, 99.999999, 100.0 };
foreach (var percentile in percentiles)
{
var value = histogram.GetValueAtPercentile(percentile) / OutputScalingFactor.TimeStampToMilliseconds;
Console.WriteLine($"{percentile,10:##.######}th Percentile : {value,9:N4} ms");
}
Console.WriteLine(
$" Max : {histogram.GetMaxValue() / OutputScalingFactor.TimeStampToMilliseconds,9:N4} ms");
var fileName = "HistogramResults.hgrm";
if (File.Exists(fileName))
{
File.Delete(fileName);
}
using (var writer = new StreamWriter(fileName))
{
histogram.OutputPercentileDistribution(writer, outputValueUnitScalingRatio: OutputScalingFactor.TimeStampToMilliseconds);
}
}
public void TestScaledLowestEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(10000 * 1024, longHistogram.LowestEquivalentValue(10007 * 1024), "The lowest equivalent value to 10007 * 1024 is 10000 * 1024");
Assert.AreEqual(10008 * 1024, longHistogram.LowestEquivalentValue(10009 * 1024), "The lowest equivalent value to 10009 * 1024 is 10008 * 1024");
}
private void WriteToDisk(Recorder recorder)
{
//Sample every second until flagged as completed.
var accumulatingHistogram = new LongHistogram(TimeStamp.Hours(1), 3);
while (_isCompleted == 0)
{
Thread.Sleep(1000);
var histogram = recorder.GetIntervalHistogram();
accumulatingHistogram.Add(histogram);
_logWriter.Append(histogram);
Console.WriteLine($"{DateTime.Now:o} Interval.TotalCount = {histogram.TotalCount,10:G}. Accumulated.TotalCount = {accumulatingHistogram.TotalCount,10:G}.");
}
_logWriter.Dispose();
_outputStream.Dispose();
Console.WriteLine("Log contents");
Console.WriteLine(File.ReadAllText(LogPath));
Console.WriteLine();
Console.WriteLine("Percentile distribution (values reported in milliseconds)");
accumulatingHistogram.OutputPercentileDistribution(Console.Out, outputValueUnitScalingRatio: OutputScalingFactor.TimeStampToMilliseconds);
Console.WriteLine("Output thread finishing.");
}
public void TestLowestEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(10000, longHistogram.LowestEquivalentValue(10007), "The lowest equivalent value to 10007 is 10000");
Assert.AreEqual(10008, longHistogram.LowestEquivalentValue(10009), "The lowest equivalent value to 10009 is 10008");
}
public void TestRecordValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
Assert.AreEqual(1L, longHistogram.GetCountAtValue(TestValueLevel));
Assert.AreEqual(1L, longHistogram.TotalCount);
}
public void TestNextNonEquivalentValue()
{
//HACK: WTF does this prove? -LC
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.IsNotNull(longHistogram);
}
static HistogramDataAccessTest()
{
LongHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
ScaledHistogram = new LongHistogram(1000, HighestTrackableValue * 512, NumberOfSignificantValueDigits);
RawHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var scaledRawHistogram = new LongHistogram(1000, HighestTrackableValue * 512, NumberOfSignificantValueDigits);
// Log hypothetical scenario: 100 seconds of "perfect" 1msec results, sampled
// 100 times per second (10,000 results), followed by a 100 second pause with
// a single (100 second) recorded result. Recording is done indicating an expected
// interval between samples of 10 msec:
for (var i = 0; i < 10000; i++)
{
LongHistogram.RecordValueWithExpectedInterval(1000 /* 1 msec */, 10000 /* 10 msec expected interval */);
ScaledHistogram.RecordValueWithExpectedInterval(1000 * 512 /* 1 msec */, 10000 * 512 /* 10 msec expected interval */);
RawHistogram.RecordValue(1000 /* 1 msec */);
scaledRawHistogram.RecordValue(1000 * 512/* 1 msec */);
}
LongHistogram.RecordValueWithExpectedInterval(100000000L /* 100 sec */, 10000 /* 10 msec expected interval */);
ScaledHistogram.RecordValueWithExpectedInterval(100000000L * 512 /* 100 sec */, 10000 * 512 /* 10 msec expected interval */);
RawHistogram.RecordValue(100000000L /* 100 sec */);
scaledRawHistogram.RecordValue(100000000L * 512 /* 100 sec */);
PostCorrectedHistogram = RawHistogram.CopyCorrectedForCoordinatedOmission(10000 /* 10 msec expected interval */);
PostCorrectedScaledHistogram = scaledRawHistogram.CopyCorrectedForCoordinatedOmission(10000 * 512 /* 10 msec expected interval */);
}
private void WriteToDisk(Recorder recorder)
{
//Sample every second until flagged as completed.
var accumulatingHistogram = new LongHistogram(TimeStamp.Hours(1), 3);
while (_isCompleted == 0)
{
Thread.Sleep(1000);
var histogram = recorder.GetIntervalHistogram();
accumulatingHistogram.Add(histogram);
_logWriter.Append(histogram);
Console.WriteLine($"{DateTime.Now:o} Interval.TotalCount = {histogram.TotalCount,10:G}. Accumulated.TotalCount = {accumulatingHistogram.TotalCount,10:G}.");
}
_logWriter.Dispose();
_outputStream.Dispose();
Console.WriteLine("Log contents");
Console.WriteLine(File.ReadAllText(LogPath));
Console.WriteLine();
Console.WriteLine("Percentile distribution (values reported in milliseconds)");
accumulatingHistogram.OutputPercentileDistribution(Console.Out, outputValueUnitScalingRatio: OutputScalingFactor.TimeStampToMilliseconds);
Console.WriteLine("Output thread finishing.");
}
private static void Load(LongHistogram source)
{
for (long i = 0L; i < 10000L; i++)
{
source.RecordValue(1000L * i);
}
}
public void TestRecordValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
Assert.AreEqual(1L, longHistogram.GetCountAtValue(TestValueLevel));
Assert.AreEqual(1L, longHistogram.TotalCount);
}
public LatencyTestSessionResult(LongHistogram histogram, TimeSpan duration, int gen0, int gen1, int gen2)
{
Histogram = histogram;
Duration = duration;
Gen0 = gen0;
Gen1 = gen1;
Gen2 = gen2;
}
private static LongHistogram CreatePopulatedHistogram(long multiplier)
{
var histogram = new LongHistogram(3600L * 1000 * 1000, 3);
for (int i = 0; i < 10000; i++)
{
histogram.RecordValue(i * multiplier);
}
return histogram;
}
private BenchmarkResult RunTest(int messageSize, int delayMicros, int burst, int tgtMsgCount, int warmUpMessageCount, int secondsPerTest)
{
var result = new BenchmarkResult(_feedClients.Count);
if (_hostCount == 1 && _serversPerHost == 1 && _clientsPerServer == 1)
{
result.Transport = _transportId;
}
else
{
result.Transport = $"{_transportId}_H{_hostCount}_S{_serversPerHost}_C{_clientsPerServer}";
}
result.MsgSize = messageSize;
result.Delay = delayMicros;
result.Burst = burst;
result.TgtMsgCount = tgtMsgCount * _feedClients.Count;
Thread.Sleep(1000);
GC.Collect(2, GCCollectionMode.Forced, true);
GC.WaitForPendingFinalizers();
GC.Collect(2, GCCollectionMode.Forced, true);
GC.WaitForPendingFinalizers();
LoopAll(warmUpMessageCount, true);
GC.Collect(2, GCCollectionMode.Forced, true);
Thread.Sleep(500);
result.Started = DateTime.UtcNow;
var(counter, histogramAll) = LoopAll(tgtMsgCount, false);
result.ActMsgCount = counter;
result.Ended = DateTime.UtcNow;
result.SetStats(histogramAll);
var name = $"Latency_{_transportId}_{messageSize}_{delayMicros}_{burst}";
histogramAll.OutputPercentileDistribution(Console.Out, 1);
using var writer = new StreamWriter(Path.Combine(_outFolder, $"Latency_{_transportId}_{messageSize}_{delayMicros}_{burst}.hgrm"));
histogramAll.OutputPercentileDistribution(writer);
Console.WriteLine(name);
Console.WriteLine($"TgtMsgSec: {result.TgtMsgSec:N0}, ActMsgSec: {result.ActMsgSec:N0}, TgtBw: {result.TgtBwMb:N0} Mb, ActBw: {result.ActBwMb:N0} Mb");
Console.WriteLine("------------------------------");
return(result);
(int, LongHistogram) LoopAll(int msgCount, bool warmup)
{
_isRunning = true;
var histogram = new LongHistogram(TimeSpan.FromSeconds(10).Ticks, 2);
Task[] threads = new Task[_feedClients.Count];
(MessageCounter, LongHistogram)[] results = new (MessageCounter, LongHistogram)[_feedClients.Count];
public void TestConstructionArgumentGets()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1, longHistogram.LowestTrackableValue);
Assert.AreEqual(HighestTrackableValue, longHistogram.HighestTrackableValue);
Assert.AreEqual(NumberOfSignificantValueDigits, longHistogram.NumberOfSignificantValueDigits);
var histogram2 = new LongHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1000, histogram2.LowestTrackableValue);
}
public void TestGetValueAtPercentileForLargeHistogram()
{
const long largestValue = 1000000000000L;
var h = new LongHistogram(largestValue, 5);
h.RecordValue(largestValue);
Assert.That(h.GetValueAtPercentile(100.0) > 0);
}
public void TestScaledSizeOfEquivalentValueRange()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1 * 1024, longHistogram.SizeOfEquivalentValueRange(1 * 1024), "Size of equivalent range for value 1 * 1024 is 1 * 1024");
Assert.AreEqual(2 * 1024, longHistogram.SizeOfEquivalentValueRange(2500 * 1024), "Size of equivalent range for value 2500 * 1024 is 2 * 1024");
Assert.AreEqual(4 * 1024, longHistogram.SizeOfEquivalentValueRange(8191 * 1024), "Size of equivalent range for value 8191 * 1024 is 4 * 1024");
Assert.AreEqual(8 * 1024, longHistogram.SizeOfEquivalentValueRange(8192 * 1024), "Size of equivalent range for value 8192 * 1024 is 8 * 1024");
Assert.AreEqual(8 * 1024, longHistogram.SizeOfEquivalentValueRange(10000 * 1024), "Size of equivalent range for value 10000 * 1024 is 8 * 1024");
}
public void TestScaledMedianEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(4 * 1024 + 512, longHistogram.MedianEquivalentValue(4 * 1024), "The median equivalent value to 4 * 1024 is 4 * 1024 + 512");
Assert.AreEqual(5 * 1024 + 512, longHistogram.MedianEquivalentValue(5 * 1024), "The median equivalent value to 5 * 1024 is 5 * 1024 + 512");
Assert.AreEqual(4001 * 1024, longHistogram.MedianEquivalentValue(4000 * 1024), "The median equivalent value to 4000 * 1024 is 4001 * 1024");
Assert.AreEqual(8002 * 1024, longHistogram.MedianEquivalentValue(8000 * 1024), "The median equivalent value to 8000 * 1024 is 8002 * 1024");
Assert.AreEqual(10004 * 1024, longHistogram.MedianEquivalentValue(10007 * 1024), "The median equivalent value to 10007 * 1024 is 10004 * 1024");
}
public void TestSizeOfEquivalentValueRange()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1, longHistogram.SizeOfEquivalentValueRange(1), "Size of equivalent range for value 1 is 1");
Assert.AreEqual(2, longHistogram.SizeOfEquivalentValueRange(2500), "Size of equivalent range for value 2500 is 2");
Assert.AreEqual(4, longHistogram.SizeOfEquivalentValueRange(8191), "Size of equivalent range for value 8191 is 4");
Assert.AreEqual(8, longHistogram.SizeOfEquivalentValueRange(8192), "Size of equivalent range for value 8192 is 8");
Assert.AreEqual(8, longHistogram.SizeOfEquivalentValueRange(10000), "Size of equivalent range for value 10000 is 8");
}
public void TestMedianEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(4, longHistogram.MedianEquivalentValue(4), "The median equivalent value to 4 is 4");
Assert.AreEqual(5, longHistogram.MedianEquivalentValue(5), "The median equivalent value to 5 is 5");
Assert.AreEqual(4001, longHistogram.MedianEquivalentValue(4000), "The median equivalent value to 4000 is 4001");
Assert.AreEqual(8002, longHistogram.MedianEquivalentValue(8000), "The median equivalent value to 8000 is 8002");
Assert.AreEqual(10004, longHistogram.MedianEquivalentValue(10007), "The median equivalent value to 10007 is 10004");
}
private static byte[] WriteLog(DateTime startTimeWritten, LongHistogram histogram)
{
byte[] data;
using (var writerStream = new MemoryStream())
{
Histogram.Write(writerStream, startTimeWritten, histogram);
data = writerStream.ToArray();
}
return(data);
}
private static LongHistogram CreatePopulatedHistogram(long multiplier)
{
var histogram = new LongHistogram(3600L * 1000 * 1000, 3);
for (int i = 0; i < 10000; i++)
{
histogram.RecordValue(i * multiplier);
}
return(histogram);
}
private static byte[] WriteLog(DateTime startTimeWritten, LongHistogram histogram)
{
byte[] data;
using (var writerStream = new MemoryStream())
{
Histogram.Write(writerStream, startTimeWritten, histogram);
data = writerStream.ToArray();
}
return data;
}
public static LongHistogram Bench(Action action, int count)
{
var histogram = new LongHistogram(TimeStamp.Minutes(1), 5);
for (var i = 0; i < count; i++)
{
histogram.Record(() => action());
}
return(histogram);
}
public async void AmazonIotStreamer([FromQuery] int messageToSend = 10, [FromQuery] int delayBtwMessageInMs = 50)
{
var rd = new Random(100);
var histogram = new LongHistogram(TimeStamp.Hours(1), 3);
var writer = new StringWriter();
var messages = messageToSend;
string[] currencyPairs = new string[] { "EUR/USD", "EUR/JPY", "EUR/GBP", "USD/JPY", "USD/GBP" };
for (int currIndex = 0; currIndex < currencyPairs.Length; currIndex++)
{
var pair = currencyPairs[currIndex];
Task.Run(async() =>
{
var publisher = new AmazonIotDataClient(IotEndpoint, new BasicAWSCredentials(IotAccessKey, IotSecret));
for (var i = 1; i <= messages; i++)
{
long startTimestamp = Stopwatch.GetTimestamp();
long timestamp = DateTimeOffset.Now.ToUnixTimeMilliseconds();
var currency = new Currency()
{
Id = i,
CurrencyType = pair,
Price = rd.NextDouble(),
Timestamp = DateTimeOffset.Now.ToUnixTimeMilliseconds().ToString(),
Ladders = new LadderFactory().Build(10)
};
var cur = JsonConvert.SerializeObject(currency);
publisher.PublishAsync(new Amazon.IotData.Model.PublishRequest()
{
Topic = pair,
Payload = new MemoryStream(System.Text.Encoding.UTF8.GetBytes(cur)),
Qos = 0
});
long elapsed = Stopwatch.GetTimestamp() - startTimestamp;
histogram.RecordValue(elapsed);
await Task.Delay(delayBtwMessageInMs).ConfigureAwait(false);
}
var scalingRatio = OutputScalingFactor.TimeStampToMilliseconds;
histogram.OutputPercentileDistribution(
writer,
outputValueUnitScalingRatio: scalingRatio);
System.IO.File.WriteAllText(@"d:\cloud\appsync.txt", writer.ToString());
});
}
}
public void Can_add_LongHistogram_with_values_in_range()
{
var longHistogram = new LongHistogram(short.MaxValue-1, 3);
longHistogram.RecordValueWithCount(1, 100);
longHistogram.RecordValueWithCount(short.MaxValue-1, 1000);
var shortHistogram = new ShortHistogram(short.MaxValue-1, 3);
shortHistogram.Add(longHistogram);
HistogramAssert.AreValueEqual(longHistogram, shortHistogram);
}
public void TestHighestEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(8183 * 1024 + 1023, longHistogram.HighestEquivalentValue(8180 * 1024), "The highest equivalent value to 8180 * 1024 is 8183 * 1024 + 1023");
Assert.AreEqual(8191 * 1024 + 1023, longHistogram.HighestEquivalentValue(8191 * 1024), "The highest equivalent value to 8187 * 1024 is 8191 * 1024 + 1023");
Assert.AreEqual(8199 * 1024 + 1023, longHistogram.HighestEquivalentValue(8193 * 1024), "The highest equivalent value to 8193 * 1024 is 8199 * 1024 + 1023");
Assert.AreEqual(9999 * 1024 + 1023, longHistogram.HighestEquivalentValue(9995 * 1024), "The highest equivalent value to 9995 * 1024 is 9999 * 1024 + 1023");
Assert.AreEqual(10007 * 1024 + 1023, longHistogram.HighestEquivalentValue(10007 * 1024), "The highest equivalent value to 10007 * 1024 is 10007 * 1024 + 1023");
Assert.AreEqual(10015 * 1024 + 1023, longHistogram.HighestEquivalentValue(10008 * 1024), "The highest equivalent value to 10008 * 1024 is 10015 * 1024 + 1023");
}
public void TestScaledHighestEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(8183, longHistogram.HighestEquivalentValue(8180), "The highest equivalent value to 8180 is 8183");
Assert.AreEqual(8191, longHistogram.HighestEquivalentValue(8191), "The highest equivalent value to 8187 is 8191");
Assert.AreEqual(8199, longHistogram.HighestEquivalentValue(8193), "The highest equivalent value to 8193 is 8199");
Assert.AreEqual(9999, longHistogram.HighestEquivalentValue(9995), "The highest equivalent value to 9995 is 9999");
Assert.AreEqual(10007, longHistogram.HighestEquivalentValue(10007), "The highest equivalent value to 10007 is 10007");
Assert.AreEqual(10015, longHistogram.HighestEquivalentValue(10008), "The highest equivalent value to 10008 is 10015");
}
static void DocumentResults(LongHistogram accumulatingHistogram, Recorder recorder)
{
recorder?.RecordValue(GC.GetTotalMemory(false));
var histogram = recorder?.GetIntervalHistogram();
accumulatingHistogram?.Add(histogram);
_logWriter?.Append(histogram);
RILogManager.Default?.SendDebug($"Accumulated.TotalCount = {accumulatingHistogram.TotalCount,10:G}.");
RILogManager.Default?.SendDebug("Mean: " + BytesToString(accumulatingHistogram.GetMean()) + ", StdDev: " +
BytesToString(accumulatingHistogram.GetStdDeviation()));
}
public void TestConstructionArgumentGets()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1, longHistogram.LowestTrackableValue);
Assert.AreEqual(HighestTrackableValue, longHistogram.HighestTrackableValue);
Assert.AreEqual(NumberOfSignificantValueDigits, longHistogram.NumberOfSignificantValueDigits);
var histogram2 = new LongHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1000, histogram2.LowestTrackableValue);
}
public void Run(Program.Options options)
{
_runCount = options.RunCount ?? 3;
Console.WriteLine($"Latency Test to run => {_perfTestType.FullName}, Runs => {_runCount}");
_test = (ILatencyTest)Activator.CreateInstance(_perfTestType);
CheckProcessorsRequirements(_test);
Console.WriteLine("Starting");
var stopwatch = new Stopwatch();
var histogram = new LongHistogram(10000000000L, 4);
for (var i = 0; i < _runCount; i++)
{
stopwatch.Reset();
histogram.Reset();
GC.Collect();
GC.WaitForPendingFinalizers();
var beforeGen0Count = GC.CollectionCount(0);
var beforeGen1Count = GC.CollectionCount(1);
var beforeGen2Count = GC.CollectionCount(2);
Exception exception = null;
LatencyTestSessionResult result = null;
try
{
_test.Run(stopwatch, histogram);
}
catch (Exception ex)
{
exception = ex;
}
if (exception != null)
{
result = new LatencyTestSessionResult(exception);
}
else
{
var gen0Count = GC.CollectionCount(0) - beforeGen0Count;
var gen1Count = GC.CollectionCount(1) - beforeGen1Count;
var gen2Count = GC.CollectionCount(2) - beforeGen2Count;
result = new LatencyTestSessionResult(histogram, stopwatch.Elapsed, gen0Count, gen1Count, gen2Count);
}
Console.WriteLine(result);
_results.Add(result);
}
}
private static void RunClient(IFeedClient client)
{
var histogram = new LongHistogram(TimeSpan.FromSeconds(10).Ticks, 2);
var receivedMessageCount = 0;
void OnMessageReceived(ReadOnlySpan <byte> message)
{
var now = Stopwatch.GetTimestamp();
var start = Unsafe.ReadUnaligned <long>(ref MemoryMarshal.GetReference(message));
var rrt = now - start;
var latencyInMicroseconds = unchecked (rrt * 1_000_000 / (double)Stopwatch.Frequency);
receivedMessageCount++;
histogram.RecordValue((long)latencyInMicroseconds);
}
using (client)
{
var connectedSignal = new AutoResetEvent(false);
client.Connected += () => Console.WriteLine($"Connected {connectedSignal.Set()}");
client.MessageReceived += OnMessageReceived;
client.Start("client " + Guid.NewGuid());
connectedSignal.WaitOne();
do
{
Console.WriteLine("Bench? (<message count> <message size> <delay in micro> <burst>, eg.: 100000 128 10 1)");
var benchArgs = Console.ReadLine();
if (!TryParseBenchArgs(benchArgs, out var args))
{
break;
}
histogram.Reset();
RunBench(client, args, ref receivedMessageCount);
histogram.OutputPercentileDistribution(Console.Out, 1);
Console.WriteLine("FailSends : " + Counters.FailedReceivingNextCount);
Console.WriteLine("FailReceives : " + Counters.FailedReceivingNextCount);
Counters.Reset();
} while (true);
client.Stop();
}
}
static void Report(string name, LongHistogram histogram, TimeSpan?maximumMean)
{
Console.Out.WriteLine($"Histogram for {name}:");
histogram.OutputPercentileDistribution(Console.Out, outputValueUnitScalingRatio: OutputScalingFactor.TimeStampToMilliseconds, percentileTicksPerHalfDistance: 1);
Console.Out.WriteLine();
if (maximumMean != null)
{
var max = maximumMean.Value;
var actualMean = TimeSpan.FromMilliseconds(histogram.GetValueAtPercentile(50) / OutputScalingFactor.TimeStampToMilliseconds);
Assert.LessOrEqual(actualMean, max, $"The actual mean for {name} was '{actualMean}' and was bigger than maximum allowed mean '{max}'.");
}
}
public void TestGetEstimatedFootprintInBytes2()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var largestValueWithSingleUnitResolution = 2 * (long)Math.Pow(10, NumberOfSignificantValueDigits);
var subBucketCountMagnitude = (int)Math.Ceiling(Math.Log(largestValueWithSingleUnitResolution) / Math.Log(2));
var subBucketSize = (int)Math.Pow(2, (subBucketCountMagnitude));
var bucketCount = GetBucketsNeededToCoverValue(subBucketSize, HighestTrackableValue);
var header = 512;
var width = sizeof (long);
var length = (bucketCount + 1) * (subBucketSize / 2);
var expectedSize = header + (width * length);
Assert.AreEqual(expectedSize, longHistogram.GetEstimatedFootprintInBytes());
}
public void TestGetEstimatedFootprintInBytes2()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var largestValueWithSingleUnitResolution = 2 * (long)Math.Pow(10, NumberOfSignificantValueDigits);
var subBucketCountMagnitude = (int)Math.Ceiling(Math.Log(largestValueWithSingleUnitResolution) / Math.Log(2));
var subBucketSize = (int)Math.Pow(2, (subBucketCountMagnitude));
var bucketCount = GetBucketsNeededToCoverValue(subBucketSize, HighestTrackableValue);
var header = 512;
var width = sizeof(long);
var length = (bucketCount + 1) * (subBucketSize / 2);
var expectedSize = header + (width * length);
Assert.AreEqual(expectedSize, longHistogram.GetEstimatedFootprintInBytes());
}
public void PercentileDistrubution_csv_output_is_in_correct_format(
[Values(36000000000)]long highestTrackableValue,
[Values(1, 2, 3, 4, 5)]int signigicantDigits,
[Values(10000.0)]double scaling,
[Values(5, 10, 20)]int percentileTicksPerHalfDistance)
{
var fileName = $"Sample_10kBy1k_{signigicantDigits}sf_TicksPerHour_asMs_{percentileTicksPerHalfDistance}percPerHalfDistance.csv";
var expected = GetEmbeddedFileText(fileName);
var histogram = new LongHistogram(highestTrackableValue, signigicantDigits);
LoadHistogram(histogram);
var writer = new StringWriter();
histogram.OutputPercentileDistribution(writer, percentileTicksPerHalfDistance, scaling, true);
var actual = writer.ToString();
Assert.AreEqual(expected, actual);
}
public void TestRecordValueWithExpectedInterval()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValueWithExpectedInterval(TestValueLevel, TestValueLevel / 4);
var rawHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
rawHistogram.RecordValue(TestValueLevel);
// The data will include corrected samples:
Assert.AreEqual(1L, longHistogram.GetCountAtValue((TestValueLevel * 1) / 4));
Assert.AreEqual(1L, longHistogram.GetCountAtValue((TestValueLevel * 2) / 4));
Assert.AreEqual(1L, longHistogram.GetCountAtValue((TestValueLevel * 3) / 4));
Assert.AreEqual(1L, longHistogram.GetCountAtValue((TestValueLevel * 4) / 4));
Assert.AreEqual(4L, longHistogram.TotalCount);
// But the raw data will not:
Assert.AreEqual(0L, rawHistogram.GetCountAtValue((TestValueLevel * 1) / 4));
Assert.AreEqual(0L, rawHistogram.GetCountAtValue((TestValueLevel * 2) / 4));
Assert.AreEqual(0L, rawHistogram.GetCountAtValue((TestValueLevel * 3) / 4));
Assert.AreEqual(1L, rawHistogram.GetCountAtValue((TestValueLevel * 4) / 4));
Assert.AreEqual(1L, rawHistogram.TotalCount);
}
public Recording32BitBenchmark()
{
const int lowestTrackableValue = 1;
var highestTrackableValue = TimeStamp.Minutes(10);
const int numberOfSignificantValueDigits = 3;
_testValues = TestValues(highestTrackableValue);
_longHistogram = new LongHistogram(highestTrackableValue, numberOfSignificantValueDigits);
_intHistogram = new IntHistogram(highestTrackableValue, numberOfSignificantValueDigits);
_shortHistogram = new ShortHistogram(highestTrackableValue, numberOfSignificantValueDigits);
_longConcurrentHistogram = new LongConcurrentHistogram(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits);
_intConcurrentHistogram = new IntConcurrentHistogram(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits);
_longRecorder = new Recorder(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits, (id, low, hi, sf) => new LongHistogram(id, low, hi, sf));
_longConcurrentRecorder = new Recorder(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits, (id, low, hi, sf) => new LongConcurrentHistogram(id, low, hi, sf));
_intRecorder = new Recorder(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits, (id, low, hi, sf) => new IntHistogram(id, low, hi, sf));
_intConcurrentRecorder = new Recorder(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits, (id, low, hi, sf) => new IntConcurrentHistogram(id, low, hi, sf));
_shortRecorder = new Recorder(lowestTrackableValue, highestTrackableValue, numberOfSignificantValueDigits, (id, low, hi, sf) => new ShortHistogram(id, low, hi, sf));
}
public void CanReadv2Logs(string logPath)
{
var readerStream = GetEmbeddedFileStream(logPath);
var reader = new HistogramLogReader(readerStream);
int histogramCount = 0;
long totalCount = 0;
var accumulatedHistogram = new LongHistogram(85899345920838, 3);
foreach (var histogram in reader.ReadHistograms())
{
histogramCount++;
Assert.IsInstanceOf<HistogramBase>(histogram, "Expected integer value histograms in log file");
totalCount += histogram.TotalCount;
accumulatedHistogram.Add(histogram);
}
Assert.AreEqual(62, histogramCount);
Assert.AreEqual(48761, totalCount);
Assert.AreEqual(1745879039, accumulatedHistogram.GetValueAtPercentile(99.9));
Assert.AreEqual(1796210687, accumulatedHistogram.GetMaxValue());
Assert.AreEqual(1441812279.474, reader.GetStartTime().SecondsSinceUnixEpoch());
}
public void testRecordValue_Overflow_ShouldThrowException()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.Catch<IndexOutOfRangeException>(()=>longHistogram.RecordValue(HighestTrackableValue * 3));
}
public void TestAdd()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var other = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
longHistogram.RecordValue(TestValueLevel * 1000);
other.RecordValue(TestValueLevel);
other.RecordValue(TestValueLevel * 1000);
longHistogram.Add(other);
Assert.AreEqual(2L, longHistogram.GetCountAtValue(TestValueLevel));
Assert.AreEqual(2L, longHistogram.GetCountAtValue(TestValueLevel * 1000));
Assert.AreEqual(4L, longHistogram.TotalCount);
var biggerOther = new LongHistogram(HighestTrackableValue * 2, NumberOfSignificantValueDigits);
biggerOther.RecordValue(TestValueLevel);
biggerOther.RecordValue(TestValueLevel * 1000);
// Adding the smaller histogram to the bigger one should work:
biggerOther.Add(longHistogram);
Assert.AreEqual(3L, biggerOther.GetCountAtValue(TestValueLevel));
Assert.AreEqual(3L, biggerOther.GetCountAtValue(TestValueLevel * 1000));
Assert.AreEqual(6L, biggerOther.TotalCount);
// But trying to add a larger histogram into a smaller one should throw an AIOOB:
Assert.Throws<ArgumentOutOfRangeException>(() => { longHistogram.Add(biggerOther); });
}
public void TestSizeOfEquivalentValueRange()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1, longHistogram.SizeOfEquivalentValueRange(1), "Size of equivalent range for value 1 is 1");
Assert.AreEqual(2, longHistogram.SizeOfEquivalentValueRange(2500), "Size of equivalent range for value 2500 is 2");
Assert.AreEqual(4, longHistogram.SizeOfEquivalentValueRange(8191), "Size of equivalent range for value 8191 is 4");
Assert.AreEqual(8, longHistogram.SizeOfEquivalentValueRange(8192), "Size of equivalent range for value 8192 is 8");
Assert.AreEqual(8, longHistogram.SizeOfEquivalentValueRange(10000), "Size of equivalent range for value 10000 is 8");
}
public void TestScaledCopyInto()
{
var longHistogram = new LongHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
var targetLongHistogram = new LongHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
longHistogram.RecordValue(TestValueLevel * 10);
longHistogram.RecordValueWithExpectedInterval(longHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for scaled Histogram:");
longHistogram.CopyInto(targetLongHistogram);
AssertEqual(longHistogram, targetLongHistogram);
longHistogram.RecordValue(TestValueLevel * 20);
longHistogram.CopyInto(targetLongHistogram);
AssertEqual(longHistogram, targetLongHistogram);
var intHistogram = new IntHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
var targetIntHistogram = new IntHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
intHistogram.RecordValue(TestValueLevel);
intHistogram.RecordValue(TestValueLevel * 10);
intHistogram.RecordValueWithExpectedInterval(intHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for scaled IntHistogram:");
intHistogram.CopyInto(targetIntHistogram);
AssertEqual(intHistogram, targetIntHistogram);
intHistogram.RecordValue(TestValueLevel * 20);
intHistogram.CopyInto(targetIntHistogram);
AssertEqual(intHistogram, targetIntHistogram);
var shortHistogram = new ShortHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
var targetShortHistogram = new ShortHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
shortHistogram.RecordValue(TestValueLevel);
shortHistogram.RecordValue(TestValueLevel * 10);
shortHistogram.RecordValueWithExpectedInterval(shortHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for scaled ShortHistogram:");
shortHistogram.CopyInto(targetShortHistogram);
AssertEqual(shortHistogram, targetShortHistogram);
shortHistogram.RecordValue(TestValueLevel * 20);
shortHistogram.CopyInto(targetShortHistogram);
AssertEqual(shortHistogram, targetShortHistogram);
var syncHistogram = new SynchronizedHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
var targetSyncHistogram = new SynchronizedHistogram(1000, HighestTrackableValue, NumberOfSignificantValueDigits);
syncHistogram.RecordValue(TestValueLevel);
syncHistogram.RecordValue(TestValueLevel * 10);
syncHistogram.RecordValueWithExpectedInterval(syncHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for scaled SynchronizedHistogram:");
syncHistogram.CopyInto(targetSyncHistogram);
AssertEqual(syncHistogram, targetSyncHistogram);
syncHistogram.RecordValue(TestValueLevel * 20);
syncHistogram.CopyInto(targetSyncHistogram);
AssertEqual(syncHistogram, targetSyncHistogram);
}
public void TestLowestEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(10000, longHistogram.LowestEquivalentValue(10007), "The lowest equivalent value to 10007 is 10000");
Assert.AreEqual(10008, longHistogram.LowestEquivalentValue(10009), "The lowest equivalent value to 10009 is 10008");
}
public void Using_external_histogram_for_recycling_throws()
{
var externallyCreatedHistogram = new LongHistogram(HighestTrackableValue, 3);
var recorder = new Recorder(1, HighestTrackableValue, NumberOfSignificantValueDigits, (id, lowest, highest, sf) => new LongHistogram(id, lowest, highest, sf));
recorder.RecordValue(1000);
Assert.Throws<InvalidOperationException>(() => recorder.GetIntervalHistogram(externallyCreatedHistogram));
recorder.GetIntervalHistogramInto(externallyCreatedHistogram);
}
public void TestCopy()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
longHistogram.RecordValue(TestValueLevel * 10);
longHistogram.RecordValueWithExpectedInterval(longHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copy of Histogram:");
AssertEqual(longHistogram, longHistogram.Copy());
var intHistogram = new IntHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
intHistogram.RecordValue(TestValueLevel);
intHistogram.RecordValue(TestValueLevel * 10);
intHistogram.RecordValueWithExpectedInterval(intHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copy of IntHistogram:");
AssertEqual(intHistogram, intHistogram.Copy());
var shortHistogram = new ShortHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
shortHistogram.RecordValue(TestValueLevel);
shortHistogram.RecordValue(TestValueLevel * 10);
shortHistogram.RecordValueWithExpectedInterval(shortHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copy of ShortHistogram:");
AssertEqual(shortHistogram, shortHistogram.Copy());
var syncHistogram = new SynchronizedHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
syncHistogram.RecordValue(TestValueLevel);
syncHistogram.RecordValue(TestValueLevel * 10);
syncHistogram.RecordValueWithExpectedInterval(syncHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copy of SynchronizedHistogram:");
AssertEqual(syncHistogram, syncHistogram.Copy());
}
public void TestNextNonEquivalentValue()
{
//HACK: WTF does this prove? -LC
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.IsNotNull(longHistogram);
}
public void TestScaledMedianEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(4 * 1024 + 512, longHistogram.MedianEquivalentValue(4 * 1024), "The median equivalent value to 4 * 1024 is 4 * 1024 + 512");
Assert.AreEqual(5 * 1024 + 512, longHistogram.MedianEquivalentValue(5 * 1024), "The median equivalent value to 5 * 1024 is 5 * 1024 + 512");
Assert.AreEqual(4001 * 1024, longHistogram.MedianEquivalentValue(4000 * 1024), "The median equivalent value to 4000 * 1024 is 4001 * 1024");
Assert.AreEqual(8002 * 1024, longHistogram.MedianEquivalentValue(8000 * 1024), "The median equivalent value to 8000 * 1024 is 8002 * 1024");
Assert.AreEqual(10004 * 1024, longHistogram.MedianEquivalentValue(10007 * 1024), "The median equivalent value to 10007 * 1024 is 10004 * 1024");
}
public void TestMedianEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(4, longHistogram.MedianEquivalentValue(4), "The median equivalent value to 4 is 4");
Assert.AreEqual(5, longHistogram.MedianEquivalentValue(5), "The median equivalent value to 5 is 5");
Assert.AreEqual(4001, longHistogram.MedianEquivalentValue(4000), "The median equivalent value to 4000 is 4001");
Assert.AreEqual(8002, longHistogram.MedianEquivalentValue(8000), "The median equivalent value to 8000 is 8002");
Assert.AreEqual(10004, longHistogram.MedianEquivalentValue(10007), "The median equivalent value to 10007 is 10004");
}
public void TestScaledSizeOfEquivalentValueRange()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(1 * 1024, longHistogram.SizeOfEquivalentValueRange(1 * 1024), "Size of equivalent range for value 1 * 1024 is 1 * 1024");
Assert.AreEqual(2 * 1024, longHistogram.SizeOfEquivalentValueRange(2500 * 1024), "Size of equivalent range for value 2500 * 1024 is 2 * 1024");
Assert.AreEqual(4 * 1024, longHistogram.SizeOfEquivalentValueRange(8191 * 1024), "Size of equivalent range for value 8191 * 1024 is 4 * 1024");
Assert.AreEqual(8 * 1024, longHistogram.SizeOfEquivalentValueRange(8192 * 1024), "Size of equivalent range for value 8192 * 1024 is 8 * 1024");
Assert.AreEqual(8 * 1024, longHistogram.SizeOfEquivalentValueRange(10000 * 1024), "Size of equivalent range for value 10000 * 1024 is 8 * 1024");
}
public void TestCopyInto()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var targetLongHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
longHistogram.RecordValue(TestValueLevel);
longHistogram.RecordValue(TestValueLevel * 10);
longHistogram.RecordValueWithExpectedInterval(longHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for Histogram:");
longHistogram.CopyInto(targetLongHistogram);
AssertEqual(longHistogram, targetLongHistogram);
longHistogram.RecordValue(TestValueLevel * 20);
longHistogram.CopyInto(targetLongHistogram);
AssertEqual(longHistogram, targetLongHistogram);
var intHistogram = new IntHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var targetIntHistogram = new IntHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
intHistogram.RecordValue(TestValueLevel);
intHistogram.RecordValue(TestValueLevel * 10);
intHistogram.RecordValueWithExpectedInterval(intHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for IntHistogram:");
intHistogram.CopyInto(targetIntHistogram);
AssertEqual(intHistogram, targetIntHistogram);
intHistogram.RecordValue(TestValueLevel * 20);
intHistogram.CopyInto(targetIntHistogram);
AssertEqual(intHistogram, targetIntHistogram);
var shortHistogram = new ShortHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var targetShortHistogram = new ShortHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
shortHistogram.RecordValue(TestValueLevel);
shortHistogram.RecordValue(TestValueLevel * 10);
shortHistogram.RecordValueWithExpectedInterval(shortHistogram.HighestTrackableValue - 1, 31000);
Console.WriteLine("Testing copyInto for ShortHistogram:");
shortHistogram.CopyInto(targetShortHistogram);
AssertEqual(shortHistogram, targetShortHistogram);
shortHistogram.RecordValue(TestValueLevel * 20);
shortHistogram.CopyInto(targetShortHistogram);
AssertEqual(shortHistogram, targetShortHistogram);
Console.WriteLine("Testing copyInto for AtomicHistogram:");
var syncHistogram = new SynchronizedHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
var targetSyncHistogram = new SynchronizedHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
syncHistogram.RecordValue(TestValueLevel);
syncHistogram.RecordValue(TestValueLevel * 10);
syncHistogram.RecordValueWithExpectedInterval(syncHistogram.HighestTrackableValue - 1, 31000); // Should this really be 31, if it is the test takes 1min!!!);
Console.WriteLine("Testing copyInto for SynchronizedHistogram:");
syncHistogram.CopyInto(targetSyncHistogram);
AssertEqual(syncHistogram, targetSyncHistogram);
syncHistogram.RecordValue(TestValueLevel * 20);
syncHistogram.CopyInto(targetSyncHistogram);
AssertEqual(syncHistogram, targetSyncHistogram);
}
public void TestHighestEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(8183 * 1024 + 1023, longHistogram.HighestEquivalentValue(8180 * 1024), "The highest equivalent value to 8180 * 1024 is 8183 * 1024 + 1023");
Assert.AreEqual(8191 * 1024 + 1023, longHistogram.HighestEquivalentValue(8191 * 1024), "The highest equivalent value to 8187 * 1024 is 8191 * 1024 + 1023");
Assert.AreEqual(8199 * 1024 + 1023, longHistogram.HighestEquivalentValue(8193 * 1024), "The highest equivalent value to 8193 * 1024 is 8199 * 1024 + 1023");
Assert.AreEqual(9999 * 1024 + 1023, longHistogram.HighestEquivalentValue(9995 * 1024), "The highest equivalent value to 9995 * 1024 is 9999 * 1024 + 1023");
Assert.AreEqual(10007 * 1024 + 1023, longHistogram.HighestEquivalentValue(10007 * 1024), "The highest equivalent value to 10007 * 1024 is 10007 * 1024 + 1023");
Assert.AreEqual(10015 * 1024 + 1023, longHistogram.HighestEquivalentValue(10008 * 1024), "The highest equivalent value to 10008 * 1024 is 10015 * 1024 + 1023");
}
public void TestScaledLowestEquivalentValue()
{
var longHistogram = new LongHistogram(1024, HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(10000 * 1024, longHistogram.LowestEquivalentValue(10007 * 1024), "The lowest equivalent value to 10007 * 1024 is 10000 * 1024");
Assert.AreEqual(10008 * 1024, longHistogram.LowestEquivalentValue(10009 * 1024), "The lowest equivalent value to 10009 * 1024 is 10008 * 1024");
}
public void CanReadv1Logs_Skip_PreStart(string logPath, int skip, int take,
int expectedHistogramCount, int expectedCombinedValueCount,
int expectedCombined999, long expectedCombinedMaxLength,
double expectedStartTime)
{
var readerStream = GetEmbeddedFileStream(logPath);
var reader = new HistogramLogReader(readerStream);
int histogramCount = 0;
long totalCount = 0;
HistogramBase accumulatedHistogram = new LongHistogram(3600L * 1000 * 1000 * 1000, 3);
var histograms = reader.ReadHistograms()
.Where(h => h.StartTimeStamp >= reader.GetStartTime().MillisecondsSinceUnixEpoch())
.Skip(skip)
.Take(take);
foreach (var histogram in histograms)
{
histogramCount++;
totalCount += histogram.TotalCount;
accumulatedHistogram.Add(histogram);
}
Assert.AreEqual(expectedHistogramCount, histogramCount);
Assert.AreEqual(expectedCombinedValueCount, totalCount);
Assert.AreEqual(expectedCombined999, accumulatedHistogram.GetValueAtPercentile(99.9));
Assert.AreEqual(expectedCombinedMaxLength, accumulatedHistogram.GetMaxValue());
Assert.AreEqual(expectedStartTime, reader.GetStartTime().SecondsSinceUnixEpoch());
}
public void TestScaledHighestEquivalentValue()
{
var longHistogram = new LongHistogram(HighestTrackableValue, NumberOfSignificantValueDigits);
Assert.AreEqual(8183, longHistogram.HighestEquivalentValue(8180), "The highest equivalent value to 8180 is 8183");
Assert.AreEqual(8191, longHistogram.HighestEquivalentValue(8191), "The highest equivalent value to 8187 is 8191");
Assert.AreEqual(8199, longHistogram.HighestEquivalentValue(8193), "The highest equivalent value to 8193 is 8199");
Assert.AreEqual(9999, longHistogram.HighestEquivalentValue(9995), "The highest equivalent value to 9995 is 9999");
Assert.AreEqual(10007, longHistogram.HighestEquivalentValue(10007), "The highest equivalent value to 10007 is 10007");
Assert.AreEqual(10015, longHistogram.HighestEquivalentValue(10008), "The highest equivalent value to 10008 is 10015");
}
