public static IEnumerable <Metric> ToPrometheusMetrics(this HistogramValueSource metric)
{
var result = new List <Metric>
{
new Metric
{
summary = new Summary
{
sample_count = (ulong)metric.Value.Count,
sample_sum = metric.Value.Sum,
quantile =
{
new Quantile {
quantile = 0.5, value = metric.Value.Mean
},
new Quantile {
quantile = 0.75, value = metric.Value.Percentile75
},
new Quantile {
quantile = 0.95, value = metric.Value.Percentile95
},
// new Quantile(){quantile = 0.98, value = metric.Value.Percentile98},
new Quantile {
quantile = 0.99, value = metric.Value.Percentile99
},
// new Quantile(){quantile = 0.999, value = metric.Value.Percentile999}
}
},
label = metric.Tags.ToLabelPairs()
}
};
return(result);
}
private static MetricTelemetry Translate(HistogramValueSource source, string contextName, DateTimeOffset now)
{
var mt = MetricFactory.CreateMetric(source, contextName, now);
source.Value.CopyTo(mt);
return(mt);
}
private IEnumerable <HistogramValueSource> SetupHistograms()
{
var histogramValue = new HistogramValue(1, 1, 2, "3", 4, "5", 6, 7, "8", 9, 10, 11, 12, 13, 14, 15, 16);
var histogram = new HistogramValueSource(HistogramNameDefault, ConstantValue.Provider(histogramValue), Unit.Items, Tags);
return(new[] { histogram });
}
public HistogramSerializationTests(ITestOutputHelper output, MetricProviderTestFixture fixture)
{
_output = output;
_serializer = new MetricDataSerializer();
_histogram = fixture.Histograms.First(x => x.Name == fixture.HistogramNameDefault);
_histogramWithGroup = fixture.Histograms.First(x => x.Name == fixture.HistogramNameWithGroup);
}
public static Histogram ToMetric(this HistogramValueSource source)
{
return(new Histogram
{
Name = source.Name,
Count = source.Value.Count,
Unit = source.Unit.Name,
LastUserValue = source.Value.LastUserValue,
LastValue = source.Value.LastValue,
Max = source.Value.Max,
MaxUserValue = source.Value.MaxUserValue,
Mean = source.Value.Mean,
Median = source.Value.Median,
Min = source.Value.Min,
MinUserValue = source.Value.MinUserValue,
Percentile75 = source.Value.Percentile75,
Percentile95 = source.Value.Percentile95,
Percentile98 = source.Value.Percentile98,
Percentile99 = source.Value.Percentile99,
Percentile999 = source.Value.Percentile999,
SampleSize = source.Value.SampleSize,
StdDev = source.Value.StdDev,
Tags = source.Tags
});
}
private void ReportHistogram(HistogramValueSource g)
{
string name = g.Name;
HistogramValue value = GetMetricValueSourceValue <HistogramValue>(g.ValueProvider);
Unit unit = g.Unit;
Pack(name, HistogramColumns, new object[] {
value.Count,
value.LastValue,
value.LastUserValue ?? "\"\"",
value.Min,
value.MinUserValue ?? "\"\"",
value.Mean,
value.Max,
value.MaxUserValue ?? "\"\"",
value.StdDev,
value.Median,
value.Percentile75,
value.Percentile95,
value.Percentile98,
value.Percentile99,
value.Percentile999,
value.SampleSize
}, g.Tags);
}
public JsonSerializationTests()
{
var eventFields = new Dictionary <string, object>();
eventFields.Add("field", "value");
eventFields.Add("abc", "123");
eventValue = new EventValue(new List <EventDetails>
{
new EventDetails(eventFields, new DateTime(1, 1, 1))
});
this.timerValue = new TimerValue(this.meterValue, this.histogramValue, 0, 1, TimeUnit.Nanoseconds);
this.counter = new CounterValueSource("test1", Provider(counterValue), Unit.Errors, MetricTags.None);
this.meter = new MeterValueSource("test2", Provider(meterValue), Unit.Calls, TimeUnit.Seconds, MetricTags.None);
this.histogram = new HistogramValueSource("test3", Provider(histogramValue), Unit.Items, MetricTags.None);
this.timer = new TimerValueSource("test4", Provider(timerValue), Unit.Requests, TimeUnit.Seconds, TimeUnit.Milliseconds, MetricTags.None);
this.evnt = new EventValueSource("test5", Provider(eventValue), MetricTags.None);
this.data = new MetricsData("test", new DateTime(2014, 2, 17), new[] { new EnvironmentEntry("name", "1") },
new[] { gauge }, new[] { counter }, new[] { meter }, new[] { histogram }, new[] { timer }, new[] { evnt },
Enumerable.Empty <MetricsData>()
);
this.jsonContext = JsonMetricsContext.FromContext(this.data, "1");
}
public static JsonHistogram FromHistogram(HistogramValueSource histogram)
{
return(new JsonHistogram
{
Name = histogram.Name,
Count = histogram.Value.Count,
LastValue = histogram.Value.LastValue,
LastUserValue = histogram.Value.LastUserValue,
Max = histogram.Value.Max,
MaxUserValue = histogram.Value.MaxUserValue,
Mean = histogram.Value.Mean,
Min = histogram.Value.Min,
MinUserValue = histogram.Value.MinUserValue,
StdDev = histogram.Value.StdDev,
Median = histogram.Value.Median,
Percentile75 = histogram.Value.Percentile75,
Percentile95 = histogram.Value.Percentile95,
Percentile98 = histogram.Value.Percentile98,
Percentile99 = histogram.Value.Percentile99,
Percentile999 = histogram.Value.Percentile999,
SampleSize = histogram.Value.SampleSize,
Unit = histogram.Unit.Name,
Tags = histogram.Tags,
Sum = histogram.Value.Sum
});
}
public IEnumerable <HistogramValueSource> SetupHistograms()
{
var histogramValue = new HistogramValue(1, 2, "3", 4, "5", 6, 7, "8", 9, 10, 11, 12, 13, 14, 15, 16);
var histogram = new HistogramValueSource("test_histgram", ConstantValue.Provider(histogramValue), Unit.Items, Tags);
return(new[] { histogram });
}
public static IEnumerable <MetricsValue> ToPrometheusMetrics(this HistogramValueSource metric)
{
var result = new List <MetricsValue>
{
new MetricsValue
{
Summary = new Summary
{
Sample_Count = (ulong)metric.Value.Count,
Sample_Sum = metric.Value.Sum,
Quantile =
{
new Quantile {
QuantileValue = 0.5, Value = metric.Value.Median
},
new Quantile {
QuantileValue = 0.75, Value = metric.Value.Percentile75
},
new Quantile {
QuantileValue = 0.95, Value = metric.Value.Percentile95
},
new Quantile {
QuantileValue = 0.99, Value = metric.Value.Percentile99
}
}
},
Label = metric.Tags.ToLabelPairs()
}
};
return(result);
}
private MetricsContextValueSource CreateValueSource(
string context,
GaugeValueSource gauges = null,
CounterValueSource counters = null,
MeterValueSource meters = null,
HistogramValueSource histograms = null,
BucketHistogramValueSource bucketHistograms = null,
TimerValueSource timers = null,
BucketTimerValueSource bucketTimers = null,
ApdexValueSource apdexScores = null)
{
var gaugeValues = gauges != null ? new[] { gauges } : Enumerable.Empty <GaugeValueSource>();
var counterValues = counters != null ? new[] { counters } : Enumerable.Empty <CounterValueSource>();
var meterValues = meters != null ? new[] { meters } : Enumerable.Empty <MeterValueSource>();
var histogramValues = histograms != null ? new[] { histograms } : Enumerable.Empty <HistogramValueSource>();
var bucketHistogramValues = bucketHistograms != null ? new[] { bucketHistograms } : Enumerable.Empty <BucketHistogramValueSource>();
var timerValues = timers != null ? new[] { timers } : Enumerable.Empty <TimerValueSource>();
var bucketTimerValues = bucketTimers != null ? new[] { bucketTimers } : Enumerable.Empty <BucketTimerValueSource>();
var apdexScoreValues = apdexScores != null ? new[] { apdexScores } : Enumerable.Empty <ApdexValueSource>();
return(new MetricsContextValueSource(
context,
gaugeValues,
counterValues,
meterValues,
histogramValues,
bucketHistogramValues,
timerValues,
bucketTimerValues,
apdexScoreValues));
}
/// <summary>
/// Determines whether the specified histogram is match.
/// </summary>
/// <param name="histogram">The histogram.</param>
/// <returns></returns>
public bool IsMatch(HistogramValueSource histogram)
{
if (_types != null && !_types.Contains(MetricType.Histogram))
{
return(false);
}
return(IsMetricNameMatch(histogram.Name) && IsTagMatch(histogram.Tags));
}
private static MetricTelemetry TranslateHistogramSource(HistogramValueSource source, string contextName, DateTimeOffset now)
{
var mt = MetricFactory.CreateMetric(source, contextName, now);
TranslateTags(source.Tags, mt);
TranslateHistogram(source.Value, mt, Constants.HistogramTypeValue);
return(mt);
}
public IHistogram Histogram <T>(HistogramOptions options, Func <T> builder) where T : IHistogramMetric
{
return(_histograms.GetOrAdd(options.Name, () =>
{
var histogram = builder();
var valueSource = new HistogramValueSource(options.Name, histogram, options.MeasurementUnit, AllTags(options.Tags));
return Tuple.Create((IHistogram)histogram, valueSource);
}));
}
public void can_hummanize_histogram()
{
var expected =
"\r\n Count = 1 Items\r\n Last = 2.00 Items\r\n Last User Value = 3\r\n Min = 7.00 Items\r\n Min User Value = 8\r\n Max = 4.00 Items\r\n Max User Value = 5\r\n Mean = 6.00 Items\r\n StdDev = 9.00 Items\r\n Median = 10.00 Items\r\n 75% <= 11.00 Items\r\n 95% <= 12.00 Items\r\n 98% <= 13.00 Items\r\n 99% <= 14.00 Items\r\n 99.9% <= 15.00 Items\r\n";
var histogramValue = new HistogramValue(1, 2, "3", 4, "5", 6, 7, "8", 9, 10, 11, 12, 13, 14, 15, 16);
var histogramValueSource = new HistogramValueSource("test_histgram", ConstantValue.Provider(histogramValue), Unit.Items, MetricTags.None);
var result = histogramValueSource.Hummanize();
Assert.Equal(result, expected);
}
private static IEnumerable <JsonProperty> ToJsonProperties(HistogramValueSource histogram)
{
yield return(new JsonProperty("Name", histogram.Name));
foreach (var property in ToJsonProperties(histogram.Value))
{
yield return(property);
}
yield return(new JsonProperty("Unit", histogram.Unit.Name));
}
public JsonSerializationTests()
{
this.timerValue = new TimerValue(this.meterValue, this.histogramValue, 0, 1, TimeUnit.Nanoseconds);
this.counter = new CounterValueSource("test1", Provider(counterValue), Unit.Errors, MetricTags.None);
this.meter = new MeterValueSource("test2", Provider(meterValue), Unit.Calls, TimeUnit.Seconds, MetricTags.None);
this.histogram = new HistogramValueSource("test3", Provider(histogramValue), Unit.Items, MetricTags.None);
this.timer = new TimerValueSource("test4", Provider(timerValue), Unit.Requests, TimeUnit.Seconds, TimeUnit.Milliseconds, MetricTags.None);
this.data = new MetricsData("test", new DateTime(2014, 2, 17), new[] { new EnvironmentEntry("name", "1") },
new[] { gauge }, new[] { counter }, new[] { meter }, new[] { histogram }, new[] { timer },
Enumerable.Empty <MetricsData>()
);
this.jsonContext = JsonMetricsContext.FromContext(this.data, "1");
}
private static MetricDatum Translate(HistogramValueSource source, string contextName, DateTimeOffset now)
{
var mt = new MetricDatum
{
MetricName = contextName,
TimestampUtc = now.UtcDateTime,
StatisticValues = new StatisticSet
{
Maximum = source.Value.Max,
Minimum = source.Value.Min,
SampleCount = source.Value.Count,
Sum = source.Value.Sum
}
};
return(mt);
}
public async Task Can_report_histograms_when_multidimensional()
{
// Arrange
var expected = "test.test_histogram.histogram.value:1000|h";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram" + MultidimensionalMetricNameSuffix,
ConstantValue.Provider(histogram.Value),
Unit.None,
_tags);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
await AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public void can_report_histograms()
{
var metricsMock = new Mock <IMetrics>();
var histogram = new HistogramMetric(SamplingType.ExponentiallyDecaying, 1028, 0.015);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource("test histogram",
ConstantValue.Provider(histogram.Value), Unit.None, MetricTags.None);
var payloadBuilder = new LineProtocolPayloadBuilder();
var reporter = CreateReporter(payloadBuilder);
reporter.StartReportRun(metricsMock.Object);
reporter.ReportMetric("test", histogramValueSource);
payloadBuilder.PayloadFormatted()
.Should()
.Be(
"test__test_histogram samples=1i,last=1000,count.hist=1i,min=1000,max=1000,mean=1000,median=1000,stddev=0,p999=1000,p99=1000,p98=1000,p95=1000,p75=1000,user.last=\"client1\",user.min=\"client1\",user.max=\"client1\"\n");
}
public async Task Can_report_histograms_when_multidimensional()
{
// Arrange
var expected =
"{\"series\":[{\"metric\":\"test.test_histogram.histogram.samples\",\"points\":[[1483232461,1]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.last\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.count.hist\",\"points\":[[1483232461,1]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.sum\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.min\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.max\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.mean\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.median\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.stddev\",\"points\":[[1483232461,0]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.p999\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.p99\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.p98\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.p95\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.p75\",\"points\":[[1483232461,1000]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.user.last\",\"points\":[[1483232461,0]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.user.min\",\"points\":[[1483232461,0]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]},{\"metric\":\"test.test_histogram.histogram.user.max\",\"points\":[[1483232461,0]],\"type\":\"gauge\",\"tags\":[\"host:server1\",\"env:staging\",\"unit:none\"]}]}";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram" + MultidimensionalMetricNameSuffix,
ConstantValue.Provider(histogram.Value),
Unit.None,
_tags);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
await AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), FlushInterval, expected);
}
public void Can_report_histograms_when_multidimensional()
{
// Arrange
var expected =
"env.staging.histogram.test.test_histogram.host.server1.Samples 1 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Last 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Count 1 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Sum 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Min 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Max 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Mean 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Median 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.StdDev 0.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Percentile-999 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Percentile-99 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Percentile-98 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Percentile-95 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.Percentile-75 1000.00 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.User-Last client1 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.User-Min client1 1483232461\nenv.staging.histogram.test.test_histogram.host.server1.User-Max client1 1483232461\n";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram" + MultidimensionalMetricNameSuffix,
ConstantValue.Provider(histogram.Value),
Unit.None,
_tags);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public async Task Can_report_histograms()
{
// Arrange
var expected =
"test.test_histogram.histogram.value:1000|h|#unit:none,timestamp:1483232461";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram",
ConstantValue.Provider(histogram.Value),
Unit.None,
MetricTags.Empty);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
await AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public async Task Can_report_histograms()
{
// Arrange
var expected =
"test__test_histogram,mtype=histogram,unit=none samples=1i,last=1000,count.hist=1i,sum=1000,min=1000,max=1000,mean=1000,median=1000,stddev=0,p999=1000,p99=1000,p98=1000,p95=1000,p75=1000,user.last=\"client1\",user.min=\"client1\",user.max=\"client1\" 1483232461000000000\n";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram",
ConstantValue.Provider(histogram.Value),
Unit.None,
MetricTags.Empty);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
await AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public IHistogram Histogram <T>(HistogramOptions options, Func <T> builder)
where T : IHistogramMetric
{
return(_histograms.GetOrAdd(
options.Name,
() =>
{
var allTags = AllTags(options.Tags);
Logger.Debug("Adding Histogram {Name} - {@Options} {MesurementUnit} {@Tags}", options.Name, options, options.MeasurementUnit.ToString(), allTags.ToDictionary());
var histogram = builder();
var valueSource = new HistogramValueSource(
options.Name,
histogram,
options.MeasurementUnit,
allTags);
return Tuple.Create((IHistogram)histogram, valueSource);
}));
}
public void Can_report_histograms_when_multidimensional()
{
// Arrange
var expected =
"test__test_histogram,host=server1,env=staging,mtype=histogram,unit=none samples=1i,last=1000,count.hist=1i,sum=1000,min=1000,max=1000,mean=1000,median=1000,stddev=0,p999=1000,p99=1000,p98=1000,p95=1000,p75=1000,user.last=\"client1\",user.min=\"client1\",user.max=\"client1\" 1483232461000000000\n";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram" + MultidimensionalMetricNameSuffix,
ConstantValue.Provider(histogram.Value),
Unit.None,
_tags);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public void Can_report_histograms()
{
// Arrange
var expected =
"histogram.test.test_histogram.Samples 1 1483232461\nhistogram.test.test_histogram.Last 1000.00 1483232461\nhistogram.test.test_histogram.Count 1 1483232461\nhistogram.test.test_histogram.Sum 1000.00 1483232461\nhistogram.test.test_histogram.Min 1000.00 1483232461\nhistogram.test.test_histogram.Max 1000.00 1483232461\nhistogram.test.test_histogram.Mean 1000.00 1483232461\nhistogram.test.test_histogram.Median 1000.00 1483232461\nhistogram.test.test_histogram.StdDev 0.00 1483232461\nhistogram.test.test_histogram.Percentile-999 1000.00 1483232461\nhistogram.test.test_histogram.Percentile-99 1000.00 1483232461\nhistogram.test.test_histogram.Percentile-98 1000.00 1483232461\nhistogram.test.test_histogram.Percentile-95 1000.00 1483232461\nhistogram.test.test_histogram.Percentile-75 1000.00 1483232461\nhistogram.test.test_histogram.User-Last client1 1483232461\nhistogram.test.test_histogram.User-Min client1 1483232461\nhistogram.test.test_histogram.User-Max client1 1483232461\n";
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram",
ConstantValue.Provider(histogram.Value),
Unit.None,
MetricTags.Empty);
// Act
var valueSource = CreateValueSource("test", histograms: histogramValueSource);
// Assert
AssertExpectedLineProtocolString(new MetricsDataValueSource(_timestamp, new[] { valueSource }), expected);
}
public void can_report_histograms_when_multidimensional()
{
var metricsMock = new Mock <IMetrics>();
var histogram = new DefaultHistogramMetric(_defaultReservoir);
histogram.Update(1000, "client1");
var histogramValueSource = new HistogramValueSource(
"test histogram" + MultidimensionalMetricNameSuffix,
ConstantValue.Provider(histogram.Value),
Unit.None,
_tags);
var items = CreateReporterAndPayloadBuilder();
items.Item1.StartReportRun(metricsMock.Object);
items.Item1.ReportMetric("test", histogramValueSource);
items.Item2.PayloadFormatted().
Should().
Be(
"test__test_histogram host=server1 env=staging mtype=histogram unit=none samples=1i last=1000 count.hist=1i sum=1000 min=1000 max=1000 mean=1000 median=1000 stddev=0 p999=1000 p99=1000 p98=1000 p95=1000 p75=1000 user.last=\"client1\" user.min=\"client1\" user.max=\"client1\"" + Environment.NewLine);
}
public static IEnumerable <MetricValue> ToMackerelMetrics(this HistogramValueSource metric)
{
var result = new List <MetricValue>
{
new MetricValue
{
name = "Meta.Count",
value = metric.Value.Count
},
new MetricValue
{
name = "Meta.Sum",
value = metric.Value.Sum.ToDecimal()
},
new MetricValue
{
name = "Median",
value = metric.Value.Median.ToDecimal()
},
new MetricValue
{
name = "Percentile75",
value = metric.Value.Percentile75.ToDecimal()
},
new MetricValue
{
name = "Percentile95",
value = metric.Value.Percentile95.ToDecimal()
},
new MetricValue
{
name = "Percentile99",
value = metric.Value.Percentile99.ToDecimal()
},
};
// new Quantile(){quantile = 0.98, value = metric.Value.Percentile98},
// new Quantile(){quantile = 0.999, value = metric.Value.Percentile999}
return(result);
}
/// <inheritdoc />
public IHistogram Histogram <T>(HistogramOptions options, MetricTags tags, Func <T> builder)
where T : IHistogramMetric
{
var allTags = AllTags(MetricTags.Concat(options.Tags, tags));
var metricName = allTags.AsMetricName(options.Name);
return(_histograms.GetOrAdd(
metricName,
() =>
{
Logger.Trace("Adding Histogram {Name} - {@Options} {MesurementUnit} {@Tags}", metricName, options, options.MeasurementUnit.ToString(), allTags.ToDictionary());
var histogram = builder();
var valueSource = new HistogramValueSource(
metricName,
histogram,
options.MeasurementUnit,
allTags,
options.ResetOnReporting);
return Tuple.Create((IHistogram)histogram, valueSource);
}));
}
public bool IsMatch(HistogramValueSource histogram)
{
if (types != null && !types.Contains(MetricType.Histogram))
{
return false;
}
return IsNameMatch(histogram.Name);
}
private static IEnumerable<Google.ICanReportToGoogleAnalytics> Map(HistogramValueSource histogram, string context)
{
return new Google.Histogram(FullName(histogram.Name, context), histogram.Unit.Name, histogram.Value.Count,
histogram.Value.LastValue, histogram.Value.Max, histogram.Value.Min, histogram.Value.Mean, histogram.Value.StdDev,
histogram.Value.Percentile75, histogram.Value.Percentile95, histogram.Value.Percentile98, histogram.Value.Percentile99, histogram.Value.Percentile999);
}
public bool IsMatch(HistogramValueSource histogram) { return true; }
