public NaiveDistinctCountMetricSeriesAggregator(
NaiveDistinctCountMetricSeriesConfiguration configuration,
MetricSeries dataSeries,
MetricAggregationCycleKind aggregationCycleKind)
: base(MetricValuesBufferFactory, configuration, dataSeries, aggregationCycleKind)
{
_caseSensitive = configuration.IsCaseSensitiveDistinctions;
}
public void CreateAggregateUnsafe()
{
var aggregationManager = new MetricAggregationManager();
var seriesConfig = new NaiveDistinctCountMetricSeriesConfiguration(usePersistentAggregation: false);
var metric = new MetricSeries(
aggregationManager,
"Distinct Cows Sold",
new KeyValuePair <string, string>[] { new KeyValuePair <string, string>("Dim 1", "DV1"),
new KeyValuePair <string, string>("Dim 2", "DV2"),
new KeyValuePair <string, string>("Dim 3", "DV3"),
new KeyValuePair <string, string>("Dim 2", "DV2a") },
seriesConfig);
var aggregator = new NaiveDistinctCountMetricSeriesAggregator(
(NaiveDistinctCountMetricSeriesConfiguration)metric.GetConfiguration(),
metric,
CycleKind.Custom);
var startTS = new DateTimeOffset(2017, 9, 25, 17, 0, 0, TimeSpan.FromHours(-8));
var endTS = new DateTimeOffset(2017, 9, 25, 17, 1, 0, TimeSpan.FromHours(-8));
aggregator.Reset(startTS, valueFilter: null);
aggregator.TrackValue("Foo");
aggregator.TrackValue("Bar");
aggregator.TrackValue("Foo");
MetricAggregate aggregate = aggregator.CreateAggregateUnsafe(endTS);
Assert.IsNotNull(aggregate);
Assert.AreEqual("Distinct Cows Sold", aggregate.MetricId, "aggregate.MetricId mismatch");
Assert.AreEqual(3, aggregate.AggregateData["TotalCount"], "aggregate.AggregateData[TotalCount] mismatch");
Assert.AreEqual(2, aggregate.AggregateData["DistinctCount"], "aggregate.AggregateData[DistinctCount] mismatch");
Assert.AreEqual(startTS, aggregate.AggregationPeriodStart, "metricAggregate.Timestamp mismatch");
Assert.AreEqual(
(endTS - startTS).TotalMilliseconds,
aggregate.AggregationPeriodDuration.TotalMilliseconds,
"aggregate.AggregationPeriodDuration mismatch");
Assert.AreEqual(3, aggregate.Dimensions.Count);
Assert.IsTrue(aggregate.Dimensions.ContainsKey("Dim 1"));
Assert.AreEqual("DV1", aggregate.Dimensions["Dim 1"]);
Assert.IsTrue(aggregate.Dimensions.ContainsKey("Dim 2"));
Assert.AreEqual("DV2a", aggregate.Dimensions["Dim 2"]);
Assert.IsTrue(aggregate.Dimensions.ContainsKey("Dim 3"));
Assert.AreEqual("DV3", aggregate.Dimensions["Dim 3"]);
}
/// <summary>
/// </summary>
/// <param name="other"></param>
/// <returns></returns>
public bool Equals(NaiveDistinctCountMetricSeriesConfiguration other)
{
if (other == null)
{
return(false);
}
if (Object.ReferenceEquals(this, other))
{
return(true);
}
return(this.RequiresPersistentAggregation == other.RequiresPersistentAggregation);
}
public void GetDataSeries()
{
var aggregationManager = new MetricAggregationManager();
var seriesConfig = new NaiveDistinctCountMetricSeriesConfiguration(usePersistentAggregation: false);
var metric = new MetricSeries(aggregationManager, "Cows Sold", null, seriesConfig);
var aggregatorForConcreteSeries = new NaiveDistinctCountMetricSeriesAggregator(
(NaiveDistinctCountMetricSeriesConfiguration)metric.GetConfiguration(),
dataSeries: metric,
aggregationCycleKind: CycleKind.Custom);
var aggregatorForNullSeries = new NaiveDistinctCountMetricSeriesAggregator(
new NaiveDistinctCountMetricSeriesConfiguration(usePersistentAggregation: false),
dataSeries: null,
aggregationCycleKind: CycleKind.Custom);
Assert.IsNotNull(aggregatorForConcreteSeries.DataSeries);
Assert.AreSame(metric, aggregatorForConcreteSeries.DataSeries);
Assert.IsNull(aggregatorForNullSeries.DataSeries);
}
public void CompleteAggregation()
{
var aggregationManager = new MetricAggregationManager();
var nonPersistentConfig = new NaiveDistinctCountMetricSeriesConfiguration(usePersistentAggregation: false);
var nonPersistentMetric = new MetricSeries(aggregationManager, "Unique Cows Sold", null, nonPersistentConfig);
var nonPersistentAggregator = new NaiveDistinctCountMetricSeriesAggregator(
(NaiveDistinctCountMetricSeriesConfiguration)nonPersistentMetric.GetConfiguration(),
nonPersistentMetric,
CycleKind.Custom);
var persistentConfig = new NaiveDistinctCountMetricSeriesConfiguration(usePersistentAggregation: true);
var persistentMetric = new MetricSeries(aggregationManager, "Unique Cows Sold", null, persistentConfig);
var persistentAggregator = new NaiveDistinctCountMetricSeriesAggregator(
(NaiveDistinctCountMetricSeriesConfiguration)persistentMetric.GetConfiguration(),
persistentMetric,
CycleKind.Custom);
var startTS = new DateTimeOffset(2017, 9, 25, 17, 0, 0, TimeSpan.FromHours(-8));
var endTS = new DateTimeOffset(2017, 9, 25, 17, 1, 0, TimeSpan.FromHours(-8));
long periodMillis = (long)(endTS - startTS).TotalMilliseconds;
int filterDoubleInvocationsCount = 0;
int filterObjectInvocationsCount = 0;
nonPersistentAggregator.Reset(
startTS,
new CommonSimpleDataSeriesAggregatorTests.CustomDoubleValueFilter(
filterFunctionDouble: (s, v) => { filterDoubleInvocationsCount++; return(true); },
filterFunctionObject: (s, v) => { filterObjectInvocationsCount++; return(true); }));
Assert.AreEqual(0, filterDoubleInvocationsCount);
Assert.AreEqual(0, filterObjectInvocationsCount);
nonPersistentAggregator.TrackValue(1);
nonPersistentAggregator.TrackValue("2");
nonPersistentAggregator.TrackValue(2);
MetricAggregate aggregate = nonPersistentAggregator.CompleteAggregation(endTS);
ValidateNumericAggregateValues(aggregate, name: "Unique Cows Sold", count: 3, sum: 2, max: 0, min: 0, stdDev: 0, timestamp: startTS, periodMs: periodMillis);
Assert.AreEqual(2, filterDoubleInvocationsCount);
Assert.AreEqual(1, filterObjectInvocationsCount);
nonPersistentAggregator.TrackValue("3");
nonPersistentAggregator.TrackValue(4);
aggregate = nonPersistentAggregator.CompleteAggregation(endTS);
//// We had this originally when completed agregators did not take any more values when they were non-persistent. This complexity has no benefit.
//ValidateNumericAggregateValues(aggregate, name: "Unique Cows Sold", count: 3, sum: 2, max: 0, min: 0, stdDev: 0, timestamp: startTS, periodMs: periodMillis);
//Assert.AreEqual(2, filterDoubleInvocationsCount);
//Assert.AreEqual(1, filterObjectInvocationsCount);
ValidateNumericAggregateValues(aggregate, name: "Unique Cows Sold", count: 5, sum: 4, max: 0, min: 0, stdDev: 0, timestamp: startTS, periodMs: periodMillis);
Assert.AreEqual(3, filterDoubleInvocationsCount);
Assert.AreEqual(2, filterObjectInvocationsCount);
filterDoubleInvocationsCount = 0;
filterObjectInvocationsCount = 0;
persistentAggregator.Reset(
startTS,
new CommonSimpleDataSeriesAggregatorTests.CustomDoubleValueFilter(
filterFunctionDouble: (s, v) => { filterDoubleInvocationsCount++; return(true); },
filterFunctionObject: (s, v) => { filterObjectInvocationsCount++; return(true); }));
Assert.AreEqual(0, filterDoubleInvocationsCount);
Assert.AreEqual(0, filterObjectInvocationsCount);
persistentAggregator.TrackValue(1);
persistentAggregator.TrackValue("2");
persistentAggregator.TrackValue("1");
aggregate = persistentAggregator.CompleteAggregation(endTS);
ValidateNumericAggregateValues(aggregate, name: "Unique Cows Sold", count: 3, sum: 2, max: 0, min: 0, stdDev: 0, timestamp: startTS, periodMs: periodMillis);
Assert.AreEqual(1, filterDoubleInvocationsCount);
Assert.AreEqual(2, filterObjectInvocationsCount);
persistentAggregator.TrackValue("3");
persistentAggregator.TrackValue(4);
aggregate = persistentAggregator.CompleteAggregation(endTS);
ValidateNumericAggregateValues(aggregate, name: "Unique Cows Sold", count: 5, sum: 4, max: 0, min: 0, stdDev: 0, timestamp: startTS, periodMs: periodMillis);
Assert.AreEqual(2, filterDoubleInvocationsCount);
Assert.AreEqual(3, filterObjectInvocationsCount);
}
