public static void TryRecycle_PersistentAggregator(IMetricSeriesAggregator accumulatorAggregator)
        {
            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 periodStringDef   = (long)(endTS - default(DateTimeOffset)).TotalMilliseconds;
            long periodStringStart = (long)(endTS - startTS).TotalMilliseconds;

            {
                accumulatorAggregator.TrackValue(10);

                MetricAggregate aggregate = accumulatorAggregator.CreateAggregateUnsafe(endTS);
                TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 0, sum: 10.0, max: 10.0, min: 10.0, stdDev: 0, timestamp: default(DateTimeOffset), periodMs: periodStringDef, aggKindMoniker: "Microsoft.Azure.Accumulator");

                accumulatorAggregator.Reset(startTS, valueFilter: null);

                accumulatorAggregator.TrackValue(0);
                accumulatorAggregator.TrackValue(10);
                accumulatorAggregator.TrackValue(20);

                aggregate = accumulatorAggregator.CreateAggregateUnsafe(endTS);
                TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 0, sum: 30.0, max: 30.0, min: 0.0, stdDev: 0, timestamp: startTS, periodMs: periodStringStart, aggKindMoniker: "Microsoft.Azure.Accumulator");

                bool canRecycle = accumulatorAggregator.TryRecycle();

                Assert.IsFalse(canRecycle);

                aggregate = accumulatorAggregator.CreateAggregateUnsafe(endTS);
                TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 2, sum: 30.0, max: 30.0, min: 0.0, stdDev: 5.0, timestamp: startTS, periodMs: periodStringStart, aggKindMoniker: "Microsoft.Azure.Accumulator");
            }
        }
        public static void CompleteAggregation_NonpersistentAggregator(IMetricSeriesAggregator measurementAggregator)
        {
            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 periodString = (long)(endTS - startTS).TotalMilliseconds;

            int filterInvocationsCount = 0;

            measurementAggregator.Reset(startTS, valueFilter: new CustomDoubleValueFilter((s, v) => { filterInvocationsCount++; return(true); }));

            Assert.AreEqual(0, filterInvocationsCount);

            measurementAggregator.TrackValue(1);
            measurementAggregator.TrackValue("2");

            MetricAggregate aggregate = measurementAggregator.CompleteAggregation(endTS);

            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 2, sum: 3, max: 2, min: 1, stdDev: 0.5, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.SimpleStatistics");
            Assert.AreEqual(2, filterInvocationsCount);

            measurementAggregator.TrackValue("3");
            measurementAggregator.TrackValue(4);

            aggregate = measurementAggregator.CompleteAggregation(endTS);
            //// In earlier versions we used to reject further values after Complete Aggregation was called. However, that complication is not really necesary.

            //TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 2, sum: 3, max: 2, min: 1, stdDev: 0.5, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.SimpleStatistics");
            //Assert.AreEqual(2, filterInvocationsCount);

            //aggregate = measurementAggregator.CreateAggregateUnsafe(endTS);
            //TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 2, sum: 3, max: 2, min: 1, stdDev: 0.5, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.SimpleStatistics");

            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 4, sum: 10, max: 4, min: 1, stdDev: 1.11803398874989, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.SimpleStatistics");
            Assert.AreEqual(4, filterInvocationsCount);

            aggregate = measurementAggregator.CreateAggregateUnsafe(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 4, sum: 10, max: 4, min: 1, stdDev: 1.11803398874989, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.SimpleStatistics");
        }
        public static void CreateAggregateUnsafe(
            IMetricSeriesAggregator aggregator,
            MetricSeries metric,
            IEnumerable <KeyValuePair <string, string> > expectedDimensionNamesValues)
        {
            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(42);
            aggregator.TrackValue(43);

            MetricAggregate aggregate = aggregator.CreateAggregateUnsafe(endTS);

            Assert.IsNotNull(aggregate);

            Assert.AreEqual("Cows Sold", aggregate.MetricId, "aggregate.MetricId mismatch");
            Assert.AreEqual(2, aggregate.AggregateData["Count"], "aggregate.AggregateData[Count] mismatch");
            Assert.AreEqual(85, (double)aggregate.AggregateData["Sum"], TestUtil.Util.MaxAllowedPrecisionError, "aggregate.AggregateData[Sum] mismatch");
            Assert.AreEqual(43, (double)aggregate.AggregateData["Max"], TestUtil.Util.MaxAllowedPrecisionError, "aggregate.AggregateData[Max] mismatch");
            Assert.AreEqual(42, (double)aggregate.AggregateData["Min"], TestUtil.Util.MaxAllowedPrecisionError, "aggregate.AggregateData[Min] mismatch");
            Assert.AreEqual(0.5, (double)aggregate.AggregateData["StdDev"], TestUtil.Util.MaxAllowedPrecisionError, "aggregate.AggregateData[StdDev] mismatch");

            Assert.AreEqual(startTS, aggregate.AggregationPeriodStart, "aggregate.AggregationPeriodStart mismatch");
            Assert.AreEqual(
                (endTS - startTS).TotalMilliseconds,
                aggregate.AggregationPeriodDuration.TotalMilliseconds,
                "aggregate.AggregationPeriodDuration mismatch");

            Assert.AreEqual(expectedDimensionNamesValues.Count(), aggregate.Dimensions.Count);

            foreach (KeyValuePair <string, string> dimNameValue in expectedDimensionNamesValues)
            {
                Assert.IsTrue(aggregate.Dimensions.ContainsKey(dimNameValue.Key), $"missing aggregate.Dimensions[{dimNameValue.Key}]");
                Assert.AreEqual(dimNameValue.Value, aggregate.Dimensions[dimNameValue.Key], $"wrong aggregate.Dimensions[{dimNameValue.Key}]");
            }
        }
示例#4
0
 private static void TrackValue(IMetricSeriesAggregator aggregator, object metricValue, ref List <Exception> errors)
 {
     if (aggregator != null)
     {
         try
         {
             aggregator.TrackValue(metricValue);
         }
         catch (Exception ex)
         {
             (errors = errors ?? new List <Exception>()).Add(ex);
         }
     }
 }
        private static async Task TrackValueConcurrentWorker(IMetricSeriesAggregator aggregator)
        {
            await Task.Delay(3);

            int currentWorkersAtStart = Interlocked.Increment(ref s_trackValueConcurrentWorker_Current);

            try
            {
                int maxWorkers = Volatile.Read(ref s_trackValueConcurrentWorker_Max);
                while (currentWorkersAtStart > maxWorkers)
                {
                    int prevMaxWorkers = Interlocked.CompareExchange(ref s_trackValueConcurrentWorker_Max, currentWorkersAtStart, maxWorkers);

                    if (prevMaxWorkers == maxWorkers)
                    {
                        break;
                    }
                    else
                    {
                        maxWorkers = Volatile.Read(ref s_trackValueConcurrentWorker_Max);
                    }
                }

                for (int i = 0; i < 500; i++)
                {
                    for (int v = 0; v <= 300000; v += 3000)
                    {
                        aggregator.TrackValue(v);
                        //Thread.Yield();
                        await Task.Delay(0);
                    }

                    await Task.Delay(1);
                }
            }
            finally
            {
                Interlocked.Decrement(ref s_trackValueConcurrentWorker_Current);
            }
        }
        public static void CompleteAggregation_PersistentAggregator(IMetricSeriesAggregator accumulatorAggregator)
        {
            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 periodString = (long)(endTS - startTS).TotalMilliseconds;

            int filterInvocationsCount = 0;

            accumulatorAggregator.Reset(startTS, valueFilter: new CustomDoubleValueFilter((s, v) => { filterInvocationsCount++; return(true); }));

            Assert.AreEqual(0, filterInvocationsCount);

            accumulatorAggregator.TrackValue(1);
            accumulatorAggregator.TrackValue("2");

            MetricAggregate aggregate = accumulatorAggregator.CompleteAggregation(endTS);

            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 0, sum: 3, max: 3, min: 1, stdDev: 0, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.Accumulator");
            Assert.AreEqual(2, filterInvocationsCount);

            accumulatorAggregator.TrackValue("3");
            accumulatorAggregator.TrackValue(4);

            aggregate = accumulatorAggregator.CompleteAggregation(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 0, sum: 10, max: 10, min: 1, stdDev: 0, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.Accumulator");
            Assert.AreEqual(4, filterInvocationsCount);

            aggregate = accumulatorAggregator.CreateAggregateUnsafe(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 0, sum: 10, max: 10, min: 1, stdDev: 0, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.Accumulator");

            accumulatorAggregator.TrackValue(-18);
            accumulatorAggregator.TrackValue(2);

            aggregate = accumulatorAggregator.CompleteAggregation(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "Cows Sold", count: 0, sum: -6, max: 10, min: -8, stdDev: 0, timestamp: startTS, periodMs: periodString, aggKindMoniker: "Microsoft.Azure.Accumulator");
            Assert.AreEqual(6, filterInvocationsCount);
        }
        public static void Reset_PersistentAggregator(IMetricSeriesAggregator aggregator, string aggregateKindMoniker)
        {
            Assert.AreEqual(MetricAggregateKinds.Accumulator.Moniker, aggregateKindMoniker);

            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 periodStringDef   = (long)(endTS - default(DateTimeOffset)).TotalMilliseconds;
            long periodStringStart = (long)(endTS - startTS).TotalMilliseconds;

            int filterInvocationsCount = 0;

            MetricAggregate aggregate = aggregator.CreateAggregateUnsafe(endTS);

            Assert.IsNull(aggregate);

            aggregator.Reset(startTS, valueFilter: null);

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            Assert.IsNull(aggregate);

            aggregator.TrackValue(10);
            aggregator.TrackValue(20);

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 0, sum: 30.0, max: 30, min: 10.0, stdDev: 5.0, timestamp: startTS, periodMs: periodStringStart, aggKindMoniker: aggregateKindMoniker);
            Assert.AreEqual(0, filterInvocationsCount);

            aggregator.Reset(default(DateTimeOffset), valueFilter: new CustomDoubleValueFilter((s, v) => { filterInvocationsCount++; return(true); }));

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            Assert.IsNull(aggregate);

            aggregator.TrackValue(100);
            aggregator.TrackValue(200);

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 0, sum: 300, max: 300, min: 100, stdDev: 0, timestamp: default(DateTimeOffset), periodMs: periodStringDef, aggKindMoniker: aggregateKindMoniker);
            Assert.AreEqual(2, filterInvocationsCount);

            aggregator.Reset(startTS, valueFilter: new CustomDoubleValueFilter((s, v) => { filterInvocationsCount++; return(false); }));

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            Assert.IsNull(aggregate);

            aggregator.TrackValue(100);
            aggregator.TrackValue(200);

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            Assert.IsNull(aggregate);
            Assert.AreEqual(4, filterInvocationsCount);

            aggregator.Reset(startTS, valueFilter: new CustomDoubleValueFilter((s, v) => { filterInvocationsCount++; return(true); }));

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            Assert.IsNull(aggregate);

            aggregator.TrackValue(100);
            aggregator.TrackValue(-200);

            aggregate = aggregator.CreateAggregateUnsafe(endTS);
            TestUtil.Util.ValidateNumericAggregateValues(aggregate, name: "null", count: 0, sum: -100, max: 100, min: -100, stdDev: 0, timestamp: startTS, periodMs: periodStringStart, aggKindMoniker: aggregateKindMoniker);
            Assert.AreEqual(6, filterInvocationsCount);
        }