public static void Run()
{
HistogramAggregator aggregator = new HistogramAggregator()
.Add(new TimeDimension(TimeSpan.FromSeconds(10)))
.Add(new FuncMetric <int>("Working Threads", 0, (i, r) => Math.Max(r.CreatedThreads - r.IdleThreads, i)))
.Add(new CountMetric(Checkpoint.NotMeassuredCheckpoints))
.Add(new TransactionsPerSecMetric());
KpiPrinterAggregator kpi = new KpiPrinterAggregator(
TimeSpan.FromSeconds(4),
new FuncMetric <string>("T+", "???", (s, result) => result.IterationFinished.ToString("g")),
new FuncMetric <int>("Created Threads", 0, (i, r) => Math.Max(r.CreatedThreads, i)),
new FuncMetric <int>("Working Threads", 0, (i, r) => Math.Max(r.CreatedThreads - r.IdleThreads, i)),
new CountMetric(Checkpoint.NotMeassuredCheckpoints),
new CountMetric(i => i / 2.0, Checkpoint.NotMeassuredCheckpoints)
{
Prefix = "TPS "
}
);
StrategyBuilder strategy = new StrategyBuilder()
.SetScenario <LimitConcurrencyAndTpsDemo>()
.AddSpeed(new LimitWorkingThreads(11))
.AddSpeed(new IncrementalSpeed(1, TimeSpan.FromSeconds(20), 10))
.SetThreading(new IncrementalThreadCount(250, TimeSpan.FromSeconds(10), -50))
.SetLimit(new TimeLimit(TimeSpan.FromSeconds(52)))
.SetAggregator(aggregator, kpi);
strategy.Build().Run();
Console.WriteLine(JsonConvert.SerializeObject(aggregator.BuildResultsObjects(), Formatting.Indented));
}
public static void Run()
{
// [2] Results aggregation (Or raw measurement collection, see RawDataMeasurementsDemo.cs)
// Define how data gets aggregated.
// Dimensions are like GROUP BY keys in SQL
// Metrics are aggregation functions like COUNT, SUM, etc..
// Extensive HistogramAggregator demo now WiP
HistogramAggregator aggregator = new HistogramAggregator()
.Add(new TimeDimension(TimeSpan.FromSeconds(5)))
.Add(new CountMetric())
.Add(new ErrorCountMetric())
.Add(new TransactionsPerSecMetric())
.Add(new PercentileMetric(0.95, 0.99));
// Secondary aggregation just to monitor key metrics.
KpiPrinterAggregator kpiPrinter = new KpiPrinterAggregator(
TimeSpan.FromSeconds(5),
new CountMetric(Checkpoint.NotMeassuredCheckpoints),
new ErrorCountMetric(false),
new TransactionsPerSecMetric()
);
// [3] Execution settings
// Using StrategyBuilder put defined aggregation, scenario, and execution settings into one object
StrategyBuilder strategy = new StrategyBuilder()
.SetAggregator(aggregator, kpiPrinter) // Optional
.SetScenario <BlankScenario>() // Required
.SetLimit(new TimeLimit(TimeSpan.FromSeconds(20))) // Optional, but if not provided, execution will never stop - unless running test with RunAsync() and stopping later with CancelAsync(true)
.SetSpeed(new FixedSpeed(100000)) // Optional (Skip for maximum throughput)
.SetThreading(new FixedThreadCount(4)); // Required
// [4] Execution
// All that's left is Build(), run and wait for completion and print out measured results.
LoadRunnerEngine engine = strategy.Build();
engine.Run();
IEnumerable <object> result = aggregator.BuildResultsObjects();
Console.WriteLine(JsonConvert.SerializeObject(result, Formatting.Indented));
}
