public AbReport(ExecuteResult[] results, ExecuteScenario executeScenario, string scalingType)
{
ScalingType = scalingType;
ScenarioName = executeScenario.ScenarioName;
RequestCount = executeScenario.ProcessCount * executeScenario.WorkerPerProcess * executeScenario.ExecutePerWorker;
Concurrency = executeScenario.WorkerPerProcess;
TotalRequests = results.Length;
CompleteRequests = results.Where(x => !x.HasError).Count();
FailedRequests = results.Where(x => x.HasError).Count();
// Time to complete all requests.
// * Get sum of IWorkerReciever.Execute time on each workerId, max execution time will be actual execution time.
TimeTaken = results.GroupBy(x => x.WorkerId).Select(xs => xs.Sum(x => x.Elapsed.TotalSeconds)).Max();
// The average time spent per request. The first value is calculated with the formula `concurrency * timetaken * 1000 / done` while the second value is calculated with the formula `timetaken * 1000 / done`
TimePerRequest = TimeTaken * 1000 / RequestCount;
// percentile requires sort before calculate
var sortedResultsElapsedMs = results.Select(x => x.Elapsed.TotalMilliseconds).OrderBy(x => x).ToArray();
var percecs = new[] { 0.5, 0.66, 0.75, 0.80, 0.90, 0.95, 0.98, 0.99, 1.00 };
Percentiles = percecs.Select((x, i) =>
{
var percent = (int)(x * 100);
var value = (int)MatchUtils.Percentile(sortedResultsElapsedMs, x);
return(i != percecs.Length - 1
? new PercentileData(percent, value, null)
: new PercentileData(percent, value, "(longest request)"));
})
.ToArray();
}
