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mirror of https://github.com/esiur/esiur-dotnet.git synced 2026-06-13 14:38:43 +00:00
This commit is contained in:
2026-06-10 17:47:21 +03:00
parent 2f39aabf7e
commit f16d40d1c5
12 changed files with 310 additions and 160 deletions
@@ -3,7 +3,7 @@
// ------------------------------------------------------------
// Extends Tests/Distribution/ConcurrentAttach with:
// - Sweep over a wider range of concurrent request counts A.
// - More rounds per A for confidence-interval reporting.
// - More rounds per A for sample-standard-deviation reporting.
// - Auto-stop when timeouts or failures appear (the
// saturation signal for concurrent attach is different
// from fan-out: it's *correctness* failure, not slowdown).
@@ -35,10 +35,10 @@ var timeoutMs = int.Parse(GetArg(args, "--timeout", "10000"));
var rounds = int.Parse(GetArg(args, "--rounds", "10"));
var aValStr = GetArg(args, "--a-values", "10,25,50,100,250,500,1000,2000");
var outCsv = GetArg(args, "--output", "concurrent_attach_sweep.csv");
var roundsCsv = GetArg(args, "--round-output", Path.ChangeExtension(outCsv, ".rounds.csv"));
var aValues = aValStr.Split(',').Select(int.Parse).ToArray();
var serverWh = new Warehouse();
var clientWh = new Warehouse();
// ----------------------------------------------------------------
// SERVER SIDE
@@ -72,8 +72,11 @@ if (mode == "server" || mode == "both")
// ----------------------------------------------------------------
Console.WriteLine($"[Client-T3+] resources={resources} timeout={timeoutMs}ms rounds={rounds}");
Console.WriteLine($"[Client-T3+] A values: {string.Join(",", aValues)}");
Console.WriteLine($"[Client-T3+] output={outCsv}");
Console.WriteLine($"[Client-T3+] round-output={roundsCsv}");
var summary = new List<ASummary>();
var allRoundResults = new List<RoundResult>();
bool failureDetected = false;
foreach (int A in aValues)
@@ -98,7 +101,9 @@ foreach (int A in aValues)
var latencies = new double[A];
var roundSw = Stopwatch.StartNew();
// One shared connection per round, matching the existing test methodology
// A fresh client warehouse per round keeps the ten samples independent:
// previous attaches cannot turn later rounds into local cache hits.
var clientWh = new Warehouse();
var connection = await clientWh.Get<EpConnection>($"ep://{host}:{port}");
var tasks = targets.Select((resourceIdx, taskIdx) => Task.Run(async () =>
@@ -141,29 +146,32 @@ foreach (int A in aValues)
Failed = failed,
TimedOut = timedOut,
WallMs = roundSw.Elapsed.TotalMilliseconds,
P50 = sorted[Math.Min(n - 1, (int)(n * 0.50))],
P95 = sorted[Math.Min(n - 1, (int)(n * 0.95))],
P99 = sorted[Math.Min(n - 1, (int)(n * 0.99))],
P50 = Quantile(sorted, 0.50),
P90 = Quantile(sorted, 0.90),
P95 = Quantile(sorted, 0.95),
P99 = Quantile(sorted, 0.99),
Max = sorted[n - 1],
Mean = sorted.Average(),
};
roundResults.Add(rr);
allRoundResults.Add(rr);
Console.WriteLine($" round {round + 1}/{rounds}: ok={succeeded}/{A} fail={failed} "
+ $"timeout={timedOut} wall={rr.WallMs:F0}ms p50={rr.P50:F0} p99={rr.P99:F0}");
// Round 1 of each A is conventionally excluded from latency
// aggregation due to connection-establishment overhead (matches
// the existing test methodology).
+ $"timeout={timedOut} wall={rr.WallMs:F0}ms p50={rr.P50:F0} p90={rr.P90:F0} p99={rr.P99:F0}");
await clientWh.Close();
GC.Collect();
await Task.Delay(500);
}
var steady = roundResults.Skip(1).ToList(); // exclude round 1
if (steady.Count == 0) steady = roundResults;
var anyFailure = roundResults.Any(r => r.Failed > 0 || r.TimedOut > 0);
var p50 = MeanStdDev(roundResults.Select(r => r.P50));
var p90 = MeanStdDev(roundResults.Select(r => r.P90));
var p99 = MeanStdDev(roundResults.Select(r => r.P99));
var mean = MeanStdDev(roundResults.Select(r => r.Mean));
var wall = MeanStdDev(roundResults.Select(r => r.WallMs));
var s = new ASummary
{
A = A,
@@ -172,19 +180,25 @@ foreach (int A in aValues)
TotalSucceeded = roundResults.Sum(r => r.Succeeded),
TotalFailed = roundResults.Sum(r => r.Failed),
TotalTimedOut = roundResults.Sum(r => r.TimedOut),
MeanP50 = steady.Average(r => r.P50),
Ci95P50 = ConfidenceIntervalHalfWidth95(steady.Select(r => r.P50).ToArray()),
MeanP99 = steady.Average(r => r.P99),
Ci95P99 = ConfidenceIntervalHalfWidth95(steady.Select(r => r.P99).ToArray()),
MeanWall = steady.Average(r => r.WallMs),
Ci95Wall = ConfidenceIntervalHalfWidth95(steady.Select(r => r.WallMs).ToArray()),
MeanP50 = p50.Mean,
SdP50 = p50.SampleStdDev,
MeanP90 = p90.Mean,
SdP90 = p90.SampleStdDev,
MeanP99 = p99.Mean,
SdP99 = p99.SampleStdDev,
MeanLatency = mean.Mean,
SdLatency = mean.SampleStdDev,
MeanWall = wall.Mean,
SdWall = wall.SampleStdDev,
};
summary.Add(s);
Console.WriteLine($" [A={A}] SUMMARY: "
+ $"p50={s.MeanP50:F1}±{s.Ci95P50:F1} "
+ $"p99={s.MeanP99:F1}±{s.Ci95P99:F1} "
+ $"wall={s.MeanWall:F0}±{s.Ci95Wall:F0}ms "
+ $"p50={s.MeanP50:F1}±{s.SdP50:F1} "
+ $"p90={s.MeanP90:F1}±{s.SdP90:F1} "
+ $"p99={s.MeanP99:F1}±{s.SdP99:F1} "
+ $"mean={s.MeanLatency:F1}±{s.SdLatency:F1} "
+ $"wall={s.MeanWall:F0}±{s.SdWall:F0}ms "
+ $"failures={s.TotalFailed + s.TotalTimedOut}/{s.TotalSucceeded + s.TotalFailed + s.TotalTimedOut}");
if (anyFailure)
@@ -199,46 +213,56 @@ foreach (int A in aValues)
// ----------------------------------------------------------------
var sb = new System.Text.StringBuilder();
sb.AppendLine("a,rounds,any_failures,total_succeeded,total_failed,total_timed_out," +
"mean_p50_ms,ci95_p50,mean_p99_ms,ci95_p99,mean_wall_ms,ci95_wall");
"mean_p50_ms,sd_p50_ms,mean_p90_ms,sd_p90_ms,mean_p99_ms,sd_p99_ms," +
"mean_latency_ms,sd_latency_ms,mean_wall_ms,sd_wall_ms");
foreach (var r in summary)
{
sb.AppendLine(string.Create(CultureInfo.InvariantCulture,
$"{r.A},{r.Rounds},{r.AnyFailures},{r.TotalSucceeded},{r.TotalFailed},{r.TotalTimedOut}," +
$"{r.MeanP50:F2},{r.Ci95P50:F2},{r.MeanP99:F2},{r.Ci95P99:F2}," +
$"{r.MeanWall:F2},{r.Ci95Wall:F2}"));
$"{r.MeanP50:F2},{r.SdP50:F2},{r.MeanP90:F2},{r.SdP90:F2}," +
$"{r.MeanP99:F2},{r.SdP99:F2},{r.MeanLatency:F2},{r.SdLatency:F2}," +
$"{r.MeanWall:F2},{r.SdWall:F2}"));
}
await File.WriteAllTextAsync(outCsv, sb.ToString());
Console.WriteLine($"\n[Client-T3+] Results written to {outCsv}");
var rsb = new System.Text.StringBuilder();
rsb.AppendLine("a,round,succeeded,failed,timed_out,wall_ms,p50_ms,p90_ms,p95_ms,p99_ms,max_ms,mean_ms");
foreach (var r in allRoundResults)
{
rsb.AppendLine(string.Create(CultureInfo.InvariantCulture,
$"{r.A},{r.Round},{r.Succeeded},{r.Failed},{r.TimedOut}," +
$"{r.WallMs:F2},{r.P50:F2},{r.P90:F2},{r.P95:F2},{r.P99:F2},{r.Max:F2},{r.Mean:F2}"));
}
await File.WriteAllTextAsync(roundsCsv, rsb.ToString());
Console.WriteLine($"[Client-T3+] Round results written to {roundsCsv}");
if (mode == "server" || mode == "both") await serverWh.Close();
if (mode == "client" || mode == "both") await clientWh.Close();
// ----------------------------------------------------------------
// Helpers
// ----------------------------------------------------------------
static double ConfidenceIntervalHalfWidth95(double[] xs)
static double Quantile(double[] sorted, double p)
{
int n = xs.Length;
if (n < 2) return 0;
double mean = xs.Average();
double sumSq = xs.Sum(x => (x - mean) * (x - mean));
double std = Math.Sqrt(sumSq / (n - 1));
double sem = std / Math.Sqrt(n);
double t = (n - 1) switch
return sorted[Math.Min(sorted.Length - 1, (int)(sorted.Length * p))];
}
static (double Mean, double SampleStdDev) MeanStdDev(IEnumerable<double> values)
{
var xs = values.ToArray();
var mean = xs.Average();
if (xs.Length < 2)
return (mean, 0);
var sumSq = xs.Sum(x =>
{
1 => 12.706,
2 => 4.303,
3 => 3.182,
4 => 2.776,
5 => 2.571,
6 => 2.447,
7 => 2.365,
8 => 2.306,
9 => 2.262,
_ => 1.960
};
return t * sem;
var d = x - mean;
return d * d;
});
return (mean, Math.Sqrt(sumSq / (xs.Length - 1)));
}
static string GetArg(string[] args, string key, string def)
@@ -256,9 +280,11 @@ record RoundResult
public long TimedOut;
public double WallMs;
public double P50;
public double P90;
public double P95;
public double P99;
public double Max;
public double Mean;
}
record ASummary
@@ -270,9 +296,13 @@ record ASummary
public long TotalFailed;
public long TotalTimedOut;
public double MeanP50;
public double Ci95P50;
public double SdP50;
public double MeanP90;
public double SdP90;
public double MeanP99;
public double Ci95P99;
public double SdP99;
public double MeanLatency;
public double SdLatency;
public double MeanWall;
public double Ci95Wall;
}
public double SdWall;
}