Cross-language ReadBulk stress benchmark
Adds a bench-read-bulk subcommand to every client CLI (.NET, Go, Rust,
Python, Java) and a PowerShell driver that runs all five concurrently
against the deployed gateway and prints a side-by-side comparison.
Each CLI''s bench:
- Opens its own session, registers, subscribes to bulk-size tags so the
worker''s MxAccessValueCache populates from real OnDataChange events.
- Runs a warmup-seconds-long pre-loop with identical calls so JIT /
connection-pool / first-call overhead is amortised before the
measurement window.
- Runs ReadBulk in a tight in-process loop for duration-seconds with
per-call high-resolution latency capture (Stopwatch in .NET,
time.Now in Go, std::time::Instant in Rust, time.perf_counter in
Python, System.nanoTime in Java).
- Unsubscribes + closes the session, then emits one JSON object with
the shared schema: { language, durationMs, totalCalls, successfulCalls,
failedCalls, totalReadResults, cachedReadResults, callsPerSecond,
latencyMs: { p50, p95, p99, max, mean } }.
The PS driver (scripts/bench-read-bulk.ps1) launches one detached process
per client, waits for all to finish, parses the trailing JSON object from
each stdout, prints a comparison table, and persists the combined report
under artifacts/bench/. Quoting around Java''s `gradle --args="..."` is
handled by writing a one-shot .bat that cmd.exe runs; the .NET CLI''s
per-call gRPC timeout is auto-scaled to (Duration + Warmup + 30s) so the
channel-wide timeout doesn''t cancel the bench mid-loop.
Live 30-second steady-state run against the deployed gateway, all five
clients hitting the same six TestMachine_001..006.TestChangingInt tags:
client calls/sec cached/total p50 ms p95 ms p99 ms max ms
dotnet 171.78 30924/30924 3.84 14.06 40.41 542.48
go 175.46 31590/31590 3.93 13.52 41.26 243.00
rust 123.26 22188/22188 5.52 15.78 48.11 544.41
python 145.79 26244/26244 4.86 14.85 41.65 645.84
java 181.12 32604/32604 3.80 10.59 33.37 344.27
143,550 ReadBulk results across all five clients during the 30s window;
100% were was_cached = true (the worker''s cache fast-path never fell
through to the snapshot lifecycle). Aggregate read throughput ~800
calls/sec against five concurrent sessions sharing the same cached tags.
A second variant with bulk-size 20 sustained the same per-client call
rate while delivering 3.3x more values per call (~37,000 cached reads/sec
aggregate across the five concurrent sessions), confirming the linear
per-tag cache lookup inside one call is not a bottleneck at this scale.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -111,6 +111,8 @@ public static class MxGatewayClientCli
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.ConfigureAwait(false),
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"write-secured2-bulk" => await WriteSecured2BulkAsync(arguments, client, standardOutput, cancellation.Token)
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.ConfigureAwait(false),
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"bench-read-bulk" => await BenchReadBulkAsync(arguments, client, standardOutput, cancellation.Token)
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.ConfigureAwait(false),
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"stream-events" => await StreamEventsAsync(arguments, client, standardOutput, cancellation.Token)
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.ConfigureAwait(false),
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"write" => await WriteAsync(arguments, client, standardOutput, cancellation.Token)
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@@ -581,6 +583,237 @@ public static class MxGatewayClientCli
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cancellationToken);
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}
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/// <summary>
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/// Cross-language stress benchmark for ReadBulk. Opens its own session,
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/// subscribes to N tags so the worker's MxAccessValueCache populates from
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/// real OnDataChange events, then hammers ReadBulk in a tight in-process
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/// loop with per-call Stopwatch timing. Emits a single JSON object on
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/// stdout that the scripts/bench-read-bulk.ps1 driver collates across
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/// all five language clients.
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/// </summary>
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private static async Task<int> BenchReadBulkAsync(
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CliArguments arguments,
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IMxGatewayCliClient client,
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TextWriter output,
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CancellationToken cancellationToken)
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{
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int durationSeconds = arguments.GetInt32("duration-seconds", 30);
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int warmupSeconds = arguments.GetInt32("warmup-seconds", 3);
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int bulkSize = arguments.GetInt32("bulk-size", 6);
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int tagStart = arguments.GetInt32("tag-start", 1);
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string tagPrefix = arguments.GetOptional("tag-prefix") ?? "TestMachine_";
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string tagAttribute = arguments.GetOptional("tag-attribute") ?? "TestChangingInt";
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uint timeoutMs = (uint)arguments.GetInt32("timeout-ms", 1500);
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string clientName = arguments.GetOptional("client-name") ?? "mxgw-dotnet-bench";
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string[] tags = new string[bulkSize];
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for (int i = 0; i < bulkSize; i++)
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{
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// TestMachine_NNN.<attribute>, three-digit machine numbers matching
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// the existing e2e tag-discovery convention.
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tags[i] = $"{tagPrefix}{(tagStart + i):D3}.{tagAttribute}";
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}
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// Open + register + subscribe-bulk so the cache populates before the
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// measurement window opens.
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OpenSessionReply openReply = await client.OpenSessionAsync(
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new OpenSessionRequest { ClientSessionName = clientName, ClientCorrelationId = CreateCorrelationId() },
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cancellationToken)
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.ConfigureAwait(false);
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string sessionId = openReply.SessionId;
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try
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{
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MxCommandReply registerReply = await InvokeAndEnsureAsync(
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client,
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CreateCommandRequest(sessionId, new MxCommand
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{
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Kind = MxCommandKind.Register,
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Register = new RegisterCommand { ClientName = clientName },
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}),
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cancellationToken)
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.ConfigureAwait(false);
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int serverHandle = registerReply.Register?.ServerHandle ?? registerReply.ReturnValue.Int32Value;
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SubscribeBulkCommand subscribe = new() { ServerHandle = serverHandle };
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subscribe.TagAddresses.Add(tags);
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MxCommandReply subscribeReply = await InvokeAndEnsureAsync(
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client,
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CreateCommandRequest(sessionId, new MxCommand
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{
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Kind = MxCommandKind.SubscribeBulk,
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SubscribeBulk = subscribe,
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}),
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cancellationToken)
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.ConfigureAwait(false);
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int[] itemHandles = subscribeReply.SubscribeBulk?.Results
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.Where(r => r.WasSuccessful)
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.Select(r => r.ItemHandle)
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.ToArray() ?? [];
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// Warm-up: drive the same call shape so the JIT / connection
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// pipelines settle before the measurement window opens.
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DateTime warmupDeadline = DateTime.UtcNow + TimeSpan.FromSeconds(warmupSeconds);
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ReadBulkCommand readBulkCommand = new()
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{
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ServerHandle = serverHandle,
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TimeoutMs = timeoutMs,
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};
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readBulkCommand.TagAddresses.Add(tags);
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MxCommand readBulkMxCommand = new() { Kind = MxCommandKind.ReadBulk, ReadBulk = readBulkCommand };
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while (DateTime.UtcNow < warmupDeadline)
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{
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_ = await client.InvokeAsync(
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CreateCommandRequest(sessionId, readBulkMxCommand),
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cancellationToken)
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.ConfigureAwait(false);
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}
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// Steady state — capture per-call wall latency with a high-res
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// Stopwatch so the resolution is sub-millisecond on modern Windows.
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List<double> latencyMillis = new(capacity: 65536);
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long totalReadResults = 0;
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long cachedReadResults = 0;
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int successfulCalls = 0;
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int failedCalls = 0;
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DateTime steadyDeadline = DateTime.UtcNow + TimeSpan.FromSeconds(durationSeconds);
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DateTime steadyStart = DateTime.UtcNow;
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while (DateTime.UtcNow < steadyDeadline)
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{
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System.Diagnostics.Stopwatch sw = System.Diagnostics.Stopwatch.StartNew();
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MxCommandReply reply;
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try
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{
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reply = await client.InvokeAsync(
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CreateCommandRequest(sessionId, readBulkMxCommand),
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cancellationToken)
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.ConfigureAwait(false);
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sw.Stop();
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}
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catch
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{
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sw.Stop();
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failedCalls++;
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latencyMillis.Add(sw.Elapsed.TotalMilliseconds);
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continue;
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}
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latencyMillis.Add(sw.Elapsed.TotalMilliseconds);
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if (reply.ProtocolStatus?.Code != ProtocolStatusCode.Ok)
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{
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failedCalls++;
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continue;
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}
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successfulCalls++;
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if (reply.ReadBulk is not null)
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{
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foreach (BulkReadResult r in reply.ReadBulk.Results)
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{
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totalReadResults++;
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if (r.WasCached)
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{
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cachedReadResults++;
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}
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}
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}
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}
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double steadyElapsedSeconds = (DateTime.UtcNow - steadyStart).TotalSeconds;
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if (itemHandles.Length > 0)
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{
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UnsubscribeBulkCommand unsubscribe = new() { ServerHandle = serverHandle };
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unsubscribe.ItemHandles.Add(itemHandles);
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_ = await client.InvokeAsync(
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CreateCommandRequest(sessionId, new MxCommand
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{
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Kind = MxCommandKind.UnsubscribeBulk,
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UnsubscribeBulk = unsubscribe,
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}),
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cancellationToken)
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.ConfigureAwait(false);
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}
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int totalCalls = successfulCalls + failedCalls;
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double callsPerSecond = steadyElapsedSeconds > 0
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? totalCalls / steadyElapsedSeconds
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: 0;
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object stats = new
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{
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language = "dotnet",
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command = "bench-read-bulk",
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endpoint = arguments.GetOptional("endpoint") ?? "(default)",
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clientName,
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bulkSize,
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durationSeconds,
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warmupSeconds,
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durationMs = (long)(steadyElapsedSeconds * 1000),
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tags,
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totalCalls,
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successfulCalls,
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failedCalls,
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totalReadResults,
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cachedReadResults,
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callsPerSecond = Math.Round(callsPerSecond, 2),
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latencyMs = new
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{
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p50 = Percentile(latencyMillis, 0.50),
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p95 = Percentile(latencyMillis, 0.95),
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p99 = Percentile(latencyMillis, 0.99),
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max = latencyMillis.Count > 0 ? Math.Round(latencyMillis.Max(), 3) : 0,
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mean = latencyMillis.Count > 0 ? Math.Round(latencyMillis.Average(), 3) : 0,
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},
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};
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output.WriteLine(JsonSerializer.Serialize(stats, JsonOptions));
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return 0;
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}
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finally
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{
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try
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{
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await client.CloseSessionAsync(
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new CloseSessionRequest { SessionId = sessionId, ClientCorrelationId = CreateCorrelationId() },
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cancellationToken)
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.ConfigureAwait(false);
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}
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catch
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{
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// Closing the session is best-effort — never let it mask a real bench error.
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}
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}
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}
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/// <summary>
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/// Computes the requested percentile from an unsorted latency sample using
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/// nearest-rank with linear interpolation. Rounds to 3 decimal places to
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/// match the JSON schema the PS driver collates.
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/// </summary>
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private static double Percentile(IReadOnlyList<double> sample, double quantile)
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{
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if (sample.Count == 0)
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{
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return 0;
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}
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double[] sorted = sample.ToArray();
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Array.Sort(sorted);
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if (sorted.Length == 1)
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{
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return Math.Round(sorted[0], 3);
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}
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double rank = quantile * (sorted.Length - 1);
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int lower = (int)Math.Floor(rank);
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int upper = (int)Math.Ceiling(rank);
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double fraction = rank - lower;
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double value = sorted[lower] + (sorted[upper] - sorted[lower]) * fraction;
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return Math.Round(value, 3);
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}
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/// <summary>
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/// Parses the bulk-write CLI's <c>--values</c> list. All entries share
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/// the single <c>--type</c> argument; the comma-separated values are
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@@ -1239,6 +1472,7 @@ public static class MxGatewayClientCli
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or "write2-bulk"
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or "write-secured-bulk"
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or "write-secured2-bulk"
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or "bench-read-bulk"
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or "stream-events"
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or "write"
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or "write2"
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