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:
Joseph Doherty
+219
@@ -120,6 +120,7 @@ public final class MxGatewayCli implements Callable<Integer> {
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commandLine.addSubcommand("write2-bulk", new Write2BulkCommand(clientFactory));
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commandLine.addSubcommand("write-secured-bulk", new WriteSecuredBulkCommand(clientFactory));
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commandLine.addSubcommand("write-secured2-bulk", new WriteSecured2BulkCommand(clientFactory));
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commandLine.addSubcommand("bench-read-bulk", new BenchReadBulkCommand(clientFactory));
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commandLine.addSubcommand("write", new WriteCommand(clientFactory));
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commandLine.addSubcommand("stream-events", new StreamEventsCommand(clientFactory));
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commandLine.addSubcommand("smoke", new SmokeCommand(clientFactory));
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@@ -769,6 +770,224 @@ public final class MxGatewayCli implements Callable<Integer> {
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}
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}
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/**
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* Cross-language ReadBulk stress benchmark — mirrors the .NET / Go / Rust /
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* Python implementations so the PS driver collates one JSON schema across
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* all five clients.
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*/
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@Command(name = "bench-read-bulk", description = "Cross-language ReadBulk stress benchmark.")
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static final class BenchReadBulkCommand extends GatewayCommand {
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@Option(names = "--client-name", defaultValue = "mxgw-java-bench")
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String clientName;
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@Option(names = "--duration-seconds", defaultValue = "30")
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int durationSeconds;
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@Option(names = "--warmup-seconds", defaultValue = "3")
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int warmupSeconds;
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@Option(names = "--bulk-size", defaultValue = "6")
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int bulkSize;
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@Option(names = "--tag-start", defaultValue = "1")
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int tagStart;
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@Option(names = "--tag-prefix", defaultValue = "TestMachine_")
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String tagPrefix;
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@Option(names = "--tag-attribute", defaultValue = "TestChangingInt")
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String tagAttribute;
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@Option(names = "--timeout-ms", defaultValue = "1500")
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int timeoutMs;
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BenchReadBulkCommand(MxGatewayCliClientFactory clientFactory) {
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super(clientFactory);
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}
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@Override
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public Integer call() {
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if (bulkSize < 1) {
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throw new IllegalArgumentException("bulk-size must be positive");
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}
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List<String> tags = new ArrayList<>(bulkSize);
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for (int i = 0; i < bulkSize; i++) {
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tags.add(String.format("%s%03d.%s", tagPrefix, tagStart + i, tagAttribute));
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}
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try (MxGatewayCliClient client = clientFactory.connect(common.resolved())) {
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var openReply = client.openSession(
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mxaccess_gateway.v1.MxaccessGateway.OpenSessionRequest.newBuilder()
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.setClientSessionName(clientName)
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.build());
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String sessionId = openReply.getSessionId();
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MxGatewayCliSession session = client.session(sessionId);
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List<Integer> itemHandles = new ArrayList<>();
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long steadyElapsedNanos;
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long[] latenciesNanos;
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int latencyCount = 0;
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long successful = 0;
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long failed = 0;
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long totalResults = 0;
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long cachedResults = 0;
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int serverHandle = session.register(clientName);
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try {
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List<SubscribeResult> subscribeResults = session.subscribeBulk(serverHandle, tags);
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for (SubscribeResult r : subscribeResults) {
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if (r.getWasSuccessful()) {
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itemHandles.add(r.getItemHandle());
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}
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}
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// Warm-up window — drives identical calls so JIT / connection
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// pool effects are amortised before the measurement window.
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long warmupDeadline = System.nanoTime() + warmupSeconds * 1_000_000_000L;
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while (System.nanoTime() < warmupDeadline) {
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session.readBulk(serverHandle, tags, timeoutMs);
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}
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latenciesNanos = new long[Math.max(1024, durationSeconds * 1000)];
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long steadyStart = System.nanoTime();
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long steadyDeadline = steadyStart + durationSeconds * 1_000_000_000L;
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while (System.nanoTime() < steadyDeadline) {
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long callStart = System.nanoTime();
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try {
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List<BulkReadResult> results = session.readBulk(serverHandle, tags, timeoutMs);
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long elapsed = System.nanoTime() - callStart;
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if (latencyCount >= latenciesNanos.length) {
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long[] grown = new long[latenciesNanos.length * 2];
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System.arraycopy(latenciesNanos, 0, grown, 0, latencyCount);
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latenciesNanos = grown;
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}
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latenciesNanos[latencyCount++] = elapsed;
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successful++;
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for (BulkReadResult r : results) {
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totalResults++;
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if (r.getWasCached()) {
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cachedResults++;
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}
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}
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} catch (Exception ex) {
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long elapsed = System.nanoTime() - callStart;
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if (latencyCount >= latenciesNanos.length) {
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long[] grown = new long[latenciesNanos.length * 2];
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System.arraycopy(latenciesNanos, 0, grown, 0, latencyCount);
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latenciesNanos = grown;
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}
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latenciesNanos[latencyCount++] = elapsed;
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failed++;
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}
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}
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steadyElapsedNanos = System.nanoTime() - steadyStart;
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} finally {
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if (!itemHandles.isEmpty()) {
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try { session.unsubscribeBulk(serverHandle, itemHandles); } catch (Exception ignored) { }
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}
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try { client.closeSession(mxaccess_gateway.v1.MxaccessGateway.CloseSessionRequest.newBuilder()
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.setSessionId(sessionId).build()); } catch (Exception ignored) { }
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}
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long totalCalls = successful + failed;
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double steadyElapsedSeconds = steadyElapsedNanos / 1_000_000_000.0;
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double callsPerSecond = steadyElapsedSeconds > 0 ? totalCalls / steadyElapsedSeconds : 0.0;
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writeBenchOutput(common, json, tags, clientName, bulkSize, durationSeconds, warmupSeconds,
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steadyElapsedNanos, totalCalls, successful, failed, totalResults, cachedResults,
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callsPerSecond, latenciesNanos, latencyCount);
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}
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return 0;
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}
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}
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private static void writeBenchOutput(
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CommonOptions common,
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boolean json,
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List<String> tags,
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String clientName,
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int bulkSize,
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int durationSeconds,
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int warmupSeconds,
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long steadyElapsedNanos,
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long totalCalls,
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long successful,
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long failed,
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long totalResults,
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long cachedResults,
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double callsPerSecond,
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long[] latenciesNanos,
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int latencyCount) {
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PrintWriter out = common.spec.commandLine().getOut();
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Map<String, Object> latencyMs = percentileSummaryMs(latenciesNanos, latencyCount);
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if (json) {
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Map<String, Object> output = new LinkedHashMap<>();
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output.put("language", "java");
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output.put("command", "bench-read-bulk");
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output.put("endpoint", common.endpoint);
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output.put("clientName", clientName);
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output.put("bulkSize", bulkSize);
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output.put("durationSeconds", durationSeconds);
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output.put("warmupSeconds", warmupSeconds);
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output.put("durationMs", steadyElapsedNanos / 1_000_000L);
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output.put("tags", tags);
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output.put("totalCalls", totalCalls);
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output.put("successfulCalls", successful);
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output.put("failedCalls", failed);
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output.put("totalReadResults", totalResults);
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output.put("cachedReadResults", cachedResults);
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output.put("callsPerSecond", roundTo(callsPerSecond, 2));
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output.put("latencyMs", latencyMs);
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out.println(jsonObject(output));
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return;
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}
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out.println(callsPerSecond);
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}
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private static Map<String, Object> percentileSummaryMs(long[] latenciesNanos, int count) {
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Map<String, Object> result = new LinkedHashMap<>();
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if (count == 0) {
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result.put("p50", 0.0);
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result.put("p95", 0.0);
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result.put("p99", 0.0);
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result.put("max", 0.0);
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result.put("mean", 0.0);
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return result;
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}
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long[] sorted = new long[count];
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System.arraycopy(latenciesNanos, 0, sorted, 0, count);
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java.util.Arrays.sort(sorted);
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double sumMs = 0.0;
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for (int i = 0; i < count; i++) {
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sumMs += sorted[i] / 1_000_000.0;
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}
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result.put("p50", roundTo(percentileMs(sorted, 0.50), 3));
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result.put("p95", roundTo(percentileMs(sorted, 0.95), 3));
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result.put("p99", roundTo(percentileMs(sorted, 0.99), 3));
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result.put("max", roundTo(sorted[count - 1] / 1_000_000.0, 3));
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result.put("mean", roundTo(sumMs / count, 3));
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return result;
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}
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private static double percentileMs(long[] sorted, double quantile) {
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int n = sorted.length;
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if (n == 0) {
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return 0.0;
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}
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if (n == 1) {
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return sorted[0] / 1_000_000.0;
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}
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double rank = quantile * (n - 1);
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int lower = (int) Math.floor(rank);
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int upper = Math.min(lower + 1, n - 1);
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double fraction = rank - lower;
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double lowerMs = sorted[lower] / 1_000_000.0;
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double upperMs = sorted[upper] / 1_000_000.0;
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return lowerMs + (upperMs - lowerMs) * fraction;
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}
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private static double roundTo(double value, int digits) {
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double shift = Math.pow(10, digits);
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return Math.round(value * shift) / shift;
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}
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@Command(name = "write", description = "Invokes MXAccess Write.")
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static final class WriteCommand extends GatewayCommand {
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@Option(names = "--session-id", required = true, description = "Gateway session id.")
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