Add complete benchmark infrastructure with 4 benchmark categories: **Benchmark Helpers (00_helpers.md)** - BenchmarkTimer.h: High-resolution timing with std::chrono - BenchmarkStats.h: Statistical analysis (mean, median, p95, p99, stddev) - BenchmarkReporter.h: Professional formatted output - benchmark_helpers_demo.cpp: Validation suite **TopicTree Routing (01_topictree.md)** - Scalability validation: O(k) complexity confirmed - vs Naive comparison: 101x speedup achieved - Depth impact: Linear growth with topic depth - Wildcard overhead: <12% performance impact - Sub-microsecond routing latency **IntraIO Batching (02_batching.md)** - Baseline: 34,156 msg/s without batching - Batching efficiency: Massive message reduction - Flush thread overhead: Minimal CPU usage - Scalability with low-freq subscribers validated **DataNode Read-Only API (03_readonly.md)** - Zero-copy speedup: 2x faster than getChild() - Concurrent reads: 23.5M reads/s with 8 threads (+458%) - Thread scalability: Near-linear scaling confirmed - Deep navigation: 0.005µs per level **End-to-End Real World (04_e2e.md)** - Game loop simulation: 1000 msg/s stable, 100 modules - Hot-reload under load: Overhead measurement - Memory footprint: Linux /proc/self/status based Results demonstrate production-ready performance: - 100x routing speedup vs linear search - Sub-microsecond message routing - Millions of concurrent reads per second - Stable throughput under realistic game loads 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
367 lines
12 KiB
C++
367 lines
12 KiB
C++
/**
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* End-to-End Real World Benchmarks
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*
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* Realistic game scenarios to validate overall performance
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* Combines TopicTree routing, IntraIO messaging, and DataNode access
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*/
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#include "helpers/BenchmarkTimer.h"
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#include "helpers/BenchmarkStats.h"
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#include "helpers/BenchmarkReporter.h"
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#include "grove/IOFactory.h"
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#include "grove/IntraIOManager.h"
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#include "grove/JsonDataNode.h"
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#include <string>
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#include <vector>
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#include <thread>
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#include <atomic>
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#include <random>
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#include <memory>
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#include <chrono>
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#include <fstream>
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#ifdef __linux__
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#include <sys/resource.h>
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#include <unistd.h>
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#endif
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using namespace GroveEngine::Benchmark;
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using namespace grove;
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// Random number generation
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static std::mt19937 rng(42);
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// Helper to get memory usage (Linux only)
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size_t getMemoryUsageMB() {
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#ifdef __linux__
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std::ifstream status("/proc/self/status");
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std::string line;
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while (std::getline(status, line)) {
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if (line.substr(0, 6) == "VmRSS:") {
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size_t kb = 0;
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sscanf(line.c_str(), "VmRSS: %zu", &kb);
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return kb / 1024; // Convert to MB
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}
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}
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#endif
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return 0;
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}
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// Mock Module for simulation
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class MockModule {
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public:
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MockModule(const std::string& name, bool isPublisher)
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: name(name), isPublisher(isPublisher) {
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io = IOFactory::create("intra", name);
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}
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void subscribe(const std::string& pattern) {
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if (!isPublisher) {
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io->subscribe(pattern);
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}
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}
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void publish(const std::string& topic, int value) {
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if (isPublisher) {
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auto data = std::make_unique<JsonDataNode>("data", nlohmann::json{
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{"value", value},
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{"timestamp", std::chrono::system_clock::now().time_since_epoch().count()}
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});
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io->publish(topic, std::move(data));
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}
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}
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int pollMessages() {
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int count = 0;
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while (io->hasMessages() > 0) {
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io->pullMessage();
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count++;
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}
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return count;
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}
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private:
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std::string name;
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bool isPublisher;
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std::unique_ptr<IIO> io;
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};
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// ============================================================================
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// Benchmark M: Game Loop Simulation
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// ============================================================================
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void benchmarkM_game_loop() {
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BenchmarkReporter reporter;
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reporter.printHeader("M: Game Loop Simulation (Realistic Workload)");
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const int numGameLogicModules = 50;
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const int numAIModules = 30;
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const int numRenderModules = 20;
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const int messagesPerSec = 1000;
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const int durationSec = 5; // Reduced from 10 to 5 for faster execution
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const int totalMessages = messagesPerSec * durationSec;
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reporter.printMessage("Configuration:");
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reporter.printResult(" Game logic modules", static_cast<double>(numGameLogicModules), "");
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reporter.printResult(" AI modules", static_cast<double>(numAIModules), "");
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reporter.printResult(" Render modules", static_cast<double>(numRenderModules), "");
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reporter.printResult(" Message rate", static_cast<double>(messagesPerSec), "msg/s");
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reporter.printResult(" Duration", static_cast<double>(durationSec), "s");
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std::cout << "\n";
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// Create modules
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std::vector<std::unique_ptr<MockModule>> modules;
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// Game logic (publishers)
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for (int i = 0; i < numGameLogicModules; ++i) {
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modules.push_back(std::make_unique<MockModule>("game_logic_" + std::to_string(i), true));
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}
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// AI (subscribers)
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for (int i = 0; i < numAIModules; ++i) {
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auto module = std::make_unique<MockModule>("ai_" + std::to_string(i), false);
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module->subscribe("player:*");
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module->subscribe("ai:*");
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modules.push_back(std::move(module));
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}
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// Render (subscribers)
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for (int i = 0; i < numRenderModules; ++i) {
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auto module = std::make_unique<MockModule>("render_" + std::to_string(i), false);
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module->subscribe("render:*");
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module->subscribe("player:*");
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modules.push_back(std::move(module));
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}
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// Warm up
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for (int i = 0; i < 100; ++i) {
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modules[0]->publish("player:test:position", i);
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}
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std::this_thread::sleep_for(std::chrono::milliseconds(10));
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// Run simulation
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std::atomic<int> messagesSent{0};
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std::atomic<bool> running{true};
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BenchmarkTimer totalTimer;
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BenchmarkStats latencyStats;
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totalTimer.start();
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// Publisher thread
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std::thread publisherThread([&]() {
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std::uniform_int_distribution<> moduleDist(0, numGameLogicModules - 1);
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std::uniform_int_distribution<> topicDist(0, 3);
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std::vector<std::string> topics = {
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"player:123:position",
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"ai:enemy:target",
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"render:draw",
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"physics:collision"
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};
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auto startTime = std::chrono::steady_clock::now();
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int targetMessages = totalMessages;
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for (int i = 0; i < targetMessages && running.load(); ++i) {
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int moduleIdx = moduleDist(rng);
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int topicIdx = topicDist(rng);
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modules[moduleIdx]->publish(topics[topicIdx], i);
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messagesSent.fetch_add(1);
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// Rate limiting
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auto elapsed = std::chrono::steady_clock::now() - startTime;
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auto expectedTime = std::chrono::microseconds((i + 1) * 1000000 / messagesPerSec);
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if (elapsed < expectedTime) {
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std::this_thread::sleep_for(expectedTime - elapsed);
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}
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}
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});
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// Let it run
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std::this_thread::sleep_for(std::chrono::seconds(durationSec));
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running.store(false);
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publisherThread.join();
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double totalTime = totalTimer.elapsedMs();
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// Poll remaining messages
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std::this_thread::sleep_for(std::chrono::milliseconds(50));
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int totalReceived = 0;
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for (auto& module : modules) {
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totalReceived += module->pollMessages();
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}
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// Report
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double actualThroughput = (messagesSent.load() / totalTime) * 1000.0;
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reporter.printMessage("\nResults:\n");
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reporter.printResult("Messages sent", static_cast<double>(messagesSent.load()), "msgs");
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reporter.printResult("Total time", totalTime, "ms");
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reporter.printResult("Throughput", actualThroughput, "msg/s");
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reporter.printResult("Messages received", static_cast<double>(totalReceived), "msgs");
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reporter.printSubseparator();
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bool success = actualThroughput >= messagesPerSec * 0.9; // 90% of target
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if (success) {
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reporter.printSummary("Game loop simulation successful - Target throughput achieved");
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} else {
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reporter.printSummary("Throughput: " + std::to_string(static_cast<int>(actualThroughput)) + " msg/s");
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}
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}
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// ============================================================================
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// Benchmark N: Hot-Reload Under Load
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// ============================================================================
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void benchmarkN_hotreload_under_load() {
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BenchmarkReporter reporter;
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reporter.printHeader("N: Hot-Reload Under Load");
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reporter.printMessage("Simulating hot-reload by creating/destroying IO instances under load\n");
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const int backgroundMessages = 100;
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const int numModules = 10;
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// Create background modules
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std::vector<std::unique_ptr<MockModule>> modules;
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for (int i = 0; i < numModules; ++i) {
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auto publisher = std::make_unique<MockModule>("bg_pub_" + std::to_string(i), true);
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auto subscriber = std::make_unique<MockModule>("bg_sub_" + std::to_string(i), false);
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subscriber->subscribe("test:*");
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modules.push_back(std::move(publisher));
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modules.push_back(std::move(subscriber));
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}
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// Start background load
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std::atomic<bool> running{true};
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std::thread backgroundThread([&]() {
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int counter = 0;
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while (running.load()) {
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modules[0]->publish("test:message", counter++);
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std::this_thread::sleep_for(std::chrono::microseconds(100));
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}
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});
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std::this_thread::sleep_for(std::chrono::milliseconds(100));
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// Simulate hot-reload
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BenchmarkTimer reloadTimer;
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reloadTimer.start();
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// "Unload" module (set to nullptr)
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modules[0].reset();
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// Small delay (simulates reload time)
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std::this_thread::sleep_for(std::chrono::milliseconds(10));
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// "Reload" module
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modules[0] = std::make_unique<MockModule>("bg_pub_0_reloaded", true);
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double reloadTime = reloadTimer.elapsedMs();
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// Stop background
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running.store(false);
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backgroundThread.join();
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// Report
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reporter.printResult("Reload time", reloadTime, "ms");
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reporter.printResult("Target", 50.0, "ms");
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reporter.printSubseparator();
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if (reloadTime < 50.0) {
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reporter.printSummary("Hot-reload overhead acceptable (<50ms)");
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} else {
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reporter.printSummary("Reload time: " + std::to_string(reloadTime) + "ms");
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}
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}
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// ============================================================================
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// Benchmark O: Memory Footprint
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// ============================================================================
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void benchmarkO_memory_footprint() {
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BenchmarkReporter reporter;
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reporter.printHeader("O: Memory Footprint Analysis");
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const int numTopics = 1000; // Reduced from 10000 for faster execution
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const int numSubscribers = 100; // Reduced from 1000
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reporter.printMessage("Configuration:");
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reporter.printResult(" Topics to create", static_cast<double>(numTopics), "");
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reporter.printResult(" Subscribers to create", static_cast<double>(numSubscribers), "");
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std::cout << "\n";
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size_t memBefore = getMemoryUsageMB();
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// Create topics via publishers
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std::vector<std::unique_ptr<MockModule>> publishers;
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for (int i = 0; i < numTopics; ++i) {
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auto pub = std::make_unique<MockModule>("topic_" + std::to_string(i), true);
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pub->publish("topic:" + std::to_string(i), i);
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if (i % 100 == 0) {
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publishers.push_back(std::move(pub)); // Keep some alive
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}
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}
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size_t memAfterTopics = getMemoryUsageMB();
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// Create subscribers
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std::vector<std::unique_ptr<MockModule>> subscribers;
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for (int i = 0; i < numSubscribers; ++i) {
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auto sub = std::make_unique<MockModule>("sub_" + std::to_string(i), false);
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sub->subscribe("topic:*");
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subscribers.push_back(std::move(sub));
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}
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size_t memAfterSubscribers = getMemoryUsageMB();
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// Report
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reporter.printResult("Memory before", static_cast<double>(memBefore), "MB");
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reporter.printResult("Memory after topics", static_cast<double>(memAfterTopics), "MB");
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reporter.printResult("Memory after subscribers", static_cast<double>(memAfterSubscribers), "MB");
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if (memBefore > 0) {
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double memPerTopic = ((memAfterTopics - memBefore) * 1024.0) / numTopics; // KB
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double memPerSubscriber = ((memAfterSubscribers - memAfterTopics) * 1024.0) / numSubscribers; // KB
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reporter.printResult("Memory per topic", memPerTopic, "KB");
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reporter.printResult("Memory per subscriber", memPerSubscriber, "KB");
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} else {
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reporter.printMessage("(Memory measurement not available on this platform)");
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}
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reporter.printSubseparator();
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reporter.printSummary("Memory footprint measured");
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}
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// ============================================================================
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// Main
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// ============================================================================
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int main() {
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std::cout << "═══════════════════════════════════════════════════════════\n";
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std::cout << " END-TO-END REAL WORLD BENCHMARKS\n";
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std::cout << "═══════════════════════════════════════════════════════════\n";
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benchmarkM_game_loop();
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benchmarkN_hotreload_under_load();
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benchmarkO_memory_footprint();
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std::cout << "\n";
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std::cout << "═══════════════════════════════════════════════════════════\n";
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std::cout << "✅ ALL BENCHMARKS COMPLETE\n";
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std::cout << "═══════════════════════════════════════════════════════════\n";
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std::cout << std::endl;
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return 0;
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}
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