ci: Add GC memory pressure performance test (#10094)

benchmark/performance.js

@@ -195,6 +195,105 @@ async function measureOperation({ name, operation, iterations, skipWarmup = fals
   }
 }
 
+/**
+ * Measure GC pressure for an async operation over multiple iterations.
+ * Tracks garbage collection duration per operation using PerformanceObserver.
+ * Larger transient allocations (e.g., from unbounded cursor batch sizes) cause
+ * more frequent and longer GC pauses, which this metric directly captures.
+ * @param {Object} options Measurement options.
+ * @param {string} options.name Name of the operation being measured.
+ * @param {Function} options.operation Async function to measure.
+ * @param {number} options.iterations Number of iterations to run.
+ * @param {boolean} [options.skipWarmup=false] Skip warmup phase.
+ */
+async function measureMemoryOperation({ name, operation, iterations, skipWarmup = false }) {
+  const { PerformanceObserver } = require('node:perf_hooks');
+
+  // Override iterations if global ITERATIONS is set
+  iterations = ITERATIONS || iterations;
+
+  // Determine warmup count (20% of iterations)
+  const warmupCount = skipWarmup ? 0 : Math.floor(iterations * 0.2);
+  const gcDurations = [];
+
+  if (warmupCount > 0) {
+    logInfo(`Starting warmup phase of ${warmupCount} iterations...`);
+    for (let i = 0; i < warmupCount; i++) {
+      await operation();
+    }
+    logInfo('Warmup complete.');
+  }
+
+  // Measurement phase
+  logInfo(`Starting measurement phase of ${iterations} iterations...`);
+  const progressInterval = Math.ceil(iterations / 10);
+
+  for (let i = 0; i < iterations; i++) {
+    // Force GC before each iteration to start from a clean state
+    if (typeof global.gc === 'function') {
+      global.gc();
+    }
+
+    // Track GC events during this iteration; measure the longest single GC pause,
+    // which reflects the production impact of large transient allocations
+    let maxGcPause = 0;
+    const obs = new PerformanceObserver((list) => {
+      for (const entry of list.getEntries()) {
+        if (entry.duration > maxGcPause) {
+          maxGcPause = entry.duration;
+        }
+      }
+    });
+    obs.observe({ type: 'gc', buffered: false });
+
+    await operation();
+
+    // Flush any buffered entries before disconnecting to avoid data loss
+    for (const entry of obs.takeRecords()) {
+      if (entry.duration > maxGcPause) {
+        maxGcPause = entry.duration;
+      }
+    }
+    obs.disconnect();
+    gcDurations.push(maxGcPause);
+
+    if (LOG_ITERATIONS) {
+      logInfo(`Iteration ${i + 1}: ${maxGcPause.toFixed(2)} ms GC`);
+    } else if ((i + 1) % progressInterval === 0 || i + 1 === iterations) {
+      const progress = Math.round(((i + 1) / iterations) * 100);
+      logInfo(`Progress: ${progress}%`);
+    }
+  }
+
+  // Sort for percentile calculations
+  gcDurations.sort((a, b) => a - b);
+
+  // Filter outliers using IQR method
+  const q1Index = Math.floor(gcDurations.length * 0.25);
+  const q3Index = Math.floor(gcDurations.length * 0.75);
+  const q1 = gcDurations[q1Index];
+  const q3 = gcDurations[q3Index];
+  const iqr = q3 - q1;
+  const lowerBound = q1 - 1.5 * iqr;
+  const upperBound = q3 + 1.5 * iqr;
+
+  const filtered = gcDurations.filter(d => d >= lowerBound && d <= upperBound);
+
+  const median = filtered[Math.floor(filtered.length * 0.5)];
+  const p95 = filtered[Math.floor(filtered.length * 0.95)];
+  const p99 = filtered[Math.floor(filtered.length * 0.99)];
+  const min = filtered[0];
+  const max = filtered[filtered.length - 1];
+
+  return {
+    name,
+    value: median,
+    unit: 'ms',
+    range: `${min.toFixed(2)} - ${max.toFixed(2)}`,
+    extra: `p95: ${p95.toFixed(2)}ms, p99: ${p99.toFixed(2)}ms, n=${filtered.length}/${gcDurations.length}`,
+  };
+}
+
 /**
  * Benchmark: Object Create
  */
@@ -525,6 +624,84 @@ async function benchmarkQueryWithIncludeNested(name) {
   });
 }
 
+/**
+ * Benchmark: Large Result Set GC Pressure
+ * Measures max GC pause when querying many large documents, which is affected
+ * by MongoDB cursor batch size configuration. Without a batch size limit,
+ * the driver processes larger data chunks between yield points, creating more
+ * garbage that triggers longer GC pauses.
+ */
+async function benchmarkLargeResultMemory(name) {
+  const TestObject = Parse.Object.extend('BenchmarkLargeResult');
+  const TOTAL_OBJECTS = 3_000;
+  const SAVE_BATCH_SIZE = 200;
+
+  // Seed data in batches; ~8 KB per document so 3,000 docs ≈ 24 MB total,
+  // exceeding MongoDB's 16 MiB default batch limit to test cursor batching
+  for (let i = 0; i < TOTAL_OBJECTS; i += SAVE_BATCH_SIZE) {
+    const batch = [];
+    for (let j = 0; j < SAVE_BATCH_SIZE && i + j < TOTAL_OBJECTS; j++) {
+      const obj = new TestObject();
+      obj.set('category', (i + j) % 10);
+      obj.set('value', i + j);
+      obj.set('data', `padding-${i + j}-${'x'.repeat(8000)}`);
+      batch.push(obj);
+    }
+    await Parse.Object.saveAll(batch);
+  }
+
+  return measureMemoryOperation({
+    name,
+    iterations: 100,
+    operation: async () => {
+      const query = new Parse.Query('BenchmarkLargeResult');
+      query.limit(TOTAL_OBJECTS);
+      await query.find({ useMasterKey: true });
+    },
+  });
+}
+
+/**
+ * Benchmark: Concurrent Query GC Pressure
+ * Measures max GC pause under concurrent load with large result sets.
+ * Simulates production conditions where multiple clients query simultaneously,
+ * compounding GC pressure from cursor batch sizes.
+ */
+async function benchmarkConcurrentQueryMemory(name) {
+  const TestObject = Parse.Object.extend('BenchmarkConcurrentResult');
+  const TOTAL_OBJECTS = 3_000;
+  const SAVE_BATCH_SIZE = 200;
+  const CONCURRENT_QUERIES = 10;
+
+  // Seed data in batches; ~8 KB per document so 3,000 docs ≈ 24 MB total,
+  // exceeding MongoDB's 16 MiB default batch limit to test cursor batching
+  for (let i = 0; i < TOTAL_OBJECTS; i += SAVE_BATCH_SIZE) {
+    const batch = [];
+    for (let j = 0; j < SAVE_BATCH_SIZE && i + j < TOTAL_OBJECTS; j++) {
+      const obj = new TestObject();
+      obj.set('category', (i + j) % 10);
+      obj.set('value', i + j);
+      obj.set('data', `padding-${i + j}-${'x'.repeat(8000)}`);
+      batch.push(obj);
+    }
+    await Parse.Object.saveAll(batch);
+  }
+
+  return measureMemoryOperation({
+    name,
+    iterations: 50,
+    operation: async () => {
+      const queries = [];
+      for (let i = 0; i < CONCURRENT_QUERIES; i++) {
+        const query = new Parse.Query('BenchmarkConcurrentResult');
+        query.limit(TOTAL_OBJECTS);
+        queries.push(query.find({ useMasterKey: true }));
+      }
+      await Promise.all(queries);
+    },
+  });
+}
+
 /**
  * Run all benchmarks
  */
@@ -555,6 +732,8 @@ async function runBenchmarks() {
       { name: 'User.login', fn: benchmarkUserLogin },
       { name: 'Query.include (parallel pointers)', fn: benchmarkQueryWithIncludeParallel },
       { name: 'Query.include (nested pointers)', fn: benchmarkQueryWithIncludeNested },
+      { name: 'Query.find (large result, GC pressure)', fn: benchmarkLargeResultMemory },
+      { name: 'Query.find (concurrent, GC pressure)', fn: benchmarkConcurrentQueryMemory },
     ];
 
     // Run each benchmark with database cleanup

package.json

@@ -137,7 +137,7 @@
     "postinstall": "node -p 'require(\"./postinstall.js\")()'",
     "madge:circular": "node_modules/.bin/madge ./src --circular",
     "benchmark": "cross-env MONGODB_VERSION=8.0.4 MONGODB_TOPOLOGY=standalone mongodb-runner exec -t standalone --version 8.0.4 -- --port 27017 -- npm run benchmark:only",
-    "benchmark:only": "node benchmark/performance.js",
+    "benchmark:only": "node --expose-gc benchmark/performance.js",
     "benchmark:quick": "cross-env BENCHMARK_ITERATIONS=10 npm run benchmark:only"
   },
   "types": "types/index.d.ts",