Function benchmarkLargeResultMemory

benchmark/performance.js:642–670

* 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

(name)

 * 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