chore(NODE-6720): migrate multibench tests

.evergreen/config.yml

@@ -3323,7 +3323,7 @@ tasks:
     tags:
       - run-spec-benchmark-tests
       - performance
-    exec_timeout_secs: 3600
+    exec_timeout_secs: 18000
     commands:
       - command: expansions.update
         type: setup

.evergreen/generate_evergreen_tasks.js

@@ -756,7 +756,7 @@ function addPerformanceTasks() {
   const makePerfTaskNEW = (name, MONGODB_CLIENT_OPTIONS) => ({
     name,
     tags: ['run-spec-benchmark-tests', 'performance'],
-    exec_timeout_secs: 3600,
+    exec_timeout_secs: 18000,
     commands: [
       updateExpansions({
         NODE_LTS_VERSION: 'v22.11.0',

test/benchmarks/driver_bench/readme.md

@@ -0,0 +1,48 @@
+# Node.js Driver Benchmarks
+
+Set up the driver for development (`npm ci` in the top level of this repo).
+
+Then:
+
+```sh
+npm start
+```
+
+will build the benchmarks and run them.
+
+## Running individual benchmarks
+
+`main.mjs` loops and launches the bench runner for you.
+
+You can launch `runner.mjs` directly and tell it which benchmark to run.
+
+```sh
+node lib/runner.mjs suites/multi_bench/grid_fs_upload.mjs
+```
+
+## Writing your own benchmark
+
+In the suites directory you can add a new suite folder or add a new `.mts` file to an existing one.
+
+A benchmark must export the following:
+
+```ts
+type BenchmarkModule = {
+  taskSize: number;
+  before?: () => Promise<void>;
+  beforeEach?: () => Promise<void>;
+  run: () => Promise<void>;
+  afterEach?: () => Promise<void>;
+  after?: () => Promise<void>;
+};
+```
+
+Just like mocha we have once before and once after as well as before each and after each hooks.
+
+The `driver.mts` module is intended to hold various helpers for setup and teardown and help abstract some of the driver API.
+
+## Wishlist
+
+- Make it so runner can handle: `./lib/suites/multi_bench/grid_fs_upload.mjs` as an argument so shell path autocomplete makes it easier to pick a benchmark
+- Make `main.mjs` accept a filter of some kind to run some of the benchmarks
+- TBD

test/benchmarks/driver_bench/src/suites/multi_bench/aggregate_a_million_documents_and_to_array.mts

@@ -0,0 +1,38 @@
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 16;
+
+let db: mongodb.Db;
+
+export async function before() {
+  await driver.drop();
+  await driver.create();
+
+  db = driver.db;
+}
+
+export async function run() {
+  await db
+    .aggregate([
+      { $documents: [{}] },
+      {
+        $set: {
+          field: {
+            $reduce: {
+              input: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
+              initialValue: [0],
+              in: { $concatArrays: ['$$value', '$$value'] }
+            }
+          }
+        }
+      },
+      { $unwind: '$field' },
+      { $limit: 1000000 }
+    ])
+    .toArray();
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}

test/benchmarks/driver_bench/src/suites/multi_bench/aggregate_a_million_tweets_and_to_array.mts

@@ -0,0 +1,41 @@
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 1500;
+
+let db: mongodb.Db;
+let tweet: Record<string, any>;
+
+export async function before() {
+  await driver.drop();
+  await driver.create();
+
+  tweet = await driver.load('single_and_multi_document/tweet.json', 'json');
+
+  db = driver.db;
+}
+
+export async function run() {
+  await db
+    .aggregate([
+      { $documents: [tweet] },
+      {
+        $set: {
+          field: {
+            $reduce: {
+              input: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
+              initialValue: [0],
+              in: { $concatArrays: ['$$value', '$$value'] }
+            }
+          }
+        }
+      },
+      { $unwind: '$field' },
+      { $limit: 1000000 }
+    ])
+    .toArray();
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}

test/benchmarks/driver_bench/src/suites/multi_bench/find_many_and_to_array.mts

@@ -0,0 +1,24 @@
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 16.22;
+
+let collection: mongodb.Collection;
+
+export async function before() {
+  await driver.drop();
+  await driver.create();
+
+  const tweet = await driver.load('single_and_multi_document/tweet.json', 'json');
+  await driver.insertManyOf(tweet, 10000);
+
+  collection = driver.collection;
+}
+
+export async function run() {
+  await collection.find({}).toArray();
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}

test/benchmarks/driver_bench/src/suites/multi_bench/grid_fs_download.mts

@@ -0,0 +1,40 @@
+import { Readable, Writable } from 'node:stream';
+import { pipeline } from 'node:stream/promises';
+
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 52.43;
+
+let bucket: mongodb.GridFSBucket;
+let bin: Uint8Array;
+let _id: mongodb.ObjectId;
+const devNull = () => new Writable({ write: (_, __, callback) => callback() });
+
+export async function before() {
+  bin = await driver.load('single_and_multi_document/gridfs_large.bin', 'buffer');
+}
+
+export async function beforeEach() {
+  await driver.drop();
+  await driver.create();
+
+  bucket = driver.bucket;
+
+  await bucket.drop().catch(() => null);
+
+  // Create the bucket.
+  const stream = bucket.openUploadStream('gridfstest');
+  const largeBin = Readable.from(bin);
+  await pipeline(largeBin, stream);
+  _id = stream.id;
+}
+
+export async function run() {
+  const downloadStream = bucket.openDownloadStream(_id);
+  await pipeline(downloadStream, devNull());
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}

test/benchmarks/driver_bench/src/suites/multi_bench/grid_fs_upload.mts

@@ -0,0 +1,40 @@
+import { Readable } from 'node:stream';
+import { pipeline } from 'node:stream/promises';
+
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 52.43;
+
+let bucket: mongodb.GridFSBucket;
+let uploadStream: mongodb.GridFSBucketWriteStream;
+let bin: Uint8Array;
+
+export async function before() {
+  bin = await driver.load('single_and_multi_document/gridfs_large.bin', 'buffer');
+}
+
+export async function beforeEach() {
+  await driver.drop();
+  await driver.create();
+
+  bucket = driver.bucket;
+
+  await bucket.drop().catch(() => null);
+
+  uploadStream = bucket.openUploadStream('gridfstest');
+
+  // Create the bucket.
+  const stream = bucket.openUploadStream('setup-file.txt');
+  const oneByteFile = Readable.from('a');
+  await pipeline(oneByteFile, stream);
+}
+
+export async function run() {
+  const uploadData = Readable.from(bin);
+  await pipeline(uploadData, uploadStream);
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}

test/benchmarks/driver_bench/src/suites/multi_bench/large_doc_bulk_insert.mts

@@ -0,0 +1,30 @@
+import { driver, type mongodb } from '../../driver.mjs';
+
+export const taskSize = 27.31;
+
+let collection: mongodb.Collection;
+let documents: any[];
+let largeDoc: any;
+
+export async function before() {
+  largeDoc = await driver.load('single_and_multi_document/large_doc.json', 'json');
+}
+
+export async function beforeEach() {
+  await driver.drop();
+  await driver.create();
+
+  // Make new "documents" so the _id field is not carried over from the last run
+  documents = Array.from({ length: 10 }, () => ({ ...largeDoc })) as any[];
+
+  collection = driver.collection;
+}
+
+export async function run() {
+  await collection.insertMany(documents, { ordered: true });
+}
+
+export async function after() {
+  await driver.drop();
+  await driver.close();
+}