testing local-first datastores
initial commit
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.README.md.swp
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legacy-peer-deps=true
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CLAUDE.md
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CLAUDE.md
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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Node.js/TypeScript benchmark suite comparing local datastore performance (TinyBase, LevelGraph, SQLite) with ~1GB test data. Each benchmark runs 10 iterations, discards high/low scores, and reports the median.
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## Commands
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```bash
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npm install # Install dependencies
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npm run generate # Generate test data (~1GB) to test-data/
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npm run bench # Run benchmarks on all stores (10 iterations each)
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npm run bench:store tinybase # Benchmark single store
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npm run bench:store levelgraph
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npm run bench:store sqlite
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npm run charts # Regenerate charts from latest results
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```
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## Architecture
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- `src/generator/` - Test data generation (URLs, images, documents, metadata)
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- `src/harness/` - Benchmark runner, timing, and result reporting
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- `src/stores/` - Datastore adapters implementing `DatastoreAdapter` interface
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- `src/runner.ts` - Main CLI entry point
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## Adding a New Datastore
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1. Create `src/stores/yourstore.ts` implementing `DatastoreAdapter` from `src/harness/types.ts`
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2. Register in `src/stores/index.ts`
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The adapter interface requires: `init()`, `cleanup()`, `addUrls()`, `addImage()`, `addDocument()`, `addMetadata()`, `getRecentUrls()`, `getImages()`, `getDocuments()`, `getDiskUsage()`
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README.md
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README.md
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# localstress
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Benchmark suite for comparing local datastore performance in Node.js.
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## Quick Start
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```bash
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npm install
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npm run generate # Generate ~1GB test data (takes a few minutes)
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npm run bench # Run benchmarks on all stores
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```
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## Datastores Tested
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- **TinyBase** - Reactive data store for local-first apps
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- **LevelGraph** - Graph database built on LevelDB
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- **SQLite** - Embedded SQL database (via better-sqlite3)
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## Methodology
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Each benchmark is run **10 times** per datastore. The highest and lowest scores are discarded, and the **median** of the remaining 8 runs is reported. This reduces the impact of outliers from system variability.
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## Test Dataset
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Target ~1GB total:
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- 10,000 URLs with metadata
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- 1,000 PNG images (~900MB)
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- 1,000 text documents (~50MB)
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- 100,000 metadata rows
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## Benchmarks
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**Init**
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- Store initialization time
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**Writes**
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- Add all URLs
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- Add all metadata rows
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- Add all images
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- Add all documents
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**Reads**
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- Get 100 most recent URLs
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- Get 10 random images
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- Get 1000 random documents
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**Disk**
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- Total storage space used
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## Commands
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```bash
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npm run generate # Generate test data to test-data/
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npm run bench # Benchmark all stores (10 iterations each)
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npm run bench:store tinybase # Benchmark single store
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npm run bench:store levelgraph
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npm run bench:store sqlite
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npm run charts # Regenerate charts from latest results
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```
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## Adding a New Datastore
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1. Create `src/stores/yourstore.ts` implementing `DatastoreAdapter` from `src/harness/types.ts`
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2. Register in `src/stores/index.ts`
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## Project Structure
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```
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src/
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generator/ # Test data generation
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harness/ # Benchmark runner and reporting
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stores/ # Datastore adapters
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runner.ts # CLI entry point
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test-data/ # Generated test data (gitignored)
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results/ # Benchmark results JSON (gitignored)
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```
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3520
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"integrity": "sha512-toUI84YS5YmxW219erniWD0CIVOo46xGKColeNQRgOzDorgBi1v4D71/OFzgD9GO2UGKIv1C3Sp8DAn0+j5w7A==",
3521
+
"license": "MIT"
3522
+
},
3523
+
"node_modules/wrap-ansi/node_modules/string-width": {
3524
+
"version": "7.2.0",
3525
+
"resolved": "https://registry.npmjs.org/string-width/-/string-width-7.2.0.tgz",
3526
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3527
+
"license": "MIT",
3528
+
"dependencies": {
3529
+
"emoji-regex": "^10.3.0",
3530
+
"get-east-asian-width": "^1.0.0",
3531
+
"strip-ansi": "^7.1.0"
3532
+
},
3533
+
"engines": {
3534
+
"node": ">=18"
3535
+
},
3536
+
"funding": {
3537
+
"url": "https://github.com/sponsors/sindresorhus"
3538
+
}
3539
+
},
3540
+
"node_modules/wrap-ansi/node_modules/strip-ansi": {
3541
+
"version": "7.1.2",
3542
+
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.2.tgz",
3543
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"integrity": "sha512-gmBGslpoQJtgnMAvOVqGZpEz9dyoKTCzy2nfz/n8aIFhN/jCE/rCmcxabB6jOOHV+0WNnylOxaxBQPSvcWklhA==",
3544
+
"license": "MIT",
3545
+
"dependencies": {
3546
+
"ansi-regex": "^6.0.1"
3547
+
},
3548
+
"engines": {
3549
+
"node": ">=12"
3550
+
},
3551
+
"funding": {
3552
+
"url": "https://github.com/chalk/strip-ansi?sponsor=1"
3553
+
}
3554
+
},
3555
+
"node_modules/wrappy": {
3556
+
"version": "1.0.2",
3557
+
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
3558
+
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
3559
+
"license": "ISC"
3560
+
},
3561
+
"node_modules/xtend": {
3562
+
"version": "4.0.2",
3563
+
"resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
3564
+
"integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
3565
+
"license": "MIT",
3566
+
"engines": {
3567
+
"node": ">=0.4"
3568
+
}
3569
+
},
3570
+
"node_modules/y18n": {
3571
+
"version": "5.0.8",
3572
+
"resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
3573
+
"integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
3574
+
"license": "ISC",
3575
+
"engines": {
3576
+
"node": ">=10"
3577
+
}
3578
+
},
3579
+
"node_modules/yallist": {
3580
+
"version": "4.0.0",
3581
+
"resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
3582
+
"integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
3583
+
"license": "ISC"
3584
+
},
3585
+
"node_modules/yargs": {
3586
+
"version": "18.0.0",
3587
+
"resolved": "https://registry.npmjs.org/yargs/-/yargs-18.0.0.tgz",
3588
+
"integrity": "sha512-4UEqdc2RYGHZc7Doyqkrqiln3p9X2DZVxaGbwhn2pi7MrRagKaOcIKe8L3OxYcbhXLgLFUS3zAYuQjKBQgmuNg==",
3589
+
"license": "MIT",
3590
+
"dependencies": {
3591
+
"cliui": "^9.0.1",
3592
+
"escalade": "^3.1.1",
3593
+
"get-caller-file": "^2.0.5",
3594
+
"string-width": "^7.2.0",
3595
+
"y18n": "^5.0.5",
3596
+
"yargs-parser": "^22.0.0"
3597
+
},
3598
+
"engines": {
3599
+
"node": "^20.19.0 || ^22.12.0 || >=23"
3600
+
}
3601
+
},
3602
+
"node_modules/yargs-parser": {
3603
+
"version": "22.0.0",
3604
+
"resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-22.0.0.tgz",
3605
+
"integrity": "sha512-rwu/ClNdSMpkSrUb+d6BRsSkLUq1fmfsY6TOpYzTwvwkg1/NRG85KBy3kq++A8LKQwX6lsu+aWad+2khvuXrqw==",
3606
+
"license": "ISC",
3607
+
"engines": {
3608
+
"node": "^20.19.0 || ^22.12.0 || >=23"
3609
+
}
3610
+
},
3611
+
"node_modules/yargs/node_modules/ansi-regex": {
3612
+
"version": "6.2.2",
3613
+
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.2.2.tgz",
3614
+
"integrity": "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg==",
3615
+
"license": "MIT",
3616
+
"engines": {
3617
+
"node": ">=12"
3618
+
},
3619
+
"funding": {
3620
+
"url": "https://github.com/chalk/ansi-regex?sponsor=1"
3621
+
}
3622
+
},
3623
+
"node_modules/yargs/node_modules/emoji-regex": {
3624
+
"version": "10.6.0",
3625
+
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-10.6.0.tgz",
3626
+
"integrity": "sha512-toUI84YS5YmxW219erniWD0CIVOo46xGKColeNQRgOzDorgBi1v4D71/OFzgD9GO2UGKIv1C3Sp8DAn0+j5w7A==",
3627
+
"license": "MIT"
3628
+
},
3629
+
"node_modules/yargs/node_modules/string-width": {
3630
+
"version": "7.2.0",
3631
+
"resolved": "https://registry.npmjs.org/string-width/-/string-width-7.2.0.tgz",
3632
+
"integrity": "sha512-tsaTIkKW9b4N+AEj+SVA+WhJzV7/zMhcSu78mLKWSk7cXMOSHsBKFWUs0fWwq8QyK3MgJBQRX6Gbi4kYbdvGkQ==",
3633
+
"license": "MIT",
3634
+
"dependencies": {
3635
+
"emoji-regex": "^10.3.0",
3636
+
"get-east-asian-width": "^1.0.0",
3637
+
"strip-ansi": "^7.1.0"
3638
+
},
3639
+
"engines": {
3640
+
"node": ">=18"
3641
+
},
3642
+
"funding": {
3643
+
"url": "https://github.com/sponsors/sindresorhus"
3644
+
}
3645
+
},
3646
+
"node_modules/yargs/node_modules/strip-ansi": {
3647
+
"version": "7.1.2",
3648
+
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.2.tgz",
3649
+
"integrity": "sha512-gmBGslpoQJtgnMAvOVqGZpEz9dyoKTCzy2nfz/n8aIFhN/jCE/rCmcxabB6jOOHV+0WNnylOxaxBQPSvcWklhA==",
3650
+
"license": "MIT",
3651
+
"dependencies": {
3652
+
"ansi-regex": "^6.0.1"
3653
+
},
3654
+
"engines": {
3655
+
"node": ">=12"
3656
+
},
3657
+
"funding": {
3658
+
"url": "https://github.com/chalk/strip-ansi?sponsor=1"
3659
+
}
3660
+
}
3661
+
}
3662
+
}
+28
package.json
+28
package.json
···
1
+
{
2
+
"name": "localstress",
3
+
"version": "1.0.0",
4
+
"description": "Benchmark suite for comparing local datastore performance",
5
+
"type": "module",
6
+
"scripts": {
7
+
"generate": "tsx src/generator/index.ts",
8
+
"bench": "tsx src/runner.ts",
9
+
"bench:store": "tsx src/runner.ts --store",
10
+
"charts": "tsx src/regenerate-charts.ts"
11
+
},
12
+
"devDependencies": {
13
+
"@types/node": "^20.10.0",
14
+
"tsx": "^4.6.0",
15
+
"typescript": "^5.3.0"
16
+
},
17
+
"dependencies": {
18
+
"better-sqlite3": "^11.0.0",
19
+
"canvas": "^2.11.0",
20
+
"chart.js": "^4.4.0",
21
+
"level": "^8.0.0",
22
+
"levelgraph": "^4.0.0",
23
+
"sharp": "^0.33.0",
24
+
"tinybase": "^5.0.0",
25
+
"vega": "^6.2.0",
26
+
"vega-lite": "^6.4.1"
27
+
}
28
+
}
+101
src/generator/documents.ts
+101
src/generator/documents.ts
···
1
+
import { mkdir, writeFile } from 'fs/promises';
2
+
import { join } from 'path';
3
+
4
+
export interface DocumentInfo {
5
+
id: string;
6
+
filename: string;
7
+
size: number;
8
+
wordCount: number;
9
+
}
10
+
11
+
// Lorem ipsum style word generation
12
+
const WORDS = [
13
+
'lorem', 'ipsum', 'dolor', 'sit', 'amet', 'consectetur', 'adipiscing', 'elit',
14
+
'sed', 'do', 'eiusmod', 'tempor', 'incididunt', 'ut', 'labore', 'et', 'dolore',
15
+
'magna', 'aliqua', 'enim', 'ad', 'minim', 'veniam', 'quis', 'nostrud',
16
+
'exercitation', 'ullamco', 'laboris', 'nisi', 'aliquip', 'ex', 'ea', 'commodo',
17
+
'consequat', 'duis', 'aute', 'irure', 'in', 'reprehenderit', 'voluptate',
18
+
'velit', 'esse', 'cillum', 'fugiat', 'nulla', 'pariatur', 'excepteur', 'sint',
19
+
'occaecat', 'cupidatat', 'non', 'proident', 'sunt', 'culpa', 'qui', 'officia',
20
+
'deserunt', 'mollit', 'anim', 'id', 'est', 'laborum', 'data', 'system',
21
+
'process', 'function', 'value', 'result', 'query', 'database', 'storage',
22
+
'memory', 'cache', 'index', 'search', 'filter', 'sort', 'aggregate'
23
+
];
24
+
25
+
function randomWord(): string {
26
+
return WORDS[Math.floor(Math.random() * WORDS.length)];
27
+
}
28
+
29
+
function generateSentence(): string {
30
+
const length = Math.floor(Math.random() * 15) + 5;
31
+
const words: string[] = [];
32
+
for (let i = 0; i < length; i++) {
33
+
words.push(randomWord());
34
+
}
35
+
words[0] = words[0].charAt(0).toUpperCase() + words[0].slice(1);
36
+
return words.join(' ') + '.';
37
+
}
38
+
39
+
function generateParagraph(): string {
40
+
const sentences = Math.floor(Math.random() * 6) + 3;
41
+
const parts: string[] = [];
42
+
for (let i = 0; i < sentences; i++) {
43
+
parts.push(generateSentence());
44
+
}
45
+
return parts.join(' ');
46
+
}
47
+
48
+
function generateDocument(targetSize: number): { content: string; wordCount: number } {
49
+
const paragraphs: string[] = [];
50
+
let currentSize = 0;
51
+
let wordCount = 0;
52
+
53
+
while (currentSize < targetSize) {
54
+
const para = generateParagraph();
55
+
paragraphs.push(para);
56
+
currentSize += para.length;
57
+
wordCount += para.split(' ').length;
58
+
}
59
+
60
+
return {
61
+
content: paragraphs.join('\n\n'),
62
+
wordCount
63
+
};
64
+
}
65
+
66
+
export async function generateDocuments(
67
+
count: number,
68
+
outputDir: string,
69
+
onProgress?: (current: number, total: number) => void
70
+
): Promise<DocumentInfo[]> {
71
+
const docsDir = join(outputDir, 'documents');
72
+
await mkdir(docsDir, { recursive: true });
73
+
74
+
const documents: DocumentInfo[] = [];
75
+
// Target ~50KB average per document, with variation from 20KB to 80KB
76
+
const baseSize = 50000;
77
+
78
+
for (let i = 0; i < count; i++) {
79
+
const id = String(i).padStart(4, '0');
80
+
const filename = `doc-${id}.txt`;
81
+
82
+
// Vary document size
83
+
const targetSize = baseSize + Math.floor((Math.random() - 0.5) * 60000);
84
+
const { content, wordCount } = generateDocument(Math.max(targetSize, 20000));
85
+
86
+
await writeFile(join(docsDir, filename), content);
87
+
88
+
documents.push({
89
+
id: `doc-${id}`,
90
+
filename,
91
+
size: content.length,
92
+
wordCount
93
+
});
94
+
95
+
if (onProgress) {
96
+
onProgress(i + 1, count);
97
+
}
98
+
}
99
+
100
+
return documents;
101
+
}
+77
src/generator/images.ts
+77
src/generator/images.ts
···
1
+
import sharp from 'sharp';
2
+
import { mkdir, writeFile } from 'fs/promises';
3
+
import { join } from 'path';
4
+
5
+
export interface ImageInfo {
6
+
id: string;
7
+
filename: string;
8
+
width: number;
9
+
height: number;
10
+
size: number;
11
+
}
12
+
13
+
// Generate random colored noise image
14
+
async function generateRandomImage(width: number, height: number): Promise<Buffer> {
15
+
const channels = 3;
16
+
const pixels = Buffer.alloc(width * height * channels);
17
+
18
+
// Create random colored noise
19
+
for (let i = 0; i < pixels.length; i++) {
20
+
pixels[i] = Math.floor(Math.random() * 256);
21
+
}
22
+
23
+
return sharp(pixels, {
24
+
raw: {
25
+
width,
26
+
height,
27
+
channels
28
+
}
29
+
})
30
+
.png({ compressionLevel: 6 })
31
+
.toBuffer();
32
+
}
33
+
34
+
// Generate images with varying sizes to hit ~900MB total for 1000 images
35
+
// Sizes range from ~500KB to ~1.5MB per image
36
+
function getImageDimensions(index: number): { width: number; height: number } {
37
+
// Vary dimensions to get different file sizes
38
+
const baseSize = 800;
39
+
const variation = Math.sin(index * 0.1) * 400 + 400;
40
+
const width = Math.floor(baseSize + variation);
41
+
const height = Math.floor(baseSize + variation * 0.8);
42
+
return { width, height };
43
+
}
44
+
45
+
export async function generateImages(
46
+
count: number,
47
+
outputDir: string,
48
+
onProgress?: (current: number, total: number) => void
49
+
): Promise<ImageInfo[]> {
50
+
const imagesDir = join(outputDir, 'images');
51
+
await mkdir(imagesDir, { recursive: true });
52
+
53
+
const images: ImageInfo[] = [];
54
+
55
+
for (let i = 0; i < count; i++) {
56
+
const id = String(i).padStart(4, '0');
57
+
const filename = `img-${id}.png`;
58
+
const { width, height } = getImageDimensions(i);
59
+
60
+
const buffer = await generateRandomImage(width, height);
61
+
await writeFile(join(imagesDir, filename), buffer);
62
+
63
+
images.push({
64
+
id: `img-${id}`,
65
+
filename,
66
+
width,
67
+
height,
68
+
size: buffer.length
69
+
});
70
+
71
+
if (onProgress) {
72
+
onProgress(i + 1, count);
73
+
}
74
+
}
75
+
76
+
return images;
77
+
}
+76
src/generator/index.ts
+76
src/generator/index.ts
···
1
+
import { mkdir, writeFile } from 'fs/promises';
2
+
import { join } from 'path';
3
+
import { generateUrls } from './urls.js';
4
+
import { generateImages } from './images.js';
5
+
import { generateDocuments } from './documents.js';
6
+
import { generateMetadata } from './metadata.js';
7
+
8
+
const OUTPUT_DIR = 'test-data';
9
+
10
+
const COUNTS = {
11
+
urls: 10000,
12
+
images: 1000,
13
+
documents: 1000,
14
+
metadata: 100000
15
+
};
16
+
17
+
function formatBytes(bytes: number): string {
18
+
if (bytes < 1024) return `${bytes} B`;
19
+
if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;
20
+
return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
21
+
}
22
+
23
+
function progressBar(current: number, total: number, label: string): void {
24
+
const width = 30;
25
+
const percent = current / total;
26
+
const filled = Math.floor(width * percent);
27
+
const bar = '█'.repeat(filled) + '░'.repeat(width - filled);
28
+
process.stdout.write(`\r${label}: [${bar}] ${current}/${total}`);
29
+
if (current === total) console.log();
30
+
}
31
+
32
+
async function main() {
33
+
console.log('Generating test data...\n');
34
+
await mkdir(OUTPUT_DIR, { recursive: true });
35
+
36
+
// Generate URLs
37
+
console.log(`Generating ${COUNTS.urls} URLs...`);
38
+
const urls = generateUrls(COUNTS.urls);
39
+
const urlsJson = JSON.stringify(urls, null, 2);
40
+
await writeFile(join(OUTPUT_DIR, 'urls.json'), urlsJson);
41
+
console.log(` URLs: ${formatBytes(urlsJson.length)}\n`);
42
+
43
+
// Generate metadata
44
+
console.log(`Generating ${COUNTS.metadata} metadata rows...`);
45
+
const metadata = generateMetadata(COUNTS.metadata);
46
+
const metadataJson = JSON.stringify(metadata, null, 2);
47
+
await writeFile(join(OUTPUT_DIR, 'metadata.json'), metadataJson);
48
+
console.log(` Metadata: ${formatBytes(metadataJson.length)}\n`);
49
+
50
+
// Generate images (slow, show progress)
51
+
console.log(`Generating ${COUNTS.images} images...`);
52
+
const images = await generateImages(COUNTS.images, OUTPUT_DIR, (current, total) => {
53
+
progressBar(current, total, 'Images');
54
+
});
55
+
const totalImageSize = images.reduce((sum, img) => sum + img.size, 0);
56
+
await writeFile(join(OUTPUT_DIR, 'images.json'), JSON.stringify(images, null, 2));
57
+
console.log(` Total image size: ${formatBytes(totalImageSize)}\n`);
58
+
59
+
// Generate documents (show progress)
60
+
console.log(`Generating ${COUNTS.documents} documents...`);
61
+
const documents = await generateDocuments(COUNTS.documents, OUTPUT_DIR, (current, total) => {
62
+
progressBar(current, total, 'Documents');
63
+
});
64
+
const totalDocSize = documents.reduce((sum, doc) => sum + doc.size, 0);
65
+
await writeFile(join(OUTPUT_DIR, 'documents.json'), JSON.stringify(documents, null, 2));
66
+
console.log(` Total document size: ${formatBytes(totalDocSize)}\n`);
67
+
68
+
// Summary
69
+
const totalSize = urlsJson.length + metadataJson.length + totalImageSize + totalDocSize;
70
+
console.log('='.repeat(50));
71
+
console.log('Generation complete!');
72
+
console.log(`Total data size: ${formatBytes(totalSize)}`);
73
+
console.log(`Output directory: ${OUTPUT_DIR}/`);
74
+
}
75
+
76
+
main().catch(console.error);
+57
src/generator/metadata.ts
+57
src/generator/metadata.ts
···
1
+
export interface Metadata {
2
+
id: string;
3
+
key: string;
4
+
value: string | number | boolean;
5
+
category: string;
6
+
timestamp: number;
7
+
}
8
+
9
+
const CATEGORIES = [
10
+
'analytics', 'user', 'system', 'config', 'cache', 'session',
11
+
'event', 'metric', 'log', 'audit', 'preference', 'state'
12
+
];
13
+
14
+
const KEY_PREFIXES = [
15
+
'page_view', 'click', 'session', 'user_action', 'api_call',
16
+
'error', 'warning', 'info', 'debug', 'performance', 'conversion'
17
+
];
18
+
19
+
function randomCategory(): string {
20
+
return CATEGORIES[Math.floor(Math.random() * CATEGORIES.length)];
21
+
}
22
+
23
+
function randomKey(index: number): string {
24
+
const prefix = KEY_PREFIXES[Math.floor(Math.random() * KEY_PREFIXES.length)];
25
+
return `${prefix}_${index % 1000}`;
26
+
}
27
+
28
+
function randomValue(): string | number | boolean {
29
+
const type = Math.floor(Math.random() * 3);
30
+
switch (type) {
31
+
case 0:
32
+
return Math.floor(Math.random() * 10000);
33
+
case 1:
34
+
return Math.random() > 0.5;
35
+
default:
36
+
return `value_${Math.floor(Math.random() * 1000)}`;
37
+
}
38
+
}
39
+
40
+
export function generateMetadata(count: number): Metadata[] {
41
+
const metadata: Metadata[] = [];
42
+
const baseTime = Date.now();
43
+
44
+
for (let i = 0; i < count; i++) {
45
+
const id = String(i).padStart(6, '0');
46
+
47
+
metadata.push({
48
+
id: `meta-${id}`,
49
+
key: randomKey(i),
50
+
value: randomValue(),
51
+
category: randomCategory(),
52
+
timestamp: baseTime - (count - i) * 100
53
+
});
54
+
}
55
+
56
+
return metadata;
57
+
}
+57
src/generator/urls.ts
+57
src/generator/urls.ts
···
1
+
export interface Url {
2
+
id: string;
3
+
url: string;
4
+
title: string;
5
+
createdAt: number;
6
+
tags: string[];
7
+
}
8
+
9
+
const DOMAINS = [
10
+
'example.com', 'test.org', 'demo.net', 'sample.io', 'docs.dev',
11
+
'api.example.com', 'cdn.test.org', 'static.demo.net', 'app.sample.io'
12
+
];
13
+
14
+
const PATHS = [
15
+
'/articles', '/posts', '/docs', '/api', '/users', '/products',
16
+
'/images', '/videos', '/files', '/data', '/reports', '/analytics'
17
+
];
18
+
19
+
const TAGS = [
20
+
'tech', 'news', 'tutorial', 'reference', 'api', 'documentation',
21
+
'blog', 'product', 'marketing', 'support', 'faq', 'guide'
22
+
];
23
+
24
+
function randomChoice<T>(arr: T[]): T {
25
+
return arr[Math.floor(Math.random() * arr.length)];
26
+
}
27
+
28
+
function randomTags(): string[] {
29
+
const count = Math.floor(Math.random() * 4) + 1;
30
+
const tags: string[] = [];
31
+
for (let i = 0; i < count; i++) {
32
+
const tag = randomChoice(TAGS);
33
+
if (!tags.includes(tag)) tags.push(tag);
34
+
}
35
+
return tags;
36
+
}
37
+
38
+
export function generateUrls(count: number): Url[] {
39
+
const urls: Url[] = [];
40
+
const baseTime = Date.now();
41
+
42
+
for (let i = 0; i < count; i++) {
43
+
const domain = randomChoice(DOMAINS);
44
+
const path = randomChoice(PATHS);
45
+
const id = String(i).padStart(5, '0');
46
+
47
+
urls.push({
48
+
id: `url-${id}`,
49
+
url: `https://${domain}${path}/${id}`,
50
+
title: `Page ${id} - ${domain}`,
51
+
createdAt: baseTime - (count - i) * 1000,
52
+
tags: randomTags()
53
+
});
54
+
}
55
+
56
+
return urls;
57
+
}
+198
src/harness/benchmark.ts
+198
src/harness/benchmark.ts
···
1
+
import { performance } from 'perf_hooks';
2
+
import type { DatastoreAdapter, BenchmarkResult, StoreBenchmarkResults, TestData } from './types.js';
3
+
4
+
async function time<T>(fn: () => Promise<T>): Promise<{ result: T; durationMs: number }> {
5
+
const start = performance.now();
6
+
const result = await fn();
7
+
const durationMs = performance.now() - start;
8
+
return { result, durationMs };
9
+
}
10
+
11
+
async function timeWithCatch<T>(
12
+
fn: () => Promise<T>,
13
+
defaultResult: T
14
+
): Promise<{ result: T; durationMs: number; failed: boolean; error?: string }> {
15
+
const start = performance.now();
16
+
try {
17
+
const result = await fn();
18
+
return { result, durationMs: performance.now() - start, failed: false };
19
+
} catch (err) {
20
+
return {
21
+
result: defaultResult,
22
+
durationMs: performance.now() - start,
23
+
failed: true,
24
+
error: err instanceof Error ? err.message : String(err)
25
+
};
26
+
}
27
+
}
28
+
29
+
function randomSample<T>(arr: T[], count: number): T[] {
30
+
const shuffled = [...arr].sort(() => Math.random() - 0.5);
31
+
return shuffled.slice(0, count);
32
+
}
33
+
34
+
function formatDuration(ms: number): string {
35
+
if (ms < 1000) return `${ms.toFixed(0)}ms`;
36
+
if (ms < 60000) return `${(ms / 1000).toFixed(2)}s`;
37
+
return `${(ms / 60000).toFixed(2)}m`;
38
+
}
39
+
40
+
export async function runBenchmarks(
41
+
store: DatastoreAdapter,
42
+
data: TestData,
43
+
onProgress?: (phase: string, durationMs?: number, failed?: boolean, error?: string) => void
44
+
): Promise<StoreBenchmarkResults> {
45
+
const results: StoreBenchmarkResults = {
46
+
storeName: store.name,
47
+
init: {} as BenchmarkResult,
48
+
writes: {} as StoreBenchmarkResults['writes'],
49
+
reads: {} as StoreBenchmarkResults['reads'],
50
+
disk: { totalBytes: 0 }
51
+
};
52
+
53
+
// Initialize store
54
+
onProgress?.('Initializing store...');
55
+
const initResult = await time(() => store.init());
56
+
results.init = {
57
+
name: 'Store initialization',
58
+
durationMs: initResult.durationMs
59
+
};
60
+
onProgress?.('Initialized store', initResult.durationMs);
61
+
62
+
// === WRITE BENCHMARKS ===
63
+
64
+
// Write all URLs
65
+
onProgress?.('Writing URLs...');
66
+
const urlWrite = await timeWithCatch(() => store.addUrls(data.urls), undefined);
67
+
results.writes.allUrls = {
68
+
name: 'Write all URLs',
69
+
durationMs: urlWrite.durationMs,
70
+
itemCount: data.urls.length,
71
+
failed: urlWrite.failed,
72
+
error: urlWrite.error
73
+
};
74
+
onProgress?.('Wrote URLs', urlWrite.durationMs, urlWrite.failed, urlWrite.error);
75
+
76
+
// Write all metadata
77
+
onProgress?.('Writing metadata...');
78
+
const metaWrite = await timeWithCatch(() => store.addMetadata(data.metadata), undefined);
79
+
results.writes.allMetadata = {
80
+
name: 'Write all metadata',
81
+
durationMs: metaWrite.durationMs,
82
+
itemCount: data.metadata.length,
83
+
failed: metaWrite.failed,
84
+
error: metaWrite.error
85
+
};
86
+
onProgress?.('Wrote metadata', metaWrite.durationMs, metaWrite.failed, metaWrite.error);
87
+
88
+
// Write all images
89
+
onProgress?.('Writing images...');
90
+
let totalImageBytes = 0;
91
+
let imagesFailed = false;
92
+
let imagesError: string | undefined;
93
+
const imageWriteStart = performance.now();
94
+
try {
95
+
for (const img of data.images) {
96
+
await store.addImage(img.id, img.data);
97
+
totalImageBytes += img.data.length;
98
+
}
99
+
} catch (err) {
100
+
imagesFailed = true;
101
+
imagesError = err instanceof Error ? err.message : String(err);
102
+
}
103
+
const imageWriteDuration = performance.now() - imageWriteStart;
104
+
results.writes.allImages = {
105
+
name: 'Write all images',
106
+
durationMs: imageWriteDuration,
107
+
itemCount: data.images.length,
108
+
bytesProcessed: totalImageBytes,
109
+
failed: imagesFailed,
110
+
error: imagesError
111
+
};
112
+
onProgress?.('Wrote images', imageWriteDuration, imagesFailed, imagesError);
113
+
114
+
// Write all documents
115
+
onProgress?.('Writing documents...');
116
+
let totalDocBytes = 0;
117
+
let docsFailed = false;
118
+
let docsError: string | undefined;
119
+
const docWriteStart = performance.now();
120
+
try {
121
+
for (const doc of data.documents) {
122
+
await store.addDocument(doc.id, doc.content);
123
+
totalDocBytes += doc.content.length;
124
+
}
125
+
} catch (err) {
126
+
docsFailed = true;
127
+
docsError = err instanceof Error ? err.message : String(err);
128
+
}
129
+
const docWriteDuration = performance.now() - docWriteStart;
130
+
results.writes.allDocuments = {
131
+
name: 'Write all documents',
132
+
durationMs: docWriteDuration,
133
+
itemCount: data.documents.length,
134
+
bytesProcessed: totalDocBytes,
135
+
failed: docsFailed,
136
+
error: docsError
137
+
};
138
+
onProgress?.('Wrote documents', docWriteDuration, docsFailed, docsError);
139
+
140
+
// === READ BENCHMARKS ===
141
+
142
+
// Read recent 100 URLs
143
+
onProgress?.('Reading recent URLs...');
144
+
const urlRead = await timeWithCatch(() => store.getRecentUrls(100), []);
145
+
results.reads.recentUrls = {
146
+
name: 'Read recent 100 URLs',
147
+
durationMs: urlRead.durationMs,
148
+
itemCount: urlRead.result.length,
149
+
failed: urlRead.failed,
150
+
error: urlRead.error
151
+
};
152
+
onProgress?.('Read URLs', urlRead.durationMs, urlRead.failed, urlRead.error);
153
+
154
+
// Read 10 random images
155
+
onProgress?.('Reading random images...');
156
+
const randomImageIds = randomSample(data.images, 10).map(img => img.id);
157
+
const imageRead = await timeWithCatch(() => store.getImages(randomImageIds), new Map());
158
+
let readImageBytes = 0;
159
+
imageRead.result.forEach(buf => { readImageBytes += buf.length; });
160
+
results.reads.randomImages = {
161
+
name: 'Read 10 random images',
162
+
durationMs: imageRead.durationMs,
163
+
itemCount: imageRead.result.size,
164
+
bytesProcessed: readImageBytes,
165
+
failed: imageRead.failed,
166
+
error: imageRead.error
167
+
};
168
+
onProgress?.('Read images', imageRead.durationMs, imageRead.failed, imageRead.error);
169
+
170
+
// Read 1000 random documents
171
+
onProgress?.('Reading random documents...');
172
+
const randomDocIds = randomSample(data.documents, 1000).map(doc => doc.id);
173
+
const docRead = await timeWithCatch(() => store.getDocuments(randomDocIds), new Map());
174
+
let readDocBytes = 0;
175
+
docRead.result.forEach(content => { readDocBytes += content.length; });
176
+
results.reads.randomDocuments = {
177
+
name: 'Read 1000 random documents',
178
+
durationMs: docRead.durationMs,
179
+
itemCount: docRead.result.size,
180
+
bytesProcessed: readDocBytes,
181
+
failed: docRead.failed,
182
+
error: docRead.error
183
+
};
184
+
onProgress?.('Read documents', docRead.durationMs, docRead.failed, docRead.error);
185
+
186
+
// === DISK USAGE ===
187
+
onProgress?.('Measuring disk usage...');
188
+
const diskResult = await time(() => store.getDiskUsage());
189
+
results.disk.totalBytes = diskResult.result;
190
+
onProgress?.('Measured disk usage', diskResult.durationMs);
191
+
192
+
// Cleanup
193
+
onProgress?.('Cleaning up...');
194
+
const cleanupResult = await time(() => store.cleanup());
195
+
onProgress?.('Cleaned up', cleanupResult.durationMs);
196
+
197
+
return results;
198
+
}
+571
src/harness/chart.ts
+571
src/harness/chart.ts
···
1
+
import * as vega from 'vega';
2
+
import * as vegaLite from 'vega-lite';
3
+
import sharp from 'sharp';
4
+
import { writeFile, mkdir } from 'fs/promises';
5
+
import { join } from 'path';
6
+
import type { StoreBenchmarkResults, BenchmarkResult } from './types.js';
7
+
8
+
const WIDTH = 700;
9
+
const HEIGHT = 400;
10
+
11
+
const COLORS = ['#3498db', '#e74c3c', '#2ecc71', '#f39c12', '#9b59b6'];
12
+
13
+
function formatBytes(bytes: number): string {
14
+
if (bytes < 1024) return `${bytes} B`;
15
+
if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;
16
+
if (bytes < 1024 * 1024 * 1024) return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
17
+
return `${(bytes / (1024 * 1024 * 1024)).toFixed(2)} GB`;
18
+
}
19
+
20
+
function formatResultForHtml(b: BenchmarkResult, formatter: (ms: number) => string): string {
21
+
if (b.failed) return `<span class="failed">FAILED</span>`;
22
+
return formatter(b.durationMs);
23
+
}
24
+
25
+
async function renderVegaLiteChart(spec: any): Promise<Buffer> {
26
+
const vegaSpec = vegaLite.compile(spec).spec;
27
+
const view = new vega.View(vega.parse(vegaSpec), { renderer: 'none' });
28
+
const svg = await view.toSVG();
29
+
// Convert SVG to PNG using sharp
30
+
return await sharp(Buffer.from(svg)).png().toBuffer();
31
+
}
32
+
33
+
export async function generateCharts(
34
+
results: StoreBenchmarkResults[],
35
+
outputDir: string
36
+
): Promise<string[]> {
37
+
await mkdir(outputDir, { recursive: true });
38
+
39
+
const generatedFiles: string[] = [];
40
+
41
+
const storeNames = results.map(r => r.storeName);
42
+
43
+
// Time-based metrics data
44
+
const timeData: any[] = [];
45
+
const timeMetrics = [
46
+
{ label: 'Init', get: (r: StoreBenchmarkResults) => r.init },
47
+
{ label: 'Write URLs', get: (r: StoreBenchmarkResults) => r.writes.allUrls },
48
+
{ label: 'Write Metadata', get: (r: StoreBenchmarkResults) => r.writes.allMetadata },
49
+
{ label: 'Write Images', get: (r: StoreBenchmarkResults) => r.writes.allImages },
50
+
{ label: 'Write Docs', get: (r: StoreBenchmarkResults) => r.writes.allDocuments },
51
+
{ label: 'Read URLs', get: (r: StoreBenchmarkResults) => r.reads.recentUrls },
52
+
{ label: 'Read Images', get: (r: StoreBenchmarkResults) => r.reads.randomImages },
53
+
{ label: 'Read Docs', get: (r: StoreBenchmarkResults) => r.reads.randomDocuments },
54
+
];
55
+
56
+
for (const metric of timeMetrics) {
57
+
for (const r of results) {
58
+
const b = metric.get(r);
59
+
if (!b.failed) {
60
+
timeData.push({
61
+
metric: metric.label,
62
+
store: r.storeName,
63
+
value: b.durationMs
64
+
});
65
+
}
66
+
}
67
+
}
68
+
69
+
// Generate timing comparison chart
70
+
const timeSpec = {
71
+
$schema: 'https://vega.github.io/schema/vega-lite/v5.json',
72
+
width: WIDTH,
73
+
height: HEIGHT,
74
+
title: { text: 'Benchmark Timing Comparison', fontSize: 18 },
75
+
data: { values: timeData },
76
+
mark: 'bar',
77
+
encoding: {
78
+
x: {
79
+
field: 'metric',
80
+
type: 'nominal',
81
+
title: null,
82
+
axis: { labelAngle: -45, labelFontSize: 11 },
83
+
sort: timeMetrics.map(m => m.label)
84
+
},
85
+
y: {
86
+
field: 'value',
87
+
type: 'quantitative',
88
+
title: 'Duration (ms)',
89
+
axis: { titleFontSize: 12, labelFontSize: 11 }
90
+
},
91
+
xOffset: { field: 'store', type: 'nominal' },
92
+
color: {
93
+
field: 'store',
94
+
type: 'nominal',
95
+
title: 'Store',
96
+
scale: { range: COLORS.slice(0, storeNames.length) },
97
+
legend: { titleFontSize: 12, labelFontSize: 11 }
98
+
}
99
+
},
100
+
config: {
101
+
background: 'white',
102
+
view: { stroke: null }
103
+
}
104
+
};
105
+
106
+
const timeChartBuffer = await renderVegaLiteChart(timeSpec);
107
+
const timeChartPath = join(outputDir, 'timing-comparison.png');
108
+
await writeFile(timeChartPath, timeChartBuffer);
109
+
generatedFiles.push(timeChartPath);
110
+
111
+
// Generate disk usage comparison chart
112
+
const diskData = results.map(r => ({
113
+
store: r.storeName,
114
+
value: r.disk.totalBytes / (1024 * 1024)
115
+
}));
116
+
117
+
const diskSpec = {
118
+
$schema: 'https://vega.github.io/schema/vega-lite/v5.json',
119
+
width: WIDTH,
120
+
height: HEIGHT,
121
+
title: { text: 'Disk Usage Comparison', fontSize: 18 },
122
+
data: { values: diskData },
123
+
mark: 'bar',
124
+
encoding: {
125
+
x: {
126
+
field: 'store',
127
+
type: 'nominal',
128
+
title: null,
129
+
axis: { labelFontSize: 12 }
130
+
},
131
+
y: {
132
+
field: 'value',
133
+
type: 'quantitative',
134
+
title: 'Size (MB)',
135
+
axis: { titleFontSize: 12, labelFontSize: 11 }
136
+
},
137
+
color: {
138
+
field: 'store',
139
+
type: 'nominal',
140
+
scale: { range: COLORS.slice(0, storeNames.length) },
141
+
legend: null
142
+
}
143
+
},
144
+
config: {
145
+
background: 'white',
146
+
view: { stroke: null }
147
+
}
148
+
};
149
+
150
+
const diskChartBuffer = await renderVegaLiteChart(diskSpec);
151
+
const diskChartPath = join(outputDir, 'disk-comparison.png');
152
+
await writeFile(diskChartPath, diskChartBuffer);
153
+
generatedFiles.push(diskChartPath);
154
+
155
+
// Generate write performance chart
156
+
const writeData: any[] = [];
157
+
const writeMetrics = [
158
+
{ label: 'URLs', get: (r: StoreBenchmarkResults) => r.writes.allUrls },
159
+
{ label: 'Metadata', get: (r: StoreBenchmarkResults) => r.writes.allMetadata },
160
+
{ label: 'Images', get: (r: StoreBenchmarkResults) => r.writes.allImages },
161
+
{ label: 'Documents', get: (r: StoreBenchmarkResults) => r.writes.allDocuments },
162
+
];
163
+
164
+
for (const metric of writeMetrics) {
165
+
for (const r of results) {
166
+
const b = metric.get(r);
167
+
if (!b.failed) {
168
+
writeData.push({
169
+
metric: metric.label,
170
+
store: r.storeName,
171
+
value: b.durationMs / 1000
172
+
});
173
+
}
174
+
}
175
+
}
176
+
177
+
const writeSpec = {
178
+
$schema: 'https://vega.github.io/schema/vega-lite/v5.json',
179
+
width: WIDTH,
180
+
height: HEIGHT,
181
+
title: { text: 'Write Performance Comparison', fontSize: 18 },
182
+
data: { values: writeData },
183
+
mark: 'bar',
184
+
encoding: {
185
+
x: {
186
+
field: 'metric',
187
+
type: 'nominal',
188
+
title: null,
189
+
axis: { labelFontSize: 12 },
190
+
sort: writeMetrics.map(m => m.label)
191
+
},
192
+
y: {
193
+
field: 'value',
194
+
type: 'quantitative',
195
+
title: 'Duration (seconds)',
196
+
axis: { titleFontSize: 12, labelFontSize: 11 }
197
+
},
198
+
xOffset: { field: 'store', type: 'nominal' },
199
+
color: {
200
+
field: 'store',
201
+
type: 'nominal',
202
+
title: 'Store',
203
+
scale: { range: COLORS.slice(0, storeNames.length) },
204
+
legend: { titleFontSize: 12, labelFontSize: 11 }
205
+
}
206
+
},
207
+
config: {
208
+
background: 'white',
209
+
view: { stroke: null }
210
+
}
211
+
};
212
+
213
+
const writeChartBuffer = await renderVegaLiteChart(writeSpec);
214
+
const writeChartPath = join(outputDir, 'write-comparison.png');
215
+
await writeFile(writeChartPath, writeChartBuffer);
216
+
generatedFiles.push(writeChartPath);
217
+
218
+
// Generate read performance chart
219
+
const readData: any[] = [];
220
+
const readMetrics = [
221
+
{ label: 'URLs (100)', get: (r: StoreBenchmarkResults) => r.reads.recentUrls },
222
+
{ label: 'Images (10)', get: (r: StoreBenchmarkResults) => r.reads.randomImages },
223
+
{ label: 'Docs (1000)', get: (r: StoreBenchmarkResults) => r.reads.randomDocuments },
224
+
];
225
+
226
+
for (const metric of readMetrics) {
227
+
for (const r of results) {
228
+
const b = metric.get(r);
229
+
if (!b.failed) {
230
+
readData.push({
231
+
metric: metric.label,
232
+
store: r.storeName,
233
+
value: b.durationMs
234
+
});
235
+
}
236
+
}
237
+
}
238
+
239
+
const readSpec = {
240
+
$schema: 'https://vega.github.io/schema/vega-lite/v5.json',
241
+
width: WIDTH,
242
+
height: HEIGHT,
243
+
title: { text: 'Read Performance Comparison', fontSize: 18 },
244
+
data: { values: readData },
245
+
mark: 'bar',
246
+
encoding: {
247
+
x: {
248
+
field: 'metric',
249
+
type: 'nominal',
250
+
title: null,
251
+
axis: { labelFontSize: 12 },
252
+
sort: readMetrics.map(m => m.label)
253
+
},
254
+
y: {
255
+
field: 'value',
256
+
type: 'quantitative',
257
+
title: 'Duration (ms)',
258
+
axis: { titleFontSize: 12, labelFontSize: 11 }
259
+
},
260
+
xOffset: { field: 'store', type: 'nominal' },
261
+
color: {
262
+
field: 'store',
263
+
type: 'nominal',
264
+
title: 'Store',
265
+
scale: { range: COLORS.slice(0, storeNames.length) },
266
+
legend: { titleFontSize: 12, labelFontSize: 11 }
267
+
}
268
+
},
269
+
config: {
270
+
background: 'white',
271
+
view: { stroke: null }
272
+
}
273
+
};
274
+
275
+
const readChartBuffer = await renderVegaLiteChart(readSpec);
276
+
const readChartPath = join(outputDir, 'read-comparison.png');
277
+
await writeFile(readChartPath, readChartBuffer);
278
+
generatedFiles.push(readChartPath);
279
+
280
+
// Generate HTML report
281
+
const htmlPath = join(outputDir, 'report.html');
282
+
const html = generateHtmlReport(results, generatedFiles);
283
+
await writeFile(htmlPath, html);
284
+
generatedFiles.push(htmlPath);
285
+
286
+
return generatedFiles;
287
+
}
288
+
289
+
// Get metric value for comparison (returns null for failed)
290
+
function getMetricValue(b: BenchmarkResult): number | null {
291
+
return b.failed ? null : b.durationMs;
292
+
}
293
+
294
+
// Find best/worst indices for a metric (lower is better)
295
+
function findBestWorst(values: (number | null)[]): { best: number; worst: number } {
296
+
let best = -1, worst = -1;
297
+
let bestVal = Infinity, worstVal = -Infinity;
298
+
299
+
for (let i = 0; i < values.length; i++) {
300
+
const v = values[i];
301
+
if (v === null) continue;
302
+
if (v < bestVal) { bestVal = v; best = i; }
303
+
if (v > worstVal) { worstVal = v; worst = i; }
304
+
}
305
+
return { best, worst };
306
+
}
307
+
308
+
function generateHtmlReport(
309
+
results: StoreBenchmarkResults[],
310
+
chartFiles: string[]
311
+
): string {
312
+
const storeNames = results.map(r => r.storeName).join(' vs ');
313
+
const chartImages = chartFiles
314
+
.filter(f => f.endsWith('.png'))
315
+
.map(f => f.split('/').pop())
316
+
.map(filename => `
317
+
<div class="chart">
318
+
<img src="${filename}" alt="${filename}">
319
+
</div>
320
+
`)
321
+
.join('\n');
322
+
323
+
// Define metrics for the table
324
+
const metrics = [
325
+
{ label: 'Init', get: (r: StoreBenchmarkResults) => r.init, format: (ms: number) => `${ms.toFixed(0)}ms` },
326
+
{ label: 'Write URLs', get: (r: StoreBenchmarkResults) => r.writes.allUrls, format: (ms: number) => `${(ms / 1000).toFixed(2)}s` },
327
+
{ label: 'Write Meta', get: (r: StoreBenchmarkResults) => r.writes.allMetadata, format: (ms: number) => `${(ms / 1000).toFixed(2)}s` },
328
+
{ label: 'Write Imgs', get: (r: StoreBenchmarkResults) => r.writes.allImages, format: (ms: number) => `${(ms / 1000).toFixed(2)}s` },
329
+
{ label: 'Write Docs', get: (r: StoreBenchmarkResults) => r.writes.allDocuments, format: (ms: number) => `${(ms / 1000).toFixed(2)}s` },
330
+
{ label: 'Read URLs', get: (r: StoreBenchmarkResults) => r.reads.recentUrls, format: (ms: number) => `${ms.toFixed(0)}ms` },
331
+
{ label: 'Read Imgs', get: (r: StoreBenchmarkResults) => r.reads.randomImages, format: (ms: number) => `${ms.toFixed(0)}ms` },
332
+
{ label: 'Read Docs', get: (r: StoreBenchmarkResults) => r.reads.randomDocuments, format: (ms: number) => `${ms.toFixed(0)}ms` },
333
+
];
334
+
335
+
// Find best/worst for each metric
336
+
const rankings = metrics.map(m => {
337
+
const values = results.map(r => getMetricValue(m.get(r)));
338
+
return findBestWorst(values);
339
+
});
340
+
341
+
// Find best/worst for disk (separate since it's bytes not BenchmarkResult)
342
+
const diskValues = results.map(r => r.disk.totalBytes);
343
+
const diskRanking = findBestWorst(diskValues);
344
+
345
+
// Build table rows with color coding
346
+
const tableRows = results.map((r, storeIdx) => {
347
+
const cells = metrics.map((m, metricIdx) => {
348
+
const b = m.get(r);
349
+
const rank = rankings[metricIdx];
350
+
let cssClass = '';
351
+
if (storeIdx === rank.best) cssClass = 'best';
352
+
else if (storeIdx === rank.worst && rank.best !== rank.worst) cssClass = 'worst';
353
+
354
+
if (b.failed) return `<td class="failed">FAILED</td>`;
355
+
return `<td class="${cssClass}">${m.format(b.durationMs)}</td>`;
356
+
});
357
+
358
+
// Disk cell
359
+
let diskClass = '';
360
+
if (storeIdx === diskRanking.best) diskClass = 'best';
361
+
else if (storeIdx === diskRanking.worst && diskRanking.best !== diskRanking.worst) diskClass = 'worst';
362
+
363
+
return `
364
+
<tr>
365
+
<td><strong>${r.storeName}</strong></td>
366
+
${cells.join('\n ')}
367
+
<td class="${diskClass}">${formatBytes(r.disk.totalBytes)}</td>
368
+
</tr>`;
369
+
}).join('\n');
370
+
371
+
return `<!DOCTYPE html>
372
+
<html lang="en">
373
+
<head>
374
+
<meta charset="UTF-8">
375
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
376
+
<title>Benchmark Results - ${storeNames}</title>
377
+
<style>
378
+
* {
379
+
box-sizing: border-box;
380
+
}
381
+
body {
382
+
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, sans-serif;
383
+
max-width: 1400px;
384
+
margin: 0 auto;
385
+
padding: 20px;
386
+
background: #f5f5f5;
387
+
color: #333;
388
+
}
389
+
h1 {
390
+
text-align: center;
391
+
color: #2c3e50;
392
+
margin-bottom: 10px;
393
+
}
394
+
.timestamp {
395
+
text-align: center;
396
+
color: #7f8c8d;
397
+
margin-bottom: 30px;
398
+
}
399
+
.summary {
400
+
background: white;
401
+
border-radius: 8px;
402
+
padding: 20px;
403
+
margin-bottom: 30px;
404
+
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
405
+
overflow-x: auto;
406
+
}
407
+
table {
408
+
width: 100%;
409
+
border-collapse: collapse;
410
+
font-size: 14px;
411
+
}
412
+
th, td {
413
+
padding: 12px 8px;
414
+
text-align: right;
415
+
border-bottom: 1px solid #eee;
416
+
}
417
+
th {
418
+
background: #f8f9fa;
419
+
font-weight: 600;
420
+
color: #2c3e50;
421
+
}
422
+
td:first-child, th:first-child {
423
+
text-align: left;
424
+
}
425
+
tr:hover {
426
+
background: #f8f9fa;
427
+
}
428
+
.failed {
429
+
color: #e74c3c;
430
+
font-weight: 600;
431
+
}
432
+
.best {
433
+
background: #d5f4e6;
434
+
color: #1e7e34;
435
+
font-weight: 600;
436
+
}
437
+
.worst {
438
+
background: #fde2e2;
439
+
color: #c0392b;
440
+
}
441
+
.dataset-info {
442
+
background: white;
443
+
border-radius: 8px;
444
+
padding: 20px;
445
+
margin-bottom: 30px;
446
+
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
447
+
}
448
+
.dataset-info h2 {
449
+
margin-top: 0;
450
+
}
451
+
.dataset-info ul {
452
+
margin: 0;
453
+
padding-left: 20px;
454
+
}
455
+
.dataset-info li {
456
+
margin-bottom: 8px;
457
+
}
458
+
.test-description {
459
+
display: grid;
460
+
grid-template-columns: 1fr 1fr;
461
+
gap: 20px;
462
+
margin-top: 15px;
463
+
}
464
+
.test-description h3 {
465
+
margin: 0 0 10px 0;
466
+
color: #2c3e50;
467
+
font-size: 14px;
468
+
}
469
+
.test-description ul {
470
+
margin: 0;
471
+
font-size: 13px;
472
+
}
473
+
@media (max-width: 600px) {
474
+
.test-description {
475
+
grid-template-columns: 1fr;
476
+
}
477
+
}
478
+
.charts {
479
+
display: grid;
480
+
grid-template-columns: 1fr;
481
+
gap: 20px;
482
+
}
483
+
.chart {
484
+
background: white;
485
+
border-radius: 8px;
486
+
padding: 20px;
487
+
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
488
+
text-align: center;
489
+
}
490
+
.chart img {
491
+
max-width: 100%;
492
+
height: auto;
493
+
}
494
+
@media (min-width: 1200px) {
495
+
.charts {
496
+
grid-template-columns: 1fr 1fr;
497
+
}
498
+
}
499
+
</style>
500
+
</head>
501
+
<body>
502
+
<h1>Datastore Benchmark Results</h1>
503
+
<p class="timestamp">${storeNames} - ${new Date().toLocaleString()}</p>
504
+
505
+
<div class="dataset-info">
506
+
<h2>About This Benchmark</h2>
507
+
<p>This benchmark compares local datastore performance using a ~1GB test dataset. Each test is run <strong>10 times</strong> per store, with the highest and lowest scores discarded. The <strong>median</strong> of the remaining 8 runs is reported.</p>
508
+
<h3 style="margin-top: 20px; margin-bottom: 10px;">Test Dataset</h3>
509
+
<ul>
510
+
<li><strong>10,000 URLs</strong> - Bookmarks with title, URL, tags, and timestamp</li>
511
+
<li><strong>100,000 metadata rows</strong> - Key-value pairs with categories</li>
512
+
<li><strong>1,000 images</strong> - Random PNG images (~1MB each)</li>
513
+
<li><strong>1,000 documents</strong> - Text documents (~10KB each)</li>
514
+
</ul>
515
+
<div class="test-description">
516
+
<div>
517
+
<h3>Write Tests</h3>
518
+
<ul>
519
+
<li><strong>Init</strong> - Initialize/create the datastore</li>
520
+
<li><strong>Write URLs</strong> - Insert all 10,000 URL records</li>
521
+
<li><strong>Write Metadata</strong> - Insert all 100,000 metadata rows</li>
522
+
<li><strong>Write Images</strong> - Store all 1,000 image blobs</li>
523
+
<li><strong>Write Documents</strong> - Store all 1,000 text documents</li>
524
+
</ul>
525
+
</div>
526
+
<div>
527
+
<h3>Read Tests</h3>
528
+
<ul>
529
+
<li><strong>Read URLs</strong> - Fetch 100 most recent URLs (sorted by date)</li>
530
+
<li><strong>Read Images</strong> - Retrieve 10 random images by ID</li>
531
+
<li><strong>Read Documents</strong> - Retrieve 1,000 random documents by ID</li>
532
+
<li><strong>Disk Usage</strong> - Total storage size after all writes</li>
533
+
</ul>
534
+
</div>
535
+
</div>
536
+
<p style="margin-top: 15px; font-size: 13px; color: #7f8c8d;">
537
+
<strong>Note:</strong> Lower values are better for all metrics.
538
+
<span class="best" style="padding: 2px 6px; border-radius: 3px;">Green</span> = best,
539
+
<span class="worst" style="padding: 2px 6px; border-radius: 3px;">Red</span> = worst.
540
+
</p>
541
+
</div>
542
+
543
+
<div class="summary">
544
+
<h2>Summary</h2>
545
+
<table>
546
+
<thead>
547
+
<tr>
548
+
<th>Store</th>
549
+
<th>Init</th>
550
+
<th>Write URLs</th>
551
+
<th>Write Meta</th>
552
+
<th>Write Imgs</th>
553
+
<th>Write Docs</th>
554
+
<th>Read URLs</th>
555
+
<th>Read Imgs</th>
556
+
<th>Read Docs</th>
557
+
<th>Disk</th>
558
+
</tr>
559
+
</thead>
560
+
<tbody>
561
+
${tableRows}
562
+
</tbody>
563
+
</table>
564
+
</div>
565
+
566
+
<div class="charts">
567
+
${chartImages}
568
+
</div>
569
+
</body>
570
+
</html>`;
571
+
}
+129
src/harness/reporter.ts
+129
src/harness/reporter.ts
···
1
+
import { writeFile, mkdir } from 'fs/promises';
2
+
import { join } from 'path';
3
+
import type { StoreBenchmarkResults, BenchmarkResult } from './types.js';
4
+
5
+
function formatDuration(ms: number): string {
6
+
if (ms < 1000) return `${ms.toFixed(0)}ms`;
7
+
if (ms < 60000) return `${(ms / 1000).toFixed(2)}s`;
8
+
return `${(ms / 60000).toFixed(2)}m`;
9
+
}
10
+
11
+
function formatBytes(bytes: number): string {
12
+
if (bytes < 1024) return `${bytes} B`;
13
+
if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;
14
+
if (bytes < 1024 * 1024 * 1024) return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
15
+
return `${(bytes / (1024 * 1024 * 1024)).toFixed(2)} GB`;
16
+
}
17
+
18
+
function formatThroughput(bytes: number, ms: number): string {
19
+
const bytesPerSec = (bytes / ms) * 1000;
20
+
return `${formatBytes(bytesPerSec)}/s`;
21
+
}
22
+
23
+
function padRight(str: string, len: number): string {
24
+
return str.length >= len ? str : str + ' '.repeat(len - str.length);
25
+
}
26
+
27
+
function padLeft(str: string, len: number): string {
28
+
return str.length >= len ? str : ' '.repeat(len - str.length) + str;
29
+
}
30
+
31
+
function printBenchmark(b: BenchmarkResult, indent = ''): void {
32
+
if (b.failed) {
33
+
console.log(`${indent}${padRight(b.name, 30)} ${padLeft('FAILED', 10)} ${b.error || 'Unknown error'}`);
34
+
return;
35
+
}
36
+
let line = `${indent}${padRight(b.name, 30)} ${padLeft(formatDuration(b.durationMs), 10)}`;
37
+
if (b.itemCount !== undefined) {
38
+
line += ` (${b.itemCount} items)`;
39
+
}
40
+
if (b.bytesProcessed !== undefined) {
41
+
line += ` ${formatBytes(b.bytesProcessed)}`;
42
+
line += ` @ ${formatThroughput(b.bytesProcessed, b.durationMs)}`;
43
+
}
44
+
console.log(line);
45
+
}
46
+
47
+
function formatResultOrFailed(b: BenchmarkResult, formatter: (b: BenchmarkResult) => string): string {
48
+
if (b.failed) return 'FAILED';
49
+
return formatter(b);
50
+
}
51
+
52
+
export function printResults(results: StoreBenchmarkResults[]): void {
53
+
console.log('\n' + '='.repeat(80));
54
+
console.log('BENCHMARK RESULTS');
55
+
console.log('='.repeat(80));
56
+
57
+
for (const r of results) {
58
+
console.log(`\n${'─'.repeat(80)}`);
59
+
console.log(`Store: ${r.storeName}`);
60
+
console.log('─'.repeat(80));
61
+
62
+
console.log('\nINIT:');
63
+
printBenchmark(r.init, ' ');
64
+
65
+
console.log('\nWRITES:');
66
+
printBenchmark(r.writes.allUrls, ' ');
67
+
printBenchmark(r.writes.allMetadata, ' ');
68
+
printBenchmark(r.writes.allImages, ' ');
69
+
printBenchmark(r.writes.allDocuments, ' ');
70
+
71
+
console.log('\nREADS:');
72
+
printBenchmark(r.reads.recentUrls, ' ');
73
+
printBenchmark(r.reads.randomImages, ' ');
74
+
printBenchmark(r.reads.randomDocuments, ' ');
75
+
76
+
console.log('\nDISK:');
77
+
console.log(` Total storage: ${formatBytes(r.disk.totalBytes)}`);
78
+
}
79
+
80
+
// Comparison table if multiple stores
81
+
if (results.length > 1) {
82
+
console.log('\n' + '='.repeat(80));
83
+
console.log('COMPARISON');
84
+
console.log('='.repeat(80));
85
+
86
+
const headers = ['Metric', ...results.map(r => r.storeName)];
87
+
const colWidth = 15;
88
+
89
+
console.log('\n' + headers.map(h => padRight(h, colWidth)).join(' │ '));
90
+
console.log('─'.repeat(colWidth * headers.length + (headers.length - 1) * 3));
91
+
92
+
const metrics = [
93
+
{ name: 'Init', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.init, b => formatDuration(b.durationMs)) },
94
+
{ name: 'Write URLs', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.writes.allUrls, b => formatDuration(b.durationMs)) },
95
+
{ name: 'Write metadata', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.writes.allMetadata, b => formatDuration(b.durationMs)) },
96
+
{ name: 'Write images', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.writes.allImages, b => formatDuration(b.durationMs)) },
97
+
{ name: 'Write docs', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.writes.allDocuments, b => formatDuration(b.durationMs)) },
98
+
{ name: 'Read URLs', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.reads.recentUrls, b => formatDuration(b.durationMs)) },
99
+
{ name: 'Read images', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.reads.randomImages, b => formatDuration(b.durationMs)) },
100
+
{ name: 'Read docs', get: (r: StoreBenchmarkResults) => formatResultOrFailed(r.reads.randomDocuments, b => formatDuration(b.durationMs)) },
101
+
{ name: 'Disk usage', get: (r: StoreBenchmarkResults) => formatBytes(r.disk.totalBytes) },
102
+
];
103
+
104
+
for (const metric of metrics) {
105
+
const row = [padRight(metric.name, colWidth), ...results.map(r => padRight(metric.get(r), colWidth))];
106
+
console.log(row.join(' │ '));
107
+
}
108
+
}
109
+
110
+
console.log('\n');
111
+
}
112
+
113
+
export async function saveResults(results: StoreBenchmarkResults[], baseDir = 'results'): Promise<string> {
114
+
const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
115
+
const runDir = join(baseDir, `benchmark-${timestamp}`);
116
+
117
+
await mkdir(runDir, { recursive: true });
118
+
119
+
await writeFile(
120
+
join(runDir, 'results.json'),
121
+
JSON.stringify({
122
+
timestamp: new Date().toISOString(),
123
+
results
124
+
}, null, 2)
125
+
);
126
+
127
+
console.log(`Results saved to ${runDir}/results.json`);
128
+
return runDir;
129
+
}
+59
src/harness/types.ts
+59
src/harness/types.ts
···
1
+
import type { Url } from '../generator/urls.js';
2
+
import type { Metadata } from '../generator/metadata.js';
3
+
4
+
export interface DatastoreAdapter {
5
+
name: string;
6
+
7
+
// Lifecycle
8
+
init(): Promise<void>;
9
+
cleanup(): Promise<void>;
10
+
11
+
// Writes
12
+
addUrls(urls: Url[]): Promise<void>;
13
+
addImage(id: string, data: Buffer): Promise<void>;
14
+
addDocument(id: string, content: string): Promise<void>;
15
+
addMetadata(rows: Metadata[]): Promise<void>;
16
+
17
+
// Reads
18
+
getRecentUrls(count: number): Promise<Url[]>;
19
+
getImages(ids: string[]): Promise<Map<string, Buffer>>;
20
+
getDocuments(ids: string[]): Promise<Map<string, string>>;
21
+
22
+
// Disk
23
+
getDiskUsage(): Promise<number>;
24
+
}
25
+
26
+
export interface BenchmarkResult {
27
+
name: string;
28
+
durationMs: number;
29
+
itemCount?: number;
30
+
bytesProcessed?: number;
31
+
failed?: boolean;
32
+
error?: string;
33
+
}
34
+
35
+
export interface StoreBenchmarkResults {
36
+
storeName: string;
37
+
init: BenchmarkResult;
38
+
writes: {
39
+
allUrls: BenchmarkResult;
40
+
allImages: BenchmarkResult;
41
+
allDocuments: BenchmarkResult;
42
+
allMetadata: BenchmarkResult;
43
+
};
44
+
reads: {
45
+
recentUrls: BenchmarkResult;
46
+
randomImages: BenchmarkResult;
47
+
randomDocuments: BenchmarkResult;
48
+
};
49
+
disk: {
50
+
totalBytes: number;
51
+
};
52
+
}
53
+
54
+
export interface TestData {
55
+
urls: Url[];
56
+
metadata: Metadata[];
57
+
images: Array<{ id: string; filename: string; data: Buffer }>;
58
+
documents: Array<{ id: string; filename: string; content: string }>;
59
+
}
+54
src/regenerate-charts.ts
+54
src/regenerate-charts.ts
···
1
+
import { readFile, readdir, stat } from 'fs/promises';
2
+
import { join } from 'path';
3
+
import { generateCharts } from './harness/chart.js';
4
+
import type { StoreBenchmarkResults } from './harness/types.js';
5
+
6
+
const RESULTS_DIR = 'results';
7
+
8
+
async function main() {
9
+
const args = process.argv.slice(2);
10
+
let runDir: string;
11
+
12
+
if (args[0]) {
13
+
runDir = args[0];
14
+
} else {
15
+
// Find most recent benchmark directory
16
+
const entries = await readdir(RESULTS_DIR);
17
+
const dirs: string[] = [];
18
+
19
+
for (const entry of entries) {
20
+
const path = join(RESULTS_DIR, entry);
21
+
const s = await stat(path);
22
+
if (s.isDirectory() && entry.startsWith('benchmark-')) {
23
+
dirs.push(entry);
24
+
}
25
+
}
26
+
27
+
dirs.sort().reverse();
28
+
29
+
if (dirs.length === 0) {
30
+
console.error('No benchmark results found in results/');
31
+
process.exit(1);
32
+
}
33
+
34
+
runDir = join(RESULTS_DIR, dirs[0]);
35
+
console.log(`Using most recent results: ${runDir}`);
36
+
}
37
+
38
+
// Load results
39
+
const jsonFile = join(runDir, 'results.json');
40
+
const data = JSON.parse(await readFile(jsonFile, 'utf-8'));
41
+
const results: StoreBenchmarkResults[] = data.results;
42
+
43
+
console.log(`Loaded ${results.length} store results: ${results.map(r => r.storeName).join(', ')}`);
44
+
45
+
// Generate charts in the same directory
46
+
console.log('Generating charts...');
47
+
const chartFiles = await generateCharts(results, runDir);
48
+
console.log(`Generated ${chartFiles.length} files in ${runDir}/`);
49
+
}
50
+
51
+
main().catch((err) => {
52
+
console.error('Failed:', err);
53
+
process.exit(1);
54
+
});
+232
src/runner.ts
+232
src/runner.ts
···
1
+
import { readFile, access, rm } from 'fs/promises';
2
+
import { join } from 'path';
3
+
import { runBenchmarks } from './harness/benchmark.js';
4
+
import { printResults, saveResults } from './harness/reporter.js';
5
+
import { generateCharts } from './harness/chart.js';
6
+
import type { TestData, StoreBenchmarkResults, BenchmarkResult } from './harness/types.js';
7
+
import type { Url } from './generator/urls.js';
8
+
import type { Metadata } from './generator/metadata.js';
9
+
import type { ImageInfo } from './generator/images.js';
10
+
import type { DocumentInfo } from './generator/documents.js';
11
+
import { getStore, getStoreNames } from './stores/index.js';
12
+
13
+
const ITERATIONS = 10;
14
+
15
+
const TEST_DATA_DIR = 'test-data';
16
+
17
+
async function fileExists(path: string): Promise<boolean> {
18
+
try {
19
+
await access(path);
20
+
return true;
21
+
} catch {
22
+
return false;
23
+
}
24
+
}
25
+
26
+
async function loadTestData(): Promise<TestData> {
27
+
console.log('Loading test data...');
28
+
29
+
// Check if test data exists
30
+
if (!await fileExists(join(TEST_DATA_DIR, 'urls.json'))) {
31
+
console.error('Test data not found. Run "npm run generate" first.');
32
+
process.exit(1);
33
+
}
34
+
35
+
// Load URLs
36
+
const urls: Url[] = JSON.parse(
37
+
await readFile(join(TEST_DATA_DIR, 'urls.json'), 'utf-8')
38
+
);
39
+
console.log(` Loaded ${urls.length} URLs`);
40
+
41
+
// Load metadata
42
+
const metadata: Metadata[] = JSON.parse(
43
+
await readFile(join(TEST_DATA_DIR, 'metadata.json'), 'utf-8')
44
+
);
45
+
console.log(` Loaded ${metadata.length} metadata rows`);
46
+
47
+
// Load image index and data
48
+
const imageIndex: ImageInfo[] = JSON.parse(
49
+
await readFile(join(TEST_DATA_DIR, 'images.json'), 'utf-8')
50
+
);
51
+
const images: TestData['images'] = [];
52
+
for (const img of imageIndex) {
53
+
const data = await readFile(join(TEST_DATA_DIR, 'images', img.filename));
54
+
images.push({ id: img.id, filename: img.filename, data });
55
+
}
56
+
console.log(` Loaded ${images.length} images`);
57
+
58
+
// Load document index and content
59
+
const documentIndex: DocumentInfo[] = JSON.parse(
60
+
await readFile(join(TEST_DATA_DIR, 'documents.json'), 'utf-8')
61
+
);
62
+
const documents: TestData['documents'] = [];
63
+
for (const doc of documentIndex) {
64
+
const content = await readFile(join(TEST_DATA_DIR, 'documents', doc.filename), 'utf-8');
65
+
documents.push({ id: doc.id, filename: doc.filename, content });
66
+
}
67
+
console.log(` Loaded ${documents.length} documents`);
68
+
69
+
return { urls, metadata, images, documents };
70
+
}
71
+
72
+
function parseArgs(): { stores: string[] } {
73
+
const args = process.argv.slice(2);
74
+
const storeIndex = args.indexOf('--store');
75
+
76
+
if (storeIndex !== -1 && args[storeIndex + 1]) {
77
+
return { stores: [args[storeIndex + 1]] };
78
+
}
79
+
80
+
return { stores: getStoreNames() };
81
+
}
82
+
83
+
function formatDuration(ms: number): string {
84
+
if (ms < 1000) return `${ms.toFixed(0)}ms`;
85
+
if (ms < 60000) return `${(ms / 1000).toFixed(2)}s`;
86
+
return `${(ms / 60000).toFixed(2)}m`;
87
+
}
88
+
89
+
// Calculate median, excluding highest and lowest values
90
+
function medianExcludingExtremes(values: number[]): number {
91
+
if (values.length <= 2) return values[0] ?? 0;
92
+
93
+
const sorted = [...values].sort((a, b) => a - b);
94
+
// Remove lowest and highest
95
+
const trimmed = sorted.slice(1, -1);
96
+
97
+
const mid = Math.floor(trimmed.length / 2);
98
+
if (trimmed.length % 2 === 0) {
99
+
return (trimmed[mid - 1] + trimmed[mid]) / 2;
100
+
}
101
+
return trimmed[mid];
102
+
}
103
+
104
+
// Aggregate multiple benchmark results into a single median result
105
+
function aggregateBenchmarkResult(results: BenchmarkResult[]): BenchmarkResult {
106
+
// If any run succeeded, use successful runs for median
107
+
const successful = results.filter(r => !r.failed);
108
+
109
+
if (successful.length === 0) {
110
+
// All failed - return first failure
111
+
return results[0];
112
+
}
113
+
114
+
const durations = successful.map(r => r.durationMs);
115
+
const medianDuration = medianExcludingExtremes(durations);
116
+
117
+
// Use metadata from first successful result
118
+
const first = successful[0];
119
+
return {
120
+
name: first.name,
121
+
durationMs: medianDuration,
122
+
itemCount: first.itemCount,
123
+
bytesProcessed: first.bytesProcessed,
124
+
failed: false
125
+
};
126
+
}
127
+
128
+
// Aggregate multiple store benchmark results into median results
129
+
function aggregateStoreResults(runs: StoreBenchmarkResults[]): StoreBenchmarkResults {
130
+
return {
131
+
storeName: runs[0].storeName,
132
+
init: aggregateBenchmarkResult(runs.map(r => r.init)),
133
+
writes: {
134
+
allUrls: aggregateBenchmarkResult(runs.map(r => r.writes.allUrls)),
135
+
allImages: aggregateBenchmarkResult(runs.map(r => r.writes.allImages)),
136
+
allDocuments: aggregateBenchmarkResult(runs.map(r => r.writes.allDocuments)),
137
+
allMetadata: aggregateBenchmarkResult(runs.map(r => r.writes.allMetadata)),
138
+
},
139
+
reads: {
140
+
recentUrls: aggregateBenchmarkResult(runs.map(r => r.reads.recentUrls)),
141
+
randomImages: aggregateBenchmarkResult(runs.map(r => r.reads.randomImages)),
142
+
randomDocuments: aggregateBenchmarkResult(runs.map(r => r.reads.randomDocuments)),
143
+
},
144
+
disk: {
145
+
// Use median disk usage
146
+
totalBytes: medianExcludingExtremes(runs.map(r => r.disk.totalBytes))
147
+
}
148
+
};
149
+
}
150
+
151
+
async function main() {
152
+
console.log('='.repeat(60));
153
+
console.log('DATASTORE BENCHMARK SUITE');
154
+
console.log('='.repeat(60));
155
+
console.log();
156
+
157
+
const { stores: storeNames } = parseArgs();
158
+
const availableStores = getStoreNames();
159
+
160
+
// Validate store names
161
+
for (const name of storeNames) {
162
+
if (!availableStores.includes(name.toLowerCase())) {
163
+
console.error(`Unknown store: ${name}`);
164
+
console.error(`Available stores: ${availableStores.join(', ')}`);
165
+
process.exit(1);
166
+
}
167
+
}
168
+
169
+
console.log(`Stores to benchmark: ${storeNames.join(', ')}`);
170
+
console.log(`Iterations per store: ${ITERATIONS} (excluding high/low, using median)\n`);
171
+
172
+
// Load test data
173
+
const testData = await loadTestData();
174
+
console.log();
175
+
176
+
// Run benchmarks
177
+
const results: StoreBenchmarkResults[] = [];
178
+
179
+
for (const storeName of storeNames) {
180
+
console.log(`\n${'─'.repeat(50)}`);
181
+
console.log(`Benchmarking ${storeName} (${ITERATIONS} iterations)`);
182
+
console.log('─'.repeat(50));
183
+
184
+
const store = getStore(storeName);
185
+
if (!store) continue;
186
+
187
+
const storeRuns: StoreBenchmarkResults[] = [];
188
+
189
+
for (let i = 0; i < ITERATIONS; i++) {
190
+
console.log(`\n [Run ${i + 1}/${ITERATIONS}]`);
191
+
192
+
const result = await runBenchmarks(store, testData, (phase, durationMs, failed, error) => {
193
+
if (durationMs !== undefined) {
194
+
if (failed) {
195
+
console.log(` ✗ ${phase} FAILED (${formatDuration(durationMs)}) - ${error}`);
196
+
} else {
197
+
console.log(` ✓ ${phase} (${formatDuration(durationMs)})`);
198
+
}
199
+
} else {
200
+
console.log(` → ${phase}`);
201
+
}
202
+
});
203
+
204
+
storeRuns.push(result);
205
+
206
+
// Clean up store data after each iteration
207
+
await rm('store-data', { recursive: true, force: true });
208
+
}
209
+
210
+
// Aggregate results using median (excluding high/low)
211
+
const aggregated = aggregateStoreResults(storeRuns);
212
+
results.push(aggregated);
213
+
214
+
console.log(`\n Median results for ${storeName} computed from ${ITERATIONS} runs`);
215
+
}
216
+
217
+
// Print and save results
218
+
printResults(results);
219
+
const runDir = await saveResults(results);
220
+
221
+
// Generate comparison charts if multiple stores were tested
222
+
if (results.length > 1) {
223
+
console.log('Generating comparison charts...');
224
+
const chartFiles = await generateCharts(results, runDir);
225
+
console.log(`Generated ${chartFiles.length} files in ${runDir}/`);
226
+
}
227
+
}
228
+
229
+
main().catch((err) => {
230
+
console.error('Benchmark failed:', err);
231
+
process.exit(1);
232
+
});
+20
src/stores/index.ts
+20
src/stores/index.ts
···
1
+
import type { DatastoreAdapter } from '../harness/types.js';
2
+
import { TinyBaseAdapter } from './tinybase.js';
3
+
import { LevelGraphAdapter } from './levelgraph.js';
4
+
import { SQLiteAdapter } from './sqlite.js';
5
+
6
+
// Registry of all available datastores
7
+
export const stores: Record<string, () => DatastoreAdapter> = {
8
+
tinybase: () => new TinyBaseAdapter(),
9
+
levelgraph: () => new LevelGraphAdapter(),
10
+
sqlite: () => new SQLiteAdapter()
11
+
};
12
+
13
+
export function getStore(name: string): DatastoreAdapter | null {
14
+
const factory = stores[name.toLowerCase()];
15
+
return factory ? factory() : null;
16
+
}
17
+
18
+
export function getStoreNames(): string[] {
19
+
return Object.keys(stores);
20
+
}
+220
src/stores/levelgraph.ts
+220
src/stores/levelgraph.ts
···
1
+
import { mkdir, writeFile, readFile, rm, stat, readdir } from 'fs/promises';
2
+
import { join } from 'path';
3
+
import type { DatastoreAdapter } from '../harness/types.js';
4
+
import type { Url } from '../generator/urls.js';
5
+
import type { Metadata } from '../generator/metadata.js';
6
+
7
+
const DATA_DIR = 'store-data/levelgraph';
8
+
9
+
export class LevelGraphAdapter implements DatastoreAdapter {
10
+
name = 'LevelGraph';
11
+
private db: any = null;
12
+
private blobDir: string;
13
+
14
+
constructor() {
15
+
this.blobDir = join(DATA_DIR, 'blobs');
16
+
}
17
+
18
+
async init(): Promise<void> {
19
+
await rm(DATA_DIR, { recursive: true, force: true });
20
+
await mkdir(this.blobDir, { recursive: true });
21
+
22
+
// Dynamic imports
23
+
const { Level } = await import('level');
24
+
const levelgraph = (await import('levelgraph')).default;
25
+
26
+
const level = new Level(join(DATA_DIR, 'db'));
27
+
this.db = levelgraph(level);
28
+
}
29
+
30
+
async cleanup(): Promise<void> {
31
+
if (this.db && this.db.db && typeof this.db.db.close === 'function') {
32
+
await this.db.db.close();
33
+
}
34
+
this.db = null;
35
+
}
36
+
37
+
async addUrls(urls: Url[]): Promise<void> {
38
+
if (!this.db) throw new Error('DB not initialized');
39
+
40
+
// Store URLs as triples: subject=url_id, predicate=property, object=value
41
+
const triples: any[] = [];
42
+
for (const url of urls) {
43
+
triples.push(
44
+
{ subject: url.id, predicate: 'type', object: 'url' },
45
+
{ subject: url.id, predicate: 'url', object: url.url },
46
+
{ subject: url.id, predicate: 'title', object: url.title },
47
+
{ subject: url.id, predicate: 'createdAt', object: String(url.createdAt) },
48
+
{ subject: url.id, predicate: 'tags', object: JSON.stringify(url.tags) }
49
+
);
50
+
}
51
+
52
+
await this.putBatch(triples);
53
+
}
54
+
55
+
async addImage(id: string, data: Buffer): Promise<void> {
56
+
if (!this.db) throw new Error('DB not initialized');
57
+
58
+
const filename = `${id}.bin`;
59
+
await writeFile(join(this.blobDir, filename), data);
60
+
61
+
await this.putBatch([
62
+
{ subject: id, predicate: 'type', object: 'image' },
63
+
{ subject: id, predicate: 'filename', object: filename },
64
+
{ subject: id, predicate: 'size', object: String(data.length) }
65
+
]);
66
+
}
67
+
68
+
async addDocument(id: string, content: string): Promise<void> {
69
+
if (!this.db) throw new Error('DB not initialized');
70
+
71
+
// Store document content as a file (too large for triple object)
72
+
const filename = `${id}.txt`;
73
+
await writeFile(join(this.blobDir, filename), content);
74
+
75
+
await this.putBatch([
76
+
{ subject: id, predicate: 'type', object: 'document' },
77
+
{ subject: id, predicate: 'filename', object: filename },
78
+
{ subject: id, predicate: 'size', object: String(content.length) }
79
+
]);
80
+
}
81
+
82
+
async addMetadata(rows: Metadata[]): Promise<void> {
83
+
if (!this.db) throw new Error('DB not initialized');
84
+
85
+
// Process in smaller batches with overall timeout
86
+
const BATCH_SIZE = 1000;
87
+
const TIMEOUT_MS = 60000;
88
+
const startTime = Date.now();
89
+
90
+
for (let i = 0; i < rows.length; i += BATCH_SIZE) {
91
+
// Check timeout before each batch
92
+
if (Date.now() - startTime > TIMEOUT_MS) {
93
+
throw new Error(`addMetadata timed out after ${TIMEOUT_MS}ms (processed ${i}/${rows.length} rows)`);
94
+
}
95
+
96
+
const batch = rows.slice(i, i + BATCH_SIZE);
97
+
const triples: any[] = [];
98
+
99
+
for (const row of batch) {
100
+
triples.push(
101
+
{ subject: row.id, predicate: 'type', object: 'metadata' },
102
+
{ subject: row.id, predicate: 'key', object: row.key },
103
+
{ subject: row.id, predicate: 'value', object: JSON.stringify(row.value) },
104
+
{ subject: row.id, predicate: 'category', object: row.category },
105
+
{ subject: row.id, predicate: 'timestamp', object: String(row.timestamp) }
106
+
);
107
+
}
108
+
109
+
await this.putBatch(triples, 30000); // 30s per batch
110
+
}
111
+
}
112
+
113
+
async getRecentUrls(count: number): Promise<Url[]> {
114
+
if (!this.db) throw new Error('DB not initialized');
115
+
116
+
// Get all URL type entities
117
+
const urlIds = await this.get({ predicate: 'type', object: 'url' });
118
+
119
+
// For each URL, get all properties
120
+
const urls: Url[] = [];
121
+
for (const triple of urlIds) {
122
+
const props = await this.get({ subject: triple.subject });
123
+
const propMap = new Map<string, string>();
124
+
for (const p of props) {
125
+
propMap.set(p.predicate, p.object);
126
+
}
127
+
128
+
urls.push({
129
+
id: triple.subject,
130
+
url: propMap.get('url') || '',
131
+
title: propMap.get('title') || '',
132
+
createdAt: parseInt(propMap.get('createdAt') || '0', 10),
133
+
tags: JSON.parse(propMap.get('tags') || '[]')
134
+
});
135
+
}
136
+
137
+
// Sort by createdAt descending and take first N
138
+
return urls
139
+
.sort((a, b) => b.createdAt - a.createdAt)
140
+
.slice(0, count);
141
+
}
142
+
143
+
async getImages(ids: string[]): Promise<Map<string, Buffer>> {
144
+
if (!this.db) throw new Error('DB not initialized');
145
+
146
+
const result = new Map<string, Buffer>();
147
+
for (const id of ids) {
148
+
const props = await this.get({ subject: id, predicate: 'filename' });
149
+
if (props.length > 0) {
150
+
const filename = props[0].object;
151
+
const data = await readFile(join(this.blobDir, filename));
152
+
result.set(id, data);
153
+
}
154
+
}
155
+
return result;
156
+
}
157
+
158
+
async getDocuments(ids: string[]): Promise<Map<string, string>> {
159
+
if (!this.db) throw new Error('DB not initialized');
160
+
161
+
const result = new Map<string, string>();
162
+
for (const id of ids) {
163
+
const props = await this.get({ subject: id, predicate: 'filename' });
164
+
if (props.length > 0) {
165
+
const filename = props[0].object;
166
+
const content = await readFile(join(this.blobDir, filename), 'utf-8');
167
+
result.set(id, content);
168
+
}
169
+
}
170
+
return result;
171
+
}
172
+
173
+
async getDiskUsage(): Promise<number> {
174
+
return this.calculateDirSize(DATA_DIR);
175
+
}
176
+
177
+
private putBatch(triples: any[], timeoutMs = 60000): Promise<void> {
178
+
return new Promise((resolve, reject) => {
179
+
const timeout = setTimeout(() => {
180
+
reject(new Error(`putBatch timed out after ${timeoutMs}ms`));
181
+
}, timeoutMs);
182
+
183
+
this.db.put(triples, (err: any) => {
184
+
clearTimeout(timeout);
185
+
if (err) reject(err);
186
+
else resolve();
187
+
});
188
+
});
189
+
}
190
+
191
+
private get(pattern: any): Promise<any[]> {
192
+
return new Promise((resolve, reject) => {
193
+
this.db.get(pattern, (err: any, list: any[]) => {
194
+
if (err) reject(err);
195
+
else resolve(list);
196
+
});
197
+
});
198
+
}
199
+
200
+
private async calculateDirSize(dir: string): Promise<number> {
201
+
let total = 0;
202
+
203
+
try {
204
+
const entries = await readdir(dir, { withFileTypes: true });
205
+
for (const entry of entries) {
206
+
const path = join(dir, entry.name);
207
+
if (entry.isDirectory()) {
208
+
total += await this.calculateDirSize(path);
209
+
} else {
210
+
const s = await stat(path);
211
+
total += s.size;
212
+
}
213
+
}
214
+
} catch {
215
+
// Directory doesn't exist yet
216
+
}
217
+
218
+
return total;
219
+
}
220
+
}
+205
src/stores/sqlite.ts
+205
src/stores/sqlite.ts
···
1
+
import Database from 'better-sqlite3';
2
+
import { mkdir, rm, stat, readdir } from 'fs/promises';
3
+
import { join } from 'path';
4
+
import type { DatastoreAdapter } from '../harness/types.js';
5
+
import type { Url } from '../generator/urls.js';
6
+
import type { Metadata } from '../generator/metadata.js';
7
+
8
+
const DATA_DIR = 'store-data/sqlite';
9
+
const DB_PATH = join(DATA_DIR, 'store.db');
10
+
11
+
export class SQLiteAdapter implements DatastoreAdapter {
12
+
name = 'SQLite';
13
+
private db: Database.Database | null = null;
14
+
15
+
async init(): Promise<void> {
16
+
await rm(DATA_DIR, { recursive: true, force: true });
17
+
await mkdir(DATA_DIR, { recursive: true });
18
+
19
+
this.db = new Database(DB_PATH);
20
+
21
+
// Enable WAL mode for better write performance
22
+
this.db.pragma('journal_mode = WAL');
23
+
24
+
// Create tables
25
+
this.db.exec(`
26
+
CREATE TABLE urls (
27
+
id TEXT PRIMARY KEY,
28
+
url TEXT NOT NULL,
29
+
title TEXT NOT NULL,
30
+
createdAt INTEGER NOT NULL,
31
+
tags TEXT NOT NULL
32
+
);
33
+
34
+
CREATE TABLE images (
35
+
id TEXT PRIMARY KEY,
36
+
data BLOB NOT NULL,
37
+
size INTEGER NOT NULL
38
+
);
39
+
40
+
CREATE TABLE documents (
41
+
id TEXT PRIMARY KEY,
42
+
content TEXT NOT NULL,
43
+
size INTEGER NOT NULL
44
+
);
45
+
46
+
CREATE TABLE metadata (
47
+
id TEXT PRIMARY KEY,
48
+
key TEXT NOT NULL,
49
+
value TEXT NOT NULL,
50
+
category TEXT NOT NULL,
51
+
timestamp INTEGER NOT NULL
52
+
);
53
+
54
+
CREATE INDEX idx_urls_createdAt ON urls(createdAt DESC);
55
+
CREATE INDEX idx_metadata_timestamp ON metadata(timestamp DESC);
56
+
`);
57
+
}
58
+
59
+
async cleanup(): Promise<void> {
60
+
if (this.db) {
61
+
this.db.close();
62
+
this.db = null;
63
+
}
64
+
}
65
+
66
+
async addUrls(urls: Url[]): Promise<void> {
67
+
if (!this.db) throw new Error('DB not initialized');
68
+
69
+
const insert = this.db.prepare(`
70
+
INSERT INTO urls (id, url, title, createdAt, tags)
71
+
VALUES (@id, @url, @title, @createdAt, @tags)
72
+
`);
73
+
74
+
const insertMany = this.db.transaction((urls: Url[]) => {
75
+
for (const url of urls) {
76
+
insert.run({
77
+
id: url.id,
78
+
url: url.url,
79
+
title: url.title,
80
+
createdAt: url.createdAt,
81
+
tags: JSON.stringify(url.tags)
82
+
});
83
+
}
84
+
});
85
+
86
+
insertMany(urls);
87
+
}
88
+
89
+
async addImage(id: string, data: Buffer): Promise<void> {
90
+
if (!this.db) throw new Error('DB not initialized');
91
+
92
+
this.db.prepare(`
93
+
INSERT INTO images (id, data, size)
94
+
VALUES (?, ?, ?)
95
+
`).run(id, data, data.length);
96
+
}
97
+
98
+
async addDocument(id: string, content: string): Promise<void> {
99
+
if (!this.db) throw new Error('DB not initialized');
100
+
101
+
this.db.prepare(`
102
+
INSERT INTO documents (id, content, size)
103
+
VALUES (?, ?, ?)
104
+
`).run(id, content, content.length);
105
+
}
106
+
107
+
async addMetadata(rows: Metadata[]): Promise<void> {
108
+
if (!this.db) throw new Error('DB not initialized');
109
+
110
+
const insert = this.db.prepare(`
111
+
INSERT INTO metadata (id, key, value, category, timestamp)
112
+
VALUES (@id, @key, @value, @category, @timestamp)
113
+
`);
114
+
115
+
const insertMany = this.db.transaction((rows: Metadata[]) => {
116
+
for (const row of rows) {
117
+
insert.run({
118
+
id: row.id,
119
+
key: row.key,
120
+
value: JSON.stringify(row.value),
121
+
category: row.category,
122
+
timestamp: row.timestamp
123
+
});
124
+
}
125
+
});
126
+
127
+
insertMany(rows);
128
+
}
129
+
130
+
async getRecentUrls(count: number): Promise<Url[]> {
131
+
if (!this.db) throw new Error('DB not initialized');
132
+
133
+
const rows = this.db.prepare(`
134
+
SELECT id, url, title, createdAt, tags
135
+
FROM urls
136
+
ORDER BY createdAt DESC
137
+
LIMIT ?
138
+
`).all(count) as any[];
139
+
140
+
return rows.map(row => ({
141
+
id: row.id,
142
+
url: row.url,
143
+
title: row.title,
144
+
createdAt: row.createdAt,
145
+
tags: JSON.parse(row.tags)
146
+
}));
147
+
}
148
+
149
+
async getImages(ids: string[]): Promise<Map<string, Buffer>> {
150
+
if (!this.db) throw new Error('DB not initialized');
151
+
152
+
const result = new Map<string, Buffer>();
153
+
const stmt = this.db.prepare('SELECT id, data FROM images WHERE id = ?');
154
+
155
+
for (const id of ids) {
156
+
const row = stmt.get(id) as { id: string; data: Buffer } | undefined;
157
+
if (row) {
158
+
result.set(row.id, row.data);
159
+
}
160
+
}
161
+
162
+
return result;
163
+
}
164
+
165
+
async getDocuments(ids: string[]): Promise<Map<string, string>> {
166
+
if (!this.db) throw new Error('DB not initialized');
167
+
168
+
const result = new Map<string, string>();
169
+
const stmt = this.db.prepare('SELECT id, content FROM documents WHERE id = ?');
170
+
171
+
for (const id of ids) {
172
+
const row = stmt.get(id) as { id: string; content: string } | undefined;
173
+
if (row) {
174
+
result.set(row.id, row.content);
175
+
}
176
+
}
177
+
178
+
return result;
179
+
}
180
+
181
+
async getDiskUsage(): Promise<number> {
182
+
return this.calculateDirSize(DATA_DIR);
183
+
}
184
+
185
+
private async calculateDirSize(dir: string): Promise<number> {
186
+
let total = 0;
187
+
188
+
try {
189
+
const entries = await readdir(dir, { withFileTypes: true });
190
+
for (const entry of entries) {
191
+
const path = join(dir, entry.name);
192
+
if (entry.isDirectory()) {
193
+
total += await this.calculateDirSize(path);
194
+
} else {
195
+
const s = await stat(path);
196
+
total += s.size;
197
+
}
198
+
}
199
+
} catch {
200
+
// Directory doesn't exist yet
201
+
}
202
+
203
+
return total;
204
+
}
205
+
}
+153
src/stores/tinybase.ts
+153
src/stores/tinybase.ts
···
1
+
import { createStore, type Store } from 'tinybase';
2
+
import { mkdir, writeFile, readFile, rm, stat } from 'fs/promises';
3
+
import { join } from 'path';
4
+
import type { DatastoreAdapter } from '../harness/types.js';
5
+
import type { Url } from '../generator/urls.js';
6
+
import type { Metadata } from '../generator/metadata.js';
7
+
8
+
const DATA_DIR = 'store-data/tinybase';
9
+
10
+
export class TinyBaseAdapter implements DatastoreAdapter {
11
+
name = 'TinyBase';
12
+
private store: Store | null = null;
13
+
private blobDir: string;
14
+
15
+
constructor() {
16
+
this.blobDir = join(DATA_DIR, 'blobs');
17
+
}
18
+
19
+
async init(): Promise<void> {
20
+
await rm(DATA_DIR, { recursive: true, force: true });
21
+
await mkdir(this.blobDir, { recursive: true });
22
+
this.store = createStore();
23
+
}
24
+
25
+
async cleanup(): Promise<void> {
26
+
// Save store state to disk for disk usage measurement
27
+
if (this.store) {
28
+
const json = JSON.stringify(this.store.getJson());
29
+
await writeFile(join(DATA_DIR, 'store.json'), json);
30
+
}
31
+
this.store = null;
32
+
}
33
+
34
+
async addUrls(urls: Url[]): Promise<void> {
35
+
if (!this.store) throw new Error('Store not initialized');
36
+
37
+
for (const url of urls) {
38
+
this.store.setRow('urls', url.id, {
39
+
url: url.url,
40
+
title: url.title,
41
+
createdAt: url.createdAt,
42
+
tags: JSON.stringify(url.tags)
43
+
});
44
+
}
45
+
}
46
+
47
+
async addImage(id: string, data: Buffer): Promise<void> {
48
+
if (!this.store) throw new Error('Store not initialized');
49
+
50
+
// Store metadata in TinyBase, blob on disk
51
+
const filename = `${id}.bin`;
52
+
await writeFile(join(this.blobDir, filename), data);
53
+
54
+
this.store.setRow('images', id, {
55
+
filename,
56
+
size: data.length
57
+
});
58
+
}
59
+
60
+
async addDocument(id: string, content: string): Promise<void> {
61
+
if (!this.store) throw new Error('Store not initialized');
62
+
63
+
// Store documents directly in TinyBase (they're text)
64
+
this.store.setRow('documents', id, {
65
+
content,
66
+
size: content.length
67
+
});
68
+
}
69
+
70
+
async addMetadata(rows: Metadata[]): Promise<void> {
71
+
if (!this.store) throw new Error('Store not initialized');
72
+
73
+
for (const row of rows) {
74
+
this.store.setRow('metadata', row.id, {
75
+
key: row.key,
76
+
value: JSON.stringify(row.value),
77
+
category: row.category,
78
+
timestamp: row.timestamp
79
+
});
80
+
}
81
+
}
82
+
83
+
async getRecentUrls(count: number): Promise<Url[]> {
84
+
if (!this.store) throw new Error('Store not initialized');
85
+
86
+
const table = this.store.getTable('urls');
87
+
const rows = Object.entries(table)
88
+
.map(([id, row]) => ({
89
+
id,
90
+
url: row.url as string,
91
+
title: row.title as string,
92
+
createdAt: row.createdAt as number,
93
+
tags: JSON.parse(row.tags as string) as string[]
94
+
}))
95
+
.sort((a, b) => b.createdAt - a.createdAt)
96
+
.slice(0, count);
97
+
98
+
return rows;
99
+
}
100
+
101
+
async getImages(ids: string[]): Promise<Map<string, Buffer>> {
102
+
if (!this.store) throw new Error('Store not initialized');
103
+
104
+
const result = new Map<string, Buffer>();
105
+
for (const id of ids) {
106
+
const row = this.store.getRow('images', id);
107
+
if (row && row.filename) {
108
+
const data = await readFile(join(this.blobDir, row.filename as string));
109
+
result.set(id, data);
110
+
}
111
+
}
112
+
return result;
113
+
}
114
+
115
+
async getDocuments(ids: string[]): Promise<Map<string, string>> {
116
+
if (!this.store) throw new Error('Store not initialized');
117
+
118
+
const result = new Map<string, string>();
119
+
for (const id of ids) {
120
+
const row = this.store.getRow('documents', id);
121
+
if (row && row.content) {
122
+
result.set(id, row.content as string);
123
+
}
124
+
}
125
+
return result;
126
+
}
127
+
128
+
async getDiskUsage(): Promise<number> {
129
+
return this.calculateDirSize(DATA_DIR);
130
+
}
131
+
132
+
private async calculateDirSize(dir: string): Promise<number> {
133
+
const { readdir } = await import('fs/promises');
134
+
let total = 0;
135
+
136
+
try {
137
+
const entries = await readdir(dir, { withFileTypes: true });
138
+
for (const entry of entries) {
139
+
const path = join(dir, entry.name);
140
+
if (entry.isDirectory()) {
141
+
total += await this.calculateDirSize(path);
142
+
} else {
143
+
const s = await stat(path);
144
+
total += s.size;
145
+
}
146
+
}
147
+
} catch {
148
+
// Directory doesn't exist yet
149
+
}
150
+
151
+
return total;
152
+
}
153
+
}
+14
tsconfig.json
+14
tsconfig.json
···
1
+
{
2
+
"compilerOptions": {
3
+
"target": "ES2022",
4
+
"module": "ESNext",
5
+
"moduleResolution": "bundler",
6
+
"esModuleInterop": true,
7
+
"strict": true,
8
+
"skipLibCheck": true,
9
+
"outDir": "dist",
10
+
"rootDir": "src",
11
+
"resolveJsonModule": true
12
+
},
13
+
"include": ["src/**/*"]
14
+
}