pf_app/package.json
Paul Trowbridge a6e6efd36e Switch /data endpoint to Arrow IPC stream with pg cursor batching
Server streams rows from a pg cursor in 10k-row batches, building Arrow
record batches incrementally and piping them as chunked HTTP response —
Node.js heap stays bounded regardless of dataset size.

Client fetches as arrayBuffer() and loads directly into Perspective worker
(native Arrow path, no JSON deserialization). X-Row-Count header drives
a non-blocking banner for datasets >= 500k rows. validCols now derived
from col_meta rather than from row keys.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-27 22:57:47 -04:00

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{
"name": "pf_app",
"version": "1.0.0",
"description": "Pivot Forecast Application",
"main": "server.js",
"scripts": {
"start": "node server.js",
"dev": "nodemon server.js",
"build": "cd ui && npm run build"
},
"dependencies": {
"apache-arrow": "^21.1.0",
"cors": "^2.8.5",
"dotenv": "^16.0.0",
"express": "^4.18.2",
"pg": "^8.11.3"
},
"devDependencies": {
"nodemon": "^3.0.0"
}
}