pf_app/routes
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
..
log.js Refactor sources UI, rename pf_ system cols, replace filter builder with raw SQL 2026-04-03 00:47:57 -04:00
operations.js Switch /data endpoint to Arrow IPC stream with pg cursor batching 2026-04-27 22:57:47 -04:00
sources.js Scaffold React/Vite/Tailwind UI with 3-step Setup → Baseline → Forecast flow 2026-04-25 16:28:45 -04:00
tables.js Initial commit — pivot forecast application 2026-04-01 07:59:05 -04:00
versions.js Refactor sources UI, rename pf_ system cols, replace filter builder with raw SQL 2026-04-03 00:47:57 -04:00