mirror of
https://github.com/tiennm99/thptqg.git
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tiennm99
dbf13d0094
The browser fetches this file one page per HTTP request, so the page size is the granularity of every read. At SQLite's 4 KiB default a row reached by an index seek dragged 4 KB across the network; at 1 KiB it drags 1 KB. A name search returns up to 100 scattered rows, so its row fetches fall from about 400 KB to about 100 KB. Measured on the rebuilt 2016 file: 6.3 rows share a page where 27 did. The index walks are sequential and unaffected in bytes — the library's read-ahead already collapses those into few requests. Cost is 4% file size: 2016 288.6 -> 302.4 MB, 2017 237.7 -> 247.3 MB, the site 528 -> 552 MB against the 1 GB GitHub Pages limit. Both sql.js-httpvfs and sqlite-wasm-http recommend this page size. The PRAGMA has to run before the DDL, since a page size is fixed once a table exists, and requestChunkSize on the client has to match or every page read spans two requests. Row counts unchanged and through the assembler guards; query plans re-checked and still index-driven on the rebuilt files.
Docs
project-overview.md— goal, scope, constraints, the datasets, historysystem-architecture.md— data flow, canonical schema, routing, how one frontend serves both exam yearsdata-pipeline.md— Excel parse quirks, per-dataset formats, overflow-sheet gotcha, expected row counts, verifying a rebuilddeployment-guide.md— GitHub Pages workflow, adding a dataset, rollback, troubleshooting