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Queryroom: an interactive SQL learning studio with 332 interview questions, book exercises, SQLite execution, progressive hints, and answer verification.
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檢視完整 README ↗Queryroom is an edtech portfolio project by Aditya Malviya that turns SQL study material into hands-on learning. It offers 332 interview practice questions, executable SQLite queries, answer verification, progressive hints, explanations, a playground, and a schema and data browser.
The redesigned landing page and workspace follow the supplied Queryroom reference: forest-green navigation, an ivory workspace, lime highlights, and a dark SQL editor. Existing SQLite execution, saved browser progress, and the question bank are retained.
Book Practice includes exercises and example tables drawn from Sams Teach Yourself SQL in 24 Hours, organised by Hour. The separate interview question bank covers common industry SQL patterns. Queryroom is an independent project, unaffiliated with the book publisher.
Serve the folder with python3 -m http.server 8765 and open http://localhost:8765. For a single-file offline version, open Queryroom_Offline.html. The SQLite engine is embedded. Progress and saved queries are stored in your browser's local storage.
index.html: live Queryroom app with its embedded SQL engine.queryroom.css / queryroom.js: responsive design, navigation, and landing page.Queryroom_Offline.html: standalone redesigned app; regenerate with node build-offline.mjs.SQL_Interview_Practice_Console_Offline.html: downloadable standalone app.SQL_Interview_Practice_Console.html: smaller version that loads sql.js from a CDN.database/: SQLite database, SQL schema/dump, and CSV exports.README.txt: detailed usage guide.The app uses SQLite; vendor-specific SQL behavior may differ. The textbook PDF is not distributed in this repository. The embedded sql.js engine retains its original notices. Google Fonts are optional; system font fallbacks work offline.
GitHub Pages serves the files directly from the main branch. No build step or backend is required.