The Efficient Tree View is a practical guide to designing fast, scalable, and user-friendly tree views for large hierarchical datasets. Written for software developers and system architects, this book introduces a layered architecture that keeps memory usage, CPU load, and database I/O constant - even as data volume grows. Inside, you'll discover how to: Build a fully virtualized client tree view that renders only what's visible. Coordinate front-end and back-end using a lightweight metadata model. Design a ...
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The Efficient Tree View is a practical guide to designing fast, scalable, and user-friendly tree views for large hierarchical datasets. Written for software developers and system architects, this book introduces a layered architecture that keeps memory usage, CPU load, and database I/O constant - even as data volume grows. Inside, you'll discover how to: Build a fully virtualized client tree view that renders only what's visible. Coordinate front-end and back-end using a lightweight metadata model. Design a database schema with clustered indexes and smart sort keys for millisecond-level performance. Support real-time edits, multi-user collaboration, and massive data sets with ease. Enhance usability with advanced UX features like bookmarks, multi-column trees, and inline editing. Whether you're building an org chart, dependency map, document explorer, or enterprise knowledge system, this book gives you the blueprint for modern tree view performance - with algorithms, schema designs, and AI prompts to accelerate development in any tech stack. Includes downloadable AI-ready coding instructions to help you generate working code with ChatGPT, Copilot, or your preferred assistant.
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