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Frameworks & web · #primeng
Decide between client-side and lazy (server-side) loading in PrimeNG's p-table: constraints, a compact comparison, trade-offs, and a working lazy-load pattern with validation steps.
PrimeNG's p-table freezes with large datasets because it paginates in memory. This guide shows how to flip to server-side lazy loading with onLazyLoad, totalRecords, and HttpClient—plus the production trade-offs you'll actually face.
Learn how to diagnose and resolve rendering lag in PrimeNG p-table using lazy loading, virtual scrolling, and dataKey optimization for large datasets.
Learn how to pair PrimeNG’s lazy‑loading p‑table with virtual scroll to keep UI responsive, reduce DOM size, and enable server‑side paging on massive datasets.
Architecture guide for using PrimeNG p-table with lazy loading to display >10k rows in Angular while meeting load‑time and memory constraints.
If your Angular app needs to show large lists, a plain *ngFor can choke the UI. PrimeNG’s VirtualScroller keeps the DOM tiny by only rendering visible rows. Learn how to set it up, what limits to watch, and how to verify it works.
Move PrimeNG DataTable pagination, sorting, and filtering to the backend with lazy loading. This guide shows a complete Angular component example, the required LazyLoadEvent handling, backend contract expectations, and common mistakes like sort-order mismatch and missing totalRecords.
PrimeNG’s DataTable can choke on 50k rows. Enable lazy loading and virtual scrolling to fetch only the visible slice, keeping memory low and scrolling smooth. Follow this guide for a concrete example, trade‑offs, and best practices.
Learn how to enable lazy loading in PrimeNG’s p‑table so only the visible page of data is fetched from the backend, reducing initial load time and memory usage.
angular