Handling Massive Datasets in PrimeNG: Implementing Server-Side Lazy Loading
Stop crashing your browser with massive datasets. Learn how to implement server-side pagination and lazy loading in PrimeNG to handle millions of rows efficiently.
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When using PrimeNG’s p-table with lazy loading, the component relies on the totalRecords input to render pagination controls. If the backend returns a different total count between requests, the paginator may display an incorrect number of pages or become stuck because the reported total no longer matches the fetched page size. The current implementation doe
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reactnavigationPrimeNG Table: Client-side vs Server-side Pagination for High-Volume Datasets
When implementing a p-table for datasets that may scale from a few hundred to several thousand records, there is a trade-off between initial load latency and per-page interaction speed. Client-side pagination loads the entire dataset into browser memory, enabling instantaneous transitions. However, this approach risks UI freezing or heap memory exhaustion as