Diagnosing and Fixing Performance Lag in PrimeNG p-table
Learn how to diagnose and resolve rendering lag in PrimeNG p-table using lazy loading, virtual scrolling, and dataKey optimization for large datasets.
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Learn how to diagnose and resolve rendering lag in PrimeNG p-table using lazy loading, virtual scrolling, and dataKey optimization for large datasets.
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.
PrimeNG DataTable lazy loading cuts initial load time by fetching only the rows the user needs. Learn how to wire the component, translate events into server requests, and avoid common pitfalls.
Cucumber-JVM allows the definition of custom ParameterType mappings to convert Gherkin string captures into strongly typed Java objects. This mechanism simplifies step definitions by removing manual parsing logic from the method body. While ParameterType works for individual step arguments, there is uncertainty regarding its application to DataTable entries.
Issue Overview The PrimeNG DataTable component supports virtual scrolling to handle large data sets efficiently. When selectionMode="multiple" is enabled, the documentation states that selected rows should remain selected even when they scroll out of the visible buffer. However, in practice, the component appears to clear the selection once the virtual scrol