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Comprehensive guide to advanced .NET Core concepts, architectural patterns, and performance tuning for Senior Software Engineer interviews.
Rich answers, explanations, tips, and code blocks in one reading flow.
For 10 lakh (1 million) records, you should use CollectionView in .NET MAUI. However, the critical architectural caveat is that you must never load all 10 lakh records into memory at once, regardless of the control used.
You should combine CollectionView with Incremental Loading (Pagination / Infinite Scrolling) using the RemainingItemsThreshold and RemainingItemsThresholdReachedCommand properties. This ensures UI virtualization is coupled with data virtualization, preventing the application from crashing due to an OutOfMemoryException on mobile devices.
<!-- XAML Implementation -->
<CollectionView ItemsSource="{Binding Items}"
RemainingItemsThreshold="5"
RemainingItemsThresholdReachedCommand="{Binding LoadMoreItemsCommand}">
<CollectionView.ItemTemplate>
<DataTemplate x:DataType="models:MyModel">
<Grid Padding="10">
<Label Text="{Binding Name}" />
</Grid>
</DataTemplate>
</CollectionView.ItemTemplate>
</CollectionView>While both ListView and CollectionView support UI virtualization (reusing visual elements/cells as the user scrolls), CollectionView is the modern, optimized control designed to replace ListView in .NET MAUI. Here is a comparison of their performance mechanics:
No ViewCell Wrapping: Unlike ListView, which requires wrapping templates in a ViewCell (adding extra layout cycles and rendering overhead), CollectionView directly renders the specified elements, reducing the visual tree depth.
Native UI Virtualization: CollectionView leverages the native platform's highly optimized recycling lists (e.g., RecyclerView on Android and UICollectionView on iOS) directly, resulting in smoother scrolling and less CPU overhead.
Built-In Incremental Loading: CollectionView natively supports loading data incrementally through RemainingItemsThreshold. ListView requires hacky scroll-listening workarounds to achieve clean pagination.
At 1,000,000 records, the primary bottleneck is not UI rendering, but RAM utilization on the client device. Storing 1 million C# objects in an ObservableCollection<T> will instantly crash a mobile app due to memory constraints.
To solve this, implement Data Virtualization:
Paginated API Requests: Fetch data in small chunks (e.g., 20 to 50 items per request).
Append-on-Scroll: Use the RemainingItemsThresholdReachedCommand to trigger an asynchronous call to fetch the next page and append only those new items to the bound collection.
Keep Layouts Flat: Ensure the ItemTemplate is as flat as possible. Avoid deeply nested StackLayouts; use a single-row/column Grid instead to minimize measurement passes.
CollectionView solves UI Virtualization (keeping only visible UI elements in memory), but the developer must solve Data Virtualization (keeping only a subset of the dataset in memory).HasUnevenRows="True" if possible (or keep item heights consistent) because dynamic height calculations add substantial layout overhead when scrolling rapidly.x:DataType) inside the DataTemplate is critical for high-performance scrolling in MAUI as it avoids reflection at runtime.Continue from topic preparation into matching openings.
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