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Create a simple Virtualized List/ Sliding Window
- When dealing with UI performance issues in React, simplifying heavy DOM operations becomes crucial, especially when rendering large lists, lazy loading, and optimizing images.
- As applications scale up, rendering large lists conventionally using the map function can lead to creating a large number of DOM elements, increasing CPU/GPU usage and causing performance issues during user interactions like scrolling or CRUD operations.
- The concept of virtualized lists focuses on rendering only what is visible to the user, improving performance by dynamically displaying a subset of rows based on user interaction like scrolling.
- One common approach to efficiently display thousands of rows is the Sliding Window technique, involving iterating over a collection of items with a fixed-size window that moves across the collection.
- To implement a virtualized list, key components like start and end pointers, the length of the window, and logic for updating visible rows based on user interaction need to be defined.
- The provided code showcases a VirtualizedList component that efficiently renders a large list by dynamically updating the visible items based on scrolling, optimizing performance by rendering only what is needed.
- Through the use of absolute positioning and updating indices based on user scrolling, the VirtualizedList component ensures that only the visible items are rendered on the UI, enhancing performance and user experience.
- By leveraging the Sliding Window technique and virtualized rendering, the VirtualizedList component effectively handles large lists with improved performance and reduced resource consumption.
- The implementation of virtualization techniques like Sliding Window enhances the user experience by ensuring smooth scrolling, reduced DOM manipulation, and optimal resource utilization in React applications.
- Virtualized lists play a crucial role in optimizing UI performance in React applications, providing a scalable solution for efficiently rendering and managing large sets of data.
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