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GPT-4 Turbo
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GPT-4 Turbo • Online

How do I optimize React performance for large datasets? I'm dealing with a table that renders 10,000+ rows and it's becoming sluggish.

10:32 AM
SC

Great question! Rendering 10,000+ rows efficiently requires several optimization strategies. Here are the most effective approaches:

1. Virtual Scrolling (Most Important)

Only render visible rows plus a small buffer. Libraries like react-window or react-virtualized are perfect for this.

import { FixedSizeList as List } from 'react-window';

const VirtualizedTable = ({ items }) => (
  <List
    height={600}
    itemCount={items.length}
    itemSize={50}
    itemData={items}
  >
    {({ index, style, data }) => (
      <div style={style}>
        <TableRow data={data[index]} />
      </div>
    )}
  </List>
);

2. Memoization

Use React.memo for row components and useMemo for expensive calculations.

3. Pagination or Infinite Scroll

Load data in chunks rather than all at once. This reduces initial render time and memory usage.

10:32 AM
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