How We Handled 100K Items in a React List
📰 Dev.to · viswas saripalli
Learn how to optimize React list performance by treating server data as immutable and storing only user-changed data, eliminating O(n) costs.
Action Steps
- Identify areas in your React application where O(n) costs are impacting performance
- Implement immutable data structures for server data
- Store only user-changed data to reduce unnecessary computations
- Use React's built-in features like `shouldComponentUpdate` to optimize rendering
- Test and measure the performance impact of these optimizations
Who Needs to Know This
Frontend developers and engineers working with large datasets in React can benefit from this approach to improve performance and scalability. This technique can be particularly useful for teams building complex applications with large lists or tables.
Key Insight
💡 Treating server data as immutable ground truth and storing only user-changed data can eliminate O(n) costs and improve performance
Share This
💡 Optimize your React list performance by treating server data as immutable and storing only user-changed data! #React #PerformanceOptimization
Full Article
How treating server data as immutable ground truth — and storing only what the user changed — eliminates O(n) costs across an entire feature.
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