What are the common mistakes in prefetching data?
An example of an AI chatbot conversation about common mistakes in data prefetching.
What are the common mistakes in prefetching data?
Common mistakes include prefetching too much data, not considering user behavior, and failing to handle errors.
Can you explain why prefetching too much data is a problem?
Prefetching too much data can lead to increased memory usage and slower performance, as it may overwhelm the system.
What should I consider about user behavior when prefetching?
You should analyze user patterns to prefetch only the data they are likely to need, optimizing resource usage.
How can I handle errors during prefetching?
Implement error handling strategies like retries, fallbacks, or notifying users to ensure a smooth experience.
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