Rest API - Pagination Patterns
You want to implement offset-based pagination for a large dataset but want to avoid performance issues with very large offsets. Which approach is best to improve performance?
You want to implement offset-based pagination for a large dataset but want to avoid performance issues with very large offsets. Which approach is best to improve performance?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand offset performance issues
Large offsets cause the database to scan many rows before returning results, slowing queries.Step 2: Identify better pagination method
Keyset pagination uses a unique indexed column (like ID) to fetch next pages efficiently without scanning skipped rows.Step 3: Evaluate other options
Increasing limit or caching is not scalable; relying on database optimization alone is insufficient.Final Answer:
Use keyset pagination by filtering with a unique indexed column instead of offset -> Option AQuick Check:
Keyset pagination avoids large offset performance issues [OK]
Quick Trick: Use keyset pagination to avoid slow large offsets [OK]
Common Mistakes:
- Relying on large offset values for deep pages
- Increasing limit without considering user experience
- Assuming caching solves pagination performance
Master "Pagination Patterns" in Rest API
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