.NET API Pagination: Why It’s Important
When APIs return large datasets without pagination, servers slow down, users experience long wait times, and applications become inefficient.
.NET API pagination helps by:
- Reducing memory usage
- Limiting data returned per request
- Improving API response times for large datasets
Common Scenarios Needing Pagination
- Fetching thousands of users or orders in CRM/ERP systems
- APIs returning product lists or inventory records
- Real-time dashboards querying large datasets
Without pagination, a single request may return all records, causing delays and heavy server load.
Example: Implementing Pagination in ASP.NET Core
// ✅ Fetch 20 records per page
int pageNumber = 1;
int pageSize = 20;var pagedProducts = context.Products
.OrderBy(p => p.Id)
.Skip((pageNumber - 1) * pageSize)
.Take(pageSize)
.ToList();
Explanation:
.Skip()→ skips records from previous pages.Take()→ returns only the requested page- Reduces server load and improves .NET API performance
Best Practices for .NET API Pagination
- Use Skip() and Take() for database queries
- Consider Cursor-based pagination for large datasets
- Return metadata (total count, current page, total pages)
- Avoid fetching unnecessary columns
- Combine with caching for frequently requested pages
External Resources
- ASP.NET Core Pagination Documentation:
Visit Here - Entity Framework Performance Best Practices:
Visit Here
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