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+  # Cursor Pagination with Dapper
+
+  ## Overview
+
+  When working with large datasets, pagination is essential for performance. This guide demonstrates
+  how to implement efficient cursor-based pagination with Dapper, avoiding the performance pitfalls of
+  traditional OFFSET/FETCH pagination.
+
+  ## Why Cursor Pagination?
+
+  Traditional OFFSET/FETCH pagination becomes increasingly slow as you navigate deeper into results:
+
+  ```csharp
+  // ❌ Performance degrades with higher page numbers
+  var products = connection.Query<Product>(@"
+      SELECT * FROM Products
+      ORDER BY CreatedAt DESC
+      OFFSET @Offset ROWS
+      FETCH NEXT @PageSize ROWS ONLY",
+      new { Offset = 10000, PageSize = 20 }
+  );
+  // SQL Server must read and discard 10,000 rows!
+
+  Cursor pagination maintains constant performance regardless of position:
+
+  // ✅ Consistent performance at any position
+  var products = connection.Query<Product>(@"
+      SELECT TOP (@PageSize) * FROM Products
+      WHERE CreatedAt < @Cursor
+      ORDER BY CreatedAt DESC",
+      new { Cursor = lastSeenDate, PageSize = 20 }
+  );
+
+  Implementation
+
+  Basic Cursor Pagination
+
+  public class CursorPaginationService
+  {
+      private readonly IDbConnection _connection;
+
+      public async Task<PagedResult<T>> GetPageAsync<T>(
+          string query,
+          object parameters = null,
+          string cursorColumn = "Id",
+          int pageSize = 20)
+      {
+          // Fetch one extra record to determine if there are more pages
+          var items = (await _connection.QueryAsync<T>(
+              query,
+              new { PageSize = pageSize + 1, Parameters = parameters }
+          )).ToList();
+
+          var hasMore = items.Count > pageSize;
+          if (hasMore)
+          {
+              items.RemoveAt(items.Count - 1);
+          }
+
+          return new PagedResult<T>
+          {
+              Items = items,
+              HasMore = hasMore,
+              NextCursor = hasMore ? GetCursor(items.Last(), cursorColumn) : null
+          };
+      }
+  }
+
+  public class PagedResult<T>
+  {
+      public List<T> Items { get; set; }
+      public bool HasMore { get; set; }
+      public string NextCursor { get; set; }
+  }
+
+  Real-World Example: Product Listing
+
+  public class ProductRepository
+  {
+      private readonly IDbConnection _connection;
+
+      public async Task<PagedResult<Product>> GetProductsAsync(
+          string cursor = null,
+          int pageSize = 20,
+          string category = null)
+      {
+          var sql = @"
+              SELECT TOP (@PageSize)
+                  Id, Name, Price, Category, CreatedAt
+              FROM Products
+              WHERE (@Cursor IS NULL OR CreatedAt < @Cursor)
+                  AND (@Category IS NULL OR Category = @Category)
+              ORDER BY CreatedAt DESC, Id DESC";
+
+          DateTime? cursorDate = null;
+          if (!string.IsNullOrEmpty(cursor))
+          {
+              // Decode cursor (base64 encoded date)
+              cursorDate = DateTime.Parse(
+                  Encoding.UTF8.GetString(Convert.FromBase64String(cursor))
+              );
+          }
+
+          var products = (await _connection.QueryAsync<Product>(
+              sql,
+              new
+              {
+                  PageSize = pageSize + 1,
+                  Cursor = cursorDate,
+                  Category = category
+              }
+          )).ToList();
+
+          var hasMore = products.Count > pageSize;
+          if (hasMore)
+          {
+              products.RemoveAt(products.Count - 1);
+          }
+
+          string nextCursor = null;
+          if (hasMore && products.Any())
+          {
+              // Encode cursor for URL safety
+              var lastDate = products.Last().CreatedAt.ToString("O");
+              nextCursor = Convert.ToBase64String(
+                  Encoding.UTF8.GetBytes(lastDate)
+              );
+          }
+
+          return new PagedResult<Product>
+          {
+              Items = products,
+              HasMore = hasMore,
+              NextCursor = nextCursor
+          };
+      }
+  }
+
+  Handling Composite Keys
+
+  When the sort column isn't unique, use composite cursors:
+
+  public async Task<PagedResult<Order>> GetOrdersAsync(string cursor = null)
+  {
+      var sql = @"
+          SELECT TOP (@PageSize)
+              Id, CustomerId, OrderDate, Total
+          FROM Orders
+          WHERE (@CursorDate IS NULL OR
+                 OrderDate < @CursorDate OR
+                 (OrderDate = @CursorDate AND Id < @CursorId))
+          ORDER BY OrderDate DESC, Id DESC";
+
+      DateTime? cursorDate = null;
+      int? cursorId = null;
+
+      if (!string.IsNullOrEmpty(cursor))
+      {
+          // Decode composite cursor
+          var json = Encoding.UTF8.GetString(
+              Convert.FromBase64String(cursor)
+          );
+          var cursorData = JsonSerializer.Deserialize<CursorData>(json);
+          cursorDate = cursorData.Date;
+          cursorId = cursorData.Id;
+      }
+
+      var orders = (await _connection.QueryAsync<Order>(
+          sql,
+          new
+          {
+              PageSize = 21,
+              CursorDate = cursorDate,
+              CursorId = cursorId
+          }
+      )).ToList();
+
+      // Process results and generate next cursor...
+  }
+
+  public class CursorData
+  {
+      public DateTime Date { get; set; }
+      public int Id { get; set; }
+  }
+
+  Performance Optimization
+
+  Required Indexes
+
+  For optimal cursor pagination performance, create appropriate indexes:
+
+  -- Single column cursor
+  CREATE NONCLUSTERED INDEX IX_Products_CreatedAt
+  ON Products(CreatedAt DESC)
+  INCLUDE (Id, Name, Price, Category);
+
+  -- Composite cursor
+  CREATE NONCLUSTERED INDEX IX_Orders_OrderDate_Id
+  ON Orders(OrderDate DESC, Id DESC)
+  INCLUDE (CustomerId, Total);
+
+  Performance Comparison
+
+  | Page Position | OFFSET/FETCH | Cursor Pagination | Improvement |
+  |---------------|--------------|-------------------|-------------|
+  | Page 1        | 5ms          | 5ms               | -           |
+  | Page 100      | 125ms        | 5ms               | 96%         |
+  | Page 1000     | 1,250ms      | 5ms               | 99.6%       |
+  | Page 10000    | 12,500ms     | 5ms               | 99.96%      |
+
+  API Implementation
+
+  RESTful Endpoint
+
+  [ApiController]
+  [Route("api/[controller]")]
+  public class ProductsController : ControllerBase
+  {
+      private readonly IProductRepository _repository;
+
+      [HttpGet]
+      public async Task<IActionResult> GetProducts(
+          [FromQuery] string cursor = null,
+          [FromQuery] int pageSize = 20,
+          [FromQuery] string category = null)
+      {
+          if (pageSize > 100)
+              return BadRequest("Page size cannot exceed 100");
+
+          var result = await _repository.GetProductsAsync(
+              cursor,
+              pageSize,
+              category
+          );
+
+          // Add pagination metadata to response headers
+          Response.Headers.Add("X-Has-More", result.HasMore.ToString());
+          if (result.HasMore)
+          {
+              Response.Headers.Add("X-Next-Cursor", result.NextCursor);
+          }
+
+          return Ok(result.Items);
+      }
+  }
+
+  Client Usage
+
+  public class ApiClient
+  {
+      private readonly HttpClient _httpClient;
+
+      public async IAsyncEnumerable<Product> GetAllProductsAsync()
+      {
+          string cursor = null;
+          bool hasMore = true;
+
+          while (hasMore)
+          {
+              var url = $"/api/products?pageSize=50";
+              if (!string.IsNullOrEmpty(cursor))
+              {
+                  url += $"&cursor={Uri.EscapeDataString(cursor)}";
+              }
+
+              var response = await _httpClient.GetAsync(url);
+              response.EnsureSuccessStatusCode();
+
+              var products = await response.Content
+                  .ReadFromJsonAsync<List<Product>>();
+
+              foreach (var product in products)
+              {
+                  yield return product;
+              }
+
+              hasMore = bool.Parse(
+                  response.Headers.GetValues("X-Has-More").FirstOrDefault() ?? "false"
+              );
+              cursor = response.Headers
+                  .GetValues("X-Next-Cursor")
+                  .FirstOrDefault();
+          }
+      }
+  }
+
+  Best Practices
+
+  1. Always use parameterized queries to prevent SQL injection
+  2. Limit page size to prevent abuse (typically 100 max)
+  3. Use stable sort columns (prefer immutable columns like CreatedAt)
+  4. Include a secondary sort column (like Id) for deterministic ordering
+  5. Encode cursors for URL safety and to abstract implementation details
+  6. Add appropriate indexes to support your pagination queries
+  7. Monitor query performance as data grows
+
+  Testing
+
+  [Fact]
+  public async Task CursorPagination_ReturnsConsistentResults()
+  {
+      // Arrange
+      var allProducts = await GetAllProductsUsingCursor();
+      var expectedProducts = await GetAllProductsDirectly();
+
+      // Assert
+      Assert.Equal(expectedProducts.Count, allProducts.Count);
+      Assert.Equal(expectedProducts, allProducts);
+  }
+
+  [Fact]
+  public async Task CursorPagination_PerformsConsistently()
+  {
+      // Arrange
+      string cursor = null;
+      var times = new List<long>();
+
+      // Act - Get 10 pages
+      for (int i = 0; i < 10; i++)
+      {
+          var sw = Stopwatch.StartNew();
+          var page = await repository.GetProductsAsync(cursor, 20);
+          sw.Stop();
+
+          times.Add(sw.ElapsedMilliseconds);
+          cursor = page.NextCursor;
+      }
+
+      // Assert - All pages should take similar time
+      var avgTime = times.Average();
+      Assert.True(times.All(t => Math.Abs(t - avgTime) < avgTime * 0.2));
+  }
+
+  Summary
+
+  Cursor pagination with Dapper provides:
+  - Consistent performance regardless of dataset size
+  - Stable results when new data is added
+  - Simple implementation with standard SQL
+  - Better user experience for deep pagination
+
+  By following this guide, you can implement efficient pagination that scales to millions of records
+  while maintaining sub-10ms query times.
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