How to implement cursor-based pagination in GraphQL

Applications interacting with large datasets, such as Facebook, benefit significantly from pagination strategies to manage data efficiently, reducing payload sizes and improving performance. Cursor-based pagination, a popular approach, uses cursors to represent data positions, allowing clients to request specific data portions and accommodate new data additions during paging. Unlike simple page-based pagination, cursor-based pagination imposes certain constraints, such as the inability to randomly access pages, but it offers advantages in handling dynamic datasets. The text explores setting up a Node.js GraphQL server using the Apollo Server package to implement cursor-based pagination, focusing on creating a schema according to the Relay GraphQL Cursor Connections Specification. This setup involves a unique sequential column in the dataset to ensure reliable ordering and a shared schema design, facilitating client-server communication. The article also provides a practical example involving a Star Wars-themed dataset and discusses the importance of monitoring GraphQL requests in production using tools like LogRocket for enhanced debugging and performance tracking.