Hibernate Pagination: Transitioning from Offset to Keyset for Resource Optimization

Optimizing Low-Traffic Workloads

When managing resource consumption for low-traffic workloads in Hibernate, the choice of pagination strategy directly impacts database CPU and memory overhead. The standard setFirstResult() and setMaxResults() approach relies on offset-based pagination, which requires the database to scan and discard rows as the offset increases.

Implementation Constraints

For datasets that may grow over time, deep paging via offsets can lead to linear performance degradation. While keyset pagination (the seek method) avoids this by filtering based on the last seen identifier, it introduces constraints regarding the sort order and the requirement for indexed columns.

There is also a risk of Hibernate performing pagination in memory if Join Fetch is used incorrectly within the query, potentially leading to OutOfMemoryError despite the low traffic volume.

• How can the transition from offset-based to keyset pagination be implemented while maintaining support for non-sequential sorting?
• What is the most reliable way to ensure the database dialect handles the limit logic rather than Hibernate performing in-memory filtering?