ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Learn how to solve deep pagination performance bottlenecks in Hibernate by comparing offset and keyset pagination with implementation examples, operational checks, and guidance on when to switch.
Learn how to prevent Hibernate from performing in-memory pagination, which causes OutOfMemoryErrors, by implementing a two-step ID retrieval pattern.
In-Memory Pagination Risk Hibernate provides setFirstResult() and setMaxResults() to handle pagination at the database level. However, the behavior changes when a query utilizes a JOIN FETCH on a collection to avoid N+1 select problems. When combining collection fetching with pagination limits, there is a documented risk that Hibernate cannot safely apply th
Hibernate provides pagination through setFirstResult() and setMaxResults() , which typically delegate the limit and offset logic to the database dialect to ensure efficiency. However, a specific architectural challenge arises when combining these pagination methods with JOIN FETCH clauses. Because fetch joins can produce duplicate root entities in the result
hibernate
xd