ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Databases & messaging · #hibernate
When designing a data retrieval layer using Hibernate, the choice of pagination strategy impacts both database resource consumption and API flexibility. For low-traffic workloads, the primary goal is to balance implementation simplicity with long-term performance stability as datasets grow. Offset-based pagination, implemented via setFirstResult() and setMax
Objective In a Hibernate‑based Java application we need to retrieve a large dataset page by page while eagerly loading associated collections via a JPQL join fetch. The goal is to keep memory usage bounded even when the offset exceeds 1,000 rows. Current Situation Hibernate provides setFirstResult and setMaxResults on Query or TypedQuery to express offset an
Programmatic vs Declarative Hibernate Transaction Management for Repeatable Development Goal: Establish a repeatable development environment where Hibernate sessions and transactions behave predictably across repeated executions. Constraints require deterministic session lifecycle, avoidance of resource leaks, and a choice between explicit beginTransaction()
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
Diagnosing LazyInitializationException in Jhipster Deployments When a Jhipster‑generated Spring Boot application is deployed with spring.jpa.open-in-view=false , the REST controllers return entity objects directly. During JSON serialization, Hibernate may attempt to access lazy associations that are no longer bound to an active session, raising LazyInitializ
Goal: Retrieve paginated lists of parent entities with their child associations using Hibernate’s setFirstResult and setMaxResults together with left join fetch, while ensuring each parent appears only once per page. Constraints: The application runs on Red Hat JBoss EAP 7.x (Hibernate ORM 5.0‑5.6), where the default limit/offset behavior can produce duplica
When implementing pagination for large datasets in Hibernate ORM, the combination of setFirstResult() and setMaxResults() is used to manage result windows. However, as the offset increases, the underlying database may experience significant latency due to the scanning of skipped rows. There is a need to ensure that long-running pagination queries are handled
Pagination and Join Fetching Hibernate provides setFirstResult() and setMaxResults() to handle database-level pagination. When these methods are used in conjunction with JOIN FETCH on a collection, the ORM must ensure that the number of root entities returned matches the requested page size, regardless of the number of child records joined. There is a known
java
jhipster
redhat
scalingo