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Frameworks & web · #spring
Guide to choosing Spring's RestTemplate or WebClient based on blocking vs reactive needs, with a comparison table, code examples, and validation steps.
Learn how to let Spring Data JPA turn request parameters into a Pageable object, return a Page with content and metadata, and avoid common pitfalls of offset‑based pagination.
Learn how to implement Spring Data JPA pagination to prevent OutOfMemoryErrors, the critical difference between Page and Slice, and when to switch to keyset pagination for large datasets.
Stop dealing with partial database updates. Learn how to use Spring's @Transactional to ensure atomicity, avoid the common self-invocation proxy trap, and optimize connection usage.
Learn how to implement server-side pagination in Spring Data JPA using Pageable and PageRequest, and why choosing Slice over Page can significantly improve performance for large datasets.
When implementing pagination for large datasets using Spring Data JPA with Hibernate, developers often use JOIN FETCH to optimize entity loading and avoid the N+1 select problem. However, combining fetch joins with Pageable parameters can lead to unexpected memory consumption. The core issue arises when Hibernate cannot translate the fetch join and paginatio
When a Spring Boot application fails to start, the framework normally logs a structured failure analysis report that includes a description and suggested action. However, when the same application is packaged as a WAR and deployed to an external servlet container (e.g., Tomcat, Jetty), the container’s lifecycle may surface the raw exception without invoking
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