High-performance Java Persistence.pdf 2021 -
High-Performance Java Persistence by Vlad Mihalcea is widely considered the definitive guide for Java developers looking to bridge the gap between their application code and the underlying relational database. While many developers treat persistence frameworks like Hibernate as a "black box," this book unravels their inner workings to prevent the common performance bottlenecks that plague enterprise applications. High-Performance Java Persistence - Vlad Mihalcea
Maya felt a cold shiver. She had done exactly what the book warned against. High-performance Java Persistence.pdf
Key Takeaways
She replaced her lazy List<Order> with a custom repository method using a @EntityGraph(attributePaths = "items", "shipment"). High-Performance Java Persistence by Vlad Mihalcea is widely
10. Monitoring & Tuning Tools
- Hibernate stats –
hibernate.generate_statistics=true. - Datasource proxy – log parameters, execution time.
- Slow query log – DB-specific (e.g.,
log_min_duration_statementin PostgreSQL). - APM tools – DataDog, New Relic, Dynatrace.
- Explain plans – Analyze
EXPLAIN ANALYZEoutput.
- Hibernate: A popular ORM tool that provides features like caching, batching, and lazy loading.
- EclipseLink: Another widely-used ORM tool that offers advanced features like caching and query optimization.
- Java Mission Control: A tool for monitoring and analyzing Java application performance.
- VisualVM: A visual tool for profiling and monitoring Java applications.
The paper emphasizes the importance of testing and validation when optimizing Java persistence performance. It recommends using a combination of: Hibernate stats – hibernate
- PostgreSQL: Utilizing
ON CONFLICT(Upsert) with Hibernate. - SQL Server: Leveraging
OFFSET FETCHfor pagination withoutROW_NUMBER()overhead. - Oracle: Handling recursive CTEs (Common Table Expressions).
By following these best practices and testing methodologies, developers can significantly improve the performance of their Java persistence layer.
