"High-Performance Java Persistence" by Vlad Mihalcea offers a comprehensive guide to optimizing data access layers, bridging database administration with Hibernate and JPA application development. The text covers foundational JDBC mechanisms, advanced Hibernate mapping, caching strategies, and concurrency control to enhance application performance. Detailed chapters, sample code, and additional tips are available on vladmihalcea.com . High-Performance Java Persistence - Amazon.com
3. Batching: The Unsung Hero of Bulk Operations
- Read Vlad Mihalcea’s blog – each article includes benchmarks.
- Study the Hibernate documentation – especially chapter on performance.
- Practice with a sample project – test N+1, batching, caching.
- Use JMH benchmarks to measure persistence operations.
- Monitor a real app in staging with production-like data volume.
- Persistence is often the application bottleneck — optimize interaction patterns, not just queries.
- Measure before tuning: use realistic benchmarks and production-like data.
- Focus on reducing round-trips, unnecessary work, and object-mapping overhead.
High-performance Java Persistence.pdf May 2026
"High-Performance Java Persistence" by Vlad Mihalcea offers a comprehensive guide to optimizing data access layers, bridging database administration with Hibernate and JPA application development. The text covers foundational JDBC mechanisms, advanced Hibernate mapping, caching strategies, and concurrency control to enhance application performance. Detailed chapters, sample code, and additional tips are available on vladmihalcea.com . High-Performance Java Persistence - Amazon.com
3. Batching: The Unsung Hero of Bulk Operations
- Read Vlad Mihalcea’s blog – each article includes benchmarks.
- Study the Hibernate documentation – especially chapter on performance.
- Practice with a sample project – test N+1, batching, caching.
- Use JMH benchmarks to measure persistence operations.
- Monitor a real app in staging with production-like data volume.
- Persistence is often the application bottleneck — optimize interaction patterns, not just queries.
- Measure before tuning: use realistic benchmarks and production-like data.
- Focus on reducing round-trips, unnecessary work, and object-mapping overhead.
