Java Persistence.pdf [2021] | High-performance
The PDF spends pages explaining why the first loop kills your performance (transaction bloat, row lock escalation, and network round trips) and how to identify this using the logger, a tool the author created.
If two users try to update the same inventory record concurrently, the first transaction succeeds and increments the version number. The second transaction fails with an OptimisticLockException , which can be safely caught and retried at the application level. Pessimistic Locking High-performance Java Persistence.pdf
To optimize your persistence layer effectively, monitor these architectural metrics: Diagnostic Action Target Value The PDF spends pages explaining why the first
JPA and Hibernate are excellent for write-heavy, transactional processing (OLTP). However, they are poorly suited for complex reporting, analytics, or bulk data modifications. Bulk Operations row lock escalation