Optional. Allows caching data across sessions. Popular providers include Ehcache, Redis, or Hazelcast.
When multiple application nodes access the same data simultaneously, you must protect data integrity without killing performance. Optimistic Locking ( @Version ) High-performance Java Persistence.pdf
Connections=((Core Count×2)+Effective Spindle Count)Connections equals open paren open paren Core Count cross 2 close paren plus Effective Spindle Count close paren Transaction Essentials Optional
spring.jpa.properties.hibernate.jdbc.batch_size=50 spring.jpa.properties.hibernate.order_inserts=true spring.jpa.properties.hibernate.order_updates=true Use code with caution. When multiple application nodes access the same data
If you are building a microservice that requires sub-100ms response times, or a monolithic ERP handling terabytes of data, the strategies inside this PDF are non-negotiable. Download the PDF, bookmark the "Fetching Strategies" chapter, and start profiling your current application. You will likely find millions of CPU cycles waiting to be reclaimed.
Instead of sending 1,000 individual INSERT statements, group them into a single network packet. Set the Hibernate properties hibernate.order_inserts and hibernate.order_updates to true to maximize batching efficiency. 2. Master Object-Relational Mapping (ORM) Mechanics
The book includes a "cheat sheet" for popular RDBMS: