High-performance Java Persistence.pdf

By treating your relational database as a powerful co-processor rather than a hidden storage detail, you unlock the true potential of the Java persistence ecosystem. Avoid eager fetching, monitor your generated SQL queries diligently, and size your connection pools scientifically to guarantee an enterprise data layer capable of handling massive scale.

For read-only operations or reporting, bypass entity mapping entirely. Use .

Which (e.g., Spring Boot, Quarkus, Jakarta EE) are you using? High-performance Java Persistence.pdf

What is powering your project (Spring Boot 3, Jakarta EE, Quarkus)?

Disables Hibernate's ability to use JDBC batching for inserts because the framework must execute the SQL statement immediately to retrieve the database-generated ID. By treating your relational database as a powerful

Keep database transactions as short as possible. Hold connections only when executing SQL statements.

The GenerationType.IDENTITY strategy forces Hibernate to execute the SQL INSERT immediately to obtain the database-generated ID. This completely disables JDBC batching for inserts. Disables Hibernate's ability to use JDBC batching for

spring.jpa.properties.hibernate.jdbc.batch_size=30 spring.jpa.properties.hibernate.order_inserts=true spring.jpa.properties.hibernate.order_updates=true Use code with caution.