High-performance Java Persistence -

Instead of sending 100 separate INSERT statements, use JDBC batching to send them in a single network round-trip. For Hibernate users, this requires setting hibernate.jdbc.batch_size . 2. Optimize JPA & Hibernate Mapping

The foundation of any Java data access layer is . Even when using JPA, the performance of your application is heavily dictated by how you handle raw database interactions. High-Performance Java Persistence

Database connections are expensive to create. Always use a connection pool (like HikariCP ) and monitor it with tools like FlexyPool to find the right pool size. Instead of sending 100 separate INSERT statements, use

High-Performance Java Persistence: A Guide to Scalable Data Access Optimize JPA & Hibernate Mapping The foundation of

Use PreparedStatements to allow the database to cache execution plans. This reduces parsing overhead and protects against SQL injection.

A common mistake is designing entity mappings based solely on the object model without considering the generated SQL. 14 High-Performance Java Persistence Tips - Vlad Mihalcea