This document discusses several key considerations for optimizing database performance in Java enterprise applications. It covers topics like object-relational mapping, persistence frameworks, caching strategies, prepared statements, connection pooling, testing approaches, and common performance antipatterns. Live demos are also provided to illustrate concepts like caching and working with the JDBC layer.

1. Java Enterprise Performance Database Performance

3. Database Application from 10.000 ft

4. Database Applicaction X-Rayed

8. Lazy vs. Eager loading Application Database select ... from master select ... from detail select ... from detail select ... from detail Application Database select ... from master, detail where ..

12. Generic Caching Architecture Persistence Framework JDBC Layer Database Execution Plan Cache Prepared Statement Cache Cross Session Cache Session Caches Query Cache(s)

19. Query more data then needed Application First Name Last Name Country Mike Tom Frank Sinatra Jones Myers Germany firstname lastname birthdate USA Person Address street streetNo city country Austria Database select * from person, address

20. Release Connections early Application Connection getConnection() closeConnection() Connection locked Application Connection getConnection() closeConnection() Connection locked Code requiring DB access Code NOT requiring DB access

30. Statement Statistics are your friend

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