Java Persistence has come along way since the days of straight JDBC coding and custom framework development. We have at our disposal several outstanding open source frameworks such as Hibernate, Toplink, iBatis, and OpenJPA (just to name a few), and we now have a promising and emerging standards-based solution called Java Persistence API (JPA). However, all to often we find in the Java persistence space that it is a world of one-size-does-not-fit-all. We continually struggle with traditional ORM solutions like Hibernate when it comes to reporting queries, complex queries, complex relationships, and stored procedures, and we also struggle with managing the enormous amount of SQL required for solutions such as iBATIS or JDBC-based frameworks. In this coding-intensive session we will take a detailed look at identifying and overcoming the challenges we face when using frameworks such as Hibernate, iBATIS, and JPA, and how to combine the various persistence frameworks to create an effective Java persistence solution that approaches (but of course does not reach) the silver bullet.

Agenda: - Introduction - Framework Differences - Brief Overview of iBatis - Brief Overview of JPA - Aspect Analysis - Inserts and Updates - Reporting Queries - Stored Procedures - Complex SQL - Debugging and Testing Techniques - The Fast Lane Reader Pattern - Combining ORM and SQL Mapping Frameworks - Summary and Q&A