This course offers a comprehensive and detail-oriented treatment of the Java Persistence API (JPA) for developers interested in implementing persistence tiers for enterprise applications. We cover JPA basics including simple object/relational concepts and annotations, persistence contexts and entity managers, and configuration via persistence.xml. We get a good grounding in the Java Persistence Query Language (JPQL) and take advantage of a prepared JPQL query console to explore the two schemas on which the course’s case studies are based. The course then moves into advanced topics including JPA-2.0 mapping options, the Criteria API, lifecycle hooks, JSR-303 validation, locking, and caching. Students will complete the course with a firm understanding of JPA architecture and plenty of hands-on exercise in entity mapping, persistence operations, and JPQL.
Course software includes two schemas: a fairly simple human-resources model (6 tables, 253 rows) for early chapters and a more sophisticated pharmacy schema (14 tables, 4255 rows) for the latter half of the course. The pharmacy schema is based on an open-source project and made available to Capstone Courseware by special permission.
This version of the course supports JPA 2.0 with a choice of two providers: EclipseLink 2.3, which is pre-configured for course exercises, and Hibernate® 4.0. Switching providers is just a matter of moving a few lines in and out of XML comments in the relevant persistence.xml file, and we encourage instructors to demonstrate both providers at least here and there, to illustrate portability and for comparison’s sake over some finer points.
The course also supports either the Derby or Oracle® RDBMS. Derby is bundled with the course software and is pre-configured; a script is included to change over to Oracle configurations for all exercises and schema-creation scripts are available for both.
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Course Length: 4 days
Prerequisites: A strong Java programming background is essential for this course — consider Course 103 Knowledge of relational database concepts and SQL is recommended but is not strictly required. Prior experience with JDBC will be a plus but is not required.