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Pump Up Your Technical Knowledge
Listen and watch as industry luminaries bring you the latest on Java technologies
It is easy to overlook the relational database while working with the Java Persistence API (JPA), because it hides a lot of low-level persistence code. In reality, keeping an eye on relational database optimization concerns can help achieve maximum performance from JPA while keeping your persistence code agile. This session outlines strategies for tuning relational databases for JPA as well as adjusting JPA to best use relational databases. The session covers several optimization techniques gleaned from practical applications, including doing optimal schema design, refactoring tables, doing effective indexing, fully utilizing database features, adjusting the domain model, making the right mapping choices, tweaking fetching strategies, utilizing native queries, tuning Java Persistence Query Language (JPQL), and reducing database load by caching. The session assumes intermediate knowledge of relational databases, SQL, and JPA. |
FREE White Papers on Java SE, Java EE, cloud computing and database technologies.
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Oracle is reviewing the Sun product roadmap and will provide guidance to customers in accordance with Oracle's standard product communication policies. Any resulting features and timing of release of such features as determined by Oracle's review of roadmaps, are at the sole discretion of Oracle. All product roadmap information, whether communicated by Sun Microsystems or by Oracle, does not represent a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. It is intended for information purposes only, and may not be incorporated into any contract.
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