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Manage Data using Java/JEE & JPA

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The interest of implementing an object-relational mapping layer between an "object" business model and a relational database is probably no longer to be demonstrated: the code that contains the SQL queries is isolated in a single place, allowing reduced adherence to the database schema; the business model can respect the principles of object programming, use inheritance and navigation.
Resulting from the work of the JSR 220 (EJB 3) expert group, JPA is a key specification of Java EE. Far from being just another framework, JPA establishes a simplified standard for persistence to ensure better portability of Java EE applications.
JPA naturally takes the best practices of established frameworks such as Hibernate or TopLink. EJB 3 relies on JPA for entity persistence.
This training allows to understand and experiment JPA by practice. It is an essential prerequisite for the EJB3 course.

1700 € HT 3 jours JE-JPA

Implementing persistence with Java Persistence API (JPA)

Prochaines sessions

    Formulaire d'inscription

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    Programme

    Persistence issue

    • Object-relational mapping
    • Interest of JPA, positioning
    • JPA and application servers
    • History of solutions, Hibernate, TopLink, EJB
    • Java EE: history
    • Java EE servers

    Persistence model

    • Defining a persistent entity, concept of POJO, attributes, relationships
    • Entity and Identity
    • Life cycle of entities
    • Setting up a mapping
    • Mapping without annotations
    • Mapping with annotations
    • Declaring attributes
    • Representing different types of relationships between entities
      • Embedded class
      • 0..1 relation
      • 1..N and N..1 relation
      • N..M ralation
    • CRUD entities handling
    • bidirectionality (or inverse relationship)
    • Inheritance and polymorphism management
    • Mapping an entity on several tables

    Lab

    • Implementation of the persistence of a model illustrating the different presented configurations

    Entity manipulation

    • Entity Manager concept
    • Transaction management, JTA (java Transaction API)
    • Queries: named queries and dynamic queries, Java Persistence Query Language
    • Defining query
    • Executing query
    • Parameterized queries
    • JPQL syntax

    Lab

    • Using JPA querying features

    Performance

    • Cascade usage
    • Loading optimization and Lazy Loading
    • Optimistic locking

    Conclusion

    • Overview of implementations
    • Future of Java application servers and persistence
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