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  • 1. EclipseLink JPA in GlassFish™ Doug Clarke Director of Product Management Oracle
  • 2. Eclipse Persistence Services “EclipseLink” Java SE Java EE OSGi Spring ADF JPA MOXy EIS SDO DBWS Eclipse Persistence Services Project (EclipseLink) Databases XML Data Legacy Systems
  • 3. History of EclipseLink TopLink Essentials 1996 2008
  • 4. Significance of EclipseLink • First comprehensive open source persistence solution • Object-Relational and much more • Based upon product with 12 years of commercial usage • Shared infrastructure • Easily share the same domain model with multiple persistence technologies • Leverage metadata for multiple services • Important part of the GlassFish and Eclipse Ecosystems
  • 5. EclipseLink JPA • JPA 1.0 compliant implementation • Java EE, Java SE, Web, Spring, and OSGi • Any JDBC/SQL compliant database • Advanced database extensions: stored procedures, native SQL, … • Key infrastructure: • Caching, Locking, Query Framework, Mapping, … • JDBC connection pooling • Diagnostics: Logging, Profiling • DDL Generation • Customization callbacks • Highly Extensible • … plus many valuable advanced features
  • 6. Caching • Hold objects in-memory to avoid unnecessary database trips and object construction • Cache manages “identity” to support bidirectional and cyclical relationships • Flexible caching options ensure that you get maximum performance • Numerous locking, refreshing, and synchronization options are available to minimize cache staleness • Queries can be run in-memory only against the cache • Cache Coordination supports clustering
  • 7. Cache Configuration • Cache Shared (L2)/Isolated (L1 only) • Entity cache—not data cache • <property name=“eclipselink.cache.shared.default“ value=quot;truequot;/> • Cache Type & Size • Soft/Hard Weak @Cache(type = CacheType.HARD_WEAK, size = 500, • Weak isolated = true, • Full coordinationType = • None INVALIDATE_CHANGED_OBJECTS) • <property name=“eclipselink.cache.type.default“ value=quot;Fullquot;/>
  • 8. EclipseLink JPA Caching EntityManager EntityManagerFactory L1 Cache L2 Cache (Shared ) Cache Coordination
  • 9. Minimize stale cache • Configure the cache relative to application data’s usage • Is the data shared between users/processes? • Is the data volatile? • Only through JPA application? • Through direct DB modification? • Ensure you protect any data that can be concurrently modified with a locking strategy • Must handle optimistic lock failures on flush/commit • Use query refreshing to minimize optimistic lock failures
  • 10. Leveraging the Shared Cache: Reading Client-1 Client-2 1 5 EntityManager-1 EntityManager-2 L1 Cache L1 Cache 2 6 3 EntityManagerFactory L2 Cache Connection Pool 7 Connection Connection 4 8 Connection Connection Connection
  • 11. Leveraging the Shared Cache: Writing Client-2 1 EntityManager-2 L1 Cache 2 EntityManagerFactory 3 L2 Cache Connection Pool Connection 4 Connection Connection Connection Connection
  • 12. Leveraging the Shared Cache: Writing EntityManagerFactory L2 Cache Connection Pool Connection Connection Connection Connection Connection
  • 13. Advanced Mappings • @Converter • @BasicMap and @BasicCollection • Mapping to database structures • @StructConverter – Structs, ADTs • XML types, PL/SQL Records • Mapping features • Private Owned • Join/Batch Fetch • Returning
  • 14. Advanced Mapping Example @Entity @Cache(type=SOFT_WEAK, coordinationType=SEND_OBJECT_CHANGES) @Converter(name=“money”, converterClass=MoneyConverter.class) @OptimisticLocking(type=CHANGED_COLUMNS) public class Employee { @Id private int id; private String name; @OneToMany(mappedBy=“owner”) private List<PhoneNumbers> phones; @Convert(“money”) private Money salary … }
  • 15. Advanced Querying • Support for supplying customizing queries • Native SQL • @NamedStoredProcQuery • Graph Loading Optimizations • Join and Batch Fetch – multi-level • Cache Usage: In-memory • Result caching
  • 16. Transactions • Java apps typically support many clients sharing small number of db connections • Ideally would like to minimize length of transaction on database Begin Txn Time Begin Txn Commit Txn Commit Txn
  • 17. Transaction Features • Minimizes database interactions • Only the minimal updates are sent to the database • Respect database integrity • Orders INSERT, UPDATE and DELETE statements • JTA and RESOURCE_LOCAL support • Attribute-level change tracking • EntityManager flush SQL prior to commit • Bulk Update and Delete • Cached entities effected
  • 18. Concurrency Protection - Locking • Optimistic concurrency included in JPA 1.0, but no support for pessimistic locking is specified • EclipseLink has advanced optimistic locking strategies • Numeric, Timestamp, All fields, Selected fields, Changed field • EntityManager lock() method can be used with optimistic locking, and error handling • EclipseLink supports pessimistic locking through query hints query.setHint(PESSIMISTIC_LOCK, LockNoWait);
  • 19. Weaving • EclipseLink makes use of Weaving (ASM) to introduce additional functionality into the JPA entity classes • Needed for M:1 and 1:1 lazy fetching • Integrated with Java EE compliant App Servers and Spring 2.0 • Available for Java SE using JDK/JRE’s –javaagent: • Optional • Static weaving also supported • Weaving of .class files before deployment
  • 20. JPA Configuration Options • Annotations • JPA • EclipseLink • ORM.XML • JPA • EclipseLink • JPA + EclipseLink • Defaults – Configuration by Exception
  • 21. Database Platform XML: <properties> <property name=“eclipselink.target-databasequot; value=quot;Derbyquot;/> </properties> API: properties.put( EclipseLinkProperties.TARGET_DATABASE, TargetDatabase.ORACLE);
  • 22. Target Database Platform • TargetDatabase (org.eclipse.persistence.jpa.config) • Auto (Default) • Oracle, Oracle8i, Oracle9i, Oracle10g, Oracle11, TimesTen • DB2, DB2Mainframe • Derby, JavaDB, MySQL • Informix • HSQL, PointBase • PostgreSQL • SQLAnyWhere • SQLServer, DBase • Sybase
  • 23. Server Platform • Enables simplified configuration of the target application server • Used to enable integration with: • JTA transaction manager • Logging • JDBC connection un-wrapping • <property name=“eclipselink.target-serverquot; value=“SunAS9quot;/>
  • 24. Target Server Options • TargetServer (org.eclipse.persistence.jpa.config) • None (Default) • OC4J, OC4J_10_1_3, OC4J_11_1_1 • SunAS9 • WebSphere • WebSphere_6_1 • WebLogic, WebLogic_9, WebLogic_10 • JBoss
  • 25. JDBC Connection Settings <properties> ... <property name=“eclipselink.jdbc.driver” value=“oracle.jdbc.Driver”/> <property name=“eclipselink.jdbc.url” value=“jdbc:oracle:thin:@localhost:1521:XE”/> <property name=“eclipselink.jdbc.user” value=“scott”/> <property name=“eclipselink.jdbc.password” value=“tiger”/>
  • 26. Logging <properties> ... <property name=“eclipselink.logging.levelquot; value=quot;FINEquot;/> ... </properties>
  • 27. DDL Generation • Standard enables it but does not currently dictate that providers support it • Mapping metadata specifies how DDL should be generated • Vendors may offer differing levels of support, including: • Generating DDL to a file only • Generating and executing DDL in DB • Dropping existing tables before creating new ones
  • 28. DDL Generation <properties> ... <property name=“eclipselink.ddl-generationquot; value=quot;create-tablesquot;/> ... </properties>
  • 29. Customization Using Properties <properties> ... <property name=quot;eclipselink.session.customizerquot; value=quot;acme.MySessionCustomizerquot;/> <property name=quot;eclipselink.descriptor.customizer.Employe equot; value=quot;acme.MyDescriptorCustomizerquot;/> ... </properties>
  • 30. Descriptor & Session Customizers public class MySessionCustomizer implements SessionCustomizer { public void customize(Session session) { session.setProfiler(new PerformanceProfiler()); } } public class MyDescriptorCustomizer implements DescriptorCustomizer { public void customize(ClassDescriptor desc) { desc.disableCacheHits(); } }
  • 31. Performance and Tuning • Highly configurable and tunable • Guiding principle – minimize and optimize database interactions • No two applications are the same, EclipseLink allows for decisions on what specific behavior needs to be configurable depending on situation • Flexibility of EclipseLink allows efficient business models and relational schemas to be used • Leverages underlying performance tuning features • Java, JDBC and the underlying database technology • Batch Writing • Parameter Binding • Statement Caching
  • 32. Performance and Tuning  Minimal Writes, Updates  “Just in Time” reading  Batch Reading, Writing  Automatic change detection  SQL ordering  Caching policies and sizes  Transformation support  Parameterized SQL (binding)  Existence checks  Pre-allocation of sequence  Stored procedures numbers  Statement Caching  Cache Coordination  Scrolling cursors  Optimistic, Pessimistic locking  Projection Queries  Joining object retrieval  Partial Attribute Queries optimization  In memory querying  Dynamic queries AND MUCH MORE!
  • 33. EclipseLink Status • Incubating Technology Project • Initial contribution of Oracle TopLink complete • Full documentation available on Wiki • Producing Monthly Milestone builds • Milestones included in GlassFish V3 Milestones • 1.0 release planned for July 2008 • JPA 1.0, SDO 2.1, JAXB • Simplified XML and annotation config of advanced features • Packaged for Java SE/EE and OSGi bundles • Beyond 1.0 • JPA 2.0 (Reference Implementation) • Database Web Services • Data Access Service (DAS) 1.0 • and much more …
  • 34. Getting Started with EclipseLink JPA • EclipseLink Project http://www.eclipse.org/eclipselink Eclipse newsgroup: eclipse.technology.eclipselink • GlassFish V3 https://glassfish.dev.java.net/ • Open Source JPA Tools • NetBeans—http://www.netbeans.org • Dali JPA Tools—http://www.eclipse.org/dali