About the Book

Java Persistence with Hibernate, Second Editionexplores Hibernate by developing an application that ties together hundreds of individual examples. You’ll immediately dig into the rich programming model of Hibernate, working through mappings, queries, fetching strategies, transactions, conversations, caching and more. Along the way you’ll find a well-illustrated discussion of best practices in database design and optimization techniques. In this revised edition, authors Christian Bauer, Gavin King and Gary Gregory cover Hibernate 5 in detail with the Java Persistence 2.1 standard (JSR 338).

·Getting Started with ORM
·Mapping Strategies
·Transactional Data Processing
·Writing Queries
·Building Applications

About the Author

Christian Baueris a member of the Hibernate developer team and a trainer and consultant. Gavin Kingis the founder of the Hibernate project and a member of the Java Persistence expert group (JSR 220). Gary Gregoryis a principal software engineer working on application servers and legacy integration.

Table of Contents:
Part 1 Getting Started with ORM 1 Understanding object / relational persistence 1.1 What is persistence? 1.2 The paradigm mismatch 1.3 ORM and JPA 1.4 Summary 2 Starting a project 2.1 Introducing Hibernate 2.2 “Hello World” with JPA 2.3 Native Hibernate configuration 2.4 Summary 3 Domain models and metadata 3.1 The example CaveatEmptor application 3.2 Implementing the domain model 3.3 Domain model metadata 3.4 Summary Part 2 Mapping Strategies 4 Mapping persistent classes 4.1 Understanding entities and value types 4.2 Mapping entities with identity 4.3 Entity-mapping options 4.4 Summary 5 Mapping value types 5.1 Mapping basic properties 5.2 Mapping embeddable components 5.3 Mapping Java and SQL types with converters 5.4 Summary 6 Mapping inheritance 6.1 Table per concrete class with implicit polymorphism 6.2 Table per concrete class with unions 6.3 Table per class hierarchy 6.4 Table per subclass with joins 6.5 Mixing inheritance strategies 6.6 Inheritance of embeddable classes 6.7 Choosing a strategy 6.8 Polymorphic associations 6.9 Summary 7 Mapping collections and entity associations 7.1 Sets, bags, lists, and maps of value types 7.2 Collections of components 7.3 Mapping entity associations 7.4 Summary 8 Advanced entity association mappings 8.1 One-to-one associations 8.2 One-to-many associations 8.3 Many-to-many and ternary associations 8.4 Entity associations with Maps 8.5 Summary 9 Complex and legacy schemas 9.1 Improving the database schema 9.2 Handling legacy keys 9.3 Mapping properties to secondary tables 9.4 Summary Part 3 Transactional Data Processing 10 Managing data 10.1 The persistence life cycle 10.2 The Entity Manager interface 10.3 Working with detached state 10.4 Summary 11 Transactions and concurrency 11.1 Transaction essentials 11.2 Controlling concurrent access 11.3 Nontransactional data access 11.4 Summary 12 Fetch plans, strategies, and profiles 12.1 Lazy and eager loading 12.2 Selecting a fetch strategy 12.3 Using fetch profiles 12.4 Summary 13 Filtering data 312 13.1 Cascading state transitions 13.2 Listening to and intercepting events 13.3 Auditing and versioning with Hibernate Envers 13.4 Dynamic data filters 13.5 Summary Part 4 Writing Queries 14 Creating and executing queries 14.1 Creating queries 14.2 Preparing queries 14.3 Executing queries 14.4 Naming and externalizing queries 14.5 Query hints 14.6 Summary 15 The query languages 15.1 Selection 15.2 Restriction 15.3 Projection 15.4 Joins 15.5 Subselects 15.6 Summary 16 Advanced query options 16.1 Transforming query results 16.2 Filtering collections 16.3 The Hibernate criteria query API 16.4 Summary 17 Customizing SQL 17.1 Falling back to JDBC 17.2 Mapping SQL query results 17.3 Customizing CRUD operations 17.4 Calling stored procedures 17.5 Using stored procedures for CRUD 17.6 Summary Part 5 Building Applications 18 Designing client/server applications 18.1 Creating a persistence layer 18.2 Building a stateless server 18.3 Building a stateful server 18.4 Summary 19 Building web applications 19.1 Integrating JPA with CDI 19.2 Paging and sorting data 19.3 Building JSF applications 19.4 Serializing domain model data 19.5 Summary 20 Scaling Hibernate 20.1 Bulk and batch processing 20.2 Caching data 20.3 Summary