Java Persistence with Spring Data and Hibernate

Java Persistence with Spring Data and Hibernate MEAP V04
Copyright
welcome
brief contents
Chapter 1: Understanding object/relational persistence
	1.1 What is persistence?
		1.1.1 Relational databasesxe "DBMS"xe "relational database"xe "relational model"xe "SQL database"
		1.1.2 Understanding SQLxe "SQL:relational operations"xe "relational model:definition"
		1.1.3 Using SQL in Java xe "SQL:in Java"xe "SQL:and JDBC"
	1.2 The paradigm mismatch
		1.2.1 The problem of granularityxe "paradigm mismatch:granularity"
		1.2.2 The problem of inheritance
		1.2.3 The problem of identityxe "paradigm mismatch:identity"
		1.2.4 Problems relating to associations xe "paradigm mismatch:associations"
		1.2.5 The problem of data navigationxe "paradigm mismatch:data navigation"
	1.3 ORM, JPA, Hibernate, and Spring Data
	1.4 Summary
Chapter 2: Starting a project
	2.1 Introducing Hibernate
	2.2 Introducing Spring Data
	2.3  “Hello World” with JPA
		2.3.1 Configuring a persistence unit
		2.3.2 Writing a persistent classxe "persistent classes"
		2.3.3 Storing and loading messages
	2.4 Native Hibernate configuration
	2.5 Switching between JPA and Hibernate
	2.6 “Hello World” with Spring Data JPA
	2.7 Comparing the approaches of persisting entities
	2.8 Summary
Chapter 3: Domain models and metadata
	3.1 The example CaveatEmptor application
		3.1.1 A layered architecture
		3.1.2 Analyzing the business domain
		3.1.3 The CaveatEmptor domain model
	3.2 Implementing the domain model
		3.2.1 Addressing leakage of concerns
		3.2.2 Transparent and automated persistence
		3.2.3 Writing persistence-capable classes
		3.2.4 Implementing POJO associations
	3.3 Domain model metadata
		3.3.1 Annotation-based metadata
		3.3.2 Applying constraints to Java objects
		3.3.3 Externalizing metadata with XML files
		3.3.4 Accessing metadata at runtime
	3.4 Summary
Chapter 4: Working with Spring Data JPA
	4.1 Introducing Spring Data JPA
	4.2 Starting a new Spring Data JPA project
	4.3 First steps to configure a Spring Data JPA project
	4.4 Defining query methods with Spring Data JPA
	4.5 Limiting query results, sorting, and paging
	4.6 Streaming results
	4.7 The @Query annotation
	4.8 Projections
	4.9 Modifying queries
	4.10 Query by Example
	4.11 Summary
Chapter 5: Mapping persistent classes
	5.1 Understanding entities and value types
		5.1.1 Fine-grained domain models
		5.1.2 Defining application concepts
		5.1.3 Distinguishing entities and value types
	5.2 Mapping entities with identity
		5.2.1 Understanding Java identity and equality
		5.2.2 A first entity class and mapping
		5.2.3 Selecting a primary key
		5.2.4 Configuring key generators
		5.2.5 dentifier generator strategies
	5.3 Entity-mapping options
		5.3.1 Controlling names
		5.3.2 Dynamic SQL generation
		5.3.3 Making an entity immutable
		5.3.4 Mapping an entity to a subselect
	5.4 Summary
Chapter 6: Mapping value types
	6.1 Mapping basic properties
		6.1.1 Overriding basic property defaults
		6.1.2 Customizing property access
		6.1.3 Using derived properties
		6.1.4 Transforming column values
		6.1.5 Generated and default property values
		6.1.6 The @Temporal annotation
		6.1.7 Mapping enumerations
	6.2 Mapping embeddable components
		6.2.1 The database schema
		6.2.2 Making classes embeddable
		6.2.3 Overriding embedded attributes
		6.2.4 Mapping nested embedded components
	6.3 Mapping Java and SQL types with converters
		6.3.1 Built-in types
		6.3.2 Creating custom JPA converters
		6.3.3 Extending Hibernate with UserTypes
	6.4 Summary
Chapter 7: Mapping inheritance
	7.1 Table per concrete class with implicit polymorphism
	7.2  Table per concrete class with unions
	7.3 Table per class hierarchy
	7.4 Table per subclass with joins
	7.5 Mixing inheritance strategies
	7.6 Inheritance of embeddable classes
	7.7 Choosing a strategy
	7.8 Polymorphic associations
		7.8.1 Polymorphic many-to-one associations
		7.8.2 Polymorphic collections
	7.9 Summary
Chapter 8: Mapping collections and entity associations
	8.1 Sets, bags, lists, and maps of value types
		8.1.1 The database schema
		8.1.2 Creating and mapping a collection property
		8.1.3 Selecting a collection interface
		8.1.4 Mapping a set
		8.1.5 Mapping an identifier bag
		8.1.6 Mapping a list
		8.1.7 Mapping a map
		8.1.8 Sorted and ordered collections
	8.2 Collections of components
		8.2.1 Equality of component instances
		8.2.2 Set of components
		8.2.3 Bag of components
		8.2.4 Map of component values
		8.2.5 Components as map keys
		8.2.6 Collection in an embeddable component
	8.3 Mapping entity associations
		8.3.1 The simplest possible association
		8.3.2 Making it bidirectional
		8.3.3 Cascading state
	8.4 Summary
Chapter 9: Advanced entity association mappings
	9.1 One-to-one associations
		9.1.1 Sharing a primary key
		9.1.2 The foreign primary key generator
		9.1.3 Using a foreign key join column
		9.1.4 Using a join table
	9.2 One-to-many associations
		9.2.1 Considering one-to-many bags
		9.2.2 Unidirectional and bidirectional list mappings
		9.2.3 Optional one-to-many with a join table
		9.2.4 One-to-many association in an embeddable class
	9.3 Many-to-many and ternary associations
		9.3.1 Unidirectional and bidirectional many-to-many associations
		9.3.2 Many-to-many with an intermediate entity
		9.3.3 Ternary associations with components
	9.4 Entity associations with Maps
		9.4.1 One-to-many with a property key
		9.4.2 Key/Value ternary relationship
	9.5 Summary
Chapter 10: Managing data
	10.1 The persistence life cycle
		10.1.1 Entity instance states
		10.1.2 The persistence context
	10.2 The EntityManager interface
		10.2.1 The canonical unit of work
		10.2.2 Making data persistent
		10.2.3 Retrieving and modifying persistent data
		10.2.4 Getting a referencexe "references"
		10.2.5 Making data transient
		10.2.6 Refreshing data
		10.2.7 Replicating data
		10.2.8 Caching in the persistence context
		10.2.9 Flushing the persistence context
	10.3 Working with detached state
		10.3.1 The identity of detached instances
		10.3.2 Implementing equality methods
		10.3.3 Detaching entity instances
		10.3.4 Merging entity instances
	10.4 Summary
Chapter 11: Transactions and concurrency
	11.1 Transaction essentials
		11.1.1 ACID attributes
		11.1.2 Database and system transactions
	11.2 Controlling concurrent access
		11.2.1 Understanding database-level concurrency
		11.2.2 Optimistic concurrency control
		11.2.3 Explicit pessimistic locking
		11.2.4 Avoiding deadlocks
	11.3 Non-transactional data access
		11.3.1 Reading data in auto-commit mode
		11.3.2 Queueing modifications
	11.4 Managing transactions with Spring and Spring Data
		11.4.1 Transaction propagation
		11.4.2 Transaction rollback
		11.4.3 Transaction properties
		11.4.4 Programmatic transaction definition
		11.4.5 Transactional development with Spring and Spring Data
	11.5 Summary
Chapter 12: Fetch plans, strategies, and profiles
	12.1 Lazy and eager loading
		12.1.1 Understanding entity proxies
		12.1.2 Lazy persistent collections
		12.1.3 Eager loading of associations and collections
	12.2 Selecting a fetch strategy
		12.2.1 The n+1 selects problem
		12.2.2 The Cartesian product problem
		12.2.3 Prefetching data in batches
		12.2.4 Prefetching collections with subselects
		12.2.5 Eager fetching with multiple SELECTs
		12.2.6 Dynamic eager fetching
	12.3 Using fetch profiles
		12.3.1 Declaring Hibernate fetch profiles
		12.3.2 Working with entity graphs
	12.4 Summary