Spring Data Mark Pollack, Oliver Gierke, Thomas Risberg

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Spis treści książki

• Spring Data
• Dedication
• Dedication
• SPECIAL OFFER: Upgrade this ebook with OReilly
• Foreword
• Preface
  • Overview of the New Data Access Landscape
  • How to Read This Book
  • Conventions Used in This Book
  • Using Code Examples
  • Safari Books Online
  • How to Contact Us
  • Acknowledgments
• I. Background
  • 1. The Spring Data Project
    • NoSQL Data Access for Spring Developers
    • General Themes
    • The Domain
    • The Sample Code
      • Importing the Source Code into Your IDE
        • STS/Eclipse
        • IntelliJ IDEA
  • 2. Repositories: Convenient Data Access Layers
    • Quick Start
    • Defining Query Methods
      • Query Lookup Strategies
      • Query Derivation
        • Property expressions
      • Pagination and Sorting
    • Defining Repositories
      • Fine-Tuning Repository Interfaces
      • Manually Implementing Repository Methods
    • IDE Integration
      • IntelliJ IDEA
  • 3. Type-Safe Querying Using Querydsl
    • Introduction to Querydsl
    • Generating the Query Metamodel
      • Build System Integration
      • Supported Annotation Processors
      • Querying Stores Using Querydsl
    • Integration with Spring Data Repositories
      • Executing Predicates
      • Manually Implementing Repositories
• II. Relational Databases
  • 4. JPA Repositories
    • The Sample Project
    • The Traditional Approach
    • Bootstrapping the Sample Code
    • Using Spring Data Repositories
      • Transactionality
      • Repository Querydsl Integration
  • 5. Type-Safe JDBC Programming with Querydsl SQL
    • The Sample Project and Setup
      • The HyperSQL Database
      • The SQL Module of Querydsl
      • Build System Integration
      • The Database Schema
      • The Domain Implementation of the Sample Project
    • The QueryDslJdbcTemplate
    • Executing Queries
      • The Beginning of the Repository Implementation
      • Querying for a Single Object
      • The OneToManyResultSetExtractor Abstract Class
      • The CustomerListExtractor Implementation
      • The Implementations for the RowMappers
      • Querying for a List of Objects
    • Insert, Update, and Delete Operations
      • Inserting with the SQLInsertClause
      • Updating with the SQLUpdateClause
      • Deleting Rows with the SQLDeleteClause
• III. NoSQL
  • 6. MongoDB: A Document Store
    • MongoDB in a Nutshell
      • Setting Up MongoDB
      • Using the MongoDB Shell
      • The MongoDB Java Driver
    • Setting Up the Infrastructure Using the Spring Namespace
    • The Mapping Subsystem
      • The Domain Model
        • Addresses and email addresses
        • Customers
        • Products
        • Orders and line items
      • Setting Up the Mapping Infrastructure
        • Using the Spring namespace
        • In Spring JavaConfig
      • Indexing
      • Customizing Conversion
        • Implementing custom converters
        • Registering custom converters
    • MongoTemplate
    • Mongo Repositories
      • Infrastructure Setup
      • Repositories in Detail
      • Mongo Querydsl Integration
  • 7. Neo4j: A Graph Database
    • Graph Databases
    • Neo4j
    • Spring Data Neo4j Overview
    • Modeling the Domain as a Graph
    • Persisting Domain Objects with Spring Data Neo4j
      • Neo4jTemplate
    • Combining Graph and Repository Power
      • Basic Graph Repository Operations
      • Derived and Annotated Finder Methods
        • Annotated finder methods
        • Result handling
        • Derived finder methods
    • Advanced Graph Use Cases in the Example Domain
      • Multiple Roles for a Single Node
      • Product Categories and Tags as Examples for In-Graph Indexes
      • Leverage Similar Interests (Collaborative Filtering)
      • Recommendations
    • Transactions, Entity Life Cycle, and Fetch Strategies
    • Advanced Mapping Mode
    • Working with Neo4j Server
    • Continuing From Here
  • 8. Redis: A Key/Value Store
    • Redis in a Nutshell
      • Setting Up Redis
      • Using the Redis Shell
    • Connecting to Redis
    • Object Conversion
    • Object Mapping
    • Atomic Counters
    • Pub/Sub Functionality
      • Listening and Responding to Messages
    • Using Springs Cache Abstraction with Redis
• IV. Rapid Application Development
  • 9. Persistence Layers with Spring Roo
    • A Brief Introduction to Roo
    • Roos Persistence Layers
    • Quick Start
      • Using Roo from the Command Line
      • Using Roo with Spring Tool Suite
    • A Spring Roo JPA Repository Example
      • Creating the Project
      • Setting Up JPA Persistence
      • Creating the Entities
      • Defining the Repositories
      • Creating the Web Layer
      • Running the Example
    • A Spring Roo MongoDB Repository Example
      • Creating the Project
      • Setting Up MongoDB Persistence
      • Creating the Entities
      • Defining the Repositories
      • Creating the Web Layer
      • Running the Example
  • 10. REST Repository Exporter
    • The Sample Project
      • Interacting with the REST Exporter
      • Accessing Products
      • Accessing Customers
      • Accessing Orders
• V. Big Data
  • 11. Spring for Apache Hadoop
    • Challenges Developing with Hadoop
    • Hello World
    • Hello World Revealed
    • Hello World Using Spring for Apache Hadoop
    • Scripting HDFS on the JVM
    • Combining HDFS Scripting and Job Submission
    • Job Scheduling
      • Scheduling MapReduce Jobs with a TaskScheduler
      • Scheduling MapReduce Jobs with Quartz
  • 12. Analyzing Data with Hadoop
    • Using Hive
      • Hello World
      • Running a Hive Server
      • Using the Hive Thrift Client
      • Using the Hive JDBC Client
      • Apache Logfile Analysis Using Hive
    • Using Pig
      • Hello World
      • Running a PigServer
      • Controlling Runtime Script Execution
      • Calling Pig Scripts Inside Spring Integration Data Pipelines
      • Apache Logfile Analysis Using Pig
    • Using HBase
      • Hello World
      • Using the HBase Java Client
  • 13. Creating Big Data Pipelines with Spring Batch and Spring Integration
    • Collecting and Loading Data into HDFS
      • An Introduction to Spring Integration
      • Copying Logfiles
      • Event Streams
      • Event Forwarding
      • Management
      • An Introduction to Spring Batch
      • Processing and Loading Data from a Database
    • Hadoop Workflows
      • Spring Batch Support for Hadoop
      • Wordcount as a Spring Batch Application
      • Hive and Pig Steps
    • Exporting Data from HDFS
      • From HDFS to JDBC
      • From HDFS to MongoDB
    • Collecting and Loading Data into Splunk
• VI. Data Grids
  • 14. GemFire: A Distributed Data Grid
    • GemFire in a Nutshell
    • Caches and Regions
    • How to Get GemFire
    • Configuring GemFire with the Spring XML Namespace
      • Cache Configuration
      • Region Configuration
      • Cache Client Configuration
      • Cache Server Configuration
      • WAN Configuration
      • Disk Store Configuration
    • Data Access with GemfireTemplate
    • Repository Usage
      • POJO Mapping
      • Creating a Repository
      • PDX Serialization
    • Continuous Query Support
• Bibliography
• Index
• About the Authors
• Colophon
• SPECIAL OFFER: Upgrade this ebook with OReilly
• Copyright

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