Spring Data

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Autorzy:: Mark Pollack, Oliver Gierke, Thomas Risberg

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You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop.

Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers.

Learn about Spring’s template helper classes to simplify the use ofdatabase-specific functionality
Explore Spring Data’s repository abstraction and advanced query functionality
Use Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database)
Discover the GemFire distributed data grid solution
Export Spring Data JPA-managed entities to the Web as RESTful web services
Simplify the development of HBase applications, using a lightweight object-mapping framework
Build example big-data pipelines with Spring Batch and Spring Integration

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Szczegóły książki

ISBN Ebooka:: 978-14-493-3188-7, 9781449331887
Data wydania ebooka:: 2012-10-12 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski
Rozmiar pliku ePub:: 6.2MB
Rozmiar pliku Mobi:: 6.2MB

Kategorie:
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Programowanie » Java - Programowanie

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
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