Spring Data by Pollack, Mark -- Read -- Imperial Library of Trantor

Index

Spring Data Dedication Dedication 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 Spring’s Cache Abstraction with Redis

IV. Rapid Application Development

9. Persistence Layers with Spring Roo

A Brief Introduction to Roo Roo’s 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 Copyright

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