Spring Data 企业级Java的现代数据访问技术 英文PDF电子书下载

Part Ⅰ．Background 3

1．The Spring Data Project 3

NoSQL Data Access for Spring Developers 3

General Themes 5

TheDomain 6

The Sample Code 6

Importing the Source Code into Your IDE 7

2．Repositories:Convenient Data Access Layers 13

Quick Start 13

Defining Query Methods 16

Query Lookup Strategies 16

Query Derivation 17

Pagination and Sorting 18

Defining Repositories 19

Fine-Tuning Repository Interfaces 20

Manually Implementing Repository Methods 21

IDE Integration 22

IntelliJ IDEA 25

3．Type-Safe Querying Using Querydsl 27

Introduction to Querydsl 27

Generating the Query Metamodel 30

Build System Integration 30

Supported Annotation Processors 31

Querying Stores Using Querydsl 32

Integration with Spring Data Repositories 32

Executing Predicates 33

Manually Implementing Repositories 34

Part Ⅱ．Relational Databases 37

4．JPA Repositories 37

The Sample Project 37

The Traditional Approach 42

Bootstrapping the Sample Code 44

Using Spring Data Repositories 47

Transactionality 50

Repository Querydsl Integration 51

5．Type-Safe JDBC Programming with Querydsl SQL 53

The Sample Project and Setup 53

The HyperSQL Database 54

The SQL Module of Querydsl 54

Build System Integration 58

The Database Schema 59

The Domain Implementation of the Sample Project 60

The QueryDslJdbcTemplate 63

Executing Queries 64

The Beginning of the Repository Implementation 64

Querying for a Single Object 65

The OneToManyResultSetExtractor Abstract Class 67

The CustomerListExtractor Implementation 68

The Implementations for the RowMappers 69

Querying for a List of Objects 71

Insert,Update,and Delete Operations 71

Inserting with the SQLInsertClause 71

Updating with the SQLUpdateClause 72

Deleting Rows with the SQLDeleteClause 73

Part Ⅲ．NoSQL 77

6．MongoDB:A Document Store 77

MongoDB in a Nutshell 77

Setting Up MongoDB 78

Using the MongoDB Shell 79

The MongoDB Java Driver 80

Setting Up the Infrastructure Using the Spring Namespace 81

The Mapping Subsystem 83

The Domain Model 83

Setting Up the Mapping Infrastructure 89

Indexing 91

Customizing Conversion 91

MongoTemplate 94

Mongo Repositories 96

Infrastructure Setup 96

Repositories in Detail 97

Mongo Querydsl Integration 99

7．Neo4j:A Graph Database 101

Graph Databases 101

Neo4j 102

Spring Data Neo4j Overview 105

Modeling the Domain as a Graph 106

Persisting Domain Objects with Spring Data Neo4j 111

Neo4jTemplate 112

Combining Graph and Repository Power 113

Basic Graph Repository Operations 115

Derived and Annotated Finder Methods 116

Advanced Graph Use Cases in the Example Domain 119

Multiple Roles for a Single Node 119

Product Categories and Tags as Examples for In-Graph Indexes 120

Leverage Similar Interests(Collaborative Filtering) 121

Recommendations 122

Transactions,Entity Life Cycle,and Fetch Strategies 122

Advanced Mapping Mode 123

Working with Neo4j Server 124

Continuing From Here 126

8．Redis:AKey/ValueStore 127

Redis in a Nutshell 127

Setting Up Redis 127

Using the Redis Shell 128

Connecting to Redis 129

Object Conversion 130

Object Mapping 133

Atomic Counters 134

Pub/Sub Functionality 135

Listening and Responding to Messages 135

Using Spring's Cache Abstraction with Redis 136

Part Ⅳ．Rapid Application Development 141

9．Persistence Layerswith Spring Roo 141

A Brief Introduction to Roo 141

Roo's Persistence Layers 143

Quick Start 143

Using Roo from the Command Line 143

Using Roo with Spring Tool Suite 145

A Spring Roo JPA Repository Example 147

Creating the Project 147

Setting Up JPA Persistence 148

Creating the Entities 148

Defining the Repositories 150

Creating the Web Layer 150

Running the Example 151

A Spring Roo MongoDB Repository Example 152

Creating the Project 153

Setting Up MongoDB Persistence 153

Creating the Entities 153

Defining the Repositories 154

Creating the Web Layer 154

Running the Example 154

10．REST Repository Exporter 157

The Sample Project 158

Interacting with the REST Exporter 160

Accessing Products 162

Accessing Customers 165

Accessing Orders 169

Part Ⅴ．Big Data 175

11．Spring for Apache Hadoop 175

Challenges Developing with Hadoop 176

Hello World 177

Hello World Revealed 179

Hello World Using Spring for Apache Hadoop 183

Scripting HDFS on the JVM 187

Combining HDFS Scripting and Job Submission 190

Job Scheduling 191

Scheduling MapReduce Jobs with a TaskScheduler 191

Scheduling MapReduce Jobs with Quartz 193

12．Analyzing Data with Hadoop 195

Using Hive 195

Hello World 196

Running a Hive Server 197

Using the Hive Thrift Client 198

Using the Hive JDBC Client 201

Apache Logfile Analysis Using Hive 202

Using Pig 204

Hello World 205

Running a PigServer 207

Controlling Runtime Script Execution 209

Calling Pig Scripts Inside Spring Integration Data Pipelines 211

Apache Logfile Analysis Using Pig 212

Using HBase 214

Hello World 214

Using the HBase Java Client 215

13．Creating Big Data Pipelines with Spring Batch and Spring Integration 219

Collecting and Loading Data into HDFS 219

An Introduction to Spring Integration 220

Copying Logfiles 222

Event Streams 226

Event Forwarding 229

Management 230

An Introduction to Spring Batch 232

Processing and Loading Data from a Database 234

Hadoop Workflows 238

Spring Batch Support for Hadoop 238

Wordcount as a Spring Batch Application 240

Hive and Pig Steps 242

Exporting Data from HDFS 243

From HDFS to JDBC 243

From HDFS to MongoDB 249

Collecting and Loading Data into Splunk 250

Part Ⅵ．Data Grids 255

14．GemFire:A Distributed Data Grid 255

GemFire in a Nutshell 255

Caches and Regions 257

How to Get GemFire 258

Configuring GemFire with the Spring XML Namespace 258

Cache Configuration 258

Region Configuration 263

Cache Client Configuration 265

Cache Server Configuration 267

WAN Configuration 267

Disk Store Configuration 268

Data Access with GemfireTemplate 269

Repository Usage 271

POJO Mapping 271

Creating a Repository 272

PDX Serialization 272

Continuous Query Support 273

Bibliography 275

Index 277