Spring Data：企業(yè)級Java的現(xiàn)代數(shù)據(jù)訪問技術(shù)（影印版）

Foreword Preface Part 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 2. Repositories: Convenient Data Access Layers Quick Start Defining Query Methods Query Lookup Strategies Query Derivation 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 Part II. Relational Databases 4. JPA Repositories The Sample Project The Traditional Approach Bootstrapping the Sample Code Using Spring Data Repositories Transactionality Repository Querydsl Integration S. Type-SafeJDBC 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 Part 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 Setting Up the Mapping Infrastructure Indexing Customizing Conversion 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 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 PartlY. 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 Part V. Big Data 11. Spring forApache 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 Datawith 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 Part 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