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    • 作者: (美)波拉克 等著
    • 出版社: 东南大学出版社
    • 出版时间:2013-05-01 00:00:00
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    • 作者: (美)波拉克 等著
    • 出版社:东南大学出版社
    • 出版时间:2013-05-01 00:00:00
    • 版次:1
    • 印次:1
    • 印刷时间:2013-05-01
    • 字数:387.00千字
    • 页数:288
    • 开本:16开
    • 装帧:平装
    • ISBN:9787564142001
    • 国别/地区:中国
    • 版权提供:东南大学出版社

    Spring Data

    作  者:(美)波拉克 等 著作
    定  价:58
    出 版 社:东南大学出版社
    出版日期:2013年05月01日
    页  数:288
    装  帧:平装
    ISBN:9787564142001
    主编推荐

    内容简介

      在使用关系型数据库搭建Java企业应用时,你可以选择多种数据访问框架。但是在处理大数据的时候呢?波拉编著的《Spring Data(企业级Java的现代数据访问技术影印版)》这本包含丰富实践的指南将为你展示Spring Data如何使得搭建基于诸如NoSQL 和Hadoop这样一些新型数据访问技术的应用变得更加简单。
        《Spring Data(企业级Java的现代数据访问技术影印版)》通过多个示例项目,你将了解到Spring Data如何提供了一个兼容 NoSQL特有特性和功能的编程模型,以及它如何帮助你开发基于诸如数据分析、事件流处理和工作流之类用例的 Hadoop应用。你也将找到那些Spring Data添加到Spring现有Jnull

    作者简介

    精彩内容

    目录
    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

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