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  • Book Overview & Buying Mastering Spring Application Development
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Mastering Spring Application Development

Mastering Spring Application Development

By : Mankale
2 (1)
Buy this Book
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Mastering Spring Application Development

Mastering Spring Application Development

2 (1)
By: Mankale
Buy this Book

Overview of this book

If you are a Java developer with experience in developing applications with Spring, then this book is perfect for you. A good working knowledge of Spring programming conventions and applying dependency injections is recommended to make the most of this book.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Spring Mongo Integration
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1. Spring Mongo Integration
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Installing MongoDB and creating a database
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Setting up a batch file for MongoDB
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Mapping a Mongo document to Spring Bean
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Setting up a Spring-MongoDB project
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Order management use case
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Summary
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2. Messaging with Spring JMS
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2. Messaging with Spring JMS
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Types of messaging
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Apache ActiveMQ
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Implementing the Order Management Messaging System with SpringJMS and ActiveMQ
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Working with multiple queues in ApacheMQ
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JMS transactions
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Summary
3
3. Mailing with Spring Mail
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3. Mailing with Spring Mail
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Spring mail message handling process
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Interfaces and classes used for sending mails with Spring
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Sending mail using the @Configuration annotation
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Sending mail using MailSender and SimpleMailMessage with the XML configuration
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Sending MIME messages
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Sending attachments with mails
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Sending preconfigured mails
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Using Spring templates with Velocity to send HTML mails
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Sending Spring mails over a different thread
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Sending Spring mails with AOP
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Summary
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4. Jobs with Spring Batch
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4. Jobs with Spring Batch
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Introduction to Spring Batch
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Architecture of a batch job
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Dependency for Spring Batch
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Developing a sample batch application
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Intercepting a Spring Batch job with listeners
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Unit testing Spring Batch applications
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Summary
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5. Spring Integration with FTP
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5. Spring Integration with FTP
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Maven dependency
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Spring's XSD for FTP
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FTPSessionFactory and FTPSSessionFactory
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Spring FTP using an outbound channel example
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Sending files over FTP using the Spring integration
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Summary
6
6. Spring Integration with HTTP
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6. Spring Integration with HTTP
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HTTP methods and status codes
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Proxy configuration support in Spring
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Configuring the outbound HTTP messages
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Configuring InboundGateway with both no response and with the response
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RequestMapping support for an inbound channel adapter or a gateway
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Configuring the outbound gateway for HTTP responses
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Mapping URI variables as subelement with an HTTP outbound gateway and an outbound channel adapter
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Spring support for header customizations
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Sending multipart HTTP requests using Spring's RestTemplate
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Summary
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7. Spring with Hadoop
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7. Spring with Hadoop
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Apache Hadoop modules
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Summary
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8. Spring with OSGI
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8. Spring with OSGI
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OSGI containers
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Spring integration with OSGI
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Spring Dynamic Modules and OSGI
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Integrating Spring Dynamic Modules with OSGI
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Summary
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9. Bootstrap your Application with Spring Boot
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9. Bootstrap your Application with Spring Boot
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Setting up Spring Boot
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Spring Gradle MVC application
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Cloud Foundry support for Eclipse Spring Boot
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RestfulWebService using Spring Boot
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Summary
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10. Spring Cache
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10. Spring Cache
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Spring annotations for caching
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Spring caching repository
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Spring CacheManager
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Maven dependency for Spring with caching
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Spring MVC with caching
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Implementing your own caching algorithm
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Summary
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11. Spring with Thymeleaf Integration
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11. Spring with Thymeleaf Integration
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Thymeleaf attributes
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Spring Thymeleaf dependency
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Spring Boot with Thymeleaf and Maven
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Summary
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12. Spring with Web Service Integration
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12. Spring with Web Service Integration
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Spring with JAX-WS
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Spring Web Services with JAXB marshalling for request
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Writing a client application for Spring Web Services using JAXB unmarshalling for request
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Summary
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Index
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Index

Chapter 7. Spring with Hadoop

Processing large chunks of data has been a major challenge in architecting modern day web applications. Hadoop is an open source framework from Apache that provides libraries to process and store large chunks of data. It offers a scalable, cost-effective, and fault-tolerant solution to store and process large chunks of data. In this chapter, let us demonstrate how the Spring Framework supports Hadoop. Map and Reduce, Hive, and HDFS are some of the Hadoop key terminology used with cloud-based technologies. Google has also come with its own Map and Reduce and distributed file system framework, apart from Apache Hadoop.

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Mastering Spring Application Development
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