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Introduction to
                 Spring Integration and Spring Batch
                                            Gunnar Hillert, Spring Integration Team
                                            Gary Russell, Spring Integration Team
                                                Twitter: @ghillert, @gprussell


© 2012 SpringOne 2GX. All rights reserved. Do not distribute without permission.
What we will cover...




• Spring Integration
• Spring Batch
• Using Spring Batch and Spring Integration together




  2
Spring Integration


3
Integration Styles

                                                       JVM           JVM


                                              Core Messaging
                                                               EAI


• Business to Business Integration (B2B)
• Inter Application Integration (EAI)
• Intra Application Integration

                                                    B2B


                                           External Business
                                                Partner




  4
Integration Styles




•   File Transfer
•   Shared Database
•   Remoting
•   Messaging




    5
Common Patterns




 Retrieve         Parse   Transform   Transmit




 6
Enterprise Integration Patterns

•   By Gregor Hohpe & Bobby Woolf
•   Published 2003
•   Collection of well-known patterns
•   http://www.eaipatterns.com/eaipatterns.html
•   Icon library provided




    7
“   Spring Integration provides an extension
           of the Spring programming model
         to support the well-known enterprise
                  integration patterns.




8
History

•   Nov 13, 2007 - First commit: Nov 13, 2007
•   Jan 23, 2008 - Spring Integration 1.0.0.M1
•   Nov 26, 2008 - Spring Integration 1.0.0
•   Nov 22, 2010 - Spring Integration 2.0.0
•   Jan 6, 2012 - Spring Integration 2.1.0
•   Sep 21, 2012 - Spring Integration 2.2.0.RC1

• 2013 - Spring Integration 3.0




    9
What is Spring Integration?

• Light-weight messaging framework
• Provides an adapter-based platform

• Pipes and Filters at the core of Spring Integration’s architecture
  – Endpoint (Filter)
  – Channel (Pipe)
  – Message




  10
Advantages


• Provides building blocks to implement systems that are:
  – are loosely Coupled (Logically or Physically)
  – are Event Driven (EDA)
  – have a staged event-driven architecture (SEDA)
• Sophisticated support for synchronous / asynchronous messaging




 11
Configuration

• XML Namespace Support
• Annotation Support (e.g. @Transformer, @Router, @ServiceActivator)

   <beans xmlns="http://www.springframework.org/schema/beans"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xmlns:int="http://www.springframework.org/schema/integration"
          xsi:schemaLocation="..">
   ...
       <int:channel id="orders"/>
       <int:splitter input-channel="orders" expression="payload.items"
            output-channel="drinks"/>
       <int:channel id="drinks"/>
       <int:router input-channel="drinks"
            expression="payload.iced ? 'coldDrinks' : 'hotDrinks'"/>
   ...
   </beans>


 12
Spring Integration DSLs

• Scala
           val messageFlow =
             filter {payload: String => payload == "World"} -->
             transform { payload: String => "Hello " + payload} -->
             handle { payload: String => println(payload) }

           messageFlow.send("World")




• Groovy
           def builder = new IntegrationBuilder()

           def flow = builder.messageFlow {
             transform {payload->payload.toUpperCase()}
             filter {payload-> payload =="HELLO"}
             handle {payload->payload}
           }

           assert flow.sendAndReceive("hello") == "HELLO"
           assert flow.sendAndReceive("world") == null


 13
Deployment Options


• Embedded as a library
• Stand-alone deployment
• War deployment




 14
What is in a Message?

• Unit of information
• Encapsulates data
• Passed between endpoints
• Consists of headers
  – contains data relevant to the messaging system
• and a payload
  – actual data for the receiver
  – depending on use-cases: POJO instances or serialized data




    15
What is in a Message?



      package org.springframework.integration;

      public interface Message<T> {

          MessageHeaders getHeaders();

          T getPayload();

      }


 16
Message Headers

•   Message ID (automatically generated UUID)
•   Timestamp
•   Correlation Id
•   Reply Channel
•   Error Channel
•   Expiration Date
•   Priority
•   ...

• Add your own headers using a Header Enricher


    17
Function of a Message



• Command Message
                        C

• Event Message
                            E

• Document Message
                        D




 18
What is a Channel?

• Channels connect producers and consumers (decoupling)
• MessageChannel Interface:
   – PollableChannel (Polling Consumer)
   – SubscribableChannel (Event Driven)
• Implementations:
   – DirectChannel
   – PublishSubscribeChannel
   – QueueChannel
                                               <int:channel id="input">
   – PriorityChannel                              <int:queue capacity="10"/>
                                               </int:channel>
   – RendezvousChannel
   – ExecutorChannel
 19
What is an Endpoint?

•   Polling or event-driven
•   Inbound or outbound
•   Unidirectional (Channel Adapter) or bidirectional (Gateway)
•   Internal or external (application context)

         <inbound-channel-adapter/>
         <outbound-channel-adapter/>
         <inbound-gateway/>
         <outbound-gateway/>
         <gateway/>
         <service-activator/>

    20
Router

•   Message Router
•   Content-based router
•   Recipient list router (dynamic)
•   Payload type router
•   Header value router
•   Exception type router




    21
Transformer

•   Delegating via ref/method
•   Spring Expression Language
•   Groovy, JRuby, Jython, JavaScript
•   Object-to-JSON / JSON-to-Object
•   Payload serializing/deserializing
•   File-to-bytes, File-to-String
•   JAXB, JibX, Castor, XMLBeans, Xstream
•   XPath, XSLT
•   Object XML Marshalling/Unmarshalling (Spring OXM)
•   ...


    22
Spring Integration Components


• Claim Check (In/Out)          • Service Activator
• Content Enricher              • Scripting support (JSR 223)
   – Header Enricher               – Ruby/JRuby, Javascript ...
   – Payload Enricher           • Groovy
• Control Bus                   • Message History
• Delayer                       • Message Store
• JMX Support                      – JDBC, Redis, MongoDB,
• Message Handler Chain               Gemfire
• Messaging Bridge              • Wire Tap
• Resequencer                   • ...

 23
Adapters


•    AMQP/RabbitMQ   •   MongoDB                               • Stored Procedures
•    AWS*            •   POP3/IMAP/SMTP                        • TCP/UDP
•    File/Resource   •   Print*                                • Twitter
•    FTP/FTPS/SFTP   •   Redis                                 • Web Services
•    GemFire         •   RMI                                     (SOAP or POX)
•    HTTP (REST)     •   RSS/Atom                              • XMPP
•    JDBC            •   SMB*                                  • XPath
•    JMS             •   Splunk*                               • XQuery*
•    JMX             •   Spring Application
•    JPA                 Events                                • ...
                     * Spring Integration Extensions Project


    24
Tooling - Spring Tool Suite (STS)

• Namespace Support
• Visualization
• 4 Spring Integration specific STS Templates
  – Simple Template (Core Components only)
  – File Polling Template (File Adapter)
  – War Template (Uses Twitter Adapter)
  – Adapter Template (Create your own components)




 25
Tooling - IntelliJ IDEA


•   Spring Integration support since IDEA 10.5
•   Namespace Support
•   Bean visualization
•   IntelliJ IDEA 12 (Preview) supports Spring Integration 2.1 & 2.2




    26
Tooling - C24 Integration Objects (C24iO) Studio

• Supports a variety of standards:
  – SWIFT
  – ISO20022
  – FIX
• Namespace Support:

   <int-c24:transformer/>
   <int-c24:validating-header-enricher/>
   <int-c24:marshalling-transformer/>
   ...


• http://www.c24.biz/io-spring.html


  27
Café Demo


28
Café Demo - Flow




 29
Samples

• https://github.com/SpringSource/spring-integration-samples

• Contains 50 Samples and Applications
• Several Categories:
  – Basic
  – Intermediate
  – Advanced
  – Applications




 30
Books

• Just Spring Integration
• Pro Spring Integration
• Spring Integration in Action




  31
Source Code


•   https://github.com/SpringSource/spring-integration
•   https://github.com/SpringSource/spring-integration-samples
•   https://github.com/SpringSource/spring-integration-extensions
•   https://github.com/SpringSource/spring-integration-templates
•   https://github.com/SpringSource/spring-integration-dsl-groovy
•   https://github.com/SpringSource/spring-integration-dsl-scala




    32
Contribute

• Post Question and Answers the Forums
  – http://forum.springsource.org/forumdisplay.php?42-Integration
• Create Jiras
  – https://jira.springsource.org/browse/INT
• Submit Pull Requests - Contributor Guidelines:
  – github.com/SpringSource/spring-integration/wiki/Contributor-Guidelines

• New Spring Integration Extensions Repository




 33
Spring Batch


34
Batch Jobs
 Differ from online/real-time processing applications:

• Long-running
  – Often outside office hours
• Non-interactive
  – Often include logic for handling errors or restarts
• Process large volumes of data
  – More than fits in memory or a single transaction


 35
Batch and offline processing
• Close of business processing
    – Order processing
    – Business reporting
    – Account reconciliation
• Import/export handling
    – a.k.a. ETL jobs (Extract-Transform-Load)
    – Instrument/position import
    – Data warehouse synchronization
• Large-scale output jobs
    – Loyalty scheme emails
    – Bank statements
•   36
Job and Step




37
Chunk-Oriented Processing
• Input-output can be grouped together
• Input collects Items before outputting:Chunk-Oriented Processing
• Optional ItemProcessor




 38
JobLauncher




39
Simple File Load Job




 40
More Complex Use Cases
• It's very common to use an off-the-shelf reader
  and writer
• More complex jobs often require custom readers
  or writers
• ItemProcessor is often used if there's a need to
  delegate to existing business logic
• Use a writer if it's more efficient to process a
  complete chunk



 41
Job and Step in Context




 42
JobRepository and Batch Metadata




43
ExecutionContext
• We need to know where a failure occurred to restart a batch
  process
• Job Repository metadata is used to determine the step at
  which the failure occurred
• Application Code (in reader/writer) needs to maintain state
  within a step (e.g. current chunk)
• Spring Batch can supply that data during restart to facilitate
  repositioning



 44
Common Batch Idioms
• Batch jobs typically process large amounts of homogeneous
  input
• Makes iteration a common concern: Repeat
• Transient errors during processing may require a Retry of
  an input item
• Some input may not be valid, may want to Skip it without
  failing
• Some errors should fail the job execution, allowing one to fix
  the problem and Restart the job instance where it left off

 45
Spring Batch
• Spring Batch supports these common concerns

• Abstracts them in the framework
 – Job business logic doesn't need to care about details

• Allows for simple configuration with pluggable strategies




 46
Business Logic Delegation – Spring Application




 47
Business Logic Delegation – Spring Integration




 48
Spring Batch Admin
• Sub project of Spring Batch
• Provides Web UI and ReSTFul interface to manage batch
  processes

• Manager, Resources, Sample WAR
 – Deployed with batch job(s) as single app to be able to control &
  monitor jobs
 – Or monitors external jobs only via shared database



 49
Scaling and Parallel Processing
• First Rule:
  – Use the simplest technique to get the job done in the required
   time
  – Do not optimize/parallelize unnecessarily

• Options:
  –   Multi-threaded Step (single process)
  –   Parallel Steps (single process)
  –   Remote Chunking of Step (multi process)
  –   Partitioning a Step (single or multi process)

 50
Using Spring Batch
            and
     Spring Integration
          together
51
Launching batch jobs through messages

• Event-Driven execution of the JobLauncher
• Spring Integration retrieves the data (e.g. file system, FTP, ...)
• Easy to support separate input sources simultaneously

              Inbound Channel Adapter          Transformer


       FTP




                                        D
                                File                           C
                                            JobLaunchRequest

                                                                   JobLauncher




  52
Providing feedback with informational messages

• Spring Batch provides support for listeners:
  – StepListener
  – ChunkListener
  – JobExecutionListener

             <batch:job id="importPayments">
               ...
               <batch:listeners>
                   <batch:listener ref="notificationExecutionsListener"/>
               </batch:listeners>
             </batch:job>

             <int:gateway id="notificationExecutionsListener"
               service-interface="o.s.batch.core.JobExecutionListener"
               default-request-channel="jobExecutions"/>


  53
Externalizing batch process execution

• Use Spring Integration inside of Batch jobs, e.g.:
  – ItemProcessor
  – ItemWriter
• Offload complex processing
• Asynchronous processing support:
  – AsyncItemProcessor
  – AsyncItemWriter
• Externalize chunk processing using ChunkMessageChannelItemWriter




 54
Learn More. Stay Connected.
At SpringOne 2GX:

• Building an Enterprise CRM with Grails and Spring Integration
• What's New in Spring Integration
• Spring Integration in the Wild
• Batch Processing and Integration on Cloud Foundry
• Building for Performance with Spring Integration & Spring Batch
• Spring Integration, Batch, and Data: Future Directions
• Managing and Monitoring Spring Integration Applications
• Java Batch JSR-352


 55
Learn More. Stay Connected.
• Web: www.springintegration.org
• Twitter: @m_f_ @ghillert @z_oleg @gprussell




                         Questions?

                               Thank You!!




 56
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S2GX 2012 - Introduction to Spring Integration and Spring Batch

  • 1. Introduction to Spring Integration and Spring Batch Gunnar Hillert, Spring Integration Team Gary Russell, Spring Integration Team Twitter: @ghillert, @gprussell © 2012 SpringOne 2GX. All rights reserved. Do not distribute without permission.
  • 2. What we will cover... • Spring Integration • Spring Batch • Using Spring Batch and Spring Integration together 2
  • 4. Integration Styles JVM JVM Core Messaging EAI • Business to Business Integration (B2B) • Inter Application Integration (EAI) • Intra Application Integration B2B External Business Partner 4
  • 5. Integration Styles • File Transfer • Shared Database • Remoting • Messaging 5
  • 6. Common Patterns Retrieve Parse Transform Transmit 6
  • 7. Enterprise Integration Patterns • By Gregor Hohpe & Bobby Woolf • Published 2003 • Collection of well-known patterns • http://www.eaipatterns.com/eaipatterns.html • Icon library provided 7
  • 8. Spring Integration provides an extension of the Spring programming model to support the well-known enterprise integration patterns. 8
  • 9. History • Nov 13, 2007 - First commit: Nov 13, 2007 • Jan 23, 2008 - Spring Integration 1.0.0.M1 • Nov 26, 2008 - Spring Integration 1.0.0 • Nov 22, 2010 - Spring Integration 2.0.0 • Jan 6, 2012 - Spring Integration 2.1.0 • Sep 21, 2012 - Spring Integration 2.2.0.RC1 • 2013 - Spring Integration 3.0 9
  • 10. What is Spring Integration? • Light-weight messaging framework • Provides an adapter-based platform • Pipes and Filters at the core of Spring Integration’s architecture – Endpoint (Filter) – Channel (Pipe) – Message 10
  • 11. Advantages • Provides building blocks to implement systems that are: – are loosely Coupled (Logically or Physically) – are Event Driven (EDA) – have a staged event-driven architecture (SEDA) • Sophisticated support for synchronous / asynchronous messaging 11
  • 12. Configuration • XML Namespace Support • Annotation Support (e.g. @Transformer, @Router, @ServiceActivator) <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:int="http://www.springframework.org/schema/integration" xsi:schemaLocation=".."> ... <int:channel id="orders"/> <int:splitter input-channel="orders" expression="payload.items" output-channel="drinks"/> <int:channel id="drinks"/> <int:router input-channel="drinks" expression="payload.iced ? 'coldDrinks' : 'hotDrinks'"/> ... </beans> 12
  • 13. Spring Integration DSLs • Scala val messageFlow = filter {payload: String => payload == "World"} --> transform { payload: String => "Hello " + payload} --> handle { payload: String => println(payload) } messageFlow.send("World") • Groovy def builder = new IntegrationBuilder() def flow = builder.messageFlow { transform {payload->payload.toUpperCase()} filter {payload-> payload =="HELLO"} handle {payload->payload} } assert flow.sendAndReceive("hello") == "HELLO" assert flow.sendAndReceive("world") == null 13
  • 14. Deployment Options • Embedded as a library • Stand-alone deployment • War deployment 14
  • 15. What is in a Message? • Unit of information • Encapsulates data • Passed between endpoints • Consists of headers – contains data relevant to the messaging system • and a payload – actual data for the receiver – depending on use-cases: POJO instances or serialized data 15
  • 16. What is in a Message? package org.springframework.integration; public interface Message<T> { MessageHeaders getHeaders(); T getPayload(); } 16
  • 17. Message Headers • Message ID (automatically generated UUID) • Timestamp • Correlation Id • Reply Channel • Error Channel • Expiration Date • Priority • ... • Add your own headers using a Header Enricher 17
  • 18. Function of a Message • Command Message C • Event Message E • Document Message D 18
  • 19. What is a Channel? • Channels connect producers and consumers (decoupling) • MessageChannel Interface: – PollableChannel (Polling Consumer) – SubscribableChannel (Event Driven) • Implementations: – DirectChannel – PublishSubscribeChannel – QueueChannel <int:channel id="input"> – PriorityChannel <int:queue capacity="10"/> </int:channel> – RendezvousChannel – ExecutorChannel 19
  • 20. What is an Endpoint? • Polling or event-driven • Inbound or outbound • Unidirectional (Channel Adapter) or bidirectional (Gateway) • Internal or external (application context) <inbound-channel-adapter/> <outbound-channel-adapter/> <inbound-gateway/> <outbound-gateway/> <gateway/> <service-activator/> 20
  • 21. Router • Message Router • Content-based router • Recipient list router (dynamic) • Payload type router • Header value router • Exception type router 21
  • 22. Transformer • Delegating via ref/method • Spring Expression Language • Groovy, JRuby, Jython, JavaScript • Object-to-JSON / JSON-to-Object • Payload serializing/deserializing • File-to-bytes, File-to-String • JAXB, JibX, Castor, XMLBeans, Xstream • XPath, XSLT • Object XML Marshalling/Unmarshalling (Spring OXM) • ... 22
  • 23. Spring Integration Components • Claim Check (In/Out) • Service Activator • Content Enricher • Scripting support (JSR 223) – Header Enricher – Ruby/JRuby, Javascript ... – Payload Enricher • Groovy • Control Bus • Message History • Delayer • Message Store • JMX Support – JDBC, Redis, MongoDB, • Message Handler Chain Gemfire • Messaging Bridge • Wire Tap • Resequencer • ... 23
  • 24. Adapters • AMQP/RabbitMQ • MongoDB • Stored Procedures • AWS* • POP3/IMAP/SMTP • TCP/UDP • File/Resource • Print* • Twitter • FTP/FTPS/SFTP • Redis • Web Services • GemFire • RMI (SOAP or POX) • HTTP (REST) • RSS/Atom • XMPP • JDBC • SMB* • XPath • JMS • Splunk* • XQuery* • JMX • Spring Application • JPA Events • ... * Spring Integration Extensions Project 24
  • 25. Tooling - Spring Tool Suite (STS) • Namespace Support • Visualization • 4 Spring Integration specific STS Templates – Simple Template (Core Components only) – File Polling Template (File Adapter) – War Template (Uses Twitter Adapter) – Adapter Template (Create your own components) 25
  • 26. Tooling - IntelliJ IDEA • Spring Integration support since IDEA 10.5 • Namespace Support • Bean visualization • IntelliJ IDEA 12 (Preview) supports Spring Integration 2.1 & 2.2 26
  • 27. Tooling - C24 Integration Objects (C24iO) Studio • Supports a variety of standards: – SWIFT – ISO20022 – FIX • Namespace Support: <int-c24:transformer/> <int-c24:validating-header-enricher/> <int-c24:marshalling-transformer/> ... • http://www.c24.biz/io-spring.html 27
  • 29. Café Demo - Flow 29
  • 30. Samples • https://github.com/SpringSource/spring-integration-samples • Contains 50 Samples and Applications • Several Categories: – Basic – Intermediate – Advanced – Applications 30
  • 31. Books • Just Spring Integration • Pro Spring Integration • Spring Integration in Action 31
  • 32. Source Code • https://github.com/SpringSource/spring-integration • https://github.com/SpringSource/spring-integration-samples • https://github.com/SpringSource/spring-integration-extensions • https://github.com/SpringSource/spring-integration-templates • https://github.com/SpringSource/spring-integration-dsl-groovy • https://github.com/SpringSource/spring-integration-dsl-scala 32
  • 33. Contribute • Post Question and Answers the Forums – http://forum.springsource.org/forumdisplay.php?42-Integration • Create Jiras – https://jira.springsource.org/browse/INT • Submit Pull Requests - Contributor Guidelines: – github.com/SpringSource/spring-integration/wiki/Contributor-Guidelines • New Spring Integration Extensions Repository 33
  • 35. Batch Jobs Differ from online/real-time processing applications: • Long-running – Often outside office hours • Non-interactive – Often include logic for handling errors or restarts • Process large volumes of data – More than fits in memory or a single transaction 35
  • 36. Batch and offline processing • Close of business processing – Order processing – Business reporting – Account reconciliation • Import/export handling – a.k.a. ETL jobs (Extract-Transform-Load) – Instrument/position import – Data warehouse synchronization • Large-scale output jobs – Loyalty scheme emails – Bank statements • 36
  • 38. Chunk-Oriented Processing • Input-output can be grouped together • Input collects Items before outputting:Chunk-Oriented Processing • Optional ItemProcessor 38
  • 41. More Complex Use Cases • It's very common to use an off-the-shelf reader and writer • More complex jobs often require custom readers or writers • ItemProcessor is often used if there's a need to delegate to existing business logic • Use a writer if it's more efficient to process a complete chunk 41
  • 42. Job and Step in Context 42
  • 43. JobRepository and Batch Metadata 43
  • 44. ExecutionContext • We need to know where a failure occurred to restart a batch process • Job Repository metadata is used to determine the step at which the failure occurred • Application Code (in reader/writer) needs to maintain state within a step (e.g. current chunk) • Spring Batch can supply that data during restart to facilitate repositioning 44
  • 45. Common Batch Idioms • Batch jobs typically process large amounts of homogeneous input • Makes iteration a common concern: Repeat • Transient errors during processing may require a Retry of an input item • Some input may not be valid, may want to Skip it without failing • Some errors should fail the job execution, allowing one to fix the problem and Restart the job instance where it left off 45
  • 46. Spring Batch • Spring Batch supports these common concerns • Abstracts them in the framework – Job business logic doesn't need to care about details • Allows for simple configuration with pluggable strategies 46
  • 47. Business Logic Delegation – Spring Application 47
  • 48. Business Logic Delegation – Spring Integration 48
  • 49. Spring Batch Admin • Sub project of Spring Batch • Provides Web UI and ReSTFul interface to manage batch processes • Manager, Resources, Sample WAR – Deployed with batch job(s) as single app to be able to control & monitor jobs – Or monitors external jobs only via shared database 49
  • 50. Scaling and Parallel Processing • First Rule: – Use the simplest technique to get the job done in the required time – Do not optimize/parallelize unnecessarily • Options: – Multi-threaded Step (single process) – Parallel Steps (single process) – Remote Chunking of Step (multi process) – Partitioning a Step (single or multi process) 50
  • 51. Using Spring Batch and Spring Integration together 51
  • 52. Launching batch jobs through messages • Event-Driven execution of the JobLauncher • Spring Integration retrieves the data (e.g. file system, FTP, ...) • Easy to support separate input sources simultaneously Inbound Channel Adapter Transformer FTP D File C JobLaunchRequest JobLauncher 52
  • 53. Providing feedback with informational messages • Spring Batch provides support for listeners: – StepListener – ChunkListener – JobExecutionListener <batch:job id="importPayments"> ... <batch:listeners> <batch:listener ref="notificationExecutionsListener"/> </batch:listeners> </batch:job> <int:gateway id="notificationExecutionsListener" service-interface="o.s.batch.core.JobExecutionListener" default-request-channel="jobExecutions"/> 53
  • 54. Externalizing batch process execution • Use Spring Integration inside of Batch jobs, e.g.: – ItemProcessor – ItemWriter • Offload complex processing • Asynchronous processing support: – AsyncItemProcessor – AsyncItemWriter • Externalize chunk processing using ChunkMessageChannelItemWriter 54
  • 55. Learn More. Stay Connected. At SpringOne 2GX: • Building an Enterprise CRM with Grails and Spring Integration • What's New in Spring Integration • Spring Integration in the Wild • Batch Processing and Integration on Cloud Foundry • Building for Performance with Spring Integration & Spring Batch • Spring Integration, Batch, and Data: Future Directions • Managing and Monitoring Spring Integration Applications • Java Batch JSR-352 55
  • 56. Learn More. Stay Connected. • Web: www.springintegration.org • Twitter: @m_f_ @ghillert @z_oleg @gprussell Questions? Thank You!! 56

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