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S2GX 2012 - Introduction to Spring Integration and Spring Batch

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In this session you will learn what Spring Integration and Spring Batch are all about, how they differ, their commonalities, and how you can use Spring Batch and Spring Integration together.
We will provide a short overview of the Enterprise Integration Patterns (EIP) as described in the highly influential book of the same name. Based on these patterns, we will then see how Spring Integration enables the development of Message-driven applications. This allows you to not only modularize new or existing applications but also makes it easy to integrate with external systems.
This session will also introduce Spring Batch. Spring Batch addresses the needs of any batch process, be it complex calculations in large financial institutions or simple data migration tasks as they exist in many software development projects. We will cover what Spring Batch is, how Spring approaches the concepts of batch and how Spring handles scaling batch processes to be able to handle any volume of data.
You will also see how Spring Integration and Spring Batch maximize the reuse of the integration support provided by the core Spring Framework. In addition to providing a robust, proven foundation, this also flattens the learning curve considerably to all developers already familiar with Spring.

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S2GX 2012 - Introduction to Spring Integration and Spring Batch

  1. 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. 2. What we will cover...• Spring Integration• Spring Batch• Using Spring Batch and Spring Integration together 2
  3. 3. Spring Integration3
  4. 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. 5. Integration Styles• File Transfer• Shared Database• Remoting• Messaging 5
  6. 6. Common Patterns Retrieve Parse Transform Transmit 6
  7. 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. 8. “ Spring Integration provides an extension of the Spring programming model to support the well-known enterprise integration patterns.8
  9. 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. 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. 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. 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. 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. 14. Deployment Options• Embedded as a library• Stand-alone deployment• War deployment 14
  15. 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. 16. What is in a Message? package org.springframework.integration; public interface Message<T> { MessageHeaders getHeaders(); T getPayload(); } 16
  17. 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. 18. Function of a Message• Command Message C• Event Message E• Document Message D 18
  19. 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. 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. 21. Router• Message Router• Content-based router• Recipient list router (dynamic)• Payload type router• Header value router• Exception type router 21
  22. 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. 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. 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. 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. 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. 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
  28. 28. Café Demo28
  29. 29. Café Demo - Flow 29
  30. 30. Samples• https://github.com/SpringSource/spring-integration-samples• Contains 50 Samples and Applications• Several Categories: – Basic – Intermediate – Advanced – Applications 30
  31. 31. Books• Just Spring Integration• Pro Spring Integration• Spring Integration in Action 31
  32. 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. 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
  34. 34. Spring Batch34
  35. 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. 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
  37. 37. Job and Step37
  38. 38. Chunk-Oriented Processing• Input-output can be grouped together• Input collects Items before outputting:Chunk-Oriented Processing• Optional ItemProcessor 38
  39. 39. JobLauncher39
  40. 40. Simple File Load Job 40
  41. 41. More Complex Use Cases• Its 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 theres a need to delegate to existing business logic• Use a writer if its more efficient to process a complete chunk 41
  42. 42. Job and Step in Context 42
  43. 43. JobRepository and Batch Metadata43
  44. 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. 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. 46. Spring Batch• Spring Batch supports these common concerns• Abstracts them in the framework – Job business logic doesnt need to care about details• Allows for simple configuration with pluggable strategies 46
  47. 47. Business Logic Delegation – Spring Application 47
  48. 48. Business Logic Delegation – Spring Integration 48
  49. 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. 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. 51. Using Spring Batch and Spring Integration together51
  52. 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. 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. 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. 55. Learn More. Stay Connected.At SpringOne 2GX:• Building an Enterprise CRM with Grails and Spring Integration• Whats 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. 56. Learn More. Stay Connected.• Web: www.springintegration.org• Twitter: @m_f_ @ghillert @z_oleg @gprussell Questions? Thank You!! 56

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