This document provides an agenda and overview of Spring Integration. It discusses message channels, endpoints, examples, and the history and benefits of Spring Integration. Building blocks like messages, channels and endpoints are explained. Common integration patterns like pipes and filters and bridges are also mentioned. Performance metrics around latency and throughput requirements are briefly covered.

1. Spring Integration HandsOn
Mak Bhatamrekar
http://github.com/makrand-bkar
AJCP
http://meetup.com/my-ajcp
Atlanta Java Concept Pros

2. Agenda
• Introduction
• Message Channel
• End Points
• Example
• Recap

3. • Applications Need to Talk
• Strategies
– File Sharing
– Single Database
– Messaging
• Most common Approach for
EAI and Basis of SI
• Messages can be Enriched,
Transformed, Routed, Filtered

4. SI History
• Nov 2007 – First Commit
• Nov 2008 – 1.0
• Nov 2010 – 2.0
• Jun 2013 – 2.2.4

5. Why Spring SI
• Spring has a good footprint
• Large Range of EndPoint Adapters
– File systems, FTP, REST, Sockets etc
• Light Weight
• POJO Based
• Non Intrusive
• Zero Configuration

6. 
Before

7. After

8. Building Blocks

9. SI Building Blocks
• Messages
• Channels
• EndPoints

10. Message
• public org.springframework.integration;
public interface Message<T>{
MessageHeaders getHeaders();
T getPayload();
}
• MessageBuilder – Spring Impl

11. Message Channel
• Decouples Consumers and Producers
• Point to Point or Pub/Sub
• Enforces Data Type Consistency
Spring Integration Has Pipes And Filters as Core Integration Pattern

12. <beans>
…
<int:channel id=“newAccounts”/>
</beans>

13. Message Channel
• P2P
– PollableChannel
• receive()
• receive(long timeout)
– Queue/Priority/Rendezv
ous
• Pub / Sub
– Subscribable Channel
• Subscribe()
• UnSubscribe
– MessageHandler
• handleMessage(msg)
• Message Buffering
• Message Channel Intf
boolean send(long timeout)

14. Channel Selection
• Sharing Context -
– ThreadLocal / ThreadContext / Stack
• Atomic Boundaries
• Buffering

15. Enterprise Integration Patterns
• Pipes And Filter
• Bridge

16. EndPoints
• Produces /Consumes Messages For Channel
• Out of the box endpoints
– Adapters, Transformers
– Filters, Routing , Splitter, Aggregation
– Message Enricher, Delayer
• UniDirectional / BiDirectional
– Adapters – UniDirection
– Gateways - BiDirectional

17. Transformer

18. Message Adapter

19. Service Activator
<int:service-activator input-channel="positions-channel"
ref="newPositionProcessor"
method="processNewPosition">
</int:service-activator>

20. Message Translator/ Transformer
<int:object-to-map-transformer
input-channel="in-channel"
output-channel="stdout">
</int:object-to-map-transformer>
• E.G Map, Object To String, XML, JSON
• Custom Transformers Can be added by Annotations too like @Transformer

21. Rube Goldberg Scenario

22. Performance

23. Performance – MS Value
• Amazon – 100ms == 1% of lost sales
• Yahoo – 400 ms == drops traffic 5-9%

24. Typical Requirements
• Latency Requirements
– Few ms +
• Throughtput Requirements
– Message type dependant
– 10s of hundreds of thousands
Source : Andrew
Elmorehttp://www.springsource.org/node/22599

26. Simple Test Stats
• Results
– Throughtput – 350K messages/ sec
– Latency - < 4us

27. References
• Spring Integration Homepage http://www.springsource.org/spring-
integration
• Spring Expression
http://static.springsource.org/spring/docs/3.0.x/reference/expressions.html
• http://www.javacodegeeks.com/2012/06/rube-goldberg-spring-
integration_22.html

28. Spring Integration Hands On
Mak Bhatamrekar
github :http://github.com/makrand-bkar
twitter : mak-bkar
url : www.careerinjava.com
http://meetup.com/my-ajcp
Atlanta Java Concept Pros