This document provides an overview and introduction to Spring Batch, Spring Integration, and Spring XD. It discusses key concepts and features of Spring Batch for batch processing and Spring Integration for enterprise integration. It also demonstrates how Spring Batch and Spring Integration can be used together for batch integration use cases. Finally, it introduces Spring XD for unified data ingestion, analytics, and export capabilities using existing Spring projects. The presentation includes code samples and links to documentation and GitHub repositories for further information.

1. © 2013 SpringOne 2GX. All rights reserved. Do not distribute without permission.
Integrating Spring Batch and Spring Integration
By Gunnar Hillert
Twitter: @ghillert
Atlanta Java Users Group
20 Aug 2013
Wednesday, August 21, 13

2. What we will cover...
• Spring Batch
• Spring Integration
• Spring Batch Integration
• Spring XD
2
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3. 3
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4. The Pivotal One Platform
• Application Fabric
– Languages, Frameworks, Services, Analytics
• Data Fabric
– High Capacity, Real-time, Ingest & Query, Scale-out, Storage
• Cloud Fabric
– Automation, Service Registry, Cloud Independence
4
GemFire
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5. Spring Stack
DI AOP TX JMS JDBC
MVC Testing
ORM OXM Scheduling
JMXREST Caching Profiles Expression
Spring Framework
HATEOAS
JPA 2.0 JSF 2.0 JSR-250 JSR-330 JSR-303 JTA JDBC 4.1
Java EE 1.4+/SE5+
JMX 1.0+WebSphere 6.1+
WebLogic 9+
GlassFish 2.1+
Tomcat 5+
OpenShift
Google App Eng.
Heroku
AWS Beanstalk
Cloud Foundry
Spring Web Flow Spring Security
Spring Batch Spring Integration
Spring Security OAuth
Spring Social
Twitter LinkedIn Facebook
Spring Web Services
Spring AMQP
Spring Data
Redis HBase
MongoDB JDBC
JPA QueryDSL
Neo4j
GemFire
Solr Splunk
HDFS MapReduce Hive
Pig Cascading
Spring for Apache Hadoop
SI/Batch
Spring XD
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6. 6
Spring Batch
http://www.springsource.org/spring-batch
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7. 7
Batch processing ... is defined as the
processing of data without interaction or
interruption.“ Michael T. Minella, Pro Spring Batch
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8. Batch Jobs
• 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
8
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9. 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
9
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10. Features
• Transaction management
• Chunk based processing
• Declarative I/O
• Start/Restart/Skip capabilities
• Web administration interface
• Based on the Spring framework
• JSR 352: Batch Applications for the Java Platform
10
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11. Demo
11
Hello Spring Batch
https://github.com/ghillert/spring-batch-sample-hello
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12. Concepts
• Job
• Step
• Item
• Chunk
12
Repeat | Retry | Skip | Restart
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13. Chunk-Oriented Processing
• Input-output can be grouped together
• Input collects Items before outputting: Chunk-Oriented
Processing
• Optional ItemProcessor
13
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14. Chunk-Oriented Processing
14
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15. JobLauncher
15
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16. Simple File Load Job
16
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17. ItemReaders and ItemWriters
• Flat File
• XML (StAX)
• Multi-File Input
• Database
– JDBC, JPA/Hibernate, Stored Procedures
• Implement your own...
17
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18. Job Repository
18
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19. Spring Batch Admin
• Sub project of Spring Batch
• Provides Web UI and REST 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
19
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20. 20
Spring Integration
http://www.springsource.org/spring-integration
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21. Integration Styles
• Business to Business
Integration (B2B)
• Inter Application
Integration (EAI)
• Intra Application Integration
21
JVM JVM
EAI
External Business
Partner
B2B
Core Messaging
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22. Integration Styles
• File Transfer
• Shared Database
• Remoting
• Messaging
22
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23. Common Patterns
23
Retrieve Parse Transform Transmit
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24. Enterprise Integration Patterns
• By Gregor Hohpe & Bobby Woolf
• Published 2003
• Collection of well-known patterns
• Icon library provided
24
http://www.eaipatterns.com/eaipatterns.html
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25. 25
Spring Integration provides an extension
of the Spring programming model
to support the well-known enterprise
integration patterns.
“ Spring Integration Website
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26. Spring Integration Components
26
• Claim Check (In/Out)
• Content Enricher
• Header Enricher
• Payload Enricher
• Control Bus
• Delayer
• JMX Support
• Message Handler Chain
• Messaging Bridge
• Resequencer
• Service Activator
• Scripting support (JSR 223)
• Ruby/JRuby, Javascript ...
• Groovy
• Message History
• Message Store
• JDBC, Redis, MongoDB, Gemfire
• Wire Tap
• ...
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27. Adapters
27
• AMQP/RabbitMQ
• AWS*
• File/Resource
• FTP/FTPS/SFTP
• GemFire
• HTTP (REST)
• JDBC
• JMS
• JMX
• JPA
• MongoDB
• POP3/IMAP/SMTP
• Print*
• Redis
• RMI
• RSS/Atom
• SMB*
• Splunk*
• Spring Application
Events
• Stored Procedures
• TCP/UDP
• Twitter
• Web Services
• XMPP
• XPath
• XQuery*
• ...
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28. 28
Spring Batch Integration
https://github.com/SpringSource/spring-batch-admin/
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29. 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
29
D
C
FTP
Inbound Channel Adapter
JobLauncher
Transformer
File
JobLaunchRequest
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30. JobLaunchRequest
30
public class FileMessageToJobRequest {
private Job job;
private String fileParameterName;
...
@Transformer
public JobLaunchRequest toRequest(Message<File> message) {
JobParametersBuilder jobParametersBuilder = new JobParametersBuilder();
jobParametersBuilder.addString(fileParameterName,
message.getPayload().getAbsolutePath());
return new JobLaunchRequest(job, jobParametersBuilder.toJobParameters());
}
}
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31. DefaultJobParametersConverter
• Convert (textual) Properties/Maps to JobParameters
• Provide Typed Parameters
– Date
– String
– Long
– Double
• Provide Date+Number Format
• Define Identifying / Non-Identifying Parameters
31
myDateParam(date)=2013/08/20
aStringParameter=Hello AJUG
-stringParamNOTIdentifying=Hello AJUG
aNumberParameter(Long)=123456
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32. JobLaunchRequest
32
<batch-int:job-launching-gateway request-channel="requestChannel"
reply-channel="replyChannel"
job-launcher="jobLauncher"/>
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33. Get feedback with informational messages
• Spring Batch provides support for listeners:
– StepListener
– ChunkListener
– JobExecutionListener
33
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34. Get feedback with informational messages
34
<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"/>
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35. 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
35
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36. Remote Chunking
36
ItemReader
ItemWriter
ItemProcessor
Step4
ItemReader
ItemWriter
ItemProcessor
Step2b
ItemReader
ItemWriter
Step2
ItemReader
ItemWriter
ItemProcessor
Step1
ItemReader
ItemWriter
ItemProcessor
Step2a
ItemReader
ItemWriter
ItemProcessor
Step2c
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37. Asynchronous Processors
• AsyncItemWriter
• AsyncItemProcessor
37
Reader
Gateway
Output
Input
Processor Writer
ResultItem
Item Result
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38. Remote Partitioning
38
ItemReader
ItemWriter
ItemProcessor
Step3
ItemReader
ItemWriter
ItemProcessor
Slave 2
Master
ItemReader
ItemWriter
ItemProcessor
Step1
ItemReader
ItemWriter
ItemProcessor
Slave 1
ItemReader
ItemWriter
ItemProcessor
Slave 3
Partitioner
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39. Remote Partitioning
39
Partition
Handler
Remote
Step
Master
Slave
request
gateway
stagingaggregatorreply
gateway
staging
request
serviceActivator
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40. Demo
40
Payment Import
https://github.com/ghillert/spring-batch-integration-sample
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41. 41
Spring XD
http://www.springsource.org/spring-xd
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42. Tackling Big Data Complexity
• Unified agile experience for
• Data Ingestion
• Real-time Analytics
• Workflow Orchestration
• Data Export
42
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43. Tackling Big Data Complexity cont.
• Built on existing assets
– Spring Integration
– Spring Batch
– Spring Data
• Redis, GemFire, Hadoop
• XD = 'eXtreme Data’
43
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44. Data Ingestion Streams
• DSL based on Unix pipes and filters syntax
• Modules are parameterizable
• Simple logic can be added via expressions or scripts
44
http | file
twittersearch --query=spring | file --dir=/spring
http |
filter --expression=”payload?.customerCode matches ‘GOLD[0-9]+’”
| hdfs
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45. Hadoop workflow managed by Spring Batch
• Reuse Batch infrastructure and features to
manage Hadoop workflows
– Job state management, launching,
monitoring, restart/retry policies, etc.
• Step can be any Hadoop job type or HDFS
script
• Can mix and match with other Batch
readers/writers
– (e.g. JDBC for import/export use-cases)
45
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46. Demo
46
Spring XD
Batch Word-count Sample
https://github.com/SpringSource/spring-xd-samples
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47. Books
47
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48. Learn More. Stay Connected.
Twitter: twitter.com/springframework
YouTube: youtube.com/user/SpringSourceDev
Google +: plus.google.com/+springframework
LinkedIn: springsource.org/linkedin
Facebook: facebook.com/groups/springsource
Questions?
Thank You!!
Wednesday, August 21, 13