Batch Processing - A&BP CC
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A lot of projects sooner or later encounter the challenge of processing huge data sets. You might want to choose a system where you receive the requests, but process them later on to avoid a system overload, eg. during the night. During this workshop we will teach you the principles of batch processing. We will try to explain the matter in a framework independant way, but we will concretize the theory with code samples using the Spring Batch Framework.
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Batch Processing - A&BP CC
- 5. Batch processing ≠ Scheduling Batch processing Scheduling Process large volumes of data Scheduling tasks eg. Spring Batch, JEE eg. Quartz, Obsidian
- 8. Categorize based on responsibility ▪ ▪ ▪ ▪ ▪ ▪
- 9. Categorize based on input source ▪ ▪ ▪
- 13. Transactions are handled at the step level ▪ ▪
- 14. Transaction management in steps (tasklets) Step 1 Step 2 Step 3 Transaction Transaction Transaction x nn
- 15. Example: chunk-oriented step <step id="importProductsStep"> <tasklet> <chunk reader="reader" writer="writer" commit-interval="100" /> <transaction-attributes isolation="READ_UNCOMMITTED" /> </tasklet> </step> Transaction
- 16. Transaction management in listeners ▪ ▪ ▪ ▪ ChunkListener beforeChunk afterChunk
- 17. Transactional reader <step id="importProductsStep"> <tasklet> <chunk reader="reader" writer="writer" commit-interval="100" reader-transactional-queue="true"/> <transaction-attributes isolation="READ_UNCOMMITTED" /> </tasklet> </step>
- 20. Transaction management patterns ▪ … ▪ ▪
- 22. Drawbacks to global transactions ▪ ▪ ▪ ▪ ▪ ▪ ▪
- 23. Shared resource transaction pattern ▪
- 24. Best effort pattern with JMS
- 25. What can go wrong with JMS? ▪ ▪
- 26. Best effort pattern with JMS commit start commit start Chunk local transaction JMS local transaction timeline Commits are synchronized <bean id="jmsTemplate" class="org.springframework.jms.core.JmsTemplate"> <property name="connectionFactory" ref="connectionFactory" /> <property name="defaultDestination" ref="orderQueue" /> <property name="receiveTimeout" value="100" /> <property name="sessionTransacted" value="true" /> </bean>
- 27. JMS failure will result in a duplicate message commit start commit start Chunk local transaction JMS local transaction timeline Commits are synchronized failed
- 28. Handling duplicate messages with manual detection ▪ ▪
- 29. Handling duplicate messages with manual detection
- 30. Handling duplicate messages with idempotency
- 32. Execution flows
- 34. Standard flow
- 35. Conditional flow - example
- 36. Conditional flow
- 43. Parallel execution - types ▪ ▪ ▪
- 44. Parallel execution - Multithreaded ▪ ▪ ▪
- 45. Parallel execution - Remote chunking ▪ ▪ ▪ ▪ ▪ ▪
- 46. Parallel execution - Step partitioning ▪ ▪ ▪ ▪
- 47. Parallel execution - Step partitioning
- 48. Parallel execution - Step partitioning example
- 51. Introduction ▪ ▪
- 57. Processing the lines we just read ▪ ▪ KmPerHourCalculator ▪ null
- 58. Writing the data
- 59. Writing the Fines ▪ ▪ BeanWrapperFieldExtractor DelimitedLineAggregator
- 60. Adding it all together ▪ ▪ BatchConfiguration ▪ ▪ ▪ ▪ Step ▪ ▪
- 64. Spring Batch and JEE
- 65. JSR-352 ▪ ▪ ▪ ▪
- 68. org.springframework.batch.core. SkipListener#onSkipInWrite(S item, Throwable t) javax.batch.api.chunk.listener. SkipWriteListener#onSkipWriteItem(List<Object> items, Exception ex) JSR-352 Spring vs. JEE
- 69. Questions?