- 1. Spring Batch Introduction
- 2. What's New in Spring Batch 3.0
- 3. The Domain Language of Batch
- 4. Configuring and Running a Job
- 5. Configuring a Step
- 5.1. Chunk-Oriented Processing
- 5.1.1. Configuring a Step
- 5.1.2. Inheriting from a Parent Step
- 5.1.3. The Commit Interval
- 5.1.4. Configuring a Step for Restart
- 5.1.5. Configuring Skip Logic
- 5.1.6. Configuring Retry Logic
- 5.1.7. Controlling Rollback
- 5.1.8. Transaction Attributes
- 5.1.9. Registering ItemStreams with the Step
- 5.1.10. Intercepting Step Execution
- 5.2. TaskletStep
- 5.3. Controlling Step Flow
- 5.4. Late Binding of Job and Step Attributes
- 5.1. Chunk-Oriented Processing
- 6. ItemReaders and ItemWriters
- 6.1. ItemReader
- 6.2. ItemWriter
- 6.3. ItemProcessor
- 6.4. ItemStream
- 6.5. The Delegate Pattern and Registering with the Step
- 6.6. Flat Files
- 6.7. XML Item Readers and Writers
- 6.8. Multi-File Input
- 6.9. Database
- 6.10. Reusing Existing Services
- 6.11. Validating Input
- 6.12. Preventing State Persistence
- 6.13. Creating Custom ItemReaders and ItemWriters
- 7. Scaling and Parallel Processing
- 8. Repeat
- 9. Retry
- 10. Unit Testing
- 11. Common Batch Patterns
- 11.1. Logging Item Processing and Failures
- 11.2. Stopping a Job Manually for Business Reasons
- 11.3. Adding a Footer Record
- 11.4. Driving Query Based ItemReaders
- 11.5. Multi-Line Records
- 11.6. Executing System Commands
- 11.7. Handling Step Completion When No Input is Found
- 11.8. Passing Data to Future Steps
- 12. JSR-352 Support
- 13. Spring Batch Integration
- A. List of ItemReaders and ItemWriters
- B. Meta-Data Schema
- C. Batch Processing and Transactions
- C.1. Simple Batching with No Retry
- C.2. Simple Stateless Retry
- C.3. Typical Repeat-Retry Pattern
- C.4. Asynchronous Chunk Processing
- C.5. Asynchronous Item Processing
- C.6. Interactions Between Batching and Transaction Propagation
- C.7. Special Case: Transactions with Orthogonal Resources
- C.8. Stateless Retry Cannot Recover
- Glossary