Batch Processing in Action
summary
Spring Batch is shown as a practical framework: a Spring Boot app uses the framework’s auto-created job repository tables, built-in readers and writers (flat files, JDBC) and an async JobLauncher with a ThreadPoolTaskExecutor. Demos read CSVs, apply a processor to uppercase names and filter to the top three, and write to a database with chunk size 2 demo committing per chunk; a multi-file reader demo ingests many files in one step. Fault tolerance, skip and retry (retry twice, skip limit three), listeners, partitioning/remote chunking and conditional/split flows are implemented and observed to work.
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chapters (15)
- 0:00Start
- 0:12Batch Processing in Action
- 4:17Demos
- 11:24The Problem of Making a Request to a Synchronous Task
- 12:20Create a Sync Job Launcher
- 24:12Multi File Job
- 24:26Resource Item Reader
- 28:19Spring Batch Providers
- 29:44Job Execution Listener
- 30:38Parent Job
- 31:39Chunk Listeners
- 34:46Split
- 35:56Scale and Do Parallel Processing Using Spring Batch
- 36:40Remote Chunking
- 39:19Fault Tolerance
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