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Batch Processing in Action

Talkat Spring I/O 2022 · 2022-05-26..05-27· [data-engineering, java]
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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.

AI-written summary · about

  1. 0:00Start
  2. 0:12Batch Processing in Action
  3. 4:17Demos
  4. 11:24The Problem of Making a Request to a Synchronous Task
  5. 12:20Create a Sync Job Launcher
  6. 24:12Multi File Job
  7. 24:26Resource Item Reader
  8. 28:19Spring Batch Providers
  9. 29:44Job Execution Listener
  10. 30:38Parent Job
  11. 31:39Chunk Listeners
  12. 34:46Split
  13. 35:56Scale and Do Parallel Processing Using Spring Batch
  14. 36:40Remote Chunking
  15. 39:19Fault Tolerance
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