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Spring Batch in Action by Olivier Bazoud, Gary Gregory, Thierry Templier, Arnaud Cogoluegnes

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Chapter 13. Scaling and parallel processing

This chapter covers

  • Introducing scaling concepts
  • Deciding when and where to use scaling
  • Learning how to scale batch jobs
  • Exploring scaling patterns and techniques

Now that you have some real batch jobs under your belt, you can test them for performance in a development or testing environment. But what do you do when performance isn’t good enough?

You implement scaling and partitioning! Spring Batch provides several scaling techniques to improve performance without making code changes. You implement scaling by reconfiguring jobs, not changing code. For partitioning, you implement code to divide work between a master and slave nodes.

In this chapter, we discuss general scaling concepts for batch ...

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