October 2011
Intermediate to advanced
504 pages
17h 11m
English
Content preview from Spring Batch in ActionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.