Chunk-Oriented Processing vs. Tasklet in Spring Batch: A Simple Guide

source: terasoluna-batch.github.io

Have you ever needed to process large amounts of data in your Java applications? Spring Batch is a powerful framework that helps you handle big data processing jobs. In this article, we’ll look at two main ways to build processing steps in Spring Batch: Chunk-Oriented Processing and Tasklet.

We’ll explain both approaches using easy-to-understand examples, so you can pick the right one for your projects.

What is Spring Batch?

Before diving into the details, let’s understand what Spring Batch is. Spring Batch is a lightweight framework designed to help developers process large volumes of data. It breaks down big jobs into smaller, more manageable pieces.

Spring Batch is perfect for tasks like:

• Reading data from databases or files
• Processing information
• Writing results to databases, files, or other systems
• Handling errors during processing

Understanding Steps in Spring Batch

In Spring Batch, a “Job” is made up of one or more “Steps.” A Step is a single phase in a job that defines how data will be processed.