Spring Batch

Spring Batch is a lightweight framework for building batch processing applications in Java. It provides a set of reusable components for reading, processing, and writing large amounts of data in a batch job. Here is a detailed cheatsheet to help you get started with Spring Batch:

Spring Batch Architecture

• Spring Batch consists of several components, including the following:

  • Job: A batch job that consists of one or more steps.

  • Step: A single unit of processing within a batch job.

  • ItemReader: A component that reads input data and returns it as a Java object.

  • ItemProcessor: A component that processes input data and returns a modified Java object.

  • ItemWriter: A component that writes output data to a destination.

  • JobLauncher: A component that starts a batch job and returns the job execution status.

  • JobRepository: A component that stores the metadata for all batch jobs and their executions.

Spring Batch Jobs

• A Spring Batch job consists of one or more steps, each of which is responsible for reading, processing, and writing data.

• The job is defined using a configuration file, which specifies the steps, the item reader, the item processor, and the item writer.

• A job can be launched using the JobLauncher component, which returns the status of the job execution.

Spring Batch Steps

• A Spring Batch step is responsible for reading, processing, and writing a chunk of data.

• The step is defined using a configuration file, which specifies the item reader, the item processor, and the item writer.

• The step can also include a tasklet, which is a custom component that performs a specific task, such as file deletion or database cleanup.

Spring Batch ItemReader

• The ItemReader component is responsible for reading data from a source, such as a file or a database.

• Spring Batch provides several built-in ItemReader implementations, such as FlatFileItemReader for reading data from a flat file, JdbcCursorItemReader for reading data from a database, and JpaPagingItemReader for reading data from a JPA repository.

Spring Batch ItemProcessor

• The ItemProcessor component is responsible for processing input data and returning a modified Java object.

• Spring Batch provides a simple ItemProcessor interface that can be implemented to create custom data processing logic.

Spring Batch ItemWriter

• The ItemWriter component is responsible for writing output data to a destination, such as a file or a database.

• Spring Batch provides several built-in ItemWriter implementations, such as FlatFileItemWriter for writing data to a flat file, JdbcBatchItemWriter for writing data to a database, and JpaItemWriter for writing data to a JPA repository.

Conclusion

Spring Batch is a powerful framework for building batch processing applications in Java. By using Spring Batch, you can easily read, process, and write large amounts of data in a batch job. The framework provides a set of reusable components and best practices that can help you to build efficient and scalable batch jobs.