Spring batch Concepts Introduction Part 1

Published: 11 September 2024
on channel: CodeWis Technologies by Nuhman Paramban

Spring Batch is a lightweight framework designed for processing large volumes of data
Spring Batch is a lightweight framework designed for processing large volumes of data in a batch environment. It provides reusable functions for processing large datasets, including logging/tracing, transaction management, job processing statistics, and restart capabilities.

Key Components of Spring Batch:
Job: Represents the entire batch process. It consists of multiple steps.
Step: A single phase in the batch job. Each step typically performs a particular task such as reading, processing, or writing.
JobRepository: Stores metadata about batch jobs, such as job status and step executions.
JobLauncher: Used to launch batch jobs.
JobExecution: Represents the execution of a job and keeps track of the job's status.
Tasklet: A task performed by a step, often used for simple tasks such as file copying or deleting records.
ItemReader: Reads data from a source like a file, database, or message queue.
ItemProcessor: Processes data (e.g., filtering or transforming).
ItemWriter: Writes data to a destination like a file, database, or messaging system.
Chunk-Oriented Processing: Processes records in chunks, where each chunk is read, processed, and written before the next chunk starts.
Listeners: Allow custom actions before/after a job or step is executed.
Spring Batch Flow:
Job: Composed of one or more steps.
Step: Can be either chunk-oriented (e.g., reading from a database in chunks) or task-oriented (performing a single task like copying files).
Chunk-Oriented Processing:
ItemReader: Reads data in chunks.
ItemProcessor: Optionally processes the data.
ItemWriter: Writes the processed data in chunks.

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