Concepts

What is Spring Batch?

Batch processing requirements:

• Large data volume
• Automation
• Robustness
• Reliablity
• Performance

Spring Batch is an open source batch-oriented framework dealing with most common needs of batch applications.

What is it good for? Main features:

• Spring Framework foundations: reuse dependency injection, AOP
• batch-oriented processing: good for data reading/writing
• ready-to-use components: I/O for databases and files
• Robustness and reliability: able to define skip/retry etc

Job/Step

job execution monitor/restart on failure

Chunk Processing

Spring Batch handles read-write scenarios using ItemReader and ItemWriter. ItemProcessor is used to handle transformation before send it to ItemWriter.

API

Reading a flat file: FlatFileItemReader (e.g. read CSV file)

DefaultLineMapper: delegates line reading

LineTokenizer to split a line into fields.

fieldSetMapper to transform the split line into a domain object.

Resources

• Official doc