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By eren_avsarogullari
Submitted: Dec 18 2012 / 04:52

Big Data Sets’ Processing is one of the most important problem in the software world. Spring Batch is a lightweight and robust batch framework to process the data sets. Spring Batch Framework offers ‘TaskletStep Oriented’ and ‘Chunk Oriented’ processing style. In this article, Chunk Oriented Processing Model is explained. Chunk Oriented Processing Feature has come with Spring Batch v2.0. It refers to reading the data one at a time, and creating ‘chunks’ that will be written out, within a transaction boundary. One item is read from an ItemReader, handed to an ItemProcessor, and written. Once the number of items read equals the commit interval, the entire chunk is written out via the ItemWriter, and then the transaction is committed. Basically, this feature should be used if at least one data item’ s reading and writing is required. Otherwise, TaskletStep Oriented processing can be used if the data item’ s only reading or writing is required. This article shows how to develop Chunk Oriented Processing in Spring Batch. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Spring Batch 2.1.9, Hibernate 4.1.8, Tomcat JDBC 7.0.27, MySQL 5.5.8, MySQL Connector 5.1.17 and Maven 3.0.4
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