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Spring batch is a lightweight framework ,is an open source framework for batch execution. Spring Batch provides classes and APIs to read/write resources, transaction management, job processing statistics, job restart and partitioning techniques to process high-volume of data.
Spring boot functions are 1.Including logging and tracing 2.Transaction management 3.Job processing statistics 4.Job restart 5.Skip and Resource management
Following are the main features of Spring Batch 1.Flexibility:- Spring Batch applications are flexible.we need simply change in XML file to alter the order of processing in an application. 2.Maintainability:- Spring Batch applications are easy to maintain. A Spring Batch job includes steps and each step can be decoupled, tested, and updated, without effecting the other steps. 3.Scalability:- Using the portioning techniques, you can scale the Spring Batch applications. These techniques allow you to − 1.Execute the steps of a job in parallel. 2.Execute a single thread in parallel. 4.Reliability:-In case of any failure, you can restart the job from exactly where it was stopped, by decoupling the steps. 5.Support for multiple file formats:- Spring Batch provides support for a large set of readers and writers such as XML, Flat file, CSV, MYSQL, Hibernate, JDBC, Mongo, Neo4j, etc. 6.Multiple ways to launch a job:- You can launch a Spring Batch job using web applications, Java programs, Command Line etc.
Following are main jars for Spring boot Spring Core x.x.x.RELEASE Spring Batch x.x.x.RELEASE
MapJobRegistry is the map based implementation of JobRepository interface that stores the job configuration as value ,job name as key. This implements service registry pattern.