Implementing a batch process for managing gigabytes of data is no doubt a hectic job; however, Spring Batch assistance makes the job easier for Java developers and programmers. Spring Batch is a renowned module that has been intended to manage batch processing details for all kinds of files. You can start with Spring Batch by developing a simple importing job, which will import the products from CSV file and send them to the MySQL database and later explore the batch processing capabilities using one or multiple processors and helpful tasks. In the end, you can have a quick overview of the resiliency tools in Spring Batch for retrying records, skipping records, and restarting batch jobs.
A batch processing system has to manage huge amounts of data, handle the individual record’s failure without breaking down the entire process, and manage pauses and restarts without re-doing of already done tasks.
Job of the Spring Batch system
The core processing of Spring Batch involves distinct steps-
How to connect Spring Batch to a database?
Spring Batch maintains a tables set that is used to record the present or ongoing state of jobs and the processed records. In case a job needs to be restarted, with Spring Batch, it can continue from where it paused.
Spring Batch can connect to any database of your choice; however, we are using MYSQL. You can download the community version for free as it will meet your requirements. Once the setup installed, you will need to develop a database and a user that has permissions to communicate with that database. You need to launch MySQL from the command line, from MySQL’s bin directory and implement the following code:
create database spring_batch_example; create user 'sbe'@'localhost' identified by 'sbe'; grant all on spring_batch_example.* to 'sbe'@'localhost';
The starting line develops a new database – spring_batch_example, this database will maintain your products. The second code line will develop a user- sbe with the password sbe. The end line allows sbe user to access the spring_batch_example database.