{"id":2790,"date":"2026-04-20T17:16:37","date_gmt":"2026-04-20T09:16:37","guid":{"rendered":"http:\/\/www.rsdmposttv.com\/blog\/?p=2790"},"modified":"2026-04-20T17:16:37","modified_gmt":"2026-04-20T09:16:37","slug":"how-to-create-a-spring-batch-job-4d14-5aff95","status":"publish","type":"post","link":"http:\/\/www.rsdmposttv.com\/blog\/2026\/04\/20\/how-to-create-a-spring-batch-job-4d14-5aff95\/","title":{"rendered":"How to create a Spring Batch job?"},"content":{"rendered":"

Spring Batch is a lightweight, comprehensive batch framework designed to enable the development of robust batch applications. As a Spring supplier, I’ve witnessed firsthand the transformative power of Spring Batch in streamlining batch processing operations across various industries. In this blog post, I’ll guide you through the process of creating a Spring Batch job, from understanding the basic concepts to implementing a complete job. Spring<\/a><\/p>\n

<\/p>\n

Understanding Spring Batch Basics<\/h3>\n

Before diving into creating a Spring Batch job, it’s essential to understand the core concepts. Spring Batch consists of three main components: Jobs, Steps, and Tasklets.<\/p>\n

A Job<\/code> is an encapsulation of a batch process. It represents a complete unit of work and is composed of one or more Steps<\/code>. Each Step<\/code> is a discrete phase of the batch process, and it can be further divided into a Tasklet<\/code> or a combination of a Reader<\/code>, Processor<\/code>, and Writer<\/code>.<\/p>\n

A Tasklet<\/code> is a simple unit of work that performs a single operation, such as file deletion or database cleanup. On the other hand, the Reader<\/code>, Processor<\/code>, and Writer<\/code> pattern is used for more complex operations, where the Reader<\/code> reads data from a source, the Processor<\/code> transforms the data, and the Writer<\/code> writes the processed data to a destination.<\/p>\n

Setting Up the Project<\/h3>\n

To create a Spring Batch job, you first need to set up a Spring Boot project. You can use Spring Initializr (start.spring.io) to generate a basic project with the necessary dependencies. For a Spring Batch project, you’ll need the Spring Batch and Spring Boot Starter Data JPA dependencies.<\/p>\n

<dependencies>\n    <dependency>\n        <groupId>org.springframework.boot<\/groupId>\n        <artifactId>spring-boot-starter-batch<\/artifactId>\n    <\/dependency>\n    <dependency>\n        <groupId>org.springframework.boot<\/groupId>\n        <artifactId>spring-boot-starter-data-jpa<\/artifactId>\n    <\/dependency>\n    <dependency>\n        <groupId>com.h2database<\/groupId>\n        <artifactId>h2<\/artifactId>\n        <scope>runtime<\/scope>\n    <\/dependency>\n<\/dependencies>\n<\/code><\/pre>\n
In this example, we’re using H2 as an in-memory database for simplicity. You can replace it with your preferred database, such as MySQL or PostgreSQL.<\/p>\n
Defining the Job<\/h3>\n
Once the project is set up, you can start defining the Spring Batch job. First, create a configuration class to define the job and its steps.<\/p>\n
import org.springframework.batch.core.Job;\nimport org.springframework.batch.core.Step;\nimport org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;\nimport org.springframework.batch.core.configuration.annotation.JobBuilderFactory;\nimport org.springframework.batch.core.configuration.annotation.StepBuilderFactory;\nimport org.springframework.context.annotation.Bean;\nimport org.springframework.context.annotation.Configuration;\n\n@Configuration\n@EnableBatchProcessing\npublic class BatchConfig {\n\n    private final JobBuilderFactory jobBuilderFactory;\n    private final StepBuilderFactory stepBuilderFactory;\n\n    public BatchConfig(JobBuilderFactory jobBuilderFactory, StepBuilderFactory stepBuilderFactory) {\n        this.jobBuilderFactory = jobBuilderFactory;\n        this.stepBuilderFactory = stepBuilderFactory;\n    }\n\n    @Bean\n    public Job myJob() {\n        return jobBuilderFactory.get("myJob")\n               .start(myStep())\n               .build();\n    }\n\n    @Bean\n    public Step myStep() {\n        return stepBuilderFactory.get("myStep")\n               .tasklet((contribution, chunkContext) -> {\n                    System.out.println("Executing my step");\n                    return RepeatStatus.FINISHED;\n                }).build();\n    }\n}\n<\/code><\/pre>\n
In this code, we’ve defined a simple job named myJob<\/code> that consists of a single step named myStep<\/code>. The step is a Tasklet<\/code> that simply prints a message to the console.<\/p>\n
Running the Job<\/h3>\n
To run the Spring Batch job, you can create a main class that extends SpringBatchApplication<\/code> and use the JobLauncher<\/code> to launch the job.<\/p>\n
import org.springframework.batch.core.Job;\nimport org.springframework.batch.core.JobParameters;\nimport org.springframework.batch.core.JobParametersBuilder;\nimport org.springframework.batch.core.launch.JobLauncher;\nimport org.springframework.beans.factory.annotation.Autowired;\nimport org.springframework.boot.CommandLineRunner;\nimport org.springframework.boot.SpringApplication;\nimport org.springframework.boot.autoconfigure.SpringBootApplication;\n\n@SpringBootApplication\npublic class BatchApplication implements CommandLineRunner {\n\n    @Autowired\n    private JobLauncher jobLauncher;\n\n    @Autowired\n    private Job myJob;\n\n    public static void main(String[] args) {\n        SpringApplication.run(BatchApplication.class, args);\n    }\n\n    @Override\n    public void run(String... args) throws Exception {\n        JobParameters jobParameters = new JobParametersBuilder()\n               .addLong("time", System.currentTimeMillis())\n               .toJobParameters();\n        jobLauncher.run(myJob, jobParameters);\n    }\n}\n<\/code><\/pre>\n
In this code, we’re using the JobLauncher<\/code> to launch the myJob<\/code> with some job parameters. The job parameters are used to uniquely identify each execution of the job.<\/p>\n
Using Reader, Processor, and Writer<\/h3>\n
For more complex batch processing, you can use the Reader<\/code>, Processor<\/code>, and Writer<\/code> pattern. Let’s assume we have a simple CSV file with user data, and we want to read the data from the file, process it, and write it to a database.<\/p>\n
First, create a model class to represent the user data.<\/p>\n
public class User {\n    private String name;\n    private int age;\n\n    \/\/ Getters and setters\n    public String getName() {\n        return name;\n    }\n\n    public void setName(String name) {\n        this.name = name;\n    }\n\n    public int getAge() {\n        return age;\n    }\n\n    public void setAge(int age) {\n        this.age = age;\n    }\n}\n<\/code><\/pre>\n
Next, create a Reader<\/code> to read the data from the CSV file.<\/p>\n
import org.springframework.batch.item.file.FlatFileItemReader;\nimport org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper;\nimport org.springframework.batch.item.file.mapping.DefaultLineMapper;\nimport org.springframework.batch.item.file.transform.DelimitedLineTokenizer;\nimport org.springframework.core.io.ClassPathResource;\n\npublic class UserItemReader extends FlatFileItemReader<User> {\n    public UserItemReader() {\n        setResource(new ClassPathResource("users.csv"));\n        setLineMapper(new DefaultLineMapper<User>() {{\n            setLineTokenizer(new DelimitedLineTokenizer() {{\n                setNames(new String[]{"name", "age"});\n            }});\n            setFieldSetMapper(new BeanWrapperFieldSetMapper<User>() {{\n                setTargetType(User.class);\n            }});\n        }});\n    }\n}\n<\/code><\/pre>\n
Then, create a Processor<\/code> to transform the data.<\/p>\n
import org.springframework.batch.item.ItemProcessor;\n\npublic class UserItemProcessor implements ItemProcessor<User, User> {\n    @Override\n    public User process(User user) throws Exception {\n        \/\/ Simple transformation: uppercase the name\n        user.setName(user.getName().toUpperCase());\n        return user;\n    }\n}\n<\/code><\/pre>\n
Finally, create a Writer<\/code> to write the processed data to the database.<\/p>\n
import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;\nimport org.springframework.batch.item.database.JdbcBatchItemWriter;\nimport org.springframework.jdbc.core.JdbcTemplate;\n\nimport javax.sql.DataSource;\n\npublic class UserItemWriter extends JdbcBatchItemWriter<User> {\n    public UserItemWriter(DataSource dataSource) {\n        setDataSource(dataSource);\n        setSql("INSERT INTO users (name, age) VALUES (:name, :age)");\n        setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());\n    }\n}\n<\/code><\/pre>\n
Now, update the BatchConfig<\/code> class to use the Reader<\/code>, Processor<\/code>, and Writer<\/code>.<\/p>\n
import org.springframework.batch.core.Job;\nimport org.springframework.batch.core.Step;\nimport org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;\nimport org.springframework.batch.core.configuration.annotation.JobBuilderFactory;\nimport org.springframework.batch.core.configuration.annotation.StepBuilderFactory;\nimport org.springframework.batch.item.ItemProcessor;\nimport org.springframework.batch.item.ItemReader;\nimport org.springframework.batch.item.ItemWriter;\nimport org.springframework.context.annotation.Bean;\nimport org.springframework.context.annotation.Configuration;\nimport javax.sql.DataSource;\n\n@Configuration\n@EnableBatchProcessing\npublic class BatchConfig {\n\n    private final JobBuilderFactory jobBuilderFactory;\n    private final StepBuilderFactory stepBuilderFactory;\n    private final DataSource dataSource;\n\n    public BatchConfig(JobBuilderFactory jobBuilderFactory, StepBuilderFactory stepBuilderFactory, DataSource dataSource) {\n        this.jobBuilderFactory = jobBuilderFactory;\n        this.stepBuilderFactory = stepBuilderFactory;\n        this.dataSource = dataSource;\n    }\n\n    @Bean\n    public Job myJob() {\n        return jobBuilderFactory.get("myJob")\n               .start(myStep())\n               .build();\n    }\n\n    @Bean\n    public Step myStep() {\n        return stepBuilderFactory.get("myStep")\n               .<User, User>chunk(10)\n               .reader(userItemReader())\n               .processor(userItemProcessor())\n               .writer(userItemWriter())\n               .build();\n    }\n\n    @Bean\n    public ItemReader<User> userItemReader() {\n        return new UserItemReader();\n    }\n\n    @Bean\n    public ItemProcessor<User, User> userItemProcessor() {\n        return new UserItemProcessor();\n    }\n\n    @Bean\n    public ItemWriter<User> userItemWriter() {\n        return new UserItemWriter(dataSource);\n    }\n}\n<\/code><\/pre>\n
Monitoring and Error Handling<\/h3>\n
Spring Batch provides built-in support for monitoring and error handling. You can use the JobExecution<\/code> and StepExecution<\/code> objects to track the progress of the job and handle errors.<\/p>\n
import org.springframework.batch.core.JobExecution;\nimport org.springframework.batch.core.JobExecutionListener;\nimport org.springframework.stereotype.Component;\n\n@Component\npublic class MyJobExecutionListener implements JobExecutionListener {\n    @Override\n    public void beforeJob(JobExecution jobExecution) {\n        System.out.println("Job started: " + jobExecution.getJobInstance().getJobName());\n    }\n\n    @Override\n    public void afterJob(JobExecution jobExecution) {\n        if (jobExecution.getStatus().isUnsuccessful()) {\n            System.out.println("Job failed: " + jobExecution.getJobInstance().getJobName());\n        } else {\n            System.out.println("Job completed: " + jobExecution.getJobInstance().getJobName());\n        }\n    }\n}\n<\/code><\/pre>\n
You can then register the listener with the job in the BatchConfig<\/code> class.<\/p>\n
@Bean\npublic Job myJob() {\n    return jobBuilderFactory.get("myJob")\n           .listener(myJobExecutionListener())\n           .start(myStep())\n           .build();\n}\n\n@Bean\npublic MyJobExecutionListener myJobExecutionListener() {\n    return new MyJobExecutionListener();\n}\n<\/code><\/pre>\n
Conclusion<\/h3>\n
<\/p>\n
Creating a Spring Batch job involves understanding the core concepts, setting up the project, defining the job and its steps, and implementing the necessary components such as Reader<\/code>, Processor<\/code>, and Writer<\/code>. With Spring Batch, you can easily build robust batch applications that can handle large volumes of data efficiently.<\/p>\n
Exciter<\/a> As a Spring supplier, we have the expertise and experience to help you create and optimize your Spring Batch jobs. Whether you’re looking to streamline your existing batch processes or develop new ones, we’re here to assist you. If you’re interested in learning more about our Spring Batch solutions or have any questions, please don’t hesitate to contact us for a procurement discussion.<\/p>\n
References<\/h3>\n