Spring Batch – CSV to MySQL Database


This tutorial will show you how to read a csv file data and write to MySQL database. We will make some modification to the csv data and insert into MySQL database. You can read the tutorial Spring Batch to read what is Spring Batch and what are the usages of Spring Batch.


Java 8, Eclipse, Gradle 4.10.2

Example with Source Code

We’ll build a service that imports data from a CSV file, transforms it with custom code, and stores the final results in MySQL Database.

Creating Project

Create gradle based project in Eclipse IDE and you will see the required project structure gets created.

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Updating Build Script

Modify build.gradle file to include all required dependencies so that it looks like below. It downloads all the required jars from maven repository.

buildscript {
	ext {
		springBootVersion = '2.1.4.RELEASE'
    repositories {
    dependencies {
apply plugin: 'java'
apply plugin: 'org.springframework.boot'
sourceCompatibility = 1.8
targetCompatibility = 1.8
repositories {
dependencies {

Creating VO Class

Create a model class Person.java which will represent a row of data for inputs and outputs.

package com.roytuts.spring.batch.vo;
import javax.xml.bind.annotation.XmlAttribute;
public class Person {
	private int id;
	private String firstName;
	private String lastName;
	@XmlAttribute(name = "id")
	public int getId() {
		return id;
	public void setId(int id) {
		this.id = id;
	public String getFirstName() {
		return firstName;
	public void setFirstName(String firstName) {
		this.firstName = firstName;
	public String getLastName() {
		return lastName;
	public void setLastName(String lastName) {
		this.lastName = lastName;
	public String toString() {
		return "Person [id=" + id + ", firstName=" + firstName + ", lastName=" + lastName + "]";

Creating ItemProcessor Class

FielSetMapper is no longer required because we will store data into database, so create an intermediate processor. A common paradigm in batch processing is to ingest data, transform it, and then pipe it out somewhere else. Here we write a simple transformer that converts the initial characters of the names to uppercase.

package com.roytuts.spring.batch.itemprocessor;
import org.springframework.batch.item.ItemProcessor;
import com.roytuts.spring.batch.vo.Person;
public class PersonItemProcessor implements ItemProcessor<Person, Person> {
	public Person process(Person person) throws Exception {
		System.out.println("Processing: " + person);
		final String initCapFirstName = person.getFirstName().substring(0, 1).toUpperCase()
				+ person.getFirstName().substring(1);
		final String initCapLastName = person.getLastName().substring(0, 1).toUpperCase()
				+ person.getLastName().substring(1);
		Person transformedPerson = new Person();
		return transformedPerson;

Creating CSV File

Create below CSV file under src/main/resources directory.


Creating Configuration Class

We have created this Spring Configuration class to define several beans for Spring Batch processing.

We have defined beans, such as, ItemProcessor, TransactionManager, JobRepository, DataSource, JobLauncher, Step, Job etc. for our Spring Batch processing.

package com.roytuts.spring.batch.config;
import javax.sql.DataSource;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;
import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;
import org.springframework.batch.core.launch.JobLauncher;
import org.springframework.batch.core.launch.support.RunIdIncrementer;
import org.springframework.batch.core.launch.support.SimpleJobLauncher;
import org.springframework.batch.core.repository.JobRepository;
import org.springframework.batch.core.repository.support.JobRepositoryFactoryBean;
import org.springframework.batch.item.ItemProcessor;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.ItemWriter;
import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;
import org.springframework.batch.item.database.JdbcBatchItemWriter;
import org.springframework.batch.item.file.FlatFileItemReader;
import org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper;
import org.springframework.batch.item.file.mapping.DefaultLineMapper;
import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;
import org.springframework.batch.support.DatabaseType;
import org.springframework.batch.support.transaction.ResourcelessTransactionManager;
import org.springframework.beans.factory.config.BeanDefinition;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Scope;
import org.springframework.core.io.ClassPathResource;
import org.springframework.jdbc.datasource.DriverManagerDataSource;
import org.springframework.jdbc.datasource.init.DatabasePopulatorUtils;
import org.springframework.jdbc.datasource.init.ResourceDatabasePopulator;
import com.roytuts.spring.batch.itemprocessor.PersonItemProcessor;
import com.roytuts.spring.batch.vo.Person;
public class SpringBatchConfig {
	@Scope(value = BeanDefinition.SCOPE_PROTOTYPE)
	public Person person() {
		return new Person();
	@Scope(value = BeanDefinition.SCOPE_PROTOTYPE)
	public ItemProcessor<Person, Person> itemProcessor() {
		return new PersonItemProcessor();
	public DataSource dataSource() {
		DriverManagerDataSource dataSource = new DriverManagerDataSource();
		ResourceDatabasePopulator databasePopulator = new ResourceDatabasePopulator();
		databasePopulator.addScript(new ClassPathResource("org/springframework/batch/core/schema-drop-mysql.sql"));
		databasePopulator.addScript(new ClassPathResource("org/springframework/batch/core/schema-mysql.sql"));
		DatabasePopulatorUtils.execute(databasePopulator, dataSource);
		return dataSource;
	public ResourcelessTransactionManager txManager() {
		return new ResourcelessTransactionManager();
	public JobRepository jbRepository(DataSource dataSource, ResourcelessTransactionManager transactionManager)
			throws Exception {
		JobRepositoryFactoryBean factory = new JobRepositoryFactoryBean();
		return factory.getObject();
	public JobLauncher jbLauncher(JobRepository jobRepository) {
		SimpleJobLauncher jobLauncher = new SimpleJobLauncher();
		return jobLauncher;
	public BeanWrapperFieldSetMapper<Person> beanWrapperFieldSetMapper() {
		BeanWrapperFieldSetMapper<Person> fieldSetMapper = new BeanWrapperFieldSetMapper<>();
		return fieldSetMapper;
	public FlatFileItemReader<Person> fileItemReader(BeanWrapperFieldSetMapper<Person> beanWrapperFieldSetMapper) {
		FlatFileItemReader<Person> fileItemReader = new FlatFileItemReader<>();
		fileItemReader.setResource(new ClassPathResource("person.csv"));
		DelimitedLineTokenizer delimitedLineTokenizer = new DelimitedLineTokenizer();
		delimitedLineTokenizer.setNames("id", "firstName", "lastName");
		DefaultLineMapper<Person> defaultLineMapper = new DefaultLineMapper<>();
		return fileItemReader;
	public JdbcBatchItemWriter<Person> jdbcBatchItemWriter(DataSource dataSource,
			BeanPropertyItemSqlParameterSourceProvider<Person> sqlParameterSourceProvider) {
		JdbcBatchItemWriter<Person> jdbcBatchItemWriter = new JdbcBatchItemWriter<>();
		jdbcBatchItemWriter.setSql("insert into person(id,firstName,lastName) values (:id, :firstName, :lastName)");
		return jdbcBatchItemWriter;
	public BeanPropertyItemSqlParameterSourceProvider<Person> beanPropertyItemSqlParameterSourceProvider() {
		return new BeanPropertyItemSqlParameterSourceProvider<>();
	public Job jobCsvMysql(JobBuilderFactory jobBuilderFactory, Step step) {
		return jobBuilderFactory.get("jobCsvMysql").incrementer(new RunIdIncrementer()).flow(step).end().build();
	public Step step1(StepBuilderFactory stepBuilderFactory, ResourcelessTransactionManager transactionManager,
			ItemReader<Person> reader, ItemWriter<Person> writer, ItemProcessor<Person, Person> processor) {
		return stepBuilderFactory.get("step1").transactionManager(transactionManager).<Person, Person>chunk(2)

A default simple implementation of the Job interface is provided by Spring Batch in the form of the SimpleJob class which creates some standard functionality on top of Job, however the batch namespace abstracts away the need to instantiate it directly.

Step is a domain object that encapsulates an independent, sequential phase of a batch job. Therefore, every Job is composed entirely of one or more steps. A Step contains all of the information necessary to define and control the actual batch processing.

ItemReader is an abstraction that represents the retrieval of input for a Step, one item at a time.

ItemWriter is an abstraction that represents the output of a Step, one batch or chunk of items at a time. Generally, an item writer has no knowledge of the input it will receive next, only the item that was passed in its current invocation.

ItemProcessor is an abstraction that represents the business processing of an item. While the ItemReader reads one item, and the ItemWriter writes them, the ItemProcessor provides access to transform or apply other business processing. If, while processing the item, it is determined that the item is not valid, returning null indicates that the item should not be written out.

TransactionManager – Spring’s that will be used to begin and commit transactions during processing.

Chunk – The number of items that will be processed before the transaction is committed.

JobRepository is the persistence mechanism. It provides CRUD operations for JobLauncherJob and Stepimplementations. When a Job is first launched, a JobExecution is obtained from the repository, and during the course of execution StepExecution and JobExecution implementations are persisted by passing them to the repository.

JonLauncher represents a simple interface for launching a Job with a given set of JobParameters.

Creating Main Class

Create below class for launching spring batch job.

package com.roytuts.spring.batch;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication(scanBasePackages = "com.roytuts.spring.batch")
public class SpringBatch {
	public static void main(String[] args) {
		SpringApplication.run(SpringBatch.class, args);

Creating MySQL Table

Create below person table in MySQL database:

USE `roytuts`;
/*Table structure for table `person` */
CREATE TABLE `person` (
  `id` int(11) NOT NULL,
  `firstName` varchar(30) COLLATE utf8_unicode_ci NOT NULL,
  `lastName` varchar(20) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;

Testing the Application

Run the main class, you will see the below output.

Processing: Person [id=1000, firstName=soumitra, lastName=roy]
Processing: Person [id=1001, firstName=souvik, lastName=sanyal]
Processing: Person [id=1002, firstName=arup, lastName=chatterjee]
Processing: Person [id=1003, firstName=suman, lastName=mukherjee]
Processing: Person [id=1004, firstName=debina, lastName=guha]
Processing: Person [id=1005, firstName=liton, lastName=sarkar]
Processing: Person [id=1006, firstName=debabrata, lastName=poddar]

In the above output you see the job name, step name and also which row item from csv file is being processed. You also see the sql scripts have been executed and below tables have been created in the MySQL database with job details.

spring batch - csv to mysql database

You will also see the person table has been populated with csv file data.

spring batch person

Source Code

download source code

Thanks for reading.

3 thoughts on “Spring Batch – CSV to MySQL Database

  1. Thanks for your code share, We are running application with spring boot 2.0.4, on Eclipse IDE maven build with the Sql server datasource, getting below error. Did you tried this application by runnign with the sql server datasource? Please share the code base if you able to run this with sql server datasource successfully. Thanks in advance
    o.s.boot.autoconfigure.jdbc.Datasource.initailizer disabled(not running DDL scripts)
    at org.springframework.boot.devtools.restart.RestartLauncher.run(RestartLauncher.java:49)
    Caused by: org.springframework.jdbc.BadSqlGrammarException: PreparedStatementCallback; bad SQL grammar [SELECT JOB_INSTANCE_ID, JOB_NAME from BATCH_JOB_INSTANCE
    where JOB_NAME = ? order by JOB_INSTANCE_ID desc]; nested exception is java.sql.SQLServerException: Invalid object name ‘BATCH_JOB_INSTANCE’.

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