In this post, I am going to show how to write data to flat files from a table.
Example
Spring Batch provides 'FlatFileItemWriter' which writes data to a file or stream.
@Bean
public FlatFileItemWriter<Employee> flatFileItemWriter() throws Exception{
FlatFileItemWriter<Employee> flatFileItemWriter = new FlatFileItemWriter<>();
flatFileItemWriter.setLineAggregator(new PassThroughLineAggregator<Employee>());
String outFilePath = "/Users/Shared/result.out";
flatFileItemWriter.setResource(new FileSystemResource(outFilePath));
flatFileItemWriter.afterPropertiesSet();
return flatFileItemWriter;
}
Following application read employee records from ‘employee’ table and write to "/Users/Shared/result.out" file.
Step 1: Create new maven project ‘write-to-file’.
Step 2: Update pom.xml with maven dependencies.
pom.xml
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.sample.app</groupId>
<artifactId>write-to-flat-file</artifactId>
<version>1</version>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.1.6.RELEASE</version>
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.springframework.batch/spring-batch-core -->
<dependency>
<groupId>org.springframework.batch</groupId>
<artifactId>spring-batch-core</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>com.h2database</groupId>
<artifactId>h2</artifactId>
</dependency>
</dependencies>
</project>
Step 3: Create application.properties file under src/main/resources folder.
application.properties
logging.level.root=ERROR logging.level.org.hibernate=ERROR ## H2 specific properties spring.h2.console.enabled=true spring.h2.console.path=/h2 spring.datasource.url=jdbc:h2:file:~/db/myOrg.db;DB_CLOSE_ON_EXIT=FALSE;DB_CLOSE_DELAY=-1; spring.datasource.username=krishna spring.datasource.password=password123 spring.datasource.driverClassName=org.h2.Driver ## JPA specific properties # Creates the schema, destroying previous data. spring.jpa.hibernate.ddl-auto=create-drop spring.jpa.database-platform=org.hibernate.dialect.H2Dialect spring.jpa.show-sql=false spring.jpa.properties.hibernate.format_sql=false ## Database connection pooling properties # Number of ms to wait before throwing an exception if no connection is available. spring.datasource.max-wait=10000 # Maximum number of active connections that can be allocated from this pool at the same time. spring.datasource.tomcat.max-active=10 spring.datasource.tomcat.max-idle=5 spring.datasource.tomcat.min-idle=3
Step 4: Create data.sql file under src/main/resources folder.
data.sql
INSERT INTO employee (id, first_name, last_name) VALUES
(1, 'Sowmya', 'Krishna'),
(2, 'Mridhu', 'Latha'),
(3, 'Gowthami','Prasad'),
(4, 'Sailu', 'Venkat'),
(5, 'chamu', 'krishna'),
(6, 'Rama', 'Lakshman'),
(7, 'Saranya', 'Nataraj'),
(8, 'Suneetha', 'Surendra');
Step 5: Create new package ‘com.sample.app.entity’ and define Employee class.
Employee.java
package com.sample.app.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.Table;
@Entity
@Table(name = "employee")
public class Employee {
@Id
@GeneratedValue
@Column(name = "id")
private int id;
@Column(name = "first_name")
private String firstName;
@Column(name = "last_name")
private String lastName;
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;
}
@Override
public String toString() {
StringBuilder builder = new StringBuilder();
builder.append("Employee [id=").append(id).append(", firstName=").append(firstName).append(", lastName=")
.append(lastName).append("]");
return builder.toString();
}
}
Step 6: Create package ‘com.sample.app.mappers’ and define EmployeeRowMapper.
EmployeeRowMapper.java
package com.sample.app.mappers;
import java.sql.ResultSet;
import java.sql.SQLException;
import org.springframework.jdbc.core.RowMapper;
import com.sample.app.entity.Employee;
public class EmployeeRowMapper implements RowMapper<Employee> {
@Override
public Employee mapRow(ResultSet rs, int rowNum) throws SQLException {
Employee emp = new Employee();
emp.setId(rs.getInt("id"));
emp.setFirstName(rs.getString("first_name"));
emp.setLastName(rs.getString("last_name"));
return emp;
}
}
Step 7: Create package ‘com.sample.app.configuration’ and define JobConfiguration.
JobConfiguration.java
package com.sample.app.configuration;
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.repository.JobRepository;
import org.springframework.batch.item.database.JdbcCursorItemReader;
import org.springframework.batch.item.file.FlatFileItemWriter;
import org.springframework.batch.item.file.transform.PassThroughLineAggregator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.FileSystemResource;
import org.springframework.transaction.PlatformTransactionManager;
import com.sample.app.entity.Employee;
import com.sample.app.mappers.EmployeeRowMapper;
@Configuration
@EnableBatchProcessing
public class JobConfiguration {
@Autowired
private JobBuilderFactory jobBuilderFactory;
@Autowired
private StepBuilderFactory stepBuilderFactory;
@Autowired
private DataSource dataSource;
@Bean
public JdbcCursorItemReader<Employee> jdbcCursorItemReader() {
JdbcCursorItemReader<Employee> cursorItemReader = new JdbcCursorItemReader<>();
cursorItemReader.setSql("SELECT id, first_name, last_name FROM employee ORDER BY first_name");
cursorItemReader.setDataSource(dataSource);
cursorItemReader.setRowMapper(new EmployeeRowMapper());
return cursorItemReader;
}
@Bean
public FlatFileItemWriter<Employee> flatFileItemWriter() throws Exception{
FlatFileItemWriter<Employee> flatFileItemWriter = new FlatFileItemWriter<>();
flatFileItemWriter.setLineAggregator(new PassThroughLineAggregator<Employee>());
String outFilePath = "/Users/Shared/result.out";
flatFileItemWriter.setResource(new FileSystemResource(outFilePath));
flatFileItemWriter.afterPropertiesSet();
return flatFileItemWriter;
}
@Bean
public Step step1() throws Exception {
return this.stepBuilderFactory.get("step1").<Employee, Employee>chunk(5).reader(jdbcCursorItemReader())
.writer(flatFileItemWriter()).build();
}
@Bean
public Job myJob(JobRepository jobRepository, PlatformTransactionManager platformTransactionManager)
throws Exception {
return jobBuilderFactory.get("My-First-Job").start(step1()).build();
}
}
Step 8: Define App.java.
App.java
package com.sample.app;
import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@EnableBatchProcessing
@SpringBootApplication
public class App {
public static void main(String[] args) {
SpringApplication.run(App.class, args);
}
}
Total project structure looks like below.
Run App.java.
Open ‘result.out’ file, you will see below content.
$cat result.out
Employee [id=3, firstName=Gowthami, lastName=Prasad]
Employee [id=2, firstName=Mridhu, lastName=Latha]
Employee [id=6, firstName=Rama, lastName=Lakshman]
Employee [id=4, firstName=Sailu, lastName=Venkat]
Employee [id=7, firstName=Saranya, lastName=Nataraj]
Employee [id=1, firstName=Sowmya, lastName=Krishna]
Employee [id=8, firstName=Suneetha, lastName=Surendra]
Employee [id=5, firstName=chamu, lastName=krishna]
As you see the content of result.out file, it contains the output of toString method of Employee instance (It is because PassThroughLineAggregator simply calls toString() method of an object).
In my next post, I will explain how to implement custom line aggregator to customize the writer output.
You can download complete application from this link.
https://github.com/harikrishna553/springboot/tree/master/batch/write-to-flat-file
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