Example of how to read a Pojo from a CSV file using Jackson JSON Processor

build.gradle

apply plugin: 'java'
apply plugin: 'eclipse'

repositories {
    mavenCentral()
}

dependencies {
	compile 'com.fasterxml.jackson.dataformat:jackson-dataformat-csv:2.3.0'
	
    testCompile 'junit:junit:4.11'
}

people.csv

Person.java

package org.asafary.csv;

import com.fasterxml.jackson.annotation.JsonPropertyOrder;

@JsonPropertyOrder({ "name", "surname", "shoesize", "gender" })
public class Person {

	public String name;
	public String surname;
	public int shoesize;
	public String gender;

}

PersonReader.java

package org.asafary.csv;

import java.io.File;
import java.util.List;

import com.fasterxml.jackson.databind.MappingIterator;
import com.fasterxml.jackson.dataformat.csv.CsvMapper;

/**
 * Reads Person objects from a CSV file 
 */
public class PersonReader {
	
	public static List<Person> readFile(File csvFile) throws Exception {
		MappingIterator<Person> personIter = new CsvMapper().readerWithTypedSchemaFor(Person.class).readValues(csvFile);
		
		return personIter.readAll();
	}
}

PersonReaderTest.java

package org.asafary.csv;

import static org.junit.Assert.*;

import java.io.File;
import java.util.List;

import org.junit.Test;

public class PersonReaderTest {

	@Test
	public void testReadingPersonObjectsFromCsvData() throws Exception {
		File testFile = new File("people.csv");
		List<Person> people = PersonReader.readFile(testFile);
		assertEquals(2, people.size());
		Person person1 = people.get(0);
		assertEquals("Tom", person1.getName());
		assertEquals("Tommy", person1.getSurname());
		assertEquals(32, person1.getShoesize());
		assertEquals("m", person1.getGender());
		
		Person person2 = people.get(1);
		assertEquals("Anna", person2.getName());
		assertEquals("Anny", person2.getSurname());
		assertEquals(27, person2.getShoesize());
		assertEquals("f", person2.getGender());
	}
}

Parsing csv file and mapping it with Java classes is sometimes a very hectic work. There are many csv parser libraries available which makes our lives easy but still they can create complexity in implementing them in our existing codebase. To resolve all these issues and make the parsing process more simpler we can use a new csv parsing library called csv4pojo. csv4pojo makes its implementation in our existing code simpler and its a very lightweight Java library and processes the parsing very fast. It is capable of parsing millions of rows of data and can write same amount data in the csv file. It supports 15 different datatypes. Integer,String,Float,Double,Boolean,Long,Character,Class,Integer[],String[],Float[],Double[],Boolean[],Character[]Long[].

org.csv4pojoparser csv4pojo 2.0.0 Add this maven dependencies in your pom.xml and read the docs - https://github.com/Kazitanvirazad/CSV4POJO/blob/master/README.md