You need to take the rigth Jar. For example you can take it from here mvnrepository.com

This contains the packages au.com.bytecode.opencsv and the repository is located at https://github.com/EmergentOrder/opencsv which is a fork of https://code.google.com/p/opencsv/

The project on https://code.google.com/p/opencsv/ provide the packages com.opencsv

Depending which project you want to use. Maybe changing the package name in the import statement would fix it (when opencsv-3.3.jar is the Jar you need to use).

Answer from SubOptimal on Stack Overflow
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Baeldung
baeldung.com › home › java › java io › introduction to opencsv
Introduction to OpenCSV | Baeldung
May 11, 2024 - using the handy CSVReader and CSVWriter objects (for simpler operations) using CsvToBean to convert .csv files into beans (which are implemented as annotated plain-old-java-objects) We’ll stick with synchronous (or blocking) examples for this article, so we can focus on the basics.
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Javadoc.io
javadoc.io › doc › com.opencsv › opencsv › 4.0 › com › opencsv › CSVReader.html
CSVReader - opencsv 4.0 javadoc
https://javadoc.io/doc/com.opencsv/opencsv · Current version 4.0 · https://javadoc.io/doc/com.opencsv/opencsv/4.0 · package-list path (used for javadoc generation -link option) https://javadoc.io/doc/com.opencsv/opencsv/4.0/package-list ·
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Csvreader
csvreader.com › java_csv › docs › com › csvreader › CsvReader.html
CsvReader (JavaCSV API)
java.lang.Object com.csvreader.CsvReader · public class CsvReader · extends Object · A stream based parser for parsing delimited text data from a file or a stream. public static final int ESCAPE_MODE_DOUBLED · Double up the text qualifier to represent an occurance of the text qualifier.
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GeeksforGeeks
geeksforgeeks.org › java › reading-csv-file-java-using-opencsv
Reading a CSV file in Java using OpenCSV - GeeksforGeeks
July 11, 2025 - ... <dependency> <groupId>com.... include in your project class path. ... CSVReader - This class provides the operations to read the CSV file as a list of String array....
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Maven Repository
mvnrepository.com › artifact › com.opencsv › opencsv
Maven Repository: com.opencsv » opencsv
July 27, 2025 - aar android apache api arm assets build build-system bundle client clojure cloud config cran data database eclipse example extension framework github gradle groovy io ios javascript jvm kotlin library logging maven mobile module npm osgi persistence plugin resources rlang sdk server service ...
Find elsewhere
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DigitalOcean
digitalocean.com › community › tutorials › opencsv-csvreader-csvwriter-example
OpenCSV CSVReader CSVWriter Example | DigitalOcean
August 3, 2022 - OpenCSV provides most of the basic features for CSV parsing. OpenCSV is more popular because we don’t have any builtin CSV parser in java. Some of the important classes in OpenCSV CSV parser are; CSVReader: This is the most important class in OpenCSV. CSVReader class is used to parse CSV files.
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Colorado State University
cs.colostate.edu › ~cs163 › .Summer20 › practicals › p5 › 01knightfight › javadoc › CSVReader.html
CSVReader
public CSVReader(java.lang.String file, boolean skipHeader) A constructor that requires the name of the file to open · Parameters: file - filename to read · skipHeader - true to skip header, false if it is to be read · public java.util.List<java.lang.String> getNext() Reads a line (nextLine()) and splits it into a String array by the DELIMINATOR, if the line is empty it will also return null.
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Csvreader
csvreader.com › java_csv.php
Java CSV
Download Java CSV reader and writer.
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GitHub
github.com › cygri › opencsv › blob › master › src › main › java › com › opencsv › CSVReader.java
opencsv/src/main/java/com/opencsv/CSVReader.java at master · cygri/opencsv
public CSVReader(Reader reader, char separator, char quotechar, char escape, int line, boolean strictQuotes, boolean ignoreLeadingWhiteSpace) {
Author   cygri
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Csvreader
csvreader.com › java_csv_samples.php
Java CSV - java code samples
See code examples of how to use CsvReader to parse delimited files in Java.
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Northwestern
users.eecs.northwestern.edu › ~ocg474 › SIDnet › javadoc › au › com › bytecode › opencsv › CSVReader.html
CSVReader
public CSVReader(java.io.Reader reader, char separator, char quotechar) Constructs CSVReader with supplied separator and quote char. Parameters: reader - the reader to an underlying CSV source. separator - the delimiter to use for separating entries · quotechar - the character to use for quoted elements ·
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Baeldung
baeldung.com › home › java › java io › reading a csv file into an array
Reading a CSV File into an Array | Baeldung
May 9, 2025 - We’ll use the readNext() method in CSVReader to read the records in the file:
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Mark Needham
markhneedham.com › blog › 2013 › 10 › 14 › java-incrementally-readstream-a-csv-file
Java: Incrementally read/stream a CSV file | Mark Needham
October 14, 2013 - public class ParseCSVFile { public static void main(String[] args) throws IOException { final CSVReader csvReader = new CSVReader( new BufferedReader( new FileReader( "/path/to/file.csv" ) ), '\t' ); final String[] fields = csvReader.readNext(); Iterator<Map<String, Object>>() lazilyLoadedFile = return new Iterator<Map<String, Object>>() { String[] data = csvReader.readNext(); @Override public boolean hasNext() { return data != null; } @Override public Map<String, Object> next() { final Map<String, Object> properties = new HashMap<String, Object>(); for ( int i = 0; i < data.length; i++ ) { properties.put(fields[i], data[i]); } try { data = csvReader.readNext(); } catch ( IOException e ) { data = null; } return properties; } @Override public void remove() { throw new UnsupportedOperationException(); } }; } }
Top answer
1 of 4
12

tl;dr

Reading a 20 MB CSV file, and instantiating an object per row, takes less than 1 second in total elapsed time.

Details

You did not define the term “slow”. So I did an experiment, a casual benchmark test.

First we create a 20 MB file of 40,000 Person records. Each Person holds a first & last name in French, a UUID, and some arbitrary text as a description. The data is written as four columns in a CSV file in UTF-8. I used the Apache Commons CSV library to write and read.

Secondly, this written file is read. Each row of data is read into memory, then used to instantiate and collect a Person object.

Reading this file, and instantiating Person object for each row took less than one second in total elapsed time. Each row takes about 20K nanoseconds. Actually, this includes reading the file twice, as we do a scan to count the number of rows of data to set initial capacity of the collected instances. Also, we are parsing a hex string input into the 128-bit value of a UUID, so we have some time spent on data-processing (not just reading).

For Java 16+, define Person class as a record. We override toString to avoid printing out the long description content.

record Person ( String givenName , String surname , UUID id , String description ) 
{
    static public  String LOREM_IPSUM = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.";

    @Override
    public String toString ()
    {
        return "Person{ " +
                "givenName='" + givenName + '\'' +
                " | surname='" + surname + '\'' +
                " | id='" + id + '\'' +
                " }";
    }
}

For earlier Java, write a conventional Person class.

package work.basil.example;

import java.util.UUID;

public class Person
{
    // Static
   static public  String LOREM_IPSUM = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.";

    // Member variables.
    public String givenName, surname, description;
    public UUID id;

    public Person ( String givenName , String surname , UUID id , String description )
    {
        this.givenName = givenName;
        this.surname = surname;
        this.id = id;
        this.description = description ;
    }

    @Override
    public String toString ()
    {
        return "Person{ " +
                "givenName='" + givenName + '\'' +
                " | surname='" + surname + '\'' +
                " | id='" + id + '\'' +
                " }";
    }
}

And here is the complete app that writes and then reads the 20 MB file. Please study and critique, as I whipped this up in a jiffy. I’ve not double-checked my work.

You will find a write method, and a read method. The main method calls both, and tracks time.

package work.basil.example;

import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVPrinter;
import org.apache.commons.csv.CSVRecord;

import java.io.BufferedReader;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.Duration;
import java.time.Instant;
import java.time.temporal.ChronoUnit;
import java.util.ArrayList;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.ThreadLocalRandom;

public class CsvSpeed
{
    public List < Person > read ( Path path )
    {
        // TODO: Add a check for valid file existing.

        List < Person > list = List.of();  // Default to empty list.
        try
        {
            // Prepare list.
            int initialCapacity = ( int ) Files.lines( path ).count();
            list = new ArrayList <>( initialCapacity );

            // Read CSV file. For each row, instantiate and collect `DailyProduct`.
            BufferedReader reader = Files.newBufferedReader( path );
            Iterable < CSVRecord > records = CSVFormat.RFC4180.withFirstRecordAsHeader().parse( reader );
            for ( CSVRecord record : records )
            {
                String givenName = record.get( "givenName" );
                String surname = record.get( "surname" );
                UUID id = UUID.fromString( record.get( "id" ) );
                String description = record.get( "description" );
                // Instantiate `Person` object, and collect it.
                Person person = new Person( givenName , surname , id , description );
                list.add( person );
            }
        } catch ( IOException e )
        {
            e.printStackTrace();
        }
        return list;
    }

    public void write ( final Path path )
    {
        ThreadLocalRandom random = ThreadLocalRandom.current();
        try ( final CSVPrinter printer = CSVFormat.RFC4180.withHeader( "givenName" , "surname" , "id" , "description" ).print( path , StandardCharsets.UTF_8 ) ; )
        {
            int limit = 40_000;  // 40_000 yields about 20 MB of data.
            List < String > givenNames = List.of( "Adrien" , "Aimon" , "Alerion" , "Alexis" , "Alezan" , "Ancil" , "Andre" , "Antoine" , "Archard" , "Aurélien" , "Averill" , "Baptiste" , "Barnard" , "Bartelemy" , "Bastien" , "Baylee" , "Beale" , "Beau" , "Beaumont" , "Beauregard" , "Bellamy" , "Berger" , "Blaize" , "Blondel" , "Boyce" , "Bruce" , "Brunelle" , "Brys" , "Burcet" , "Burnell" , "Burrell" , "Byron" , "Canaan" , "Carden" , "Carolas" , "Cavell" , "Chace" , "Chanler" , "Chante" , "Chappel" , "Charles" , "Chasen" , "Chason" , "Chemin" , "Chene" , "Cher" , "Chevalier" , "Cheyne" , "Clément" , "Clemence" , "Corbin" , "Coty" , "Cygne" , "Damien" , "Dandre" , "Dariel" , "Darl" , "Dauphine" , "Davet" , "Dax" , "Dean" , "Delice" , "Delmon" , "Destin" , "Dominique" , "Donatien" , "Duke" , "Eliott" , "Elroy" , "Enzo" , "Erwan" , "Etalon" , "Ethan" , "Fabron" , "Ferrand" , "Filberte" , "Florent" , "Florian" , "Fontaine" , "Forest" , "Fortune" , "Franchot" , "Francois" , "Fraser" , "Frayne" , "Gaëtan" , "Gabin" , "Gage" , "Gaige" , "Garland" , "Garner" , "Gaston" , "Gauge" , "Gaylord" , "Germain" , "Germaine" , "German" , "Gervaise" , "Giles" , "Gilles" , "Gitan" , "Grosvener" , "Guifford" , "Guion" , "Guy" , "Guzman" , "Henri" , "Holland" , "Hugo" , "Hugues" , "Hyacinthe" , "Jérémy" , "Jacquan" , "Jacques" , "Jacquez" , "Janvier" , "Jardan" , "Jay" , "Jaye" , "Jehan" , "Jemond" , "Jocquez" , "Jonathan" , "Jules" , "Julien" , "Justus" , "Karoly" , "Lado" , "Lafayette" , "Lamond" , "Lancelin" , "Landis" , "Landry" , "Laron" , "Larrimore" , "Laurent" , "LaValle" , "Leandre" , "Leggett" , "Leonce" , "Leron" , "Leverett" , "Lilian" , "Loïc" , "Lorenzo" , "Louis" , "Lowell" , "Luc" , "Lucien" , "Lukas" , "Macaire" , "Mace" , "Mahieu" , "Maison" , "Malleville" , "Manneville" , "Mantel" , "Marc" , "Marcel" , "Marion" , "Marius" , "Markez" , "Markis" , "Marmion" , "Marquis" , "Marquise" , "Marshall" , "Martial" , "Maslin" , "Mason" , "Matheo" , "Mathias" , "Mathys" , "Matthieu" , "Maxence" , "Mayson" , "Mehdi" , "Merle" , "Merville" , "Montague" , "Montaigu" , "Monte" , "Montgomery" , "Montreal" , "Montrel" , "Moore" , "Morel" , "Mortimer" , "Nerville" , "Neuveville" , "Nicolas" , "Noë" , "Noah" , "Noe" , "Norman" , "Norville" , "Nouel" , "Olivier" , "Onfroi" , "Paien" , "Parfait" , "Parnell" , "Pascal" , "Patrice" , "Paul" , "Peppin" , "Percival" , "Percy" , "Pernell" , "Peverell" , "Philipe" , "Pierpont" , "Pierre" , "Pomeroy" , "Prewitt" , "Purvis" , "Quennell" , "Quentin" , "Quincey" , "Quincy" , "Quintin" , "Rémi" , "Rafaelle" , "Ranger" , "Raoul" , "Raphaël" , "Rapier" , "Rawlins" , "Ray" , "Raynard" , "Remi" , "René" , "Renard" , "Rene" , "Reule" , "Reynard" , "Robin" , "Romain" , "Rondel" , "Roy" , "Royal" , "Ruff" , "Rush" , "Russel" , "Rustin" , "Sabastien" , "Sacha" , "Salomon" , "Samuel" , "Satordi" , "Saville" , "Scoville" , "Sebastien" , "Sennett" , "Severin" , "Shant" , "Shantae" , "Sidney" , "Siffre" , "Simeon" , "Simon" , "Sinclair" , "Sofiane" , "Somer" , "Stephane" , "Sully" , "Sydney" , "Sylvain" , "Talbot" , "Talon" , "Telford" , "Tempest" , "Teppo" , "Théo" , "Thayer" , "Thibault" , "Thibaut" , "Thiery" , "Tiennan" , "Tiennot" , "Titouan" , "Toussaint" , "Travaris" , "Tyson" , "Urson" , "Vachel" , "Valentin" , "Valere" , "Vallis" , "Verdun" , "Victoir" , "Victor" , "Waltier" , "William" , "Wyatt" , "Yanis" , "Yann" , "Yves" , "Yvon" , "Zosime" , "Abrial" , "Abrielle" , "Abril" , "Adele" , "Alair" , "Alerion" , "Amee" , "Angelique" , "Annette" , "Antonella" , "Arian" , "Ariane" , "Armandina" , "Aubree" , "Aubrielle" , "Audra" , "Avril" , "Bella" , "Berneta" , "Bette" , "Blaise" , "Blanche" , "Blasa" , "Bonte" , "Brie" , "Brienne" , "Brigit" , "Cachay" , "Calice" , "Camille" , "Camylle" , "Caprice" , "Caressa" , "Caroline" , "Catin" , "Celesta" , "Celeste" , "Cera" , "Cerise" , "Chablis" , "Chalice" , "Chambray" , "Champagne" , "Chandell" , "Chaney" , "Chantal" , "Chante" , "Chanterelle" , "Chantile" , "Chantilly" , "Chantrice" , "Charla" , "Charlotte" , "Charmane" , "Chaton" , "Chemin" , "Chenetta" , "Cher" , "Chere" , "Cheri" , "Cheryl" , "Christine" , "Cidney" , "Cinderella" , "Claire" , "Claudette" , "Colette" , "Cordelle" , "Cydnee" , "Daeja" , "Daija" , "Daja" , "Damzel" , "Darelle" , "Darlene"
2 of 4
6

On csv-parsers-comparison we can find comparison between CSV Reader/Writer-s. The fastest is uniVocity CSV parser. Third is Jackson which I personally prefer. Using @Basil Bourque great example I changed it a little bit and used Jackson classes. Method read returns MappingIterator which you can use to initialise your heap object (see how I added elements to List). I did not include time details but you can do it yourself using Basil's and this solution:

import com.fasterxml.jackson.databind.MappingIterator;
import com.fasterxml.jackson.databind.ObjectReader;
import com.fasterxml.jackson.databind.ObjectWriter;
import com.fasterxml.jackson.dataformat.csv.CsvMapper;
import com.fasterxml.jackson.dataformat.csv.CsvSchema;

import java.io.File;
import java.io.FileWriter;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.ThreadLocalRandom;

public class CsvSpeed {

    public static void main(String[] args) throws Exception {
        File csvFile = new File("./resource/persons.csv").getAbsoluteFile();

        CsvSchema schema = CsvSchema.builder()
                .addColumn("givenName")
                .addColumn("surname")
                .addColumn("id")
                .addColumn("description")
                .build().withHeader();

        CsvSpeed csvSpeed = new CsvSpeed();
        csvSpeed.write(csvFile, schema);

        // Read.
        long start = System.nanoTime();
        MappingIterator<Person> personMappingIterator = csvSpeed.read(csvFile, schema);
        List<Person> persons = new ArrayList<>(40_000);
        personMappingIterator.forEachRemaining(persons::add);

        long stop = System.nanoTime();

        System.out.println(persons.size());

        // Time.
        long elapsed = (stop - start);
        Duration d = Duration.ofNanos(elapsed);
        System.out.println("Reading elapsed: " + d);
        System.out.println("Reading took nanos per row: " + (elapsed / persons.size()));
        System.out.println("nanos elapsed: " + elapsed + "  |  list.size: " + persons.size());
    }

    public MappingIterator<Person> read(final File path, CsvSchema schema) throws Exception {
        CsvMapper csvMapper = new CsvMapper();

        ObjectReader reader = csvMapper.readerFor(Person.class).with(schema);
        return reader.readValues(path);
    }

    public void write(final File path, CsvSchema schema) throws Exception {
        ThreadLocalRandom random = ThreadLocalRandom.current();

        CsvMapper csvMapper = new CsvMapper();
        ObjectWriter writer = csvMapper.writerFor(Person.class).with(schema);

        try (FileWriter fileWriter = new FileWriter(path)) {
            List<String> givenNames = Arrays.asList("Adrien", "Aimon", "Alerion", "Alexis", "Alezan", "Ancil", "Andre", "Antoine", "Archard", "Aurélien", "Averill", "Baptiste", "Barnard", "Bartelemy", "Bastien", "Baylee", "Beale", "Beau", "Beaumont", "Beauregard", "Bellamy", "Berger", "Blaize", "Blondel", "Boyce", "Bruce", "Brunelle", "Brys", "Burcet", "Burnell", "Burrell", "Byron", "Canaan", "Carden", "Carolas", "Cavell", "Chace", "Chanler", "Chante", "Chappel", "Charles", "Chasen", "Chason", "Chemin", "Chene", "Cher", "Chevalier", "Cheyne", "Clément", "Clemence", "Corbin", "Coty", "Cygne", "Damien", "Dandre", "Dariel", "Darl", "Dauphine", "Davet", "Dax", "Dean", "Delice", "Delmon", "Destin", "Dominique", "Donatien", "Duke", "Eliott", "Elroy", "Enzo", "Erwan", "Etalon", "Ethan", "Fabron", "Ferrand", "Filberte", "Florent", "Florian", "Fontaine", "Forest", "Fortune", "Franchot", "Francois", "Fraser", "Frayne", "Gaëtan", "Gabin", "Gage", "Gaige", "Garland", "Garner", "Gaston", "Gauge", "Gaylord", "Germain", "Germaine", "German", "Gervaise", "Giles", "Gilles", "Gitan", "Grosvener", "Guifford", "Guion", "Guy", "Guzman", "Henri", "Holland", "Hugo", "Hugues", "Hyacinthe", "Jérémy", "Jacquan", "Jacques", "Jacquez", "Janvier", "Jardan", "Jay", "Jaye", "Jehan", "Jemond", "Jocquez", "Jonathan", "Jules", "Julien", "Justus", "Karoly", "Lado", "Lafayette", "Lamond", "Lancelin", "Landis", "Landry", "Laron", "Larrimore", "Laurent", "LaValle", "Leandre", "Leggett", "Leonce", "Leron", "Leverett", "Lilian", "Loïc", "Lorenzo", "Louis", "Lowell", "Luc", "Lucien", "Lukas", "Macaire", "Mace", "Mahieu", "Maison", "Malleville", "Manneville", "Mantel", "Marc", "Marcel", "Marion", "Marius", "Markez", "Markis", "Marmion", "Marquis", "Marquise", "Marshall", "Martial", "Maslin", "Mason", "Matheo", "Mathias", "Mathys", "Matthieu", "Maxence", "Mayson", "Mehdi", "Merle", "Merville", "Montague", "Montaigu", "Monte", "Montgomery", "Montreal", "Montrel", "Moore", "Morel", "Mortimer", "Nerville", "Neuveville", "Nicolas", "Noë", "Noah", "Noe", "Norman", "Norville", "Nouel", "Olivier", "Onfroi", "Paien", "Parfait", "Parnell", "Pascal", "Patrice", "Paul", "Peppin", "Percival", "Percy", "Pernell", "Peverell", "Philipe", "Pierpont", "Pierre", "Pomeroy", "Prewitt", "Purvis", "Quennell", "Quentin", "Quincey", "Quincy", "Quintin", "Rémi", "Rafaelle", "Ranger", "Raoul", "Raphaël", "Rapier", "Rawlins", "Ray", "Raynard", "Remi", "René", "Renard", "Rene", "Reule", "Reynard", "Robin", "Romain", "Rondel", "Roy", "Royal", "Ruff", "Rush", "Russel", "Rustin", "Sabastien", "Sacha", "Salomon", "Samuel", "Satordi", "Saville", "Scoville", "Sebastien", "Sennett", "Severin", "Shant", "Shantae", "Sidney", "Siffre", "Simeon", "Simon", "Sinclair", "Sofiane", "Somer", "Stephane", "Sully", "Sydney", "Sylvain", "Talbot", "Talon", "Telford", "Tempest", "Teppo", "Théo", "Thayer", "Thibault", "Thibaut", "Thiery", "Tiennan", "Tiennot", "Titouan", "Toussaint", "Travaris", "Tyson", "Urson", "Vachel", "Valentin", "Valere", "Vallis", "Verdun", "Victoir", "Victor", "Waltier", "William", "Wyatt", "Yanis", "Yann", "Yves", "Yvon", "Zosime", "Abrial", "Abrielle", "Abril", "Adele", "Alair", "Alerion", "Amee", "Angelique", "Annette", "Antonella", "Arian", "Ariane", "Armandina", "Aubree", "Aubrielle", "Audra", "Avril", "Bella", "Berneta", "Bette", "Blaise", "Blanche", "Blasa", "Bonte", "Brie", "Brienne", "Brigit", "Cachay", "Calice", "Camille", "Camylle", "Caprice", "Caressa", "Caroline", "Catin", "Celesta", "Celeste", "Cera", "Cerise", "Chablis", "Chalice", "Chambray", "Champagne", "Chandell", "Chaney", "Chantal", "Chante", "Chanterelle", "Chantile", "Chantilly", "Chantrice", "Charla", "Charlotte", "Charmane", "Chaton", "Chemin", "Chenetta", "Cher", "Chere", "Cheri", "Cheryl", "Christine", "Cidney", "Cinderella", "Claire", "Claudette", "Colette", "Cordelle", "Cydnee", "Daeja", "Daija", "Daja", "Damzel", "Darelle", "Darlene", "Darselle", "Dejanelle", "Deleena", "Delice", "Demeri", "Deni", "Denise", "Desgracias", "Desire", "Desiree", "Destanee", "Destiny", "Dior", "Domanique", "Dominique", "Elaina", "Elaine", "Elayna", "Elise", "Eloisa", "Elyse", "Emeline", "Emmaline", "Emmeline", "Estella", "Estrella", "Etiennette", "Evette", "Fabienne", "Fabrienne", "Fanchon", "Fancy", "Fawna", "Fayana", "Fayette", "Fifi", "Fleur", "Fleurette", "Fontanna", "Fosette", "Francine", "Frederique", "Gabriel", "Gabriele", "Gabrielle", "Gaby", "Garcelle", "Gena", "Genie", "Georgette", "Germaine", "Gervaise", "Gitana", "Harriet", "Heloisa", "Holland", "Honnetta", "Isabelle", "Ivette", "Ivonne", "Jacqueena", "Jacquetta", "Jacquiline", "Jacyline", "Jaime", "Jakqueline", "Janeen", "Janelly", "Janina", "Janiqua", "Janique", "Jannnelle", "Jaquita", "Jardena", "Jeanetta", "Jermaine", "Jessamine", "Jewel", "Jewell", "Joli", "Jolie", "Josephine", "Jozephine", "Julieta", "Karessa", "Karmaine", "Klara", "Laine", "Lanelle", "Laramie", "Layne", "Layney", "Leala", "Leonette", "Lissette", "Lizette", "Lourdes", "Lucienne", "Ly", "Lyla", "Lysette", "Madelaine", "Malerie", "Manette", "Marais", "Marcelle", "Marché", "Mardi", "Margo", "Marguerite", "Marie", "Marie Claude", "Marie Frances", "Marie Joelle", "Marie Pascale", "Marie Sophie", "Marjolaine", "Marquise", "Marvella", "Mathieu", "Matisse", "Maurelle", "Maurissa", "Mavis", "Melisande", "Michelle", "Miette", "Mignon", "Mimi", "Mirya", "Monet", "Moniqua", "Monteen", "Musetta", "Myrlie", "Nadeen", "Nadia", "Nadiyah", "Naeva", "Nanon", "Natalle", "Naudia", "Nettie", "Nicholas", "Nicki", "Nicky", "Nicole", "Nicolette", 
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QA Automation Expert
qaautomation.expert › 2025 › 04 › 08 › mastering-csv-file-handling-in-java-with-opencsv
Mastering CSV File Handling in Java with OpenCSV – QA Automation Expert
April 8, 2025 - HOME Handling CSV files in Java is efficient with the OpenCSV library. It provides simple methods to read and write CSV files. Below is a detailed guide to mastering CSV file handling using OpenCSV: A Comma-Separated Values (CSV) file is just ...
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E-spirit
docs.e-spirit.com › odfs › access › de › espirit › common › util › CsvReader.html
CsvReader (FirstSpirit Access-API)
java.lang.Object · de.espirit.common.util.CsvReader · public class CsvReader extends Object · Utility class to parse CSV files.