San*_*rdo 7 java eclipse csv data-structures reader
我一直在尝试使用 openCSV 读取几个 csv 文件（大约 20 MB），但到目前为止它一直很慢。我正在尝试读取 4 个 csv 文件，这些文件正在加载到我设计的堆中。我想知道，是否有其他方法可以在更短的时间内完成。
private Heap<VOMovingViolations> datosHeap;
public void loadMovingViolations()
{
Runtime garbage = Runtime.getRuntime();
garbage.gc();
try
{
FileReader fileReaderMes1 = new FileReader(FECHAS[0]);
FileReader fileReaderMes2 = new FileReader(FECHAS[1]);
FileReader fileReaderMes3 = new FileReader(FECHAS[2]);
FileReader fileReaderMes4 = new FileReader(FECHAS[3]);
CSVReader enero = new CSVReaderBuilder(fileReaderMes1).withSkipLines(1).build();
CSVReader febrero = new CSVReaderBuilder(fileReaderMes2).withSkipLines(1).build();
CSVReader marzo = new CSVReaderBuilder(fileReaderMes3).withSkipLines(1).build();
CSVReader abril = new CSVReaderBuilder(fileReaderMes4).withSkipLines(1).build();
String[] row;
while((row = enero.readNext()) != null)
{
int objectId = Integer.parseInt(row[0]);
int totalPaid = (int)Double.parseDouble(row[9]);
short fi = Short.parseShort(row[8]);
short penalty1 = Short.parseShort(row[10]);
datosHeap.insert(new VOMovingViolations(objectId, totalPaid, fi, row[2], row[13],
row[12],row[14], row[15], row[4], row[3], penalty1));
}
while((row = febrero.readNext()) != null)
{
int objectId = Integer.parseInt(row[0]);
int totalPaid = (int)Double.parseDouble(row[9]);
short fi = Short.parseShort(row[8]);
short penalty1 = Short.parseShort(row[10]);
datosHeap.insert(new VOMovingViolations(objectId, totalPaid, fi, row[2], row[13],
row[12],row[14], row[15], row[4], row[3], penalty1));
}
while((row = marzo.readNext()) != null)
{
int objectId = Integer.parseInt(row[0]);
int totalPaid = (int)Double.parseDouble(row[9]);
short fi = Short.parseShort(row[8]);
short penalty1 = Short.parseShort(row[10]);
datosHeap.insert(new VOMovingViolations(objectId, totalPaid, fi, row[2], row[13],
row[12],row[14], row[15], row[4], row[3], penalty1));
}
while((row = abril.readNext()) != null)
{
int objectId = Integer.parseInt(row[0]);
int totalPaid = (int)Double.parseDouble(row[9]);
short fi = Short.parseShort(row[8]);
short penalty1 = Short.parseShort(row[10]);
datosHeap.insert(new VOMovingViolations(objectId, totalPaid, fi, row[2], row[13],
row[12],row[14], row[15], row[4], row[3], penalty1));
}
}
catch (FileNotFoundException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
我真的很感激有人可以给我的任何帮助或任何想法。
读取一个 20 MB 的 CSV 文件并每行实例化一个对象，总共花费的时间不到 1 秒。
你没有定义“慢”这个词。所以我做了一个实验，一个随意的基准测试。
首先，我们创建一个包含 40,000Person条记录的 20 MB 文件。每个Person都有一个法语名字和姓氏、一个UUID和一些任意文本作为描述。数据以UTF-8格式写入CSV文件中的四列。我使用Apache Commons CSV库来读写。
其次，读取这个写入的文件。每行数据被读入内存，然后用于实例化和收集一个Person对象。
读取此文件并Person为每一行实例化对象的总耗时不到一秒。每行大约需要 20K纳秒。实际上，这包括读取文件两次，因为我们进行扫描以计算数据的行数以设置收集实例的初始容量。此外，我们正在将输入的十六进制字符串解析为UUID的 128 位值，因此我们将一些时间用于数据处理（不仅仅是读取）。
这是Person课堂。
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 + '\'' +
" }";
}
}
这是写入然后读取 20 MB 文件的完整应用程序。请学习和批评，因为我很快就提出了这个问题。我没有仔细检查我的工作。
你会找到一种write方法，一种read方法。该main方法调用两者并跟踪时间。
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" , "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" , "Nicolina" , "Nicolle" , "Nikolette" , "Ninette" , "Ninon" , "Noelle" , "Nycole" , "Odelette" , "Opaline" , "Orane" , "Orva" , "Page" , "Parisa" , "Parnel" , "Parris" , "Patrice" , "Peridot" , "Pippi" , "Prairie" , "Rachele" , "Rachelle" , "Racquel" , "Raphaelle" , "Raquelle" , "Remi" , "Renée" , "Renea" , "Renelle" , "Renita" , "Risette" , "Rochelle" , "Romy" , "Rosabel" , "Rosiclara" , "Ruba" , "Russhell" , "Saleena" , "Salina" , "Satin" , "Sedona" , "Serene" , "Shandelle" , "Shanta" , "Shante" , "Shariah" , "Sharita" , "Sharleen" , "Sheree" , "Shereen" , "Sherell" , "Sherice" , "Sherry" , "Sidnee" , "Sidney" , "Sidnie" , "Sidonie" , "Sinclaire" , "Solange" , "Solen" , "Sorrel" , "Suzette" , "Sydnee" , "Sydney" , "Tallis" , "Tempest" , "Toinette" , "Turquoise" , "Veronique" , "Vignette" , "Villette" , "Violeta" , "Virginie" , "Voleta" , "Vonny" );
List < String > surnames = List.of( "Arceneau" , "Aucoin" , "Babin" , "Babineaux" , "Benoit" , "Bergeron" , "Bernard" , "Bertrand" , "Bessette" , "Blanc" , "Blanchard" , "Bonnet" , "Boucher" , "Bourg" , "Bourque" , "Boutin" , "Bouvier" , "Braud" , "Broussard" , "Brun" , "Chevalier" , "David" , "Depaul" , "Desmarais" , "Disney" , "Dubois" , "Dupont" , "Dupuis" , "Durand" , "Fortescue" , "Fournier" , "Garnier" , "Gaudet" , "Gillet" , "Gillette" , "Girard" , "Gravois" , "Grosvenor" , "Lambert" , "Landry" , "Laroche" , "Laurent" , "Lefevre" , "Leroy" , "Leveque" , "Lisle" , "Martin" , "Michel" , "Molyneux" , "Moreau" , "Morel" , "Neville" , "Pelletier" , "Petit" , "Prideux" , "Renard" , "Richard" , "Robert" , "Rousseau" , "Roux" , "Rufus" , "Simon" , "Thomas" );
for ( int i = 1 ; i <= limit ; i++ )
{
String givenName = givenNames.get( random.nextInt( 0 , givenNames.size() ) );
String surname = surnames.get( random.nextInt( 0 , surnames.size() ) );
UUID id = UUID.randomUUID();
String description = Person.LOREM_IPSUM;
printer.printRecord( givenName , surname , id , description );
}
} catch ( IOException e )
{
e.printStackTrace();
}
}
public static void main ( final String[] args )
{
// Launch the app.
CsvSpeed app = new CsvSpeed();
// Write.
String when = Instant.now().truncatedTo( ChronoUnit.SECONDS ).toString().replace( ":" , "•" );
Path pathOutput = Paths.get( "/Users/basilbourque/persons.csv" );
app.write( pathOutput );
System.out.println( "Writing file: " + pathOutput );
// Read.
long start = System.nanoTime();
Path pathInput = Paths.get( "/Users/basilbourque/persons.csv" );
List < Person > list = app.read( pathInput );
long stop = System.nanoTime();
// 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 / list.size() ) );
System.out.println( "nanos elapsed: " + elapsed + " | list.size: " + list.size() );
}
}
运行时：
写入文件：/Users/basilbourque/persons.csv
已读：PT0.857816234S
阅读每行花费 nanos：21445
nanos 已用：857816234 | 列表大小：40000
技术栈：
在csv-parsers-comparison 上，我们可以找到CSV Reader/ Writer-s之间的比较。最快的是uniVocity CSV parser。第三是Jackson我个人比较喜欢的。使用@Basil Bourque很好的示例，我对其进行了一些更改并使用了Jackson类。方法 read 返回MappingIterator，您可以使用它来初始化堆对象（请参阅我如何向 中添加元素List）。我没有包括时间细节，但您可以使用 Basil's 和此解决方案自己完成：
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", "Nicolina", "Nicolle", "Nikolette", "Ninette", "Ninon", "Noelle", "Nycole", "Odelette", "Opaline", "Orane", "Orva", "Page", "Parisa", "Parnel", "Parris", "Patrice", "Peridot", "Pippi", "Prairie", "Rachele", "Rachelle", "Racquel", "Raphaelle", "Raquelle", "Remi", "Renée", "Renea", "Renelle", "Renita", "Risette", "Rochelle", "Romy", "Rosabel", "Rosiclara", "Ruba", "Russhell", "Saleena", "Salina", "Satin", "Sedona", "Serene", "Shandelle", "Shanta", "Shante", "Shariah", "Sharita", "Sharleen", "Sheree", "Shereen", "Sherell", "Sherice", "Sherry", "Sidnee", "Sidney", "Sidnie", "Sidonie", "Sinclaire", "Solange", "Solen", "Sorrel", "Suzette", "Sydnee", "Sydney", "Tallis", "Tempest", "Toinette", "Turquoise", "Veronique", "Vignette", "Villette", "Violeta", "Virginie", "Voleta", "Vonny");
List<String> surnames = Arrays.asList("Arceneau", "Aucoin", "Babin", "Babineaux", "Benoit", "Bergeron", "Bernard", "Bertrand", "Bessette", "Blanc", "Blanchard", "Bonnet", "Boucher", "Bourg", "Bourque", "Boutin", "Bouvier", "Braud", "Broussard", "Brun", "Chevalier", "David", "Depaul", "Desmarais", "Disney", "Dubois", "Dupont", "Dupuis", "Durand", "Fortescue", "Fournier", "Garnier", "Gaudet", "Gillet", "Gillette", "Girard", "Gravois", "Grosvenor", "Lambert", "Landry", "Laroche", "Laurent", "Lefevre", "Leroy", "Leveque", "Lisle", "Martin", "Michel", "Molyneux", "Moreau", "Morel", "Neville", "Pelletier", "Petit", "Prideux", "Renard", "Richard", "Robert", "Rousseau", "Roux", "Rufus", "Simon", "Thomas");
Iterable<Person> persons = () -> {
return new Iterator<Person>() {
int counter = 40_000; //0_000; // 40_000 yields about 20 MB of data.
@Override
public boolean hasNext() {
return counter-- > 0;
}
@Override
public Person next() {
String givenName = givenNames.get(random.nextInt(0, givenNames.size()));
String surname = surnames.get(random.nextInt(0, surnames.size()));
UUID id = UUID.randomUUID();
String description = Person.LOREM_IPSUM;
return new Person(givenName, surname, id, description);
}
};
};
writer.writeValues(fileWriter).writeAll(persons);
}
}
}
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.
private String givenName, surname, description;
private UUID id;
public Person() {
}
public Person(String givenName, String surname, UUID id, String description) {
this.givenName = givenName;
this.surname = surname;
this.id = id;
this.description = description;
}
public String getGivenName() {
return givenName;
}
public void setGivenName(String givenName) {
this.givenName = givenName;
}
public String getSurname() {
return surname;
}
public void setSurname(String surname) {
this.surname = surname;
}
public String getDescription() {
return description;
}
public void setDescription(String description) {
this.description = description;
}
public UUID getId() {
return id;
}
public void setId(UUID id) {
this.id = id;
}
@Override
public String toString() {
return "Person{ " +
"givenName='" + givenName + '\'' +
" | surname='" + surname + '\'' +
" | id='" + id + '\'' +
" }";
}
}
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