博客
关于我
如何在Java中生成大量随机CSV文件
阅读量:732 次
发布时间:2019-03-22

本文共 2853 字,大约阅读时间需要 9 分钟。

The CSV format remains one of the simplest and most widely used methods for data exchange. Its popularity has led to a constant need for developers to generate large volumes of CSV files for testing purposes. My latest open source project aims to address this need.

This project, , is a Java library designed to help developers generate randomized data files. Currently, it supports CSV and Fixed Width formats, with plans to expand to JSON formats in the future.

This guide will walk you through generating a simple CSV file using the library and the Faker library for random data generation.

Maven Integration

For Maven projects, you can add the required dependencies to your project's pom.xml file by including the following XML snippet:

au.com.anthonybruno        SdGen        0.3.0                com.github.javafaker        javafaker        0.14

Instructions

First, obtain an instance of the Faker class with the following code:

Faker faker = Faker.instance();

Next, use the Faker instance to generate values like URLs or names using methods such as faker.internet().url() or faker.space().planet().

To create the structure for your CSV file, use the SDGen builder. Start with:

Gen.start()

Then, add fields using the addField method. This method takes two parameters: the field name (used to identify the column in the generated file) and a generator (a simple interface with a single method to generate random values). Here's how to add "First Name" and "Last Name" fields:

Gen.start()    .addField("First Name", () -> faker.name().firstName())    .addField("Last Name", () -> faker.name().lastName())

For the "Age" field, you can use SDGen's built-in generator with specified min and max values:

Gen.start()    .addField("First Name", () -> faker.name().firstName())    .addField("Last Name", () -> faker.name().lastName())    .addField("Age", new IntGenerator(18, 80))

Next, specify the number of rows to generate and select the output format. For CSV files, you can use:

Gen.start()    .addField("First Name", () -> faker.name().firstName())    .addField("Last Name", () -> faker.name().lastName())    .addField("Age", new IntGenerator(18, 80))    .generate(1000)    .asCsv()

Finally, specify how to output the data. Use the toFile method to save the generated data to a file:

Gen.start()    .addField("First Name", () -> faker.name().firstName())    .addField("Last Name", () -> faker.name().lastName())    .addField("Age", new IntGenerator(18, 80))    .generate(1000)    .asCsv()    .toFile("people.csv");

That's it! Running the code will generate a CSV file in your project's working directory. Here's an example of the generated data:

First Name,Last Name,Age  
Corrine,Berge,78
Gerald,Carter,63
Enid,Padberg,66
Eleanora,Murray,79
Coy,Okuneva,76
Jovan,Reynolds,77
Lane,Haag,48

For more details about SDGen, visit its official website.

转载地址:http://qmwwk.baihongyu.com/

你可能感兴趣的文章
MySQL、Redis高频面试题汇总
查看>>
MYSQL、SQL Server、Oracle数据库排序空值null问题及其解决办法
查看>>
mysql一个字段为空时使用另一个字段排序
查看>>
MySQL一个表A中多个字段关联了表B的ID,如何关联查询?
查看>>
MYSQL一直显示正在启动
查看>>
MySQL一站到底!华为首发MySQL进阶宝典,基础+优化+源码+架构+实战五飞
查看>>
MySQL万字总结!超详细!
查看>>
Mysql下载以及安装(新手入门,超详细)
查看>>
MySQL不会性能调优?看看这份清华架构师编写的MySQL性能优化手册吧
查看>>
MySQL不同字符集及排序规则详解:业务场景下的最佳选
查看>>
Mysql不同官方版本对比
查看>>
MySQL与Informix数据库中的同义表创建:深入解析与比较
查看>>
mysql与mem_细说 MySQL 之 MEM_ROOT
查看>>
MySQL与Oracle的数据迁移注意事项,另附转换工具链接
查看>>
mysql丢失更新问题
查看>>
MySQL两千万数据优化&迁移
查看>>
MySql中 delimiter 详解
查看>>
MYSQL中 find_in_set() 函数用法详解
查看>>
MySQL中auto_increment有什么作用?(IT枫斗者)
查看>>
MySQL中B+Tree索引原理
查看>>