@CsvBindByName - 具有备用列名称的绑定列

@CsvBindByName - Binding column with alternate column name

我有两个 csv 源可以从中读取数据。这两个 csv 文件提供相同的数据,但具有不同的名称或列位置。有没有办法用“或”添加@CsvBindByName。比如两个文件的header如下

CSV 1 - RollNo, StudentName, Class, Age, PrimaryLanguage, ProjectName

CSV 2 - Name, Class, PrimLang, EnrollmentNumber, Age, Project, AttendancePercentage

而且我必须读取同一个 POJO 中的两个 csv 文件信息。

public class StudentInfo{
@CsvBindByName(column = "RollNo")
private String rollNo;

@CsvBindByName(column = "StudentName")
private String studentName;

@CsvBindByName(column = "PrimaryLanguage")
private String primaryLanguage;

@CsvBindByName(column = "Class")
private String class;

@CsvBindByName(column = "ProjectName")
private String projectName;

@CsvBindByName(column = "Age")
private String age;

//getters and setters
}  

或者是否有其他方法可以实现此目的。如果我只采用一种 csv header 格式,我的代码工作正常。谢谢

opencsv 中的

Profiles 解决了这个问题,但它只能从 5.4 开始使用。

参见 Profiles

上的 documentation

以下是官方文档中的代码片段。

public class Person {
  @CsvBindByNames({
    @CsvBindByName(column = "last name"),
    @CsvBindByName(profiles = {"customer 2", "customer 5"})
  })
  private String surname;

  @CsvBindByNames({
    @CsvBindByName,
    @CsvBindByName(column = "first name", profiles = "customer 1"),
    @CsvBindByName(column = "given name", profiles = "customer 2")
  })
  private String name;

  @CsvIgnore(profiles = "customer 2")
  @CsvBindByName(column = "middle initial")
  private char initial;

  @CsvBindByName(column = "salary", profiles = "customer 1")
  @CsvBindByName(column = "annual salary", profiles = "customer 2")
  @CsvNumber(value = "#0.00", profiles = "customer 1")
  @CsvNumber(value = "0.0#E0", profiles = "customer 2")
  private float salaryInUSD;

  @CsvBindByName(column = "height")
  @CsvNumbers({
    @CsvNumber("000"),
    @CsvNumber(value = "000cm", profiles = "customer 2")
  })
  private int heightInCentimeters

  // Accessor methods go here.
}


// Now, the profile can be used in the builder parse, see below.

List<Person> beans = new CsvToBeanBuilder<Person>(inputfile)
  .withProfile("customer 1")
  .withType(Person.class)
  .build()
  .parse();