CODEWITHSUNDEEP
javacsvsupercsv
General Waters
General Waters

Reputation: 1139

SuperCSV - Parsing multiple columns to a List

Given the following example csv data

name,address,sibling,sibling,sibling John,MainSt,Sarah,Mike,Greg

and the example POJO that I want to parse the data into

public class Employee {
   private String name;
   private String address;
   private List<String> siblings;

   public Employee() { }  

   public void setName(String name) { ... }
   public void setAddress(String address { ... }
   public void setSiblings(List<String> siblings) { ... }
}

and the following field mapping

String[] fieldMapping = new String[]{
    "name",
    "address",
    "siblings[0]",
    "siblings[1]",
    "siblings[2]"
}

and the following cell processors

CellProcessors[] processors = new CellProcessors[]{
    new NotNull(),    // name
    new NotNull(),    // address
    new NotNull(),    // siblings[0]
    new NotNull(),    // siblings[1]
    new NotNull()     // siblings[2]
}

I would expect to be able to parse the csv data into Employee without a problem, however I am receiving the following exception

org.supercsv.exception.SuperCsvReflectionException: unable to find method setSiblings[0](java.lang.String) in class com.Employee - check that the corresponding nameMapping element matches the field name in the bean, and the cell processor returns a type compatible with the field

This is how I do the actual parsing

List<Employee> deserializedRecords = new ArrayList<>();
try (ICsvBeanReader beanReader = new CsvBeanReader(new FileReader(file), CsvPreferences.STANDARD_PREFERENCE)) {
    beanReader.getHeader(true);
    Employee model;
    while ((model = (Employee) beanReader.read(Employee.class, fieldMapping, processors)) != null) {
        deserializedRecords.add(model);
    }
}

This pretty much follows the answer given here, and after reading the SuperCSV documentation, I'm not entirely sure why the exception is getting thrown.

Upvotes: 1

Views: 778

Answers (1)

James Bassett
James Bassett

Reputation: 9868

You're using CsvBeanReader which doesn't support indexed (or deep) mapping. You're looking for CsvDozerBeanReader (examples here).

Upvotes: 2

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