1 | initial version |
There are several ways to discard a missing value in Filehelpers, depending on the context and requirements of the data:
Ignore missing values during import: When importing data using Filehelpers, you can use the [FieldIgnored]
attribute to skip fields with missing or empty values. For example:
[DelimitedRecord(",")]
public class MyRecord
{
public int Id { get; set; }
[FieldIgnored]
public string Description { get; set; }
public double Value { get; set; }
}
This code defines a class with three fields (Id
, Description
, and Value
) and marks the Description
field as ignored. If the input file contains empty values for this field, they will be skipped during import.
Replace missing values with default values: If you want to replace missing values with some default value during import, you can use the [FieldNullValue]
attribute. For example:
[DelimitedRecord(",")]
public class MyRecord
{
public int Id { get; set; }
[FieldNullValue("")]
public string Description { get; set; }
[FieldNullValue("0")]
public double Value { get; set; }
}
This code defines a class with three fields (Id
, Description
, and Value
) and sets default values for missing values. If the input file contains empty values for Description
, they will be replaced with an empty string. If it contains missing values for Value
, they will be replaced with zero.
Filter out missing values after import: If you want to filter out missing values after import, you can use LINQ queries to remove or exclude records with empty or null values. For example:
var records = FileHelperEngine<MyRecord>.ReadFile("data.csv");
var filteredRecords = records.Where(r => !string.IsNullOrEmpty(r.Description)
&& r.Value != 0);
This code reads a CSV file into a list of MyRecord
objects and then filters out any records with missing values for Description
or Value
. The resulting filteredRecords
list will contain only records with non-empty Description
and non-zero Value
.