How Can I Efficiently Read and Handle Corrupted CSV Files in C#?

Efficiently Handling Corrupted CSV Files in C#

C# applications frequently process CSV files. However, corrupted data can pose significant challenges. This guide demonstrates optimized CSV reading in C#, focusing on handling corrupted lines effectively.

Utilizing Microsoft.VisualBasic for Streamlined Parsing

Avoid manual CSV value splitting. The Microsoft.VisualBasic namespace provides the TextFieldParser class, simplifying parsing by defining field types and delimiters.

<code class="language-csharp">using Microsoft.VisualBasic;
using Microsoft.VisualBasic.FileIO;

using (TextFieldParser parser = new TextFieldParser(@"c:\temp\test.csv"))
{
    parser.TextFieldType = FieldType.Delimited;
    parser.SetDelimiters(",");
}</code>

Robust Corrupted Line Detection and Management

Before processing each row, implement checks to identify corrupted lines. For instance, a row with fewer than 5 values might indicate corruption:

<code class="language-csharp">while (!parser.EndOfData)
{
    string[] fields = parser.ReadFields();
    if (fields.Length < 5)
    {
        // Handle corrupted line - e.g., log it or add it to a separate grid for review.
    }
    else
    {
        // Process valid row
    }
}</code>

Further Enhancements

For enhanced error handling and more sophisticated data validation, consider these resources:

• MSDN: Reading from Comma-Delimited Text Files in Visual Basic
• MSDN: TextFieldParser Class

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