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How Can I Efficiently Read and Process CSV Files in C# Using the .NET BCL?
How Can I Efficiently Read and Process CSV Files in C# Using the .NET BCL?
Jan 31, 2025 pm 02:31 PM
Efficiently Reading and Processing CSV Files in C# using the .NET Base Class Library (BCL)
This article demonstrates a robust method for reading CSV files in C#, displaying the data in a DataGrid, and handling corrupted lines separately. It improves upon manual string splitting by leveraging the power of the .NET BCL.
Utilizing the .NET BCL for Enhanced CSV Parsing
Instead of relying on manual array-based string splitting, which can be inefficient and error-prone, we'll use the Microsoft.VisualBasic.FileIO.TextFieldParser class. This class offers a streamlined and more efficient approach to parsing CSV data.
Implementation Example
The following code snippet showcases how to use TextFieldParser to read and process a CSV file:
using (TextFieldParser parser = new TextFieldParser(@"c:\temp\test.csv"))
{
parser.TextFieldType = FieldType.Delimited;
parser.SetDelimiters(",");
while (!parser.EndOfData)
{
// Process each row
string[] fields = parser.ReadFields();
// Handle potential errors (e.g., incorrect number of fields)
if (fields.Length > 0) {
foreach (string field in fields)
{
// Process each field individually (e.g., add to DataGrid)
}
} else {
// Handle corrupted lines (e.g., add to separate error DataGrid)
}
}
}
Further Resources
For more detailed information and examples, refer to the following Microsoft documentation:
By employing the .NET BCL's TextFieldParser, you can significantly improve the efficiency and reliability of your C# CSV file processing. This approach handles potential errors more gracefully and provides a cleaner, more maintainable solution.
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