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What are the best and fastest methods for reading Excel sheets into a DataTable?

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Release: 2025-01-03 07:30:39
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What are the best and fastest methods for reading Excel sheets into a DataTable?

Best and Fastest Methods for Reading Excel Sheets into a DataTable

1. Using ODBC

The provided VB.NET code utilizing ODBC to read Excel data is a viable option. ODBC offers a quick and reliable way to connect to Excel files and retrieve their data. The key step is to create an appropriate connection string that specifies the Excel file path and any necessary driver parameters.

2. Using ADO.NET

For C# developers, the ADO.NET library can be leveraged to access Excel data. The following code snippet demonstrates how to establish an OleDbConnection and execute a query to retrieve data from a specific Excel sheet:

string sConnection = "Provider=Microsoft.ACE.OLEDB.12.0;Data Source=C:\Test.xls;Extended Properties=\"Excel 12.0;HDR=No;IMEX=1\"";
using (OleDbConnection oleExcelConnection = new OleDbConnection(sConnection))
{
    using (OleDbCommand oleExcelCommand = oleExcelConnection.CreateCommand())
    {
        oleExcelCommand.CommandText = "Select * From [" + sSheetName + "]";
        using (OleDbDataReader oleExcelReader = oleExcelCommand.ExecuteReader())
        {
            // Read data from the Excel sheet
        }
    }
}
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3. Using LINQ to Excel

LINQ to Excel is a third-party library that provides a convenient way to query Excel data. It allows you to write LINQ queries against Excel files and access their rows and cells as objects.

using LinqToExcel;
var excel = new ExcelQueryFactory(fileName);
var data = from row in excel.Worksheet(sheetName)
           select new { row["Column1"], row["Column2"], row["Column3"] };
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Dispose Pattern

Regarding your question about disposing the OdbcDataAdapter object, it will be handled by the using statement in your code. The using statement ensures that the object is disposed properly when it goes out of scope, releasing any resources it may be holding.

Additional Considerations

  • The performance of these methods may vary depending on the size and complexity of the Excel file you are reading.
  • It's important to handle exceptions that may occur during the reading process, such as file not found or invalid Excel data.
  • You may need to adjust the connection string parameters or query syntax based on the specific version and configuration of Excel you are using.

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