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DataGridView to CSV File

I have a VB 2010 Express Project, that has a DataGridView in it, that I am trying to write to a CSV file.

I have the write all working. But its slow. Slow = maybe 30 seconds for 6000 rows over 8 columns.

Here is my code:

    Private Sub btnExportData_Click(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles btnExportData.Click
    Dim StrExport As String = ""
    For Each C As DataGridViewColumn In DataGridView1.Columns
        StrExport &= """" & C.HeaderText & ""","
    Next
    StrExport = StrExport.Substring(0, StrExport.Length - 1)
    StrExport &= Environment.NewLine

    For Each R As DataGridViewRow In DataGridView1.Rows
        For Each C As DataGridViewCell In R.Cells
            If Not C.Value Is Nothing Then
                StrExport &= """" & C.Value.ToString & ""","
            Else
                StrExport &= """" & "" & ""","
            End If
        Next
        StrExport = StrExport.Substring(0, StrExport.Length - 1)
        StrExport &= Environment.NewLine
    Next

    Dim tw As IO.TextWriter = New IO.StreamWriter("C:\Test1.CSV")
    tw.Write(StrExport)
    tw.Close()
End Sub

Does anyone know what I can do to speed it up?

thanks

like image 625
greg Avatar asked Jul 13 '11 23:07

greg


1 Answers

Don't you just love it when you spend hours searching, then post a question, and a few minutes later find the answer yourself?

This did the trick for me:

Dim headers = (From header As DataGridViewColumn In DataGridView1.Columns.Cast(Of DataGridViewColumn)() _
              Select header.HeaderText).ToArray
Dim rows = From row As DataGridViewRow In DataGridView1.Rows.Cast(Of DataGridViewRow)() _
           Where Not row.IsNewRow _
           Select Array.ConvertAll(row.Cells.Cast(Of DataGridViewCell).ToArray, Function(c) If(c.Value IsNot Nothing, c.Value.ToString, ""))
Using sw As New IO.StreamWriter("csv.txt")
    sw.WriteLine(String.Join(",", headers))
    For Each r In rows
        sw.WriteLine(String.Join(",", r))
    Next
End Using
Process.Start("csv.txt")
like image 101
greg Avatar answered Oct 06 '22 01:10

greg