I am using the TextFieldParser
Class to read comma separated value (.csv) file. Fields in this file are enclosed with double quotes like "Field1","Field2"
.
So, to read file, I've set the HasFieldsEnclosedInQuotes
property of TextFieldParser
object to true. But I get an error of MalformedLineException
when any of fields contain double quote (`"+ ) in the beginning.
Example: ""Field2"with additional"
Here I should see "Field2" with additional
as output.
However, if "
is anywhere except first position then it works fine.
Like line with "Field2 "with" additional"
works perfectly fine and gives me Field2 "with" additional
as output.
Does any one have same issue? Is there any way I can resolve this issue?
This is my code:
Private Sub ReadTextFile(ByVal txtFilePath As String)
Dim myReader As tfp = New Microsoft.VisualBasic.FileIO.TextFieldParser(txtFilePath)
myReader.Delimiters = New String() {","}
myReader.TextFieldType = FileIO.FieldType.Delimited
myReader.HasFieldsEnclosedInQuotes = True
myReader.TrimWhiteSpace = True
Dim currentRow As String()
Dim headerRow As Integer = 0
While Not myReader.EndOfData
Try
currentRow = myReader.ReadFields()
'Read Header
If (headerRow = 0) Then
'Do work for Header Row
headerRow += 1
Else
'Do work for Data Row
End If
Catch ex As Exception
Dim errorline As String = myReader.ErrorLine
End Try
End While
End Sub
This is my Data in csv file:
"Column1","Column2","Column3" "Value1","Value2",""A" Block in Building 123"
Your example ""A" Block"
is malformed CSV; thus, TextFieldParser has every right to reject it. The CSV standard says:
7. If double-quotes are used to enclose fields, then a double-quote
appearing inside a field must be escaped by preceding it with
another double quote. For example:
"aaa","b""bb","ccc"
If you encode your data correctly, i.e., ...
"Column1","Column2","Column3"
"Value1","Value2","""A"" Block in Building 123"
... TextFieldParser works fine and correctly returns "A" Block in Building 123
.
So, the first step would be to tell the guy producing the CSV file to create a valid CSV file instead of something-that-looks-like-CSV-but-isn't.
If you cannot do that, you might want to make two passes through the file: