how to skip a bad row in ssis flat file source

Question

I am reading in a 17-column CSV file into a database. once in a while the file has a "less then 17-column" row. I am trying to ignore the row, but even when all columns are set to ignore, I can't ignore that row and the package fails.

How to ignore those rows?

Answer 1

Solution Overview

you can do this by adding one Flat File Connection Manager add only one column with Data type DT_WSTR and a length of 4000 (assuming it's name is Column0) - So all column are considered as one big column

• In the Dataflow task add a Script Component after the Flat File Source
• In mark Column0 as Input Column and Add 17 Output Columns
• In the Input0_ProcessInputRow method split Column0 by delimiter, Then check if the length of array is = 17 then assign values to output columns, Else ignore the row.

Detailed Solution

1. Add a Flat file connection manager, Select the text file
2. Go to the Advanced Tab, Delete all Columns except one Column
3. Change the datatype of the remianing Column to DT_WSTR and length = 4000

4. Add a DataFlow Task
5. Inside the Data Flow Task add a Flat File Source, Script Component and OLEDB Destination

6. In the Script Component Select Column0 as Input Column

7. Add 17 Output Columns (the optimal output columns)
8. Change the OutputBuffer SynchronousInput property to None

9. Select the Script Language to Visual Basic

10. In the Script Editor write the following Script

    Public Overrides Sub Input0_ProcessInputRow(ByVal Row As Input0Buffer)
    
        If Not Row.Column0_IsNull AndAlso
                Not String.IsNullOrEmpty(Row.Column0.Trim) Then
    
    
            Dim strColumns As String() = Row.Column0.Split(CChar(";"))
    
            If strColumns.Length <> 17 Then Exit Sub
    
    
            Output0Buffer.AddRow()
            Output0Buffer.Column = strColumns(0)
            Output0Buffer.Column1 = strColumns(1)
            Output0Buffer.Column2 = strColumns(2)
            Output0Buffer.Column3 = strColumns(3)
            Output0Buffer.Column4 = strColumns(4)
            Output0Buffer.Column5 = strColumns(5)
            Output0Buffer.Column6 = strColumns(6)
            Output0Buffer.Column7 = strColumns(7)
            Output0Buffer.Column8 = strColumns(8)
            Output0Buffer.Column9 = strColumns(9)
            Output0Buffer.Column10 = strColumns(10)
            Output0Buffer.Column11 = strColumns(11)
            Output0Buffer.Column12 = strColumns(12)
            Output0Buffer.Column13 = strColumns(13)
            Output0Buffer.Column14 = strColumns(14)
            Output0Buffer.Column15 = strColumns(15)
            Output0Buffer.Column16 = strColumns(16)
    
        End If
    
    End Sub
    

11. Map the Output Columns to the Destination Columns

Answer 2

C# Solution for Loading CSV and skip rows that don't have 17 columns:

Use a Script Component: On input/output screen add all of your outputs with data types.

string fName = @"C:\test.csv" // Full file path: it should reference via variable

string[] lines = System.IO.File.ReadAllLines(fName);

//add a counter
int ctr = 1;

foreach(string line in lines)
{
    string[] cols = line.Split(',');

    if(ctr!=1) //Assumes Header row. elim if 1st row has data
    {
    if(cols.Length == 17)
    {
          //Write out to Output
          Output0Buffer.AddRow();
          Output0Buffer.Col1 = cols[0].ToString(); //You need to cast to data type
          Output0Buffer.Col2 = int.Parse(cols[1]) // example to cast to int
          Output0Buffer.Col3 = DateTime.Parse(cols[2]) // example of datetime
          ... //rest of Columns
    }
    //optional else to handle skipped lines
    //else 
    // write out line somewhere
    }
    ctr++; //increment counter
}