I have a table in SQL Server with 3 columns, one of which is a data column containing rows of concatenated columns delimited by commas. The first row is also the header row
What you can do is to read the file as is. And Split those values in a script task.
So from source go to a script task. Then in the script task as input column, select the column containing those values (InputColumn1). Then specify the output columns (If I am right I see you have 5, so specify 5 (OutputColumn1 - 5)).
After that is done, go to the script itself (C#).
Under:
public override void Input0_ProcessInputRow(Input0Buffer Row)
{
}
Put the following code in there:
var ColumnValue = Row.InputColumn1.Split(',');
Row.OutputColumn1 = ColumnValue[0];
Row.OutputColumn2 = ColumnValue[1];
Row.OutputColumn3 = ColumnValue[2];
Row.OutputColumn4 = ColumnValue[3];
Row.OutputColumn5 = ColumnValue[4];
After the script task all the columns from the Source as well as the OutputCoulmns1-5 will be available and you can do what you have to.
OUTPUT
Data | ID | Source |OutputColumn1 |OutputColumn2| etc. 3-5
================================================================
a,b,c,d,e | 1 | a.csv | a | b
f,g,h,i,j | 2 | b.csv | f | g
Please ask if something is not clear.