We need a new column to store the Row ID in. The Script Component will add a RowId column.Įdit the Script Component. ![]() And add a Script Component (transformation) behind it. It should look like this:Īdd a second dataflow with the same Flat File Source Component that reads your text file (also reuse the Flat File Connection Manager). Add a Row Count Component that uses the variable of step 1 to store the number of records. Select only 1 column ( preferably the smallest) because we are only counting the rows. In the first data flow there is only a Flat File Source Component that reads your text file. This solution will first count the number of records in the file and then adds a numberfield with an increasing number and uses that number to filter out the last record.Īdd an integer variable named Counter to store the number of records. Var lineCount = elaborate the second solution. There is a more efficient way of counting lines, but it's Using (var reader = (reader.ReadLine() != null) Even in C# you have to loop through the file to count the records This means you have to loop through the file twice. Make the trailer record(s) distinguishable so you can still use a Conditional Split to skip it.ĭownside of both solutions is that you have to count the total number of records/lines in the textfile to know when to start skipping records.Write your own source with a Script Component (or a custom component) which skips the last record. ![]() The Data Flow below is for the file example above:įor files where you can't distinguish the trailer record from the others there are roughly two kind of solutions: If you can distinguish the trailer record, you should use an expression in a Conditional Split to filter it out. ![]() It all depends on whether you can distinguish the trailer record from the other records. The header is easy to skip in the Flat File Connection Manager, but there isn't an option for skipping the trailer record. Some flat files have one or more trailer / footer records at the bottom of the file.
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