I am trying to load data from a flat file. The file is around 2.5 GB in size and row count is close to billion. I am using a flat file source inside DFT. Few rows inside the file does not follow the column pattern, for example there is a extra delimiter or say text qualifier as value of one column. I want to skip those rows and load rest of the rows which has correct format. I am using SSIS 2014. Flat file source inside DFT is failing. I have set alwaysCheckforrowdelimiter property to false but still does not work. Since the file is too huge manually opening and changing is not possible. Kindly help.
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I have the same idea as Nick.McDermaid but I can maybe help you a bit more. You can clean your file with a regular expression. (In a script)
You just need to define a regex to match lines with the number of delimiter you want. Other lines should be deleted.
Here is a visual example executed in Notepad++
Notepad++ Example screenshot
Here is the pattern used for my example:
And the data sample:
You can try it on line: https://regex101.com/r/PIYIcY/1
Regards, Arnaud