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Hi,
I am using the jackson csv library to parse a Csv file. My end users use excel to generate the csv and sometimes they remove values form the entire row. This creates a csv line with just a empty commas.
Is it possible to skip such csv rows that have just commas and no values in it?
Note that in my case some csv column values could have new line character included in the data and hence I don't want to write a pre filter to programmatically check and remove the above-mentioned empty lines. The header row almost always has a new line character in some of the column names
Any help is appreciated.
TIA