I am using the new data.table:::fread function (fastest read function I've used in R so far) and I got the following (self explanatory) exception:

R) fread(path)
Erreur dans fread(path) : Coercing integer64 to real needs to be implemented

My file (which is a csv separated by tabs) indeed holds big integers like 902160000671352000. My question is then, can I tell fread to #NOT# read the second columns (where those monsters int are)

r csv data.table
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