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Hi,
I have to load a 'csv' table whith 40 fields , many rows are equal in all their fields.
To avoid not to load all de rows I allwais use the function Row() as row identification but for a reason I do not nknow is not 100% secure to load all rows.
Does it exist a better way to be 100% sure to load 100% off all the repeated rows?
Thank you,
You always load ALL rows of table/file if you don't use any 'where' clause or filtering.
Hi, in load script add 'distinct' to load only unique rows by any field, like this:
LOAD distinct
*
FROM [lib://AttachedFiles/YOUR.csv] (txt, utf8, embedded labels, delimiter is ',', msq);
Hi,
thanks but is just the opposite result that I'm looking for , I want all the original rows despite they are repeated.
Regards
You always load ALL rows of table/file if you don't use any 'where' clause or filtering.