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I am working with a .CSV file with one column of user information. Each user has 3 rows of information. I need to load those rows as separate columns.
MailboxOwnerId : ID1 |
Name : JohnDoe@email.com |
ForwardTo : JD@gmail.com |
MailboxOwnerId : ID2 |
Name : JaneSmith@email.com |
ForwardTo : JS@outlook.com |
MailboxOwnerId : | Name : | ForwardTo : |
ID1 | JohnDoe@email.com | JD@gmail.com |
ID2 | JaneSmith@email.com | JS@outlook.com |
Is this possible?
Hi Melvin,
In what format is this data?
You can use the Enable Transformation Step to do this. When you select import Table Data and click next you get this option. You can then decide how to import the data.
Regards,
Marius
As Marius Koekemoer mentions, you can transform the data you load in. You will want to use the Transpose function in the filters of the specifications like:
Test:
LOAD @1 as Field1,
@2 as Field2,
@3 as Field3
FROM
Test1.csv
(txt, codepage is 1252, no labels, delimiter is ',', msq, filters(
Transpose()
));
If not, maybe you can use the Generic Load which is described here: http://community.qlik.com/blogs/qlikviewdesignblog/2014/03/31/generic
Hope this helps!