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Hi everybody, I'm very new to QlikView and to the forum. I tried to look around for a solution to my issue, but couldn't find any, so I'm looking forward for someone to help me.
I need to load data from 2-3 different excel files, each with the same columns.
Each files contains statistic data for a single year of sells (2013, 2014, etc.), so what I need is to also add a custom costant column for each file I'm adding that contains the year.
What I managed so far is to add the custom costant column for a single file, but I really can't reach the result to add multiple files.
Can anybody help me solve the issue?
Plese look below for the load script I'm using at the moment. Note that it adds just one file and that it's working.
Thanks in advance,
LOAD [Area Commerciale], [Zona Commerciale], [Zona Venditore], [Punto Vendita], Articolo, Bottiglie, Confezioni, ProduttoreFROME:\datasource2014.xlsx(ooxml, embedded labels);LOAD*,'2014' as [Anno Vendita]Resident statistics;
Go to Solution.
The propor function is FileBaseName() and not BaseFileName() as written in the code part of the reply.
It works just as neede.
Thank you very much.
If you have files in a folder and the name of files start with Datasource* and want to load all in same qvd the use below
LOAD [Area Commerciale], [Zona Commerciale], [Zona Venditore], [Punto Vendita], Articolo, Bottiglie, Confezioni, ProduttoreFROME:\datasource*.xlsx(ooxml, embedded labels);
Try with this code,
let path = '..\..\qlik\MyFile_*.xlsx'; for each File in filelist (path) Let Anno = left(right(File,9),4); // Carico i dati MyTable: LOAD *, $(Anno) as Year FROM $(File) (ooxml, embedded labels, table is Foglio1); ENDIF next File
Assuming the file name is always of the format "E:\datasource*.xlsx", then this will do it:
Num(Right(BaseFileName(), 4)) As Year
(ooxml, embedded labels);
This will load all files matching the file mask. The year expression extracts the year from the base name of the file being loaded (FileBaseName()).
I've choosen @jonathan dienst's reply because, as a new user to Qlik View, I understood it better.
Thank you anyway for the effort, I will try your solution in the future.