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HI Everyone,
I am trying to load 5 qvd tables for an app and i have around 6 to 7 columns that are common in every qvd tables and they are mandatory to download.
when finished the load part i am getting the synthetic error msg, because of which my data load not getting completed.
i have visited some of the earlier discussion, so far did not get a clear understanding.
Can you please guide me how i can load all of them successfully.
Regards,
Prasanta
I suggest creating a link key to connect the 5 qvds instead of allowing QlikView to create Synthetic keys
hi
Any guidelines, how to create link key as i am new in qlik sense
Do you have a sample script we can look at and propose modifications to?
I would not create a link field.
If your datas have facts in like revenue, amount or piecec you can concatenate them.
Datas:
load * from yourfile1.qvd;
concateante (Datas) load * from yourfile2.qvd;
concateante (Datas) load * from yourfile3.qvd;
and so on.
All common fields (date, order no, customer no, material no) are in the same field and can be compared with other values.
Those, who have not all fields filled (e.g. a store number which is not valid in a bill) could only be compared with those fields which are filled.
But
if you have common fields in diffenrent tables with same input but different sources you could not concatenate.
Example:
your invoice table have
invoice number
customer number
customer name
material number
material name
and your customer table have also
number and name
and with material it is also
you have multiple information to one dataset.
In that case you have to decide which information (material name) is the right one. From your invoice table (the historical name, based on timestamp, the invoice was created) or from your material master (the actual name)
Also with other common fields.
A screeshot from your table view could help.
Regards
Hi Martin,
thanks for your feedback.
Please find below a structure of my qvd tables.
with that datas, I would suggest my concatenate solution.
So you can compare your datas by fmonth Year, Customername and country
Regards