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I run a Qlik Sense server (April 2019 release when writing this).
Some background...
On the network there is a RapidMiner server which has a web service that the Qlik app can get data from.
In the QlikSense app I want to run a 'Load data' depending on an selection in the app.
The server is run in 'Legacy Mode' and I use the following connection string and it works.
LOAD *
FROM [http://user:password@server:port/api/rest/process_name?p1=Selection1]
(html, codepage is 28591, embedded labels, table is @1);
I get the data regarding where p1 = Selection1.
I've created a variable in the app with the name 'vSelection' and definition 'GetFieldSelection(Dimension)'.
When I then change the script to the following:
LOAD *
FROM [http://user:password@server:port/api/rest/process_name?p1=$(vSelection)]
(html, codepage is 28591, embedded labels, table is @1);
When I execute the load script I get and error with the connection where the variable isn't solved:
http://user:password@server:port/api/rest/process_name?p1=GetFieldSelection(Dimension)
How do I do this?
GetFieldSelection() is not a valid Script function. Are you calling this from the front end? If so, try '=GetFieldSelection(Dimension)' in the variable definition, this way you get the evaluated results of the function and not the function itself. You may need to adjust some of the GetFieldSelection's parameters to match the URL value delimiter and to capture all the selections. By default it only shows 6.
Yes, I understand GetFieldSelection() is not a script function, but I'm not using it in script. I'm using in a variable then using the variable in script. The variable needs to be updated... but the macro variable in script don't seem to be resolved.
If this doesn't work, is there any other way I can get the selected values of a dimension into the script?
HI Holynumbers,
I would suggest you use on-demand app generation in qliksense, that will meet your requirement.
Actually its little complex concept use below url and understand the concept ,
Hi
That's an interesting idea, but I don't think I can apply an on-demand app in this case.
I want to call a predictive model from RapidMiner so if I create a on demand app then I don't really get the benefit I'd like.