The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi,
in the report I'm useing DirectQuery dataset and manual created table with name "Country", it contain columns "Country Code" and "Country Name". In the table from DirectQuery with name "Units" is column with country codes.
local table
Country Code | Country Name |
UA | Ukraine |
BE | Belgium |
CH | Switzerland |
CZ | Czech Republic |
table in DirectQuery with name Units
Country Code |
UA |
BE |
CH |
CZ |
I have created relationship between this two tables using columns Countru Code. And If I want to copy Country Names from local table to table Units by
Country Name = Related(Country[Country name])
it retusn error "The column Country[Country name] cannot be pushed to the remote data source and cannot be used in this scenario."
I tried function lookupvalue too, but with same result.
Any idea how to combine data from direct query and local tables?
correction of original info:
function
RELATED generate error : "The column 'Country[Country Name]' either doesn't exist or doesn't have a relationship to any table available in the current context.
LOOKUPVALUE generate error: "The column 'Users'[Country Name] cannot be pushed to the remote data source and cannot be used in this scenario."
and you created a relationship between them? what type of relationship is it?
Proud to be a Super User!
Relationshis is *:1 Units[Country Code] (DirectQuery) : Country[Country Code] (local table) single direction
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
110 | |
80 | |
71 | |
51 | |
50 |
User | Count |
---|---|
128 | |
122 | |
77 | |
64 | |
60 |