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Hi all, Having an issue I hope someone can help with - I have a report in which I am trying to use a composite model / mixed storage mode (whichever term is best).
I have a core model with member data which is being imported via direct query, and other tables which are being imported into my model. I am linking my main member table in the core model (300k rows) to the main table in my imported model (17k rows). These tables are linked by a key (member ID).
I can create measures which use data from both models - say to aggregate members by a dimension in the smaller imported table (say membership type), however if I try to add another element from the larger table (say to split by gender as well as membership type) then after some time I get the error message saying the query is trying to return more than 1M rows from the DirectQuery source.
Anyone have an idea how I am returning more than 1M rows in this scenario? I assume it might be how my dax statement is being interpreted, however I'm at a loss..!
Please let me know if I am missing any useful info here, thanks!
Hi, @PepeSilvia ;
Try to reduce DAX usage to a minimum and super-optimize your SQL database so that it will answer quickly to the specific queries Power BI will generate.
Solved: Direct Query 400Million Row of Data - Performance ... - Microsoft Power BI Community
Power BI Fast and Furious with Aggregations - RADACAD
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @PepeSilvia ;
This is by design, You can take a look at the premium capacity.it's a limitation with DirectQuery mode, refer to the official document: Use DirectQuery in Power BI Desktop;
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks for getting back to me.
I am aware of the 1M row limit, however what I dont understand is with these table sizes how I am hitting 1M rows being returned from the source at all? Eager to understand if there is some efficiency or optimisation issues at the heart of my issue.
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