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I have a warehouse view in a warehouse sourced from a delta table in a lakehouse
when trying to query the view using aggregate functions (sum etc.) I receive the error below immediately
other queries seems to work
the lakelouse table contains 50M rows and the view is pivoting the data
I can think of mutiple solutions (partitioning, persisting etc.) but I want to understand the reason for the error
Request to perform an external distributed computation has failed with error "Assertion failed: Invalid Redistribute operation. Could not produce move enforcer
sure, what do you need to know?
the source view are select * from lakehouse.table
some views works fine but a more complex (pivot/cte) (possibly in combination with more data) views does not work either from sql endpoint or semantic model
HI @joakimfenno,
After I research on the error messages, I find the message normally appears when the system is unable to properly distribute data across nodes during a query execution. (these often due to complex operations like pivoting or using aggregate functions on large datasets)
For this scenario, you can try to partition data to improve distribution and performance and simplify the query to reducing the number of complex operations (e.g., pivot, CTEs).
Also, you can consider to using intermediate steps instead of directly apply all operations in one query. (store intermediate results in tables to reduce the complexity of the final query)
Regards,
Xiaoxin Sheng
thanks, it worked after persisting the data
do you know is this is somehow related to the size of your fabric capacity?
HI @joakimfenno,
I find a document that list the model memory size limit between different SKU, perhaps you can take a look at the following link if it helps:
What is Power BI Premium? - Power BI | Microsoft Learn
Regards,
Xiaoxin Sheng
HI @joakimfenno,
Can you please share some more detail information about this issue? They should help us clarify your scenario and test to troubleshoot.
In addition, you can also take a look at the following document about data warehouse limitations:
Limitations - Microsoft Fabric | Microsoft Learn
Regards,
Xiaoxin Sheng
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