Forum Discussion
Power BI Direct Query Measure Issue with 1M rows...
Currently I have a measure in Power BI supported by a direct query model.
The formula for the measure is a simple count of records on a table filtered by another measure.
Expression:
Filtered Measure = CALCULATE(COUNTROWS('MyTable'); FILTER('MyTable';[Measure X]>1))
In PowerBI Report I am adding this measure to a Card so that I can visualize the number of records in the table.
[Measure X] works by its own without having any exception... but the Filtered Measure throws:
The resultset of a query to external data source has exceeded the maximum allowed size of '1000000' rows.
Looking at the generated query I can say that the output is one row with the value for the row count and yes, it is greater than 1M :)
I am wondering why the exception happens and how I can prevent it since the actual returned data is not 1M rows...
7 Replies
HI Anonymous,
I think you can follow officiate document to work through the issue, but it will affect the performance.
Limitations of DirectQuery
There are currently a few limitations to using DirectQuery:
-
All tables must come from a single database
-
If the Query Editor query is overly complex, an error will occur. To remedy the error you must either delete the problematic step in Query Editor, or Import the data instead of using DirectQuery. For multi-dimensional sources like SAP Business Warehouse, there is no Query Editor
-
Relationship filtering is limited to a single direction, rather than both directions (though it is possible to enable cross filtering in both directions for DirectQuery as a Preview feature). For multi-dimensional sources like SAP Business Warehouse, there are no relationships defined in the model
-
Time intelligence capabilities are not available in DirectQuery. For example, special treatment of date columns (year, quarter, month, day, so on) are not supported in DirectQuery mode.
-
By default, limitations are placed on DAX expressions allowed in measures; see the following paragraph for more information
-
There is a 1 million row limit for returning data when using DirectQuery. This does not affect aggregations or calculations used to create the dataset returned using DirectQuery, only the rows returned. For example, you can aggregate 10 million rows with your query that runs on the data source, and accurately return the results of that aggregation to Power BI using DirectQuery as long as the data returned to Power BI is less than 1 million rows. If more than 1 million rows would be returned from DirectQuery, Power BI returns an error.
To ensure that queries sent to the underlying data source have acceptable performance, limitations are imposed on measures by default. Advanced users can choose to bypass this limitation by selecting File > Options and then Settings > Options and settings > DirectQuery, then selecting the option *Allow unrestricted measures in DirectQuery mode**. When that option is selected, any DAX expression that is valid for a measure can be used. Users must be aware, however, that some expressions that perform very well when the data is imported may result in very slow queries to the backend source when in DirectQuery mode.
Use DirectQuery in Power BI Desktop
Regards,
Xiaoxin Sheng
Hello Anonymous,
I already have unrestricted measures with direct query ON...
Referring to the bullet:
There is a 1 million row limit for returning data when using DirectQuery. This does not affect aggregations or calculations used to create the dataset returned using DirectQuery, only the rows returned. For example, you can aggregate 10 million rows with your query that runs on the data source, and accurately return the results of that aggregation to Power BI using DirectQuery as long as the data returned to Power BI is less than 1 million rows. If more than 1 million rows would be returned from DirectQuery, Power BI returns an error.
My dataset is not returning more than 1 million rows... it is a simple count measure for a filtered table...
I guess there must be something happening in between that is invalidating this. Would be interesting to debug it.
-