Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi,
We have a SSAS that retrieves data from a MySQL using a scheduled job, which invokes the Refresh command with the "full" refresh type (see https://docs.microsoft.com/en-us/analysis-services/tmsl/refresh-command-tmsl?view=asallproducts-allv...
This job started failing due to "out of memory" and "timeout reading communication packets from mySQL" errors.
So I changed the refresh type to "automatic" and worked fine, since adding more memory is currently not possible. The job runs fine, and after manually updating the dataset in powerbi.com, new dates appear in the reports' filters, as if new data is available, but it is not shown:
If I change the filter to display data from march, it works (all new data is from april and may).
I tried executing the refresh command using types "calculated" and "add", but the model has calculation partitions and didn't worked. I don't know exactly what "clearValues" does, so I didn´t try it.
Also on-premises data gateway is updated to the latest version.
Any suggestions?
thanks.
Hi @SBPFA
What happens if you have to change the partitions to be monthly instead of the past N years.
What I mean is change the partitions from the last 2 years to the last 24 Months, this will run a query to process each partition monthly which can return the data quicker.
Hi Gilbert, I was doing some research to see how to achieve that, and found a post from you in Frour Moo: https://www.fourmoo.com/2020/12/02/how-i-changed-the-partition-configuration-year-month-quarter-days...
Unfortunately I don't have Power BI premium. Is there another way?
Thank you and sorry for the delayed answer.
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 16 | |
| 11 | |
| 10 | |
| 8 | |
| 7 |
| User | Count |
|---|---|
| 41 | |
| 36 | |
| 36 | |
| 28 | |
| 20 |