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JosieGuo
Helper I
Helper I

Incremental refresh seems not take effect

I have made an incremental refresh report.  There are many tables loaded in this report. some tables has a large amount of data and I set it as incremental.

I set it to retain 10 year's data, but actually the data is only from 2022/1/1 now.  I set it as 10 years to avoid the data be archived. 

When I refresh all tables locally in the PBI file, it only took several minutes. But when I publish it to the PBI Service and did an incremental refresh after a full refresh. It will take several hours. and sometimes it will be failed due to The operation was throttled by Power BI because of insufficient memory. 

is there anyone who has the same experience and how to resolve it. Or is there any direction I can check?

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @JosieGuo ,

 

 

Thanks for @Tutu_in_YYC  and @lbendlin reply, that's really helpful.

 

@JosieGuo As a supplement, a refresh beyond 2 hours will cause a refresh failure in a non-premium capacity. I recommend you buy premium capacity to increase refresh time limit to 5 hours.

 

If your report is already in premium capacity, you might consider using XMLA endpoint to create more advanced partition and refresh scenarios to improve refresh performance. With Premium capacities, refresh operations performed through the XMLA endpoint have no time limit. 

 

Please refer to the following documents:

Advanced incremental refresh and real-time data with the XMLA endpoint in Power BI - Power BI | Micr...

Semantic model connectivity and management with the XMLA endpoint in Power BI - Power BI | Microsoft...

 

 

Best regards,

Mengmeng Li

View solution in original post

7 REPLIES 7
Anonymous
Not applicable

Hi @JosieGuo ,

 

 

Thanks for @Tutu_in_YYC  and @lbendlin reply, that's really helpful.

 

@JosieGuo As a supplement, a refresh beyond 2 hours will cause a refresh failure in a non-premium capacity. I recommend you buy premium capacity to increase refresh time limit to 5 hours.

 

If your report is already in premium capacity, you might consider using XMLA endpoint to create more advanced partition and refresh scenarios to improve refresh performance. With Premium capacities, refresh operations performed through the XMLA endpoint have no time limit. 

 

Please refer to the following documents:

Advanced incremental refresh and real-time data with the XMLA endpoint in Power BI - Power BI | Micr...

Semantic model connectivity and management with the XMLA endpoint in Power BI - Power BI | Microsoft...

 

 

Best regards,

Mengmeng Li

lbendlin
Super User
Super User

Buckle up, this will be a wild ride.  First things first:

 

- what is your data source and does it support query folding?

- I assume that you are aware that each time you publish from the Desktop to the workspace the incremental refresh partitions are gone, and will only be recreated on the next refresh

- how many rows in each partition?

- have you used SSMS or DAX Studio to validate that the partitions have been created properly and filled properly?

1. the data source is azure synapse analytics SQL

2. I think it support query folding, and I check there is no warning message about non-foldling when I set the incremental refresh settings and it can show native sql query in transform page.

3. yes, When I publish the reports again, the historical data I already refreshed before will be cleared. Is there any way to don't clear the historical data?

4. I have about  10 tables in my reports, and the max one is 500,000 rows for one day.

5. Yes, I have checked in SSMS 

JosieGuo_0-1727159978586.png

 

Tutu_in_YYC
Super User
Super User

Two things we can look into to start:
1. Using SSMS, connect to the semantic model and check if the incremental partitions are indeed being created

2. "Insufficient memory" usually means you probably do not have the right license (ie capacity) to perform the operations. Are you on Fabric/Premium capacity or just Pro/Free license?

JosieGuo_1-1727160109598.png

 

the license is Premium Per User. 

Can you provide a screenshot of the incremental refresh settings?

3. Use ALM Toolkit to selectively sync the changed meta data without partition reset.

 

Why do you need incremental refresh for that data source?

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