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dataflow incremental refresh slower then full refresh

I have a dataflow with 3 tables. 2 of them have the incremental refresh applied.  

- the dataflow takes about 1:57min to complete with incremental mode

- when incremental refresh is turn off it takes about 48min

That's a problem cos I expected incremental would be faster.


Let's take one of these incrementaly refreshed table to examin closely.

- it is configured to refreshed last 45 days, although 48 partitions are created

- the refresh starts at 13:08

- 32 out of 48 partitions are refreshed in parallel starting at 13:08

- rest of te partitions waiting in queue. The last two ones begin refresh at 14:09


here is a screenshot from dataflow refresh logs. (not all the columns and partition visible)




1) why not all of the partitions are refreshed in parallel? 

2) what can I do to be able to refresh all in parallel? I guess this is a problem why the incremental refresh takes so long. The partition which is refreshed at 14:09 need 37min to complete. 

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@v-kongfanf-msft any updates? Thanks in advance

Community Support
Community Support

Hi @Braxx99 ,


Detailed documentation on incremental refresh and real-time data troubleshooting is officially available. Refer to below document:

Troubleshoot incremental refresh and real-time data in Power BI - Power BI | Microsoft Learn


Best Regards,
Adamk Kong


If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Thanks for the link.

Unfortunatelly, I could not find answer to my questions there. 

What I am particulary interested in is what are the possible reasons some of the partitions are queued?


The source of the table mentioned earier is SQL Server on-premises. It has about 12mln rows and cover daily data from 2019-01-02

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