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Angith_Nair
Helper V
Helper V

Incremental Refresh

Hello Guys,

I have a power bi dataset which consists of 60 months of data and Incremental Refresh is enabled with a range of 60 months (detect data change enabled on Modified date). I have a pro license and I publish the dataset, the full refresh takes around 2 hrs and then the scheduled refresh also takes around 1.5 hours to complete. So are there any options by which I can reduce the time of scheduled refresh?

1 ACCEPTED SOLUTION
v-zhangti
Community Support
Community Support

Hi, @Angith_Nair 

 

What is incremental refresh of your data source? You need to see if your data source supports query folding.

Query folding - Power Query | Microsoft Docs

 

If the data source does not support query folding. Which means that it has to load all the data first, and then determine which data to load incrementally. In doing it in this manner it will not be any quicker using incremental refreshing.

 

For reference:

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

Optimize Microsoft Power BI Premium capacities - Power BI | Microsoft Docs

 

Best Regards,

Community Support Team _Charlotte

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

View solution in original post

2 REPLIES 2
v-zhangti
Community Support
Community Support

Hi, @Angith_Nair 

 

What is incremental refresh of your data source? You need to see if your data source supports query folding.

Query folding - Power Query | Microsoft Docs

 

If the data source does not support query folding. Which means that it has to load all the data first, and then determine which data to load incrementally. In doing it in this manner it will not be any quicker using incremental refreshing.

 

For reference:

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

Optimize Microsoft Power BI Premium capacities - Power BI | Microsoft Docs

 

Best Regards,

Community Support Team _Charlotte

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

StefanoGrimaldi
Resident Rockstar
Resident Rockstar

you will have diferent ways to see this,

1) 60 month isnt a little to big window to refresh for a indremental refresh? example does tha data of the month number 60? 59, ..... 24? change like actually have a data change over time ? could be u pulling a lot of data from the refresh with that set up. 

2) use tools as dax editor, tabular, etc to do performance check on all your model, best practice, dax peformarce, relantionship (many to many with both direction relantionship affect greatly performance when used incorrectly, unneeded columns, un used measures. un used tables, etc. 

 





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