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Matthias93
Helper III
Helper III

Slow refresh of SharePoint list data

Hi everybody,

 

I have a dashboard that is getting data from multiple SharePoint lists. Some of these lists contain around 3000 to 4000 lines. When I want to refresh my dashboard it takes about 3 minutes. A list with about 3000 lines is easily around 10mb (which I find quite large). Some lists contain quite a lot of lookup columns that get information from different lists. I am using the standard 'SharePoint list' connector provided by PowerBI and my lists are coming from a on-prem SharePoint.

 

I find it odd that this refresh should take so long, I am doing some operations on my queries to clean op the data, but no really heavy ones such as expanding and merging. I have the impression the downoading of a 10mb list takes a lot of time even though my internet connection itself is quite fast. 

 

Attached you can see a screenshot of my 'Data Load Settings', these should all be optimal for speedy refreshing. 

 

Could anyone please help me understand why this is happening. I tried cleaning up my queries and removing columns I'm not using, unfortunately without much succes.

 

Kind regards,

Matt

 

Capture.PNG

 

 

 

 

1 ACCEPTED SOLUTION

Yes, pls try that.

Fetch your raw-data in one query and then reference this query. This will create a first step like so:

Source = NameOfTheQueryWithRawData

 

 

Change that step into this:

Source = Table.Buffer(NameOfTheQueryWithRawData)

 

 

 

Unfortunately, there's not much informations available around performance tuning at the moment (here are some additional details: https://blog.crossjoin.co.uk/2016/11/20/referenced-queries-and-caching-in-power-bi-and-power-query/)  

Imke Feldmann (The BIccountant)

If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!

How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries

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