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Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Avoid throttling when loading from SharePoint folder

I have a report loaded entirely from a SharePoint folder. The report uses around 400 files of small size (2MB). When loading the data in the desktop version, sometimes ( 1 out of 2 times) Sharepoint ...
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  • Anonymous's avatar
    Anonymous
    6 years ago

    I have an environment with in excess of 18,000 individual files and multiple Dataflows running at the same time and yes it suffers from throttling but Microsoft support pointed me in the direction of buffering each Binary before you expand it and this significantly improved the performance.   

     

    So I land these CSV files into Dataflows and then pull that into the model.

     

    Source = Csv.Document(Binary.Buffer([Content]),[Delimiter=",", ...............

     

    Does not completely get rid of the issue so I also schedule a number of refreshes.

     

    Hope that helps. 

     

    Regards

     

    Andrew

Anonymous's avatar
Anonymous
Not applicable
6 years ago

Thanks a lot Anonymous 

I believe my issue is related to the first post.

There is no solution to it as of today so I'll follow up in that thread in case somebody was able to solve it.

Kind regards,

Jon

Anonymous's avatar
Anonymous
Not applicable
6 years ago

I have an environment with in excess of 18,000 individual files and multiple Dataflows running at the same time and yes it suffers from throttling but Microsoft support pointed me in the direction of buffering each Binary before you expand it and this significantly improved the performance.   

 

So I land these CSV files into Dataflows and then pull that into the model.

 

Source = Csv.Document(Binary.Buffer([Content]),[Delimiter=",", ...............

 

Does not completely get rid of the issue so I also schedule a number of refreshes.

 

Hope that helps. 

 

Regards

 

Andrew

  • Anonymous's avatar
    Anonymous
    Not applicable
    6 years ago

    Thanks a lot Anonymous,
    The load failed from the desktop version once (so I believe the issue can reappear sometimes), but for the first time, I was able to refresh the published version.