Connect with sharepoint table view

[AngaRameshkuma1]

hi team,
i m trying to connect with sharepoint, i am able to see the table but not able to indentify the view nor i am able to see the view in power bi, i dont know weather we can directly connect with the sharepoint table view. I am able to see the "Dafault view" but not the  view thay is created by our team.

Thank you

[v-stephen-msft]

Hi @AngaRameshkuma1 ,

What connector did you use in Power BI Desktop?

For sharepoint, there're three type of built-in connectors in it. Please refer to

Create a report on a SharePoint List in Power BI Desktop - Power BI | Microsoft Learn  Power Query SharePoint Online list connector - Power Query | Microsoft Learn

Power Query SharePoint folder connector - Power Query | Microsoft Learn

Power Query SharePoint list connector - Power Query | Microsoft Learn

Maybe you can try other connectors and see if that works.

Best Regards,

Stephen Tao

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[christinepayton]

Connecting to a specific view is one of the options when setting up the initial connection (it may be under advanced, you may need to select the 2.0 connector version). By default, it won't use a view, but instead display all rows and all columns. 

[AngaRameshkuma1]

Yes, Is is displaying all columns but it is not showing data in some columns (who needs to expand) though data is present in sharepoint

[christinepayton]

Yes, you can click the expand arrow for the column to choose which properties you want. Things like "people" type columns have like 20+ attributes you can get out of them, so they're not all expanded by default. Be mindful that if it's a multivalue column, it will add those extra rows to your table. 

[j_ocean]

If you're seeing columns with data in sharepoint that are not showing in PQ, then it's probably a "lookup" column type in sharepoint. These columns are foreign keys to some other sharepoint table. Sharepoint's GUI covers over this and just shows you the value, but PQ points to only that one table.

You can expand these columns, causing PQ to query the other table. This is (or at least was) achingly slow because it caused a new query call for every line individually. Alterntively you can connect to the second table and merge it in yourself.