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Hello Team,
i am trying to upload data from query to power BI but encounter some errors each time. i dont know how to correct or move forward.
Actually there are 200 bulky files in sharepoint that i tried to combine in query to upload in BI for Visuals, but the combining and uploading process is not going as expected.
as the diagram shows, it turns like this for long but doesnt show or open in BI:
i need help please
Thanks
Solved! Go to Solution.
Hi @Lorenza,
Power Query is trying to read one or more files as structured Excel workbooks (.xlsx) while their actual format is different, typically .csv, legacy .xls, corrupted files, or files whose extension doesn't match their real content.
Probably, the root cause is due to :
So to resolve this issue, you can try this guideline step by step:
Step 1: Filter by extension before combining
In Power Query, before the combine step, add a filter on the Extension column:
= Table.SelectRows(Source, each [Extension] = ".xlsx")
This excludes .csv, .xls, and any unrelated file types from the folder.
Step 2: Exclude Office temporary files
SharePoint frequently generates ghost files prefixed with ~$. Add this filter as well:
= Table.SelectRows(Source, each not Text.StartsWith([Name], "~$"))
Step 3: Check the combine function
In the left queries panel, open "Transform Sample File" and confirm the source step uses:
Excel.Workbook([Content], true)
and not Csv.Document or anything else.
Step 4: Identify the problematic file
If the error still occurs, add a custom column to test each file individually and spot which one is breaking:
= try Excel.Workbook([Content], true) otherwise "ERROR"
This lets you pinpoint exactly which file(s) are causing the issue without blocking the entire query.
To sum up, the problem almost certainly comes from one or more files in your SharePoint folder that are not genuine .xlsx, which breaks the combine function. Filtering by extension and excluding temporary files resolves this in the vast majority of cases.
Did my response help you? Clicking Kudos is a small gesture that goes a long way, it encourages contributors and helps the community thrive!
✅ Did I answer your question? Please mark my post as a Solution, it helps others find the answer faster.
Senior Data & BI Consultant · Microsoft Fabric & Power BI Specialist
Step 1: Connect to the SharePoint Folder
In Power BI Desktop:
Get Data → SharePoint Folder (not SharePoint List)
Enter your root SharePoint URL only:
https://aroundtown.sharepoint.com/sites/GBL-M365-TQM
This loads a table listing all files in that site, including their binary content.
Step 2: Filter to Keep Only Your .xlsm Files
Once the table loads in Power Query, apply these filters immediately:
Filter by extension:
= Table.SelectRows(Source, each [Extension] = ".xlsm")
Exclude Office temp files:
= Table.SelectRows(#"Filtered Rows", each not Text.StartsWith([Name], "~$"))
Filter to your specific folder (if needed):
= Table.SelectRows(#"Filtered Rows1", each Text.Contains([Folder Path], "YOUR_FOLDER_NAME"))
Step 3: Do NOT Use the Default Combine Button
The "Combine Files" button Power Query suggests automatically uses Excel.Workbook() which doesn't work properly with .xlsm files in some configurations. Instead, add a custom column manually.
Step 4: Add a Custom Column to Extract the Sheet
Click Add Column → Custom Column and use:
= try Excel.Workbook([Content], true){[Item="YOUR_SHEET_NAME", Kind="Sheet"]}[Data] otherwise null
Replace YOUR_SHEET_NAME with the exact tab name that is identical across all 200 files.
If the sheet name varies, use index instead:
= try Excel.Workbook([Content], true){0}[Data] otherwise null
This takes the first sheet of each file regardless of its name.
Step 5: Expand the Tables
Once the custom column is created, click the expand icon (double arrows) at the top of that column → select the columns you need → uncheck "Use original column name as prefix" if you want clean headers.
Step 6: Promote Headers (if needed)
If the first row of each file contains the column headers, add:
= Table.TransformColumns(#"Expanded Column", {"YOUR_CUSTOM_COL", each Table.PromoteHeaders(_)})
Or use the "Use First Row as Headers" button after expanding.
Step 7: Remove Null Rows
After expanding, filter out rows where the custom column returned null (files that failed to parse):
= Table.SelectRows(#"Expanded Column", each [YOUR_CUSTOM_COL] <> null)
Step 8: Close & Apply
Once the preview looks correct → Close & Apply → your combined dataset is ready for visuals.
Remember that since your files are .xlsm (macro-enabled), make sure the sheet you're targeting contains data as a proper table or range, not just VBA output that only renders when macros run. Power Query reads the static data only, macros do not execute during import.
Did my response help you? Clicking Kudos is a small gesture that goes a long way, it encourages contributors and helps the community thrive!
✅ Did I answer your question? Please mark my post as a Solution, it helps others find the answer faster.
Senior Data & BI Consultant · Microsoft Fabric & Power BI Specialist
Hi @Lorenza,
Power Query is trying to read one or more files as structured Excel workbooks (.xlsx) while their actual format is different, typically .csv, legacy .xls, corrupted files, or files whose extension doesn't match their real content.
Probably, the root cause is due to :
So to resolve this issue, you can try this guideline step by step:
Step 1: Filter by extension before combining
In Power Query, before the combine step, add a filter on the Extension column:
= Table.SelectRows(Source, each [Extension] = ".xlsx")
This excludes .csv, .xls, and any unrelated file types from the folder.
Step 2: Exclude Office temporary files
SharePoint frequently generates ghost files prefixed with ~$. Add this filter as well:
= Table.SelectRows(Source, each not Text.StartsWith([Name], "~$"))
Step 3: Check the combine function
In the left queries panel, open "Transform Sample File" and confirm the source step uses:
Excel.Workbook([Content], true)
and not Csv.Document or anything else.
Step 4: Identify the problematic file
If the error still occurs, add a custom column to test each file individually and spot which one is breaking:
= try Excel.Workbook([Content], true) otherwise "ERROR"
This lets you pinpoint exactly which file(s) are causing the issue without blocking the entire query.
To sum up, the problem almost certainly comes from one or more files in your SharePoint folder that are not genuine .xlsx, which breaks the combine function. Filtering by extension and excluding temporary files resolves this in the vast majority of cases.
Did my response help you? Clicking Kudos is a small gesture that goes a long way, it encourages contributors and helps the community thrive!
✅ Did I answer your question? Please mark my post as a Solution, it helps others find the answer faster.
Senior Data & BI Consultant · Microsoft Fabric & Power BI Specialist
Hi @oussamahaimoud ,
i tried solving with the solution you gave me but it isnt loading.
please can you help me with various steps for Uploading the files.
- the files are "xlsm" each stored in different sharepoint list but in the same folder. so after exactracting the foldername, i must extract each file from its sharepoint list then combine them in query to make a visual in BI. please help me with the various steps to combine these easily. here are some screenshot to show my pathway:
after this step i usually combine the data immediately. how can i move forward please.
Thanks
Step 1: Connect to the SharePoint Folder
In Power BI Desktop:
Get Data → SharePoint Folder (not SharePoint List)
Enter your root SharePoint URL only:
https://aroundtown.sharepoint.com/sites/GBL-M365-TQM
This loads a table listing all files in that site, including their binary content.
Step 2: Filter to Keep Only Your .xlsm Files
Once the table loads in Power Query, apply these filters immediately:
Filter by extension:
= Table.SelectRows(Source, each [Extension] = ".xlsm")
Exclude Office temp files:
= Table.SelectRows(#"Filtered Rows", each not Text.StartsWith([Name], "~$"))
Filter to your specific folder (if needed):
= Table.SelectRows(#"Filtered Rows1", each Text.Contains([Folder Path], "YOUR_FOLDER_NAME"))
Step 3: Do NOT Use the Default Combine Button
The "Combine Files" button Power Query suggests automatically uses Excel.Workbook() which doesn't work properly with .xlsm files in some configurations. Instead, add a custom column manually.
Step 4: Add a Custom Column to Extract the Sheet
Click Add Column → Custom Column and use:
= try Excel.Workbook([Content], true){[Item="YOUR_SHEET_NAME", Kind="Sheet"]}[Data] otherwise null
Replace YOUR_SHEET_NAME with the exact tab name that is identical across all 200 files.
If the sheet name varies, use index instead:
= try Excel.Workbook([Content], true){0}[Data] otherwise null
This takes the first sheet of each file regardless of its name.
Step 5: Expand the Tables
Once the custom column is created, click the expand icon (double arrows) at the top of that column → select the columns you need → uncheck "Use original column name as prefix" if you want clean headers.
Step 6: Promote Headers (if needed)
If the first row of each file contains the column headers, add:
= Table.TransformColumns(#"Expanded Column", {"YOUR_CUSTOM_COL", each Table.PromoteHeaders(_)})
Or use the "Use First Row as Headers" button after expanding.
Step 7: Remove Null Rows
After expanding, filter out rows where the custom column returned null (files that failed to parse):
= Table.SelectRows(#"Expanded Column", each [YOUR_CUSTOM_COL] <> null)
Step 8: Close & Apply
Once the preview looks correct → Close & Apply → your combined dataset is ready for visuals.
Remember that since your files are .xlsm (macro-enabled), make sure the sheet you're targeting contains data as a proper table or range, not just VBA output that only renders when macros run. Power Query reads the static data only, macros do not execute during import.
Did my response help you? Clicking Kudos is a small gesture that goes a long way, it encourages contributors and helps the community thrive!
✅ Did I answer your question? Please mark my post as a Solution, it helps others find the answer faster.
Senior Data & BI Consultant · Microsoft Fabric & Power BI Specialist
Thanks so much.
i'm grateful!
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