Forum Discussion
Lakehouse. cant upload files
I already tried this but ModuleNotFoundError: No module named 'pyspark.dbutils' I dont thin this is available in Fabric. Its in databricks so i can't do that?
tried again this morning and it still doesnt work.. This is a bit ridiculous, Is this a known bug?
As an addition. I thought I would try and load a small csv into silver to check this works. Hours after trying again with gold and can see this
Files are currently being uploaded to Fabric from multiple Lakehouses. This will affect the upload time of files to dev_timesheet_silver_lh until other files have finished.
So...this isnt good. Its a tony csv file
- v-hashadapu1 year ago
Community Support
Hi DebbieE , Thank you for reaching out to the Microsoft Community Forum.
Use this to check if the file actually uploaded:
from pyspark.sql.functions import input_file_name
df = spark.read.csv("Files/") df.select(input_file_name()).show(truncate=False)
If your file appears here, the upload succeeded and the UI just isn’t updating. If not, it likely stalled in the upload queue. To work around the issue, try uploading through OneLake Data Hub, which is often more reliable. You can also drop the file in OneDrive or SharePoint and create a shortcut in the Lakehouse, this syncs automatically and avoids the upload bottleneck.
If you have access, check the Fabric Admin Portal for capacity usage, throttling is more likely when capacity is maxed out. Otherwise, wait a bit and retry the upload when fewer background jobs are running.
If the above didn’t work for you, then the best next step is to report this issue to Microsoft Support, as it may be a bug or a backend issue. You can provide them with all the troubleshooting steps you've already taken, which will help them understand the issue better and provide a resolution. They might be able to provide a solution that isn't immediately obvious.
Below is the link to help create Microsoft Support ticket:
How to create a Fabric and Power BI Support ticket - Power BI | Microsoft LearnIf this helped solve the issue, please consider marking it “Accept as Solution” so others with similar queries may find it more easily. If not, please share the details, always happy to help.
Thank you.