Forum Discussion
Lakehouse high CU usage, unknown source
- 1 year ago
Support finally got back to me with this reply. They admitted to it being a backend Microsoft issue, but no word on how and if they would be fixing it or if I would be reinbursed the lost CU's. The abbreviated 'DMS' is for Data Movement Services:
The increased CU usage was attributed to a disabled file system (FS) on the DMS side, which resulted in a significant number of “GetBlobProperties” API calls from DMS to the One Lake Client (OLC). This led to the observed spike in CU usage. After the FS was re-enabled on July 29th, CU usage decreased accordingly.
The spike occurred on 07/18 and subsided on 07/29, aligning with the period when the FS was disabled and subsequently re-enabled on the DMS side, which reduced the number of calls from DMS to OLC.
I had a call with support today, they are investigating and I will update their findings. The support tech said they had never seen spikes like this before so hopefully they can correlate to a change that they made to the backend.
Hi schneiw,
We are following up once regarding your query. Could you please confirm if the issue has been addressed through the support ticket with Microsoft?
zzthatcher, spaceman127, lbendlin, Thanks for your prompt response
If the issue has been resolved, we kindly request you to share the resolution or key insights here to help others in the community.
Thanks,
Prashanth
Microsoft Fabric Community Forum
- schneiw1 year agoAdvocate IV
No support has still not resolved it.
We keep hitting 100% usage now to the point I cant really get any work done. Its a bad situation to say the least, we have hard deadlines for our project, we are paying for a service we cannot use, I am NOT happy right now.
Last night I deleted 2 Lakehouses that contained the most data to try and get some available CU's, but even that seemed not to help as an hour later I was still getting 100% CU usage emails. I paused the Capacity for 3 hours and enabled again last night and am now looking to see what the effect is.
- schneiw1 year agoAdvocate IV
To see how REDICULOUS this is have a look at my metrics chart. When I looked at it I thought they had lost my data, then I noticed the Y axis values: