Forum Discussion
Notebook error reading delta table
I created a parquet file/delta tables using DataFlow Gen2. Now, I am trying to read it from a Notebook, but, I am receiving this error> Mismatched minReaderVersion and readerFeatures. Someone knows the cause of the issue?
- Anonymous2 years ago
Hi jcvega
Thanks for using Fabric Community and reporting this.
This is a Dataflow Gen2 bug . Apologies from our side for this issue. The internal team has confirmed that this bug will be fixed by the end of this week. The fixed version shall reach all the regions by the end of this week.
Appreciate your patience.
11 Replies
- AnonymousNot applicable
Hi jcvega
Thanks for using Fabric Community and reporting this.
This is a Dataflow Gen2 bug . Apologies from our side for this issue. The internal team has confirmed that this bug will be fixed by the end of this week. The fixed version shall reach all the regions by the end of this week.
Appreciate your patience.- andrearicciNew Member
I'm still having this issue. Any solutions yet?
- KA78Advocate I
Hi Anonymous ,
Do you know if fix for this issue has been rolled out last week? This issues still persists.
- AnonymousNot applicable
Hi KA78
I have contacted the internal team regarding the update. I will let u know if I hear back from them.
Thanks
- Majid_Frequent Visitor
I've got the same issue guys. When it will be fixed ?
- sccaAdvocate III
I'm having the same issue. Difference is the table wasn't created via Dataflow Gen2 but instead written into Lakehouse via the same notebook. The issue seems to creep randomly. Most of the time it doesn't come up but from time to time it comes back.
- cristinaojerFrequent Visitor
Same issue for me. In my case, the source table was created via Copy Activity in a pipeline. I deleted and re-created the table and the notebook worked for the first times, but then started to fail again... so frustrating.
- haleHelper II
Have you found a fix? I have the exact issue with Data Copy, always good at the first few attempts then always failed after that. This really make it very hard to adopt Fabric 😞