Forum Discussion
Error using data imported through DataFlow when using pyspark
Hi,
v-cboorla-msft is there perhaps an update you can give us on this issue?
Also, if anyone should have a workaround, we would aprecieate it greatly. This is a real showstopper now.
Our ERP data resides in an on premise database that we can only access with ODBC. So the only way to get this data into Fabric (when using only fabric - we want to stay with SaaS) is by using Dataflow gen2. And now the tables created by Dataflow gen2, can't be used in a notebook. So we can't use a notebook / pyspark to tranform our data...
Does anyone know of a workaround, inside Fabric, so that we can combine ODBC on prem data + notebooks? Any help is greatly appreciated.
m_cherriman , did you perhaps find a solution?
Thanks in advance for any update or insight into this issue.
- v-cboorla-msft2 years agoMicrosoft Employee
Hi KA78
Thanks for using Fabric Community and posting your question.
Can you please create a new post as the initial ask is different from your issue? We will definitely look into the issue and help.
Thanks for understanding.
- KA782 years agoAdvocate I
Thanks @v-cboorla-msft for your reply. I'll create a new post for my question regarding the workaround.
Although, the root of the problem is the same as the initial ask. Is there perhaps something you can share about the status of the inital ask : "Error using data imported through DataFlow when using pyspark". Is this a known issue?(related to this error : "SparkRuntimeException: Error while decoding: java.lang.IllegalArgumentException: requirement failed: Mismatched minReaderVersion and readerFeatures. newInstance(class scala.Tuple3)." )