Forum Discussion
Error using data imported through DataFlow when using pyspark
Hi m_cherriman
Thanks for using the Microsoft Fabric Community.
Apologies for the inconvenience that you are facing here.
At this time, we are reaching out to the internal team to get some help on this.
We will update you once we hear back from them.
Appreciate your patience.
Thanks
- jeremycolson12 years agoAdvocate I
Has there been a resolution to this issue? We are doing a POC w/ Fabric... and following Microsoft's own instructions we are getting this error. Doing the most basic of use cases... using a one step ADF pipeline w/ a Copy task to load an example dataset (NYC Taxi) into the lakehouse (no on-premises complications, no data gateways, etc.). Then attempting to access that table in a Notebook... fails w/ this same error.
Error:
SparkRuntimeException:
Error while decoding: java.lang.IllegalArgumentException: requirement failed:
Mismatched minReaderVersion and readerFeatures. newInstance(class scala.Tuple3)Delta log appears fine:
{"protocol":{"minReaderVersion":1,"minWriterVersion":2}}
- Reidy2 years agoRegular Visitor
Hey,
We got around this by downgrading the spark version in the environment used for our Notebooks. 1.1 works fine, 1.2 has the issue.
- v-cboorla-msft2 years agoMicrosoft Employee
Hi m_cherriman
Thanks for using Fabric Community.
Apologies for the issue you have been facing.Please go ahead and raise a support ticket to reach our support team:
https://support.fabric.microsoft.com/support
After creating a Support ticket please provide the ticket number as it would help us to track for more information.Thank you.
- souldish2 years agoFrequent Visitor
We are experiencing same issue with csv data coming from dataflow gen 2