Forum Discussion
Notebook Spark Custom JDBC error converting timestamp
It could be the JDBC driver is different in Fabric than databricks. Check the versions. You can load a different one in Fabric if needed, but it would have to be on a custon spark environment.
You could also mapp to a string and convert later.
Super UserIt could be the JDBC driver is different in Fabric than databricks. Check the versions. You can load a different one in Fabric if needed, but it would have to be on a custon spark environment.
You could also mapp to a string and convert later.
Hi Thomas,
It's a Custom JDBC driver that has been downloaded. So it's the same version, just a different Platform. My hypothesis would be that there are some package differences between Fabric and Databricks causing this.
I just kept this workload on Databricks for now, mapping to a string and converting later is also a solution that works, but it requires too much work in the metadata-driven for each loop to do it for all tables.
Thanks anyways!
