Forum Discussion
Spark SQL Query errors - Case Sensitivity issues
- Anonymous2 years ago
Hi 12angrymentiger
Apologies for the issue you have been facing. 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.
A simple workaround to fix this issue is to run the below piece of code before executing the main code.spark.conf.set('spark.sql.caseSensitive', False)Hope this helps. Please let me know if you have any further questions. Glad to help.
Hi 12angrymentiger
Thanks for using Fabric Community. Apologies for the issue you have been facing.
Can you please confirm which Spark Version are you using?
I have confirmed from the internal team that there were no changes done to the case sensitivity. Did you set any spark configurations? If yes can you please give the details about it.
Thanks.
Hi 12angrymentiger ,
I tried to repro the scenario, but did not get any error. I have attached the screenshot.
Please try to check the Spark version which you ar using.
Make sure you use the Spark 1.2 version.
Hope this helps. Please let me know if you have any further queries.
- 12angrymentiger2 years agoAdvocate III
By the way this is still in My Workspace and under the Fabric Trial, but I did change the workspace to use Runtime 1.2 and I'm still getting the error table or view not found.
- Anonymous2 years agoNot applicable
Hi 12angrymentiger
Apologies for the issue you have been facing. 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.
A simple workaround to fix this issue is to run the below piece of code before executing the main code.spark.conf.set('spark.sql.caseSensitive', False)Hope this helps. Please let me know if you have any further questions. Glad to help.
- 12angrymentiger2 years agoAdvocate III
We figured out when you call another notebook and start using spark sql further down in the main notebook the spark sql caseSensitive is True.
We have moved this code to run after the 2nd notebook call to make sure the main notebook spark sql is caseInsensitive
spark.conf.set('spark.sql.caseSensitive', False)