I'm trying to use the standard Python logging framework in the Databricks jobs instead of print. I'm doing this by using 

spark._jvm.org.apache.log4j.LogManager.getLogger(__name__)

however as I'm running this on serverless, I get the following error 

[JVM_ATTRIBUTE_NOT_SUPPORTED] Directly accessing the underlying Spark driver JVM using the attribute '_jvm' is not supported on serverless compute. If you require direct access to these fields, consider using a single-user cluster. For more details on compatibility and limitations, check: https://learn.microsoft.com/azure/databricks/release-notes/serverless.html#limitations
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