databricks academy setup error -data engineering

[osas]

am trying to run the set up notebook  "_COMMON" for my academy data engineering,

am getting the below error: "Configuration dbacademy.deprecation.logging is not available."

[FlorianC]

Same issue here and the AI Assistant cannot help...

JVM stacktrace:
org.apache.spark.sql.AnalysisException
	at com.databricks.sql.connect.SparkConnectConfig$.assertConfigAllowedForRead(SparkConnectConfig.scala:203)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler$RuntimeConfigWrapper.get(SparkConnectConfigHandler.scala:106)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.transform(SparkConnectConfigHandler.scala:241)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleGetWithDefault$1(SparkConnectConfigHandler.scala:282)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleGetWithDefault$1$adapted(SparkConnectConfigHandler.scala:280)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleGetWithDefault(SparkConnectConfigHandler.scala:280)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:199)
	at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:122)
	at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:805)
	at grpc_shaded.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
	at com.databricks.spark.connect.service.AuthenticationInterceptor$AuthenticatedServerCallListener.$anonfun$onHalfClose$1(AuthenticationInterceptor.scala:312)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:45)
	at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:103)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$3(RequestContext.scala:265)
	at com.databricks.spark.connect.service.RequestContext$.com$databricks$spark$connect$service$RequestContext$$withLocalProperties(RequestContext.scala:525)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$2(RequestContext.scala:265)
	at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:435)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
	at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:216)
	at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:433)
	at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:427)
	at com.databricks.spark.util.PublicDBLogging.withAttributionContext(DatabricksSparkUsageLogger.scala:27)
	at com.databricks.spark.util.UniverseAttributionContextWrapper.withValue(AttributionContextUtils.scala:225)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$1(RequestContext.scala:264)
	at com.databricks.spark.connect.service.RequestContext.withContext(RequestContext.scala:277)
	at com.databricks.spark.connect.service.RequestContext.runWith(RequestContext.scala:257)
	at com.databricks.spark.connect.service.AuthenticationInterceptor$AuthenticatedServerCallListener.onHalfClose(AuthenticationInterceptor.scala:312)
	at grpc_shaded.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:340)
	at grpc_shaded.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:866)
	at grpc_shaded.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
	at grpc_shaded.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.lang.Thread.run(Thread.java:840)
File <command-2080937168644028>, line 2
      1 import pyspark.sql.functions as F
----> 2 from dbacademy import dbgems
      3 from dbacademy.dbhelper import DBAcademyHelper, Paths, CourseConfig, LessonConfig
      5 # The following attributes are externalized to make them easy
      6 # for content developers to update with every new course.
File /databricks/python/lib/python3.10/site-packages/pyspark/sql/connect/client/core.py:1988, in SparkConnectClient._handle_rpc_error(self, rpc_error)
   1985             info = error_details_pb2.ErrorInfo()
   1986             d.Unpack(info)
-> 1988             raise convert_exception(
   1989                 info,
   1990                 status.message,
   1991                 self._fetch_enriched_error(info),
   1992                 self._display_server_stack_trace(),
   1993             ) from None
   1995     raise SparkConnectGrpcException(status.message) from None
   1996 else:

[robtrevino]

Did anyone figure out twhat this is? I have the exact same issue:

Configuration dbacademy.deprecation.logging is not available. SQLSTATE: 42K0I

[shashi_soni]

Create a separate cluster with DBR 13.3, to resolve this error.

[MuthuLakshmi]

The SQLSTATE code 42K0I corresponds to a configuration not being available. This means that the configuration key you are trying to use does not exist or is not supported in your current setup.

Please note that these files were created specifically for the Databricks Academy Labs environment (through our lab partner, Vocareum) and may not work as expected in other environments.

If you’re interested in working on labs in a provided Databricks environment, you can purchase the Databricks Academy Labs subscription directly from the Databricks Academy website

• Databricks customers and the general public - http://customer-academy.databricks.com/
• Databricks partners - http://partner-academy.databricks.com/