โ09-18-2024 01:39 AM
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."
โ09-18-2024 02:20 PM
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:
4 weeks ago
Did anyone figure out twhat this is? I have the exact same issue:
Configuration dbacademy.deprecation.logging is not available. SQLSTATE: 42K0I
Wednesday
Create a separate cluster with DBR 13.3, to resolve this error.
4 weeks ago
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.
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