I am getting this error: com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: com.databricks.rpc.UnknownRemoteException: Remote exception occurred:

TeachingWithDat — Wed, 02 Nov 2022 16:54:22 GMT

I am teaching a class for BYU Idaho and every table in every database has been imploded for my class. We keep getting this error:

com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: com.databricks.rpc.UnknownRemoteException: Remote exception occurred:

Databricks Premium on AWS

Re: I am getting this error: com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: com.databricks.rpc.UnknownRemoteException: Remote exception occurred:

pc — Wed, 01 Feb 2023 14:01:32 GMT

com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: org.apache.spark.sql.AnalysisException:

The query operator `UpdateCommandEdge` contains one or more unsupported

expression types Aggregate, Window or Generate.

Invalid expressions: [avg(spark_catalog.eds_us_lake_cdp.cdp_job_log.Duration) OVER (PARTITION BY spark_catalog.eds_us_lake_cdp.cdp_job_log.job_id ORDER BY spark_catalog.eds_us_lake_cdp.cdp_job_log.Job_Start_Date_Time ASC NULLS FIRST RANGE BETWEEN INTERVAL '29' DAY PRECEDING AND CURRENT ROW), avg(spark_catalog.eds_us_lake_cdp.cdp_job_log.Duration)];

UpdateCommandEdge Delta[version=433, s3://tpc-aws-ted-dev-edpp-lake-cdp-us-east-1/eds_us_lake_cdp/cdp_job_log/delta], [Job_Run_Id#10299, Job_Id#10300, Batch_Run_Id#10301, Tidal_Job_No#10302, Source_Layer#10303, Source_Object_Location#10304, Source_Object_Name#10305, Target_Layer#10306, Target_Object_Location#10307, Target_Object_Name#10308, Status#10309, Status_Source#10310, Step_Control_Log#10311, Job_Scheduled_Date_Time#10312, Job_Start_Date_Time#10313, Job_End_Date_Time#10314, Error_Description#10315, Source_Record_Count#10316, Target_Record_Count#10317, MD5_HASH#10318, User_Id#10319, Created_Date_Time#10320, Duration#10321, round(avg(Duration#10321) windowspecdefinition(job_id#10300, Job_Start_Date_Time#10313 ASC NULLS FIRST, specifiedwindowframe(RangeFrame, -INTERVAL '29' DAY, currentrow$())), 2)]

+- SubqueryAlias spark_catalog.eds_us_lake_cdp.cdp_job_log

+- Relation eds_us_lake_cdp.cdp_job_log[Job_Run_Id#10299,Job_Id#10300,Batch_Run_Id#10301,Tidal_Job_No#10302,Source_Layer#10303,Source_Object_Location#10304,Source_Object_Name#10305,Target_Layer#10306,Target_Object_Location#10307,Target_Object_Name#10308,Status#10309,Status_Source#10310,Step_Control_Log#10311,Job_Scheduled_Date_Time#10312,Job_Start_Date_Time#10313,Job_End_Date_Time#10314,Error_Description#10315,Source_Record_Count#10316,Target_Record_Count#10317,MD5_HASH#10318,User_Id#10319,Created_Date_Time#10320,Duration#10321,Average_Run#10322] parquet

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis(CheckAnalysis.scala:60)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis$(CheckAnalysis.scala:59)

at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:221)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$2(CheckAnalysis.scala:623)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$2$adapted(CheckAnalysis.scala:105)

at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:358)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1(CheckAnalysis.scala:105)

at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)

at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:80)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:100)

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:100)

at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:221)

at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:275)

at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:331)

at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:272)

at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:128)

at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:80)

at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:268)

at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:265)

at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:968)

at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:265)

at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:129)

at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:126)

at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:118)

at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:103)

at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:968)

at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:101)

at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:803)

at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:968)

at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:798)

at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:695)

at com.databricks.backend.daemon.driver.SQLDriverLocal.$anonfun$executeSql$1(SQLDriverLocal.scala:91)

at scala.collection.immutable.List.map(List.scala:297)

at com.databricks.backend.daemon.driver.SQLDriverLocal.executeSql(SQLDriverLocal.scala:37)

at com.databricks.backend.daemon.driver.SQLDriverLocal.repl(SQLDriverLocal.scala:145)

at com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$13(DriverLocal.scala:634)

at com.databricks.logging.Log4jUsageLoggingShim$.$anonfun$withAttributionContext$1(Log4jUsageLoggingShim.scala:33)

at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)

at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:94)

at com.databricks.logging.Log4jUsageLoggingShim$.withAttributionContext(Log4jUsageLoggingShim.scala:31)

at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:205)

at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:204)

at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:59)

at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:240)

at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:225)

at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:59)

at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:611)

at com.databricks.backend.daemon.driver.DriverWrapper.$anonfun$tryExecutingCommand$1(DriverWrapper.scala:615)

at scala.util.Try$.apply(Try.scala:213)

at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:607)

at com.databricks.backend.daemon.driver.DriverWrapper.executeCommandAndGetError(DriverWrapper.scala:526)

at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:561)

at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:431)

at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:374)

at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:225)

at java.lang.Thread.run(Thread.java:748)

at com.databricks.backend.daemon.driver.SQLDriverLocal.executeSql(SQLDriverLocal.scala:130)