Databricks Community

thomann · ‎12-13-2022

If I start a RStudio Server with in cluster init script as described here in a Unity Catalog Cluster the sparklyr connection fails with an error about a missing Credential Scope.=LI tried it both in 11.3LTS and 12.0 Beta. I tried it only in a Personal Single Node Cluster. I did not try it out with a remote RStudio (via databricks connect).

This looks like a major incompatibility?

Something similar happens when I open 2 identical notebooks each with the following cell:

library(sparklyr)
library(tidyverse)
sc <- spark_connect(method="databricks")
 
sdf <- sc %>% sdf_sql("SELECT * FROM samples.nyctaxi.trips")
sdf

If you run it in the first notebook you get the desired outcome.

If you then run it on the same cluster (without restarting the cluster) you get the following error:

Error : org.apache.spark.SparkException: Missing Credential Scope. 
	at com.databricks.unity.UCSDriver$Manager.$anonfun$scope$1(UCSDriver.scala:103)
	at scala.Option.getOrElse(Option.scala:189)
	at com.databricks.unity.UCSDriver$Manager.scope(UCSDriver.scala:103)
	at com.databricks.unity.UCSDriver$Manager.currentScope(UCSDriver.scala:97)
	at com.databricks.unity.UnityCredentialScope$.currentScope(UnityCredentialScope.scala:100)
	at com.databricks.unity.UnityCredentialScope$.getSAMRegistry(UnityCredentialScope.scala:120)
	at com.databricks.unity.SAMRegistry$.getSAMOpt(SAMRegistry.scala:346)
	at com.databricks.unity.CredentialScopeSQLHelper$.registerPathIfMissing(CredentialScopeSQLHelper.scala:204)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.apply(DeltaLog.scala:853)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.apply(DeltaLog.scala:774)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.apply(DeltaLog.scala:754)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.forTable(DeltaLog.scala:701)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.$anonfun$forTableWithSnapshot$1(DeltaLog.scala:780)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.withFreshSnapshot(DeltaLog.scala:806)
	at com.databricks.sql.transaction.tahoe.DeltaLog$.forTableWithSnapshot(DeltaLog.scala:780)
	at com.databricks.sql.managedcatalog.SampleTable.readSchema(SampleTables.scala:109)
	at com.databricks.sql.managedcatalog.ManagedCatalogSessionCatalog.$anonfun$getSampleTableMetadata$1(ManagedCatalogSessionCatalog.scala:955)
	at scala.Option.map(Option.scala:230)
	at com.databricks.sql.managedcatalog.ManagedCatalogSessionCatalog.getSampleTableMetadata(M[...]

This happens:

Both in 11.3LTS and 12.0 Beta
Also if you only read from dbfs: spark_read_delta(sc, 'dbfs:/databricks-datasets/learning-spark-v2/people/people-10m.delta')
Also if you have a multiple task job and run it on a job cluster.

It does not happen in SparkR.

There is already a StackOverflow Question about this: https://stackoverflow.com/questions/74575249/sparklyr-multiple-databricks-notebooks-second-connectio...

thomann · ‎12-14-2022

Hi @Kaniz Fatma! Maybe you can point us into the right direction?

thomann · ‎02-28-2023

Thanks @Kaniz Fatma for your answer!

Actually, we have the problem on Azure Databricks. We did not test it on AWS yet. Does that make a difference?

Also - as written in the Question - the problem happens (actually more pressing) directly in the Databricks Notebooks themselves, if a second Databricks Notebook using R is connecting to the same Cluster. This happens both in interactivice clusters as well as when several steps in a Workflow use R Notebooks with Unity Catalog.

Could you give us some pointer (in the documentation, source code ?), what AWS/Azure Credentials you mean and how we should set them up?

Best, Philipp