What do others do to handle this issue?
Hi
I am new to databricks and trying to connect to Rstudio Server from my all-purpose compute cluster.
Here are the cluster configuration:
Policy: Personal Compute
Access mode: Single user
Databricks run time version:
> library(sparklyr) > sc <- spark_connect(method = "databricks")
Error in value[[3L]](cond) : Failed to start sparklyr backend: java.util.concurrent.ExecutionException: org.apache.spark.SparkException: There is no Credential Scope. at com.google.common.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:299) at com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:286) at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116) at com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135) at com.google.common.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2344) at com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2316) at com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2278) at com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2193) at com.google.common.cache.LocalCache.get(LocalCache.java:3932) at com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3936) at com.google.common.cache.LocIn addition: Warning messages:1: In file.create(to[okay]) : cannot create file '/usr/local/lib/R/site-library/sparklyr/java//sparklyr-2.2-2.11.jar', reason 'Permission denied'2: In file.create(to[okay]) : cannot create file '/usr/local/lib/R/site-library/sparklyr/java//sparklyr-2.1-2.11.jar', reason 'Permission denied'
> library(SparkR) > sparkR.session() Java ref type org.apache.spark.sql.SparkSession id 1 > df <- SparkR::sql("SELECT * FROM default.diamonds LIMIT 2")
Error traceback
Error in handleErrors(returnStatus, conn) : org.apache.spark.sql.AnalysisException: There is no Credential Scope. ; line 1 pos 14 at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:69) at org.apache.spark.sql.execution.datasources.ResolveSQLOnFile$$anonfun$apply$1.applyOrElse(rules.scala:172) at org.apache.spark.sql.execution.datasources.ResolveSQLOnFile$$anonfun$apply$1.applyOrElse(rules.scala:94) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:219) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:106) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:219) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:372) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scal
Can someone help me?
I can hear myself that this sounds a bit obscure, so I will demonstrate with an example:
We have three users: user_1, user_2 and user_3
We have two ad groups: group_a and group_b
We have two tables: tabel_a and table_b
user_1 and user_2 are in group_a with access to table_a. user_3 is in group_b with access to table_b. user_1 creates a new table, table_a1, from table_a. I want user_1 to be able to grant permission to table_a1 to user_2, but to user_3.
Is this possible? How do I set it up, if so?
Regards
Sridhar
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