cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Community Discussions
Connect with fellow community members to discuss general topics related to the Databricks platform, industry trends, and best practices. Share experiences, ask questions, and foster collaboration within the community.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

Can Error Message be un Redacted

floringrigoriu
New Contributor II

I there a way to un-redact the logging of error message ?

Alternatively would be nice to have access to the source code of involved classes like : com.databricks.backend.common.util.CommandLineHelper or com.databricks.util.UntrustedUtils

 

I'm getting the following error message, where I don't have enough information to debug it:

Command [REDACTED] failed with exit code 1 out: err:

java.lang.RuntimeException: CommandLineHelper exception - stack trace
at com.databricks.backend.common.util.CommandLineHelper$.runJavaProcessBuilder(CommandLineHelper.scala:523)
at com.databricks.backend.common.util.CommandLineHelper$.runJavaProcessBuilder(CommandLineHelper.scala:418)
at com.databricks.backend.daemon.driver.DriverCorral.$anonfun$new$6(DriverCorral.scala:389)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.logging.UsageLogging.$anonfun$recordOperation$1(UsageLogging.scala:571)
at com.databricks.logging.UsageLogging.executeThunkAndCaptureResultTags$1(UsageLogging.scala:666)
at com.databricks.logging.UsageLogging.$anonfun$recordOperationWithResultTags$4(UsageLogging.scala:684)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:426)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:196)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:424)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:418)
at com.databricks.threading.NamedTimer$$anon$1.withAttributionContext(NamedTimer.scala:95)
at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:470)
at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:455)
at com.databricks.threading.NamedTimer$$anon$1.withAttributionTags(NamedTimer.scala:95)
at com.databricks.logging.UsageLogging.recordOperationWithResultTags(UsageLogging.scala:661)
at com.databricks.logging.UsageLogging.recordOperationWithResultTags$(UsageLogging.scala:580)
at com.databricks.threading.NamedTimer$$anon$1.recordOperationWithResultTags(NamedTimer.scala:95)
at com.databricks.logging.UsageLogging.recordOperation(UsageLogging.scala:571)
at com.databricks.logging.UsageLogging.recordOperation$(UsageLogging.scala:540)
at com.databricks.threading.NamedTimer$$anon$1.recordOperation(NamedTimer.scala:95)
at com.databricks.threading.NamedTimer$$anon$1.$anonfun$run$2(NamedTimer.scala:104)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:420)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:418)
at com.databricks.threading.NamedTimer$$anon$1.withAttributionContext(NamedTimer.scala:95)
at com.databricks.logging.UsageLogging.disableTracing(UsageLogging.scala:1420)
at com.databricks.logging.UsageLogging.disableTracing$(UsageLogging.scala:1419)
at com.databricks.threading.NamedTimer$$anon$1.disableTracing(NamedTimer.scala:95)
at com.databricks.threading.NamedTimer$$anon$1.$anonfun$run$1(NamedTimer.scala:103)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.util.UntrustedUtils$.tryLog(UntrustedUtils.scala:109)
at com.databricks.threading.NamedTimer$$anon$1.run(NamedTimer.scala:102)
at java.util.TimerThread.mainLoop(Timer.java:555)
at java.util.TimerThread.run(Timer.java:505)

1 REPLY 1

Kaniz_Fatma
Community Manager
Community Manager

Hi @floringrigoriu , you can reach out to Databricks support by filing a support ticket.

Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!