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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.

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