โ02-22-2022 11:18 PM
i facing the problem here in creating cluster in databricks.
Error as below :
Message
Cluster terminated.Reason:Unexpected launch failure
An unexpected error was encountered while setting up the cluster. Please retry and contact Databricks if the problem persists.
Internal error message: java.lang.RuntimeException: Internal error (no failure to report)
at com.databricks.backend.manager.AddResourcesStateHelper$.<init>(AddResourcesState.scala:204)
at com.databricks.backend.manager.AddResourcesStateHelper$.<clinit>(AddResourcesState.scala)
at com.databricks.backend.manager.ClusterManager.shouldStopAddingNodes(ClusterManager.scala:3475)
at com.databricks.backend.manager.ClusterManager.runAddResourceSteps(ClusterManager.scala:3625)
at com.databricks.backend.manager.ClusterManager.addResourcesToCluster(ClusterManager.scala:3529)
at com.databricks.backend.manager.ClusterManager.doAddContainersToCluster(ClusterManager.scala:1903)
at com.databricks.backend.manager.ClusterManager.$anonfun$doUpsizeCluster$1(ClusterManager.scala:1361)
at com.databricks.backend.manager.ClusterManager.$anonfun$resizeClusterWrapper$2(ClusterManager.scala:1285)
at com.databricks.backend.manager.ClusterManager.withAuditLog(ClusterManager.scala:2212)
at com.databricks.backend.manager.ClusterManager.$anonfun$resizeClusterWrapper$1(ClusterManager.scala:1282)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.logging.UsageLogging.$anonfun$recordOperation$1(UsageLogging.scala:341)
at com.databricks.logging.UsageLogging.executeThunkAndCaptureResultTags$1(UsageLogging.scala:435)
at com.databricks.logging.UsageLogging.$anonfun$recordOperationWithResultTags$4(UsageLogging.scala:455)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:215)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:95)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:213)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:210)
at com.databricks.backend.manager.ClusterManager.withAttributionContext(ClusterManager.scala:126)
at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:251)
at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:243)
at com.databricks.backend.manager.ClusterManager.withAttributionTags(ClusterManager.scala:126)
at com.databricks.logging.UsageLogging.recordOperationWithResultTags(UsageLogging.scala:430)
at com.databricks.logging.UsageLogging.recordOperationWithResultTags$(UsageLogging.scala:350)
at com.databricks.backend.manager.ClusterManager.recordOperationWithResultTags(ClusterManager.scala:126)
at com.databricks.logging.UsageLogging.recordOperation(UsageLogging.scala:341)
at com.databricks.logging.UsageLogging.recordOperation$(UsageLogging.scala:313)
at com.databricks.backend.manager.ClusterManager.recordOperation(ClusterManager.scala:126)
at com.databricks.backend.manager.ClusterManager.resizeClusterWrapper(ClusterManager.scala:1282)
at com.databricks.backend.manager.ClusterManager.doUpsizeCluster(ClusterManager.scala:1329)
at com.databricks.backend.manager.ClusterManager.doSetupOrUpsize(ClusterManager.scala:2378)
at com.databricks.backend.manager.UpsizeThrottlingMonitor.$anonfun$processRequest$3(UpsizeThrottlingMonitor.scala:339)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.Try$.apply(Try.scala:213)
at com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdate(ConsolidatedClusterUpdateHelper.scala:52)
at com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdateForAsync(ConsolidatedClusterUpdateHelper.scala:86)
at com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdateForAsync$(ConsolidatedClusterUpdateHelper.scala:84)
at com.databricks.backend.manager.UpsizeThrottlingMonitor.withConsolidatedClusterUpdateForAsync(UpsizeThrottlingMonitor.scala:105)
at com.databricks.backend.manager.UpsizeThrottlingMonitor.$anonfun$processRequest$2(UpsizeThrottlingMonitor.scala:339)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:215)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:95)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:213)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:210)
at com.databricks.backend.manager.UpsizeThrottlingMonitor.withAttributionContext(UpsizeThrottlingMonitor.scala:105)
at com.databricks.backend.manager.UpsizeThrottlingMonitor.$anonfun$processRequest$1(UpsizeThrottlingMonitor.scala:338)
at com.databricks.backend.common.util.ParallelRunHelper.$anonfun$runTask$1(ParallelRunHelper.scala:52)
at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
at com.databricks.backend.common.util.GenericParallelRunHelper.$anonfun$runInParallel$3(ParallelRunHelper.scala:283)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:215)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:95)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:213)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:210)
at com.databricks.backend.common.util.GenericParallelRunHelper.withAttributionContext(ParallelRunHelper.scala:176)
at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:251)
at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:243)
at com.databricks.backend.common.util.GenericParallelRunHelper.withAttributionTags(ParallelRunHelper.scala:176)
at com.databricks.backend.common.util.GenericParallelRunHelper.$anonfun$runInParallel$2(ParallelRunHelper.scala:283)
at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
at scala.util.Success.$anonfun$map$1(Try.scala:255)
at scala.util.Success.map(Try.scala:213)
at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
at com.databricks.threading.NamedExecutor$$anon$2.$anonfun$run$1(NamedExecutor.scala:359)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:215)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:95)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:213)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:210)
at com.databricks.threading.NamedExecutor.withAttributionContext(NamedExecutor.scala:287)
at com.databricks.threading.NamedExecutor$$anon$2.run(NamedExecutor.scala:358)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
โ03-30-2022 11:40 AM
Hi @Giin Sing Wongโ It could have issues with AWS account quotas. Please check if you have the required CPU cores available in quota and share the cluster id and workspace URL if it continues to happen.
โ02-22-2022 11:46 PM
@Giin Sing Wongโ , could it be that your CPU quota has been reached?
โ02-24-2022 03:03 PM
Hi @Giin Sing Wongโ , What's your cluster mode?
โ03-30-2022 11:40 AM
Hi @Giin Sing Wongโ It could have issues with AWS account quotas. Please check if you have the required CPU cores available in quota and share the cluster id and workspace URL if it continues to happen.
โ04-11-2022 01:36 PM
Hi @Giin Sing Wongโ ,
Just a friendly follow-up. Is this issue still happening or you were able to resolve it by increasing your account's quota? Please let us know.
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