Databricks Cluster create fail

wgsing — Wed, 23 Feb 2022 07:18:06 GMT

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)

Re: Databricks Cluster create fail

-werners- — Wed, 23 Feb 2022 07:46:44 GMT

@Giin Sing Wong , could it be that your CPU quota has been reached?

Re: Databricks Cluster create fail

Anonymous — Wed, 30 Mar 2022 18:40:28 GMT

Hi @Giin Sing Wong 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.

Re: Databricks Cluster create fail

jose_gonzalez — Mon, 11 Apr 2022 20:36:49 GMT

Hi @Giin Sing Wong ,

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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