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顯示的結果
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你的意思是:

磚集群創建失敗

wgs
新的因素

我在創建集群數據磚所麵臨的問題。

錯誤如下:

消息

集群終止。原因:意外發射失敗

時是遇到意外錯誤設置集群。如果問題仍然存在,請重試和聯係磚。

內部錯誤信息:. lang。RuntimeException:內部錯誤(沒有失敗的報告)

在com.databricks.backend.manager.AddResourcesStateHelper美元。< init > (AddResourcesState.scala: 204)

在com.databricks.backend.manager.AddResourcesStateHelper美元。< clinit > (AddResourcesState.scala)

com.databricks.backend.manager.ClusterManager.shouldStopAddingNodes (ClusterManager.scala: 3475)

com.databricks.backend.manager.ClusterManager.runAddResourceSteps (ClusterManager.scala: 3625)

com.databricks.backend.manager.ClusterManager.addResourcesToCluster (ClusterManager.scala: 3529)

com.databricks.backend.manager.ClusterManager.doAddContainersToCluster (ClusterManager.scala: 1903)

在com.databricks.backend.manager.ClusterManager。anonfun doUpsizeCluster美元1美元(ClusterManager.scala: 1361)

在com.databricks.backend.manager.ClusterManager。anonfun resizeClusterWrapper美元2美元(ClusterManager.scala: 1285)

com.databricks.backend.manager.ClusterManager.withAuditLog (ClusterManager.scala: 2212)

在com.databricks.backend.manager.ClusterManager。anonfun resizeClusterWrapper美元1美元(ClusterManager.scala: 1282)

在scala.runtime.java8.JFunction0專門sp.apply美元(美元JFunction0 mcV $ sp.java: 23)

在com.databricks.logging.UsageLogging。anonfun recordOperation美元1美元(UsageLogging.scala: 341)

com.databricks.logging.UsageLogging.executeThunkAndCaptureResultTags 1美元(UsageLogging.scala: 435)

在com.databricks.logging.UsageLogging。美元anonfun recordOperationWithResultTags 4美元(UsageLogging.scala: 455)

在com.databricks.logging.UsageLogging。anonfun withAttributionContext美元1美元(UsageLogging.scala: 215)

scala.util.DynamicVariable.withValue (DynamicVariable.scala: 62)

com.databricks.logging.AttributionContext .withValue美元(AttributionContext.scala: 95)

com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 213)

在com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 210美元)

com.databricks.backend.manager.ClusterManager.withAttributionContext (ClusterManager.scala: 126)

com.databricks.logging.UsageLogging.withAttributionTags (UsageLogging.scala: 251)

在com.databricks.logging.UsageLogging.withAttributionTags (UsageLogging.scala: 243美元)

com.databricks.backend.manager.ClusterManager.withAttributionTags (ClusterManager.scala: 126)

com.databricks.logging.UsageLogging.recordOperationWithResultTags (UsageLogging.scala: 430)

在com.databricks.logging.UsageLogging.recordOperationWithResultTags (UsageLogging.scala: 350美元)

com.databricks.backend.manager.ClusterManager.recordOperationWithResultTags (ClusterManager.scala: 126)

com.databricks.logging.UsageLogging.recordOperation (UsageLogging.scala: 341)

在com.databricks.logging.UsageLogging.recordOperation (UsageLogging.scala: 313美元)

com.databricks.backend.manager.ClusterManager.recordOperation (ClusterManager.scala: 126)

com.databricks.backend.manager.ClusterManager.resizeClusterWrapper (ClusterManager.scala: 1282)

com.databricks.backend.manager.ClusterManager.doUpsizeCluster (ClusterManager.scala: 1329)

com.databricks.backend.manager.ClusterManager.doSetupOrUpsize (ClusterManager.scala: 2378)

在com.databricks.backend.manager.UpsizeThrottlingMonitor。anonfun processRequest美元3美元(UpsizeThrottlingMonitor.scala: 339)

在scala.runtime.java8.JFunction0專門sp.apply美元(美元JFunction0 mcV $ sp.java: 23)

在美元scala.util.Try蘋果(Try.scala: 213)

com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdate (ConsolidatedClusterUpdateHelper.scala: 52)

com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdateForAsync (ConsolidatedClusterUpdateHelper.scala: 86)

在com.databricks.backend.manager.util.ConsolidatedClusterUpdateHelper.withConsolidatedClusterUpdateForAsync (ConsolidatedClusterUpdateHelper.scala: 84美元)

com.databricks.backend.manager.UpsizeThrottlingMonitor.withConsolidatedClusterUpdateForAsync (UpsizeThrottlingMonitor.scala: 105)

在com.databricks.backend.manager.UpsizeThrottlingMonitor。anonfun processRequest美元2美元(UpsizeThrottlingMonitor.scala: 339)

在scala.runtime.java8.JFunction0專門sp.apply美元(美元JFunction0 mcV $ sp.java: 23)

在com.databricks.logging.UsageLogging。anonfun withAttributionContext美元1美元(UsageLogging.scala: 215)

scala.util.DynamicVariable.withValue (DynamicVariable.scala: 62)

com.databricks.logging.AttributionContext .withValue美元(AttributionContext.scala: 95)

com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 213)

在com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 210美元)

com.databricks.backend.manager.UpsizeThrottlingMonitor.withAttributionContext (UpsizeThrottlingMonitor.scala: 105)

在com.databricks.backend.manager.UpsizeThrottlingMonitor。anonfun processRequest美元1美元(UpsizeThrottlingMonitor.scala: 338)

在com.databricks.backend.common.util.ParallelRunHelper。anonfun runTask美元1美元(ParallelRunHelper.scala: 52)

在scala.runtime.java8.JFunction1 mcVI sp.apply美元(JFunction1 mcVI sp.java美元:23)

在com.databricks.backend.common.util.GenericParallelRunHelper。anonfun runInParallel美元3美元(ParallelRunHelper.scala: 283)

在com.databricks.logging.UsageLogging。anonfun withAttributionContext美元1美元(UsageLogging.scala: 215)

scala.util.DynamicVariable.withValue (DynamicVariable.scala: 62)

com.databricks.logging.AttributionContext .withValue美元(AttributionContext.scala: 95)

com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 213)

在com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 210美元)

com.databricks.backend.common.util.GenericParallelRunHelper.withAttributionContext (ParallelRunHelper.scala: 176)

com.databricks.logging.UsageLogging.withAttributionTags (UsageLogging.scala: 251)

在com.databricks.logging.UsageLogging.withAttributionTags (UsageLogging.scala: 243美元)

com.databricks.backend.common.util.GenericParallelRunHelper.withAttributionTags (ParallelRunHelper.scala: 176)

在com.databricks.backend.common.util.GenericParallelRunHelper。anonfun runInParallel美元2美元(ParallelRunHelper.scala: 283)

在scala.concurrent.Future。美元anonfun應用1美元(Future.scala: 659)

scala.util.Success。anonfun地圖1美元美元(Try.scala: 255)

scala.util.Success.map (Try.scala: 213)

scala.concurrent.Future。anonfun地圖1美元美元(Future.scala: 292)

在scala.concurrent.impl.Promise.liftedTree1 1美元(Promise.scala: 33)

scala.concurrent.impl.Promise。anonfun轉換美元1美元(Promise.scala: 33)

scala.concurrent.impl.CallbackRunnable.run (Promise.scala: 64)

在com.databricks.threading.NamedExecutor不久2美元。美元anonfun運行1美元(NamedExecutor.scala: 359)

在scala.runtime.java8.JFunction0專門sp.apply美元(美元JFunction0 mcV $ sp.java: 23)

在com.databricks.logging.UsageLogging。anonfun withAttributionContext美元1美元(UsageLogging.scala: 215)

scala.util.DynamicVariable.withValue (DynamicVariable.scala: 62)

com.databricks.logging.AttributionContext .withValue美元(AttributionContext.scala: 95)

com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 213)

在com.databricks.logging.UsageLogging.withAttributionContext (UsageLogging.scala: 210美元)

com.databricks.threading.NamedExecutor.withAttributionContext (NamedExecutor.scala: 287)

在com.databricks.threading.NamedExecutor不久美元2.美元運行(NamedExecutor.scala: 358)

在java.base / java.util.concurrent.ThreadPoolExecutor.runWorker (ThreadPoolExecutor.java: 1128)

在java.base / java.util.concurrent.ThreadPoolExecutor Worker.run美元(ThreadPoolExecutor.java: 628)

在java.base / java.lang.Thread.run (Thread.java: 834)

5回複5

jose_gonzalez
主持人
主持人

嗨@Giin唱黃,

隻是一個友好的後續。這個問題仍然發生或者你能夠解決它通過增加你的賬戶的限額嗎?請讓我們知道。

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