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https://issues.apache.org/jira/browse/SPARK-34000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-34000.
-----------------------------------
Fix Version/s: 3.0.2
3.1.0
Resolution: Fixed
Issue resolved by pull request 31025
[https://github.com/apache/spark/pull/31025]
> ExecutorAllocationListener threw an exception java.util.NoSuchElementException
> ------------------------------------------------------------------------------
>
> Key: SPARK-34000
> URL: https://issues.apache.org/jira/browse/SPARK-34000
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.1, 3.1.0, 3.2.0
> Reporter: Lantao Jin
> Assignee: Lantao Jin
> Priority: Major
> Fix For: 3.1.0, 3.0.2
>
>
> 21/01/04 03:00:32,259 WARN [task-result-getter-2] scheduler.TaskSetManager:69
> : Lost task 306.1 in stage 600.0 (TID 283610,
> hdc49-mcc10-01-0510-4108-039-tess0097.stratus.rno.ebay.com, executor 27):
> TaskKilled (another attempt succeeded)
> 21/01/04 03:00:32,259 INFO [task-result-getter-2] scheduler.TaskSetManager:57
> : Task 306.1 in stage 600.0 (TID 283610) failed, but the task will not be
> re-executed (either because the task failed with a shuffle data fetch
> failure, so the
> previous stage needs to be re-run, or because a different copy of the task
> has already succeeded).
> 21/01/04 03:00:32,259 INFO [task-result-getter-2]
> cluster.YarnClusterScheduler:57 : Removed TaskSet 600.0, whose tasks have all
> completed, from pool default
> 21/01/04 03:00:32,259 INFO [HiveServer2-Handler-Pool: Thread-5853]
> thriftserver.SparkExecuteStatementOperation:190 : Returning result set with
> 50 rows from offsets [5378600, 5378650) with
> 1fe245f8-a7f9-4ec0-bcb5-8cf324cbbb47
> 21/01/04 03:00:32,260 ERROR [spark-listener-group-executorManagement]
> scheduler.AsyncEventQueue:94 : Listener ExecutorAllocationListener threw an
> exception
> java.util.NoSuchElementException: key not found: Stage 600 (Attempt 0)
> at scala.collection.MapLike.default(MapLike.scala:235)
> at scala.collection.MapLike.default$(MapLike.scala:234)
> at scala.collection.AbstractMap.default(Map.scala:63)
> at scala.collection.mutable.HashMap.apply(HashMap.scala:69)
> at
> org.apache.spark.ExecutorAllocationManager$ExecutorAllocationListener.onTaskEnd(ExecutorAllocationManager.scala:621)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:38)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:38)
> at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:115)
> at org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:99)
> at
> org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:116)
> at
> org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:116)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
> at
> org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:102)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:97)
> at
> org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1320)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:97)
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