[
https://issues.apache.org/jira/browse/SPARK-32027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-32027.
----------------------------------
Resolution: Duplicate
> EventLoggingListener threw java.util.ConcurrentModificationException
> ---------------------------------------------------------------------
>
> Key: SPARK-32027
> URL: https://issues.apache.org/jira/browse/SPARK-32027
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.1.0
> Reporter: Yuming Wang
> Priority: Major
>
> {noformat}
> 20/06/18 20:22:25 ERROR AsyncEventQueue: Listener EventLoggingListener threw
> an exception
> java.util.ConcurrentModificationException
> at java.util.Hashtable$Enumerator.next(Hashtable.java:1387)
> at
> scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:424)
> at
> scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:420)
> at scala.collection.Iterator.foreach(Iterator.scala:941)
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> at scala.collection.IterableLike.foreach(IterableLike.scala:74)
> at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
> at scala.collection.TraversableLike.map(TraversableLike.scala:238)
> at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
> at scala.collection.AbstractTraversable.map(Traversable.scala:108)
> at org.apache.spark.util.JsonProtocol$.mapToJson(JsonProtocol.scala:568)
> at
> org.apache.spark.util.JsonProtocol$.$anonfun$propertiesToJson$1(JsonProtocol.scala:574)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.util.JsonProtocol$.propertiesToJson(JsonProtocol.scala:573)
> at
> org.apache.spark.util.JsonProtocol$.jobStartToJson(JsonProtocol.scala:159)
> at
> org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:81)
> at
> org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:97)
> at
> org.apache.spark.scheduler.EventLoggingListener.onJobStart(EventLoggingListener.scala:159)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:37)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:115)
> at org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:99)
> at
> org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:105)
> at
> org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:105)
> at
> scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
> at
> org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:100)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:96)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:96)
> 20/06/18 20:22:25 ERROR AsyncEventQueue: Listener EventLoggingListener threw
> an exception
> java.util.ConcurrentModificationException
> at java.util.Hashtable$Enumerator.next(Hashtable.java:1387)
> at
> scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:424)
> at
> scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:420)
> at scala.collection.Iterator.foreach(Iterator.scala:941)
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> at scala.collection.IterableLike.foreach(IterableLike.scala:74)
> at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
> at scala.collection.TraversableLike.map(TraversableLike.scala:238)
> at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
> at scala.collection.AbstractTraversable.map(Traversable.scala:108)
> at org.apache.spark.util.JsonProtocol$.mapToJson(JsonProtocol.scala:568)
> at
> org.apache.spark.util.JsonProtocol$.$anonfun$propertiesToJson$1(JsonProtocol.scala:574)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.util.JsonProtocol$.propertiesToJson(JsonProtocol.scala:573)
> at
> org.apache.spark.util.JsonProtocol$.jobStartToJson(JsonProtocol.scala:159)
> at
> org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:81)
> at
> org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:97)
> at
> org.apache.spark.scheduler.EventLoggingListener.onJobStart(EventLoggingListener.scala:159)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:37)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> 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:105)
> at
> org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:105)
> at
> scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
> at
> org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:100)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:96)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:96)
> {noformat}
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