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https://issues.apache.org/jira/browse/SPARK-28967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-28967.
-------------------------------
Fix Version/s: 3.0.0
Assignee: Jungtaek Lim
Resolution: Fixed
Resolved by https://github.com/apache/spark/pull/25672
> ConcurrentModificationException is thrown from EventLoggingListener
> -------------------------------------------------------------------
>
> Key: SPARK-28967
> URL: https://issues.apache.org/jira/browse/SPARK-28967
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Jungtaek Lim
> Assignee: Jungtaek Lim
> Priority: Minor
> Fix For: 3.0.0
>
>
> While testing SPARK-28869 manually, I've found simple Structured Streaming
> query is continuously throwing ConcurrentModificationException from
> EventLoggingListener.
> Stack trace follows:
> {code:java}
> 19/09/04 09:48:49 ERROR AsyncEventQueue: Listener EventLoggingListener threw
> an exception19/09/04 09:48:49 ERROR AsyncEventQueue: Listener
> EventLoggingListener threw an
> exceptionjava.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$(IterableLike.scala:73) at
> scala.collection.AbstractIterable.foreach(Iterable.scala:56) at
> scala.collection.TraversableLike.map(TraversableLike.scala:237) at
> scala.collection.TraversableLike.map$(TraversableLike.scala:230) at
> scala.collection.AbstractTraversable.map(Traversable.scala:108) at
> org.apache.spark.util.JsonProtocol$.mapToJson(JsonProtocol.scala:514) at
> org.apache.spark.util.JsonProtocol$.$anonfun$propertiesToJson$1(JsonProtocol.scala:520)
> at scala.Option.map(Option.scala:163) at
> org.apache.spark.util.JsonProtocol$.propertiesToJson(JsonProtocol.scala:519)
> at org.apache.spark.util.JsonProtocol$.jobStartToJson(JsonProtocol.scala:155)
> at
> org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:79)
> at
> org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:149)
> at
> org.apache.spark.scheduler.EventLoggingListener.onJobStart(EventLoggingListener.scala:217)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:37)
> at
> org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> at
> org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
> at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:99) at
> org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:84) at
> org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:102)
> at
> org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:102)
> at scala.runtime.java8.JFunction0$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$$dispatch(AsyncEventQueue.scala:97)
> at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:93)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319) at
> org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:93)
> {code}
>
> It also occurs with current master branch.
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