[jira] [Resolved] (SPARK-20977) NPE in CollectionAccumulator

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-20977.
-------------------------------
    Resolution: Invalid

Questions should go to the mailing list. There's no info about how you encountered this. I am not sure how it can happen, because _list can't be null and that seems to be the only thing that can trigger an NPE on this line. If you have more context about a modification or edge case that can possibly make this happen, add that information

> NPE in CollectionAccumulator
> ----------------------------
>
>                 Key: SPARK-20977
>                 URL: https://issues.apache.org/jira/browse/SPARK-20977
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.1.1
>         Environment: JDK:
> openjdk version "1.8.0-internal"
> OpenJDK Runtime Environment (build 1.8.0-internal-horii_2016_12_20_18_43-b00)
> OpenJDK 64-Bit Server VM (build 25.71-b00, mixed mode)
> CPU:
> POWER8
>            Reporter: sharkd tu
>
> 17/06/03 13:39:31 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.NullPointerException
> 	at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:464)
> 	at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:439)
> 	at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6$$anonfun$7.apply(TaskSchedulerImpl.scala:408)
> 	at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6$$anonfun$7.apply(TaskSchedulerImpl.scala:408)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> 	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> 	at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> 	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> 	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> 	at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6.apply(TaskSchedulerImpl.scala:408)
> 	at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6.apply(TaskSchedulerImpl.scala:407)
> 	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> 	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> 	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> 	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> 	at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> 	at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> 	at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:407)
> 	at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:129)
> 	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1283)
> 	at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:128)
> 	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> 	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> 	at java.lang.Thread.run(Thread.java:745)
> Is that the bug of openjdk or spark? Has anybody ever hit the problem?



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