You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "howie yu (JIRA)" <ji...@apache.org> on 2018/08/28 07:42:00 UTC
[jira] [Commented] (SPARK-20977) NPE in CollectionAccumulator
[ https://issues.apache.org/jira/browse/SPARK-20977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16594659#comment-16594659 ]
howie yu commented on SPARK-20977:
----------------------------------
I use pyspark 2.3.1 also have this problem , but in different line
[2018-08-28 15:29:06,146][ERROR] Utils : Uncaught exception in thread heartbeat-receiver-event-loop-thread
java.lang.NullPointerException
at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:477)
at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:449)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$8$$anonfun$9.apply(TaskSchedulerImpl.scala:449)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$8$$anonfun$9.apply(TaskSchedulerImpl.scala:449)
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$$anonfun$8.apply(TaskSchedulerImpl.scala:449)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$8.apply(TaskSchedulerImpl.scala:448)
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:448)
at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:129)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1360)
at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:128)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
> NPE in CollectionAccumulator
> ----------------------------
>
> Key: SPARK-20977
> URL: https://issues.apache.org/jira/browse/SPARK-20977
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: sharkd tu
> Priority: Major
>
> {code:java}
> 17/06/03 13:39:31 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.NullPointerException
> at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:464)
> at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.scala:439)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$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)
> {code}
> Is that the bug of spark? Has anybody ever hit the problem?
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org