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https://issues.apache.org/jira/browse/SPARK-20977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
sharkd tu updated SPARK-20977:
------------------------------
Environment: OpenJDK 64-Bit Server VM (25.71-b00) for linux-ppc64 JRE
(1.8.0-internal-centos_2017_04_25_01_11-b00), built on Apr 25 2017 01:24:21 by
"centos" with gcc 6.3.1 20170110 (Advance-Toolchain-at10.0) IBM AT 10 branch
(was: 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)
> 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: OpenJDK 64-Bit Server VM (25.71-b00) for linux-ppc64 JRE
> (1.8.0-internal-centos_2017_04_25_01_11-b00), built on Apr 25 2017 01:24:21
> by "centos" with gcc 6.3.1 20170110 (Advance-Toolchain-at10.0) IBM AT 10
> branch
> 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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