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

2021-02-20 Thread Sean R. Owen (Jira) 


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

Sean R. Owen reassigned SPARK-20977:


Assignee: Gera Shegalov

> 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
>Assignee: Gera Shegalov
>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?



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

2021-02-09 Thread Apache Spark (Jira) 


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

Apache Spark reassigned SPARK-20977:


Assignee: (was: Apache Spark)

> 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?



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

2021-02-09 Thread Apache Spark (Jira) 


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

Apache Spark reassigned SPARK-20977:


Assignee: Apache Spark

> 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
>Assignee: Apache Spark
>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?



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