You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:25 UTC
[jira] [Updated] (SPARK-21564) TaskDescription decoding failure
should fail the task
[ https://issues.apache.org/jira/browse/SPARK-21564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-21564:
---------------------------------
Labels: bulk-closed (was: )
> TaskDescription decoding failure should fail the task
> -----------------------------------------------------
>
> Key: SPARK-21564
> URL: https://issues.apache.org/jira/browse/SPARK-21564
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Andrew Ash
> Priority: Major
> Labels: bulk-closed
>
> cc [~robert3005]
> I was seeing an issue where Spark was throwing this exception:
> {noformat}
> 16:16:28.294 [dispatcher-event-loop-14] ERROR org.apache.spark.rpc.netty.Inbox - Ignoring error
> java.io.EOFException: null
> at java.io.DataInputStream.readFully(DataInputStream.java:197)
> at java.io.DataInputStream.readUTF(DataInputStream.java:609)
> at java.io.DataInputStream.readUTF(DataInputStream.java:564)
> at org.apache.spark.scheduler.TaskDescription$$anonfun$decode$1.apply(TaskDescription.scala:127)
> at org.apache.spark.scheduler.TaskDescription$$anonfun$decode$1.apply(TaskDescription.scala:126)
> at scala.collection.immutable.Range.foreach(Range.scala:160)
> at org.apache.spark.scheduler.TaskDescription$.decode(TaskDescription.scala:126)
> at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$receive$1.applyOrElse(CoarseGrainedExecutorBackend.scala:95)
> at org.apache.spark.rpc.netty.Inbox$$anonfun$process$1.apply$mcV$sp(Inbox.scala:117)
> at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:205)
> at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:101)
> at org.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:213)
> 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:748)
> {noformat}
> For details on the cause of that exception, see SPARK-21563
> We've since changed the application and have a proposed fix in Spark at the ticket above, but it was troubling that decoding the TaskDescription wasn't failing the tasks. So the Spark job ended up hanging and making no progress, permanently stuck, because the driver thinks the task is running but the thread has died in the executor.
> We should make a change around https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala#L96 so that when that decode throws an exception, the task is marked as failed.
> cc [~kayousterhout] [~irashid]
--
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