You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/09/13 09:18:00 UTC
[jira] [Assigned] (SPARK-21991) [LAUNCHER] LauncherServer
acceptConnections thread sometime dies if machine has very high load
[ https://issues.apache.org/jira/browse/SPARK-21991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-21991:
------------------------------------
Assignee: Apache Spark
> [LAUNCHER] LauncherServer acceptConnections thread sometime dies if machine has very high load
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-21991
> URL: https://issues.apache.org/jira/browse/SPARK-21991
> Project: Spark
> Issue Type: Bug
> Components: Spark Submit
> Affects Versions: 2.0.2, 2.1.0, 2.1.1, 2.2.0
> Environment: Single node machine running Ubuntu 16.04.2 LTS (4.4.0-79-generic)
> YARN 2.7.2
> Spark 2.0.2
> Reporter: Andrea Zito
> Assignee: Apache Spark
> Priority: Minor
>
> The way the _LauncherServer_ _acceptConnections_ thread schedules client timeouts causes (non-deterministically) the thread to die with the following exception if the machine is under very high load:
> {noformat}
> Exception in thread "LauncherServer-1" java.lang.IllegalStateException: Task already scheduled or cancelled
> at java.util.Timer.sched(Timer.java:401)
> at java.util.Timer.schedule(Timer.java:193)
> at org.apache.spark.launcher.LauncherServer.acceptConnections(LauncherServer.java:249)
> at org.apache.spark.launcher.LauncherServer.access$000(LauncherServer.java:80)
> at org.apache.spark.launcher.LauncherServer$1.run(LauncherServer.java:143)
> {noformat}
> The issue is related to the ordering of actions that the _acceptConnections_ thread uses to handle a client connection:
> # create timeout action
> # create client thread
> # start client thread
> # schedule timeout action
> Under normal conditions the scheduling of the timeout action happen before the client thread has a chance to start, however if the machine is under very high load the client thread can receive CPU time before the timeout action gets scheduled.
> If this condition happen, the client thread cancel the timeout action (which is not yet been scheduled) and goes on, but as soon as the _acceptConnections_ thread gets the CPU back, it will try to schedule the timeout action (which has already been canceled) thus raising the exception.
> Changing the order in which the client thread gets started and the timeout gets scheduled seems to be sufficient to fix this issue.
> As stated above the issue is non-deterministic, I faced the issue multiple times on a single-node machine submitting a high number of short jobs sequentially, but I couldn't easily create a test reproducing the issue.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org