You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2014/12/05 15:16:12 UTC
[jira] [Commented] (SPARK-4759) Deadlock in complex spark job.
[ https://issues.apache.org/jira/browse/SPARK-4759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14235509#comment-14235509 ]
Sean Owen commented on SPARK-4759:
----------------------------------
Can you dump the thread state with "kill -QUIT" and attach the stack traces of the deadlocked threads? Or at least that would help determine whether it's really a deadlock.
> Deadlock in complex spark job.
> ------------------------------
>
> Key: SPARK-4759
> URL: https://issues.apache.org/jira/browse/SPARK-4759
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.1
> Environment: Java version "1.7.0_51"
> Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
> Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03, mixed mode)
> Mac OSX 10.10.1
> Using local spark context
> Reporter: Davis Shepherd
> Attachments: SparkBugReplicator.scala
>
>
> The attached test class runs two identical jobs that perform some iterative computation on an RDD[(Int, Int)]. This computation involves
> *taking new data merging it with the previous result
> *caching and checkpointing the new result
> *rinse and repeat
> The first time the job is run, it runs successfully, and the spark context is shut down. The second time the job is run with a new spark context in the same process, the job hangs indefinitely, only having scheduled a subset of the necessary tasks for the final stage.
> Ive been able to produce a test case that reproduces the issue, and I've added some comments where some knockout experimentation has left some breadcrumbs as to where the issue might be.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org