[
https://issues.apache.org/jira/browse/SPARK-4759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237550#comment-14237550
]
Andrew Or commented on SPARK-4759:
----------------------------------
Ok yeah you're right, I can't reproduce it from the code snippet in branch 1.1
either. There seems to be at least two issues going on here... Can you confirm
that the snippet does reproduce the lock in master branch?
> Deadlock in complex spark job in local mode
> -------------------------------------------
>
> 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, 1.2.0, 1.3.0
> 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
> Assignee: Andrew Or
> Priority: Critical
> 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: [email protected]
For additional commands, e-mail: [email protected]
