[
https://issues.apache.org/jira/browse/SPARK-5034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-5034.
------------------------------
Resolution: Cannot Reproduce
I don't know what to make of this without more info. I don't think it is a
parsing or quoting issue as it just looks like the main class name is incorrect
and overwritten in part by some host name.
> Spark on Yarn launch failure on HDInsight on Windows
> ----------------------------------------------------
>
> Key: SPARK-5034
> URL: https://issues.apache.org/jira/browse/SPARK-5034
> Project: Spark
> Issue Type: Bug
> Components: Windows, YARN
> Affects Versions: 1.1.0, 1.1.1, 1.2.0
> Environment: Spark on Yarn within HDInsight on Windows Azure
> Reporter: Rice
>
> Windows Environment
> I'm trying to run JavaSparkPi example on YARN with master = yarn-client but I
> have a problem.
> It runs smoothly with submitting application, first container for Application
> Master works too.
> When job is starting and there are some tasks to do I'm getting this warning
> on console (I'm using windows cmd if this makes any difference):
> WARN cluster.YarnClientClusterScheduler: Initial job has not accepted any
> resources; check your cluster UI to ensure that workers are registered and
> have sufficient memory
> When I'm checking logs for container with Application Masters it is launching
> containers for executors "properly", then goes with:
> INFO YarnAllocationHandler: Completed container
> container_1409217202587_0003_01_000002 (state: COMPLETE, exit status: 1)
> INFO YarnAllocationHandler: Container marked as failed:
> container_1409217202587_0003_01_000002
> And tries to re-launch them.
> On failed container log there is only this:
> Error: Could not find or load main class
> pwd..sp...@gbv06758291.my.secret.address.net:63680.user.CoarseGrainedScheduler
>
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
