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Posted to issues@spark.apache.org by "Steve Loughran (JIRA)" <ji...@apache.org> on 2015/05/07 22:44:00 UTC
[jira] [Updated] (SPARK-5034) Spark on Yarn launch failure on
HDInsight on Windows
[ https://issues.apache.org/jira/browse/SPARK-5034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Steve Loughran updated SPARK-5034:
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Summary: Spark on Yarn launch failure on HDInsight on Windows (was: Spark on Yarn within HDInsight on Windows)
> 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..spark@GBV06758291.my.secret.address.net:63680.user.CoarseGrainedScheduler
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