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Posted to issues@spark.apache.org by "Ramgopal N (JIRA)" <ji...@apache.org> on 2016/03/28 08:02:25 UTC
[jira] [Updated] (SPARK-14190) when
spark.dynamicAllocation.enabled=true the application is expecting more
resources and not able to use the resources available with Resourcemanager
[ https://issues.apache.org/jira/browse/SPARK-14190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ramgopal N updated SPARK-14190:
-------------------------------
Summary: when spark.dynamicAllocation.enabled=true the application is expecting more resources and not able to use the resources available with Resourcemanager (was: when spark.shuffle.service.enabled=true the application is expecting more resources and not able to use the resources available with Resourcemanager)
> when spark.dynamicAllocation.enabled=true the application is expecting more resources and not able to use the resources available with Resourcemanager
> ------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14190
> URL: https://issues.apache.org/jira/browse/SPARK-14190
> Project: Spark
> Issue Type: Bug
> Reporter: Ramgopal N
>
> I am using spark-1.5.1-bin-hadoop2.6
> I have configured "spark.shuffle.service.enabled=true" and running the tests. It is giving the below WARN messages and running forever..
> On the RM UI the number of VCores=570 , Memory Total=3TB, Memory Used=14GB
> 16/03/28 00:39:01 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
> 16/03/28 00:39:16 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
> When "spark.dynamicAllocation.enabled" is not enabled, the application is successful when executors,driver memory,executor instances set specifically
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