[jira] [Comment Edited] (SPARK-25073) Spark-submit on Yarn Task : When the yarn.nodemanager.resource.memory-mb and/or yarn.scheduler.maximum-allocation-mb is insufficient, Spark always reports an erro

[ https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16590396#comment-16590396 ] Sujith edited comment on SPARK-25073 at 8/23/18 3:48 PM: -  Yes, in the executor

[jira] [Comment Edited] (SPARK-25073) Spark-submit on Yarn Task : When the yarn.nodemanager.resource.memory-mb and/or yarn.scheduler.maximum-allocation-mb is insufficient, Spark always reports an erro

[ https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16590396#comment-16590396 ] Sujith edited comment on SPARK-25073 at 8/23/18 3:43 PM: -  Yes, in the executor

[jira] [Comment Edited] (SPARK-25073) Spark-submit on Yarn Task : When the yarn.nodemanager.resource.memory-mb and/or yarn.scheduler.maximum-allocation-mb is insufficient, Spark always reports an erro

[ https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16590396#comment-16590396 ] Sujith edited comment on SPARK-25073 at 8/23/18 3:42 PM: -  Yes, in the executor

[jira] [Comment Edited] (SPARK-25073) Spark-submit on Yarn Task : When the yarn.nodemanager.resource.memory-mb and/or yarn.scheduler.maximum-allocation-mb is insufficient, Spark always reports an erro

[ https://issues.apache.org/jira/browse/SPARK-25073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16590089#comment-16590089 ] Sujith edited comment on SPARK-25073 at 8/23/18 11:28 AM: -- cc [~hyukjin.kwon]