[ https://issues.apache.org/jira/browse/SPARK-9745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alex Angelini updated SPARK-9745: --------------------------------- Description: When a job has only a single executor remaining and that executor dies (due to something like an OOM), the application fails to notice that there are no executors left and it hangs indefinitely. This only happens when dynamic allocation is enabled. The following images were taken from a hung application with no executors: !logs_hung_job.png! !am_hung_job.png! !executors_hung_job.png! !tasks_hung_job.png! was: When a job has only a single executor remaining and that executor dies (due to something like an OOM), the application fails to notice that there are no executors left and it hangs indefinitely. This only happens when dynamic allocation is enabled. The following attached images were taken from a hung application with no executors: !logs_hung_job.png! > Applications hangs when the last executor fails with dynamic allocation > ----------------------------------------------------------------------- > > Key: SPARK-9745 > URL: https://issues.apache.org/jira/browse/SPARK-9745 > Project: Spark > Issue Type: Bug > Components: PySpark, Scheduler, YARN > Affects Versions: 1.5.0 > Environment: YARN + Pyspark + Dynamic Allocation > Reporter: Alex Angelini > Attachments: am_hung_job.png, executors_hung_job.png, > logs_hung_job.png, tasks_hung_job.png > > > When a job has only a single executor remaining and that executor dies (due > to something like an OOM), the application fails to notice that there are no > executors left and it hangs indefinitely. > This only happens when dynamic allocation is enabled. > The following images were taken from a hung application with no executors: > !logs_hung_job.png! > !am_hung_job.png! > !executors_hung_job.png! > !tasks_hung_job.png! -- 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