[jira] [Updated] (SPARK-8881) Scheduling fails if num_executors < num_workers

["Nishkam Ravi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nishkam Ravi updated SPARK-8881:
--------------------------------
    Description: 
Current scheduling algorithm (in Master.scala) has two issues:

1. cores are allocated one at a time instead of spark.executor.cores at a time
2. when spark.cores.max/spark.executor.cores < num_workers, executors are not launched and the app hangs (due to 1)

  was:
Current scheduling algorithm (in Master.scala) has two issues:

(i) cores are allocated one at a time instead of spark.executor.cores at a time
(ii) when spark.cores.max/spark.executor.cores < num_workers, executors are not launched and the app hangs (due to (i))


> Scheduling fails if num_executors < num_workers
> -----------------------------------------------
>
>                 Key: SPARK-8881
>                 URL: https://issues.apache.org/jira/browse/SPARK-8881
>             Project: Spark
>          Issue Type: Bug
>          Components: Deploy
>    Affects Versions: 1.4.0, 1.5.0
>            Reporter: Nishkam Ravi
>
> Current scheduling algorithm (in Master.scala) has two issues:
> 1. cores are allocated one at a time instead of spark.executor.cores at a time
> 2. when spark.cores.max/spark.executor.cores < num_workers, executors are not launched and the app hangs (due to 1)



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