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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/07/15 00:13:04 UTC
[jira] [Updated] (SPARK-8881) Standalone mode scheduling fails if
num_executors < num_workers
[ https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or updated SPARK-8881:
-----------------------------
Summary: Standalone mode scheduling fails if num_executors < num_workers (was: Scheduling fails if num_executors < num_workers)
> Standalone mode 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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