You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Timothy Wilder (JIRA)" <ji...@apache.org> on 2015/01/08 21:09:34 UTC
[jira] [Updated] (SPARK-5156) Priority queue for cross application
scheduling
[ https://issues.apache.org/jira/browse/SPARK-5156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Timothy Wilder updated SPARK-5156:
----------------------------------
Description:
FIFO is useful, but for many use cases, something more fine-grained would be excellent. If possible, I would love to see an optional priority queue for cross application scheduling.
The gist of this would be that applications could be submitted with a priority, and the highest priority application would be executed first.
A means to do crud operations on the queue would also be fantastic.
was:
FIFO is useful, but for many use cases, something more fine-grained would be excellent. If possible, I would love to see an optional priority queue for cross application scheduling.
The gist of this would be that applications could be submitted with a priority, and the highest priority application would be executed first.
> Priority queue for cross application scheduling
> -----------------------------------------------
>
> Key: SPARK-5156
> URL: https://issues.apache.org/jira/browse/SPARK-5156
> Project: Spark
> Issue Type: Wish
> Reporter: Timothy Wilder
> Priority: Minor
>
> FIFO is useful, but for many use cases, something more fine-grained would be excellent. If possible, I would love to see an optional priority queue for cross application scheduling.
> The gist of this would be that applications could be submitted with a priority, and the highest priority application would be executed first.
> A means to do crud operations on the queue would also be fantastic.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org