[ https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell updated SPARK-3174:
-----------------------------------
Component/s: YARN
Spark Core
> Provide elastic scaling within a Spark application
> --------------------------------------------------
>
> Key: SPARK-3174
> URL: https://issues.apache.org/jira/browse/SPARK-3174
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, YARN
> Affects Versions: 1.0.2
> Reporter: Sandy Ryza
> Assignee: Andrew Or
> Attachments: SPARK-3174design.pdf
>
>
> A common complaint with Spark in a multi-tenant environment is that applications have
a fixed allocation that doesn't grow and shrink with their resource needs. We're blocked
on YARN-1197 for dynamically changing the resources within executors, but we can still allocate
and discard whole executors.
> I think it would be useful to have some heuristics that
> * Request more executors when many pending tasks are building up
> * Request more executors when RDDs can't fit in memory
> * Discard executors when few tasks are running / pending and there's not much in memory
> Bonus points: migrate blocks from executors we're about to discard to executors with
free space.
--
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
|