You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/31 21:36:00 UTC
[jira] [Assigned] (SPARK-23285) Allow spark.executor.cores to be
fractional
[ https://issues.apache.org/jira/browse/SPARK-23285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23285:
------------------------------------
Assignee: Apache Spark
> Allow spark.executor.cores to be fractional
> -------------------------------------------
>
> Key: SPARK-23285
> URL: https://issues.apache.org/jira/browse/SPARK-23285
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes, Scheduler, Spark Submit
> Affects Versions: 2.4.0
> Reporter: Anirudh Ramanathan
> Assignee: Apache Spark
> Priority: Minor
>
> There is a strong check for an integral number of cores per executor in [SparkSubmitArguments.scala#L270-L272|https://github.com/apache/spark/blob/3f4060c340d6bac412e8819c4388ccba226efcf3/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala#L270-L272]. Given we're reusing that property in K8s, does it make sense to relax it?
>
> K8s treats CPU as a "compressible resource" and can actually assign millicpus to individual containers. Also to be noted - spark.driver.cores has no such check in place.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org