You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2022/08/22 14:27:00 UTC

[jira] [Assigned] (SPARK-39755) SPARK_LOCAL_DIRS locations are not randomized in K8s

     [ https://issues.apache.org/jira/browse/SPARK-39755?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun reassigned SPARK-39755:
-------------------------------------

    Assignee: pralabhkumar

> SPARK_LOCAL_DIRS locations are not randomized in K8s
> ----------------------------------------------------
>
>                 Key: SPARK-39755
>                 URL: https://issues.apache.org/jira/browse/SPARK-39755
>             Project: Spark
>          Issue Type: Bug
>          Components: Kubernetes, Spark Core
>    Affects Versions: 3.3.0
>            Reporter: pralabhkumar
>            Assignee: pralabhkumar
>            Priority: Minor
>
> In org.apache.spark.util  getConfiguredLocalDirs  
>  
> {code:java}
> if (isRunningInYarnContainer(conf)) {
>   // If we are in yarn mode, systems can have different disk layouts so we must set it
>   // to what Yarn on this system said was available. Note this assumes that Yarn has
>   // created the directories already, and that they are secured so that only the
>   // user has access to them.
>   randomizeInPlace(getYarnLocalDirs(conf).split(","))
> } else if (conf.getenv("SPARK_EXECUTOR_DIRS") != null) {
>   conf.getenv("SPARK_EXECUTOR_DIRS").split(File.pathSeparator)
> } else if (conf.getenv("SPARK_LOCAL_DIRS") != null) {
>   conf.getenv("SPARK_LOCAL_DIRS").split(",")
> }{code}
> randomizedInplace is not called conf.getenv("SPARK_LOCAL_DIRS").split(",") .  This is what used in case of K8s and the shuffle locations are not randomized. 
> IMHO , this should be randomized , so that all the directories have equal changes of pushing the data as was done on yarn side 
>  
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org