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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/03/09 20:42:00 UTC

[jira] [Assigned] (SPARK-34509) Make dynamic allocation upscaling more progressive on K8S

     [ https://issues.apache.org/jira/browse/SPARK-34509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-34509:
------------------------------------

    Assignee:     (was: Apache Spark)

> Make dynamic allocation upscaling more progressive on K8S
> ---------------------------------------------------------
>
>                 Key: SPARK-34509
>                 URL: https://issues.apache.org/jira/browse/SPARK-34509
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 2.3.4, 2.4.7, 3.0.2, 3.2.0
>            Reporter: Attila Zsolt Piros
>            Priority: Major
>
> Currently even a single late pod request stops upscaling. As we have allocation batch size it would be better to go up to that limit as soon as possible (if serving pod requests are slow we have to make them as early as possible). 



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