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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2024/09/17 04:25:00 UTC

[jira] [Resolved] (SPARK-49658) E2E Workflow Refactor

     [ https://issues.apache.org/jira/browse/SPARK-49658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-49658.
-----------------------------------
    Fix Version/s: kubernetes-operator-0.1.0
       Resolution: Fixed

Issue resolved by pull request 125
[https://github.com/apache/spark-kubernetes-operator/pull/125]

> E2E Workflow Refactor
> ---------------------
>
>                 Key: SPARK-49658
>                 URL: https://issues.apache.org/jira/browse/SPARK-49658
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Kubernetes
>    Affects Versions: 4.0.0
>            Reporter: Qi Tan
>            Assignee: Qi Tan
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: kubernetes-operator-0.1.0
>
>
> Current matrix
> result in combination
> 1.28.0, spark-versions, watched-namespace
> 1.28.0, python, watched-namespace
> 1.28.0, state-transition, watched-namespace
> ...
> It is costing more time and resources since in every run, the watched-namespace test will be run. It shall be run once after dynamic-mode operator is installed.



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