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Posted to dev@dlab.apache.org by "Vira Vitanska (JIRA)" <ji...@apache.org> on 2018/12/20 11:06:00 UTC

[jira] [Reopened] (DLAB-108) [RStudio]: Terminating spark cluster behaves wrong for resources with similar name

     [ https://issues.apache.org/jira/browse/DLAB-108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Vira Vitanska reopened DLAB-108:
--------------------------------

Now after cluster deletion remote kernel is not deleted from kernels list, they are commented.
But if there are not any cluster (all clusters are deleted) the kernel of the latest cluster in list is uncommented.

After cluster deletion remote kernel (of deleted cluster) should be removed from kernels list, but NOT commented.

> [RStudio]: Terminating spark cluster behaves wrong for resources with similar name
> ----------------------------------------------------------------------------------
>
>                 Key: DLAB-108
>                 URL: https://issues.apache.org/jira/browse/DLAB-108
>             Project: Apache DLab
>          Issue Type: Bug
>            Reporter: Vira Vitanska
>            Assignee: Oleh Moskovych
>            Priority: Major
>              Labels: DevOps
>             Fix For: 2.1 release
>
>
> When there more than 1 spark cluster created with similar name (e.g. cluster, cluster1) on RStudo action terminating for cluster also removed remote kernels for cluster1 from kernels list)
> *Preconditions:*
> 1. two spark clusters are created on RStudio with names "spark" and "spark1"
> *Steps to reproduce:*
> 1. terminate cluster with name "spark"
> *Actual result:*
> 1. cluster with name "spark" is terminated
> 2. remote kernel of cluster with name "spark" is deleted from kernels list 
> 3. cluster with name "spark1" is running
> 4. remote kernel of cluster with name "spark1" is deleted from kernels list
> *Expected result:*
> 1. cluster with name "spark" is terminated
> 2. remote kernel of cluster with name "spark" is deleted from kernels list 
> 3. cluster with name "spark1" is running
> 4. remote kernel of cluster with name "spark1" is available in kernels list



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