[jira] [Updated] (DATALAB-2717) Investigate if the same types of kernels should be for local & remote kernels

["Vira Vitanska (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/DATALAB-2717?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Vira Vitanska updated DATALAB-2717:
-----------------------------------
    Description: 
For example, for Jupyter with tensor flow we have
 # local kernel Local PySpark (Python-3.7.9 / Spark-3.0.1 )
 # remote kernels:
 ** PySpark (Python-3.7/Spark-3.0.1)
 ** Spark (Scala-2.12.10/Spark-3.0.1)

(?)Why do we don't have scala for local kernel?

 

  was:
For example, for Jupyter with tensor flow we have
 # local kernel Local PySpark (Python-3.7.9 / Spark-3.0.1 )
 # remote kernels:
 ** PySpark (Python-3.7/Spark-3.0.1)
 ** Spark (Scala-2.12.10/Spark-3.0.1)


> Investigate if the same types of kernels should be for local & remote kernels
> -----------------------------------------------------------------------------
>
>                 Key: DATALAB-2717
>                 URL: https://issues.apache.org/jira/browse/DATALAB-2717
>             Project: Apache DataLab
>          Issue Type: Task
>      Security Level: Public(Regular Issues) 
>          Components: DataLab Main
>            Reporter: Vira Vitanska
>            Assignee: Leonid Frolov
>            Priority: Minor
>              Labels: AWS, Debian, DevOps, RedHat
>
> For example, for Jupyter with tensor flow we have
>  # local kernel Local PySpark (Python-3.7.9 / Spark-3.0.1 )
>  # remote kernels:
>  ** PySpark (Python-3.7/Spark-3.0.1)
>  ** Spark (Scala-2.12.10/Spark-3.0.1)
> (?)Why do we don't have scala for local kernel?
>  



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