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