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Posted to dev@datalab.apache.org by "Alina Ignatiuk (Jira)" <ji...@apache.org> on 2022/05/27 08:03:00 UTC
[jira] [Updated] (DATALAB-2717) Investigate if the same types of kernels should be for local & remote kernels
[ https://issues.apache.org/jira/browse/DATALAB-2717?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alina Ignatiuk updated DATALAB-2717:
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Sprint: Apache DataLab release 2.6.1 (was: Apache DataLab release 2.6)
> 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
> Fix For: v.2.5.2
>
>
> 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)
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