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https://issues.apache.org/jira/browse/DATALAB-1865?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17437987#comment-17437987
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Vira Vitanska commented on DATALAB-1865:
----------------------------------------
*Closed:*
Commit ID cb6d6b3045839543450a860df4314b2b63f59096.
> [Branch-515][Azure][Jupyter]: Connection to kernel R/Scala is not successful
> -----------------------------------------------------------------------------
>
> Key: DATALAB-1865
> URL: https://issues.apache.org/jira/browse/DATALAB-1865
> Project: Apache DataLab
> Issue Type: Bug
> Components: DataLab Main
> Environment: Branch-515
> Reporter: Vira Vitanska
> Assignee: Oleh Mykolaishyn
> Priority: Critical
> Labels: AWS, Azure, Debian, DevOps, GCP, pull-request-available
> Fix For: v.2.5.1
>
> Attachments: Azure Jupyter connection to local kernel R.png,
> Azure-Jupytaer-Connection to local kermel SCala.png, Dead kernel.jpg, Local
> kernel R.png, Local kernel scala.png, Verified1-AWS-EMR6-Scala.jpg
>
>
> *Preconditions:*
> 1. Jupyter is created
> *Steps to reproduce:*
> # Run playbook via kernel R (Local SparkR (R-3.4.4, Spark-2.4.4) and remote
> EMR5.28 SparkR (R-3.4.1, Spark-2.4.4))
> # Run playbook via kernel Scala (Local Apache Toree - Scala (Scala-2.11.12,
> Spark-2.4.4) and remote EMR 5.28 Apache Toree - Scala (Scala-2.11.12,
> Spark-2.4.4) )
> *Actual result:*
> # Connection to kernel R died
> # Connection to Scala stuck
> *Expected result:*
> 1. Connection to kernel R is successful
> 2. Connection to Scala is successful
> *For Azure*
> R/Scala
> ||R (local)|{color:#de350b}error with connection to kernel{color}|
> ||R (Spark)|{color:#4c9aff}Blocked{color}|
> ||Scala (Local)|{color:#de350b}error with connection to kernel {color}|
> ||Scala (Spark)|{color:#4c9aff}Blocked{color}|
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