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Posted to dev@dlab.apache.org by "Mykola Bodnar (Jira)" <ji...@apache.org> on 2020/02/27 11:04:00 UTC
[jira] [Commented] (DLAB-539) Connection to EMR v.5.19 kernel
PySpark (Python-3.4 / Spark-2.3.2) can't be established on Jupyter
[ https://issues.apache.org/jira/browse/DLAB-539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046492#comment-17046492 ]
Mykola Bodnar commented on DLAB-539:
------------------------------------
On hold: it will be fixed by updating EMR version
> Connection to EMR v.5.19 kernel PySpark (Python-3.4 / Spark-2.3.2) can't be established on Jupyter
> --------------------------------------------------------------------------------------------------
>
> Key: DLAB-539
> URL: https://issues.apache.org/jira/browse/DLAB-539
> Project: Apache DLab
> Issue Type: Bug
> Components: DLab Old
> Reporter: Anna Orlovska
> Assignee: Mykola Bodnar
> Priority: Minor
> Labels: 2.3_old, AWS, DevOps, Known_issues(release2.2)
> Fix For: v.2.3
>
> Attachments: EMR 519 Jupyter 6.0.2.png, EMR519.png, Status.png
>
>
> *Preconditions:*
> EMR v.5.19 for Jupyter is created and running.
> *Steps to reproduce:*
> # Choose EMR kernel PySpark (Python-3.4 / Spark-2.2.1) for running
> *Actual result:*
> EMR kernel is NOT started successfully
> *Expected result:*
> EMR kernel is started successfully
>
> EMR kernel is not started only for EMR v.5.19.
> And on the other Jupyter for EMR[5.19] it is the same glitch with starting.
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