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https://issues.apache.org/jira/browse/DLAB-539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16814424#comment-16814424
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Vira Vitanska commented on DLAB-539:
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I cannot reproduce:
Commit ID 8dae9085dfabed5674e8fb1d6f7f2d981a70de7e
> Connection to EMR kernel PySpark (Python-3.4 / Spark-2.2.1) 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: AWS
> Reporter: Anna Orlovska
> Assignee: Oleh Martushevskyi
> Priority: Major
> Labels: DevOps
> Fix For: v.2.2
>
>
> *Preconditions:*
> EMR for Jupyter is created and running.
> *Steps to reproduce:*
> # Upload “carriers.csv”, “airports.csv”, “2008.csv.bz2” in storage.
> # Upload “Flights_data_Preparation_R-Spark.ipynb” on Jupyter.
> # Correct bucket and protocol parameters if needed.
> # Choose EMR kernel PySpark (Python-3.4 / Spark-2.2.1) for running.
> # Run playbook.
> *Expected result:*
> Playbook is run successfully.
> *Actual result:*
> Connection to kernel isn’t established.
> Error:
> /opt/python/python3.4.7/bin/python3.4: No module named ipykernel
> ipykernel is not installed due to tornado library. tornado version should be
> 5.1.1
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