You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@dlab.apache.org by "Anna Orlovska (JIRA)" <ji...@apache.org> on 2019/03/18 16:19:00 UTC

[jira] [Created] (DLAB-539) Connection to EMR kernel PySpark (Python-3.4 / Spark-2.2.1) can't be established on Jupyter

Anna Orlovska created DLAB-539:
----------------------------------

             Summary: 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
             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



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@dlab.apache.org
For additional commands, e-mail: dev-help@dlab.apache.org