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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:
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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
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