Which log stores information when there is an issue with running code in Jupyter Python Notebook?
Article ID: KB0075845
Updated On:
| Products | Versions |
|---|---|
| Spotfire Data Science Team Studio | 6.5.0 |
Description
Which log file to refer when there is an issue while running a code in Jupyter Python Notebook?
Issue/Introduction
This article provides information about the log that a user should refer to when there is an issue while running a code in Jupyter Python Notebook
Environment
Operating System: Linux
Resolution
All the issues related to the Jupyter Python Notebooks gets logged in the docker logs. To view the docker logs run the command below:
docker logs <container ID>
Eg: docker logs d2644ee846fc
NOTE: The above log file is only applicable for Jupyter Python Notebooks that are installed on a docker Spawner but not the Local Process Spawner.
docker logs <container ID>
Eg: docker logs d2644ee846fc
NOTE: The above log file is only applicable for Jupyter Python Notebooks that are installed on a docker Spawner but not the Local Process Spawner.
Additional Information
Container ID of the docker can be obtained by running the command docker ps
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