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https://issues.apache.org/jira/browse/TOREE-323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15329590#comment-15329590
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Corey A Stubbs commented on TOREE-323:
--------------------------------------
My intuition is that there is a problem with the KernelSpec being generated on
install. You can see this in the "Welcome To R - demo" and "Welcome To Python"
notebooks on http://try.jupyter.org. If you go those notebooks and Navigate to
Edit -> Edit Notebook Metadata you will see the language_info section is where
syntax highlighting is setup.
{code}
{
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"version": "3.5.1",
"pygments_lexer": "ipython3",
"codemirror_mode": {
"version": 3,
"name": "ipython"
},
"mimetype": "text/x-python",
"file_extension": ".py",
"nbconvert_exporter": "python",
"name": "python"
}
}
{code}
My guess is we need to add some code to the install scripts:
https://github.com/apache/incubator-toree/blob/master/etc/pip_install/toree/toreeapp.py#L96.
> Syntax highlighting and autocomplete don't function for PySpark kernel
> ----------------------------------------------------------------------
>
> Key: TOREE-323
> URL: https://issues.apache.org/jira/browse/TOREE-323
> Project: TOREE
> Issue Type: Bug
> Reporter: Liam Fisk
> Priority: Minor
>
> In a jupyter notebook using the PySpark kernel python syntax highlighting is
> patchy/non-existent, and commenting code uses // rather than #.
> Additionally, there is no autocomplete functionality, which will prevent
> people from using the Toree kernel over manually integrating with PySpark.
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