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https://issues.apache.org/jira/browse/TOREE-323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15337778#comment-15337778
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Liam Fisk commented on TOREE-323:
---------------------------------
When I get time I'll tweak the install scripts, your hunch was correct. In the
Toree kernel:
{code}
{
"kernelspec": {
"name": "apache_toree_pyspark",
"display_name": "Apache Toree - PySpark",
"language": "python"
},
"language_info": {
"version": "2.10.4",
"name": "scala"
}
}
{code}
vs the Jupyter Python demo:
{code}
{
"language_info": {
"file_extension": ".py",
"mimetype": "text/x-python",
"pygments_lexer": "ipython3",
"name": "python",
"version": "3.5.1",
"nbconvert_exporter": "python",
"codemirror_mode": {
"version": 3,
"name": "ipython"
}
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
}
}
{code}
Clearly a few things to tweak there.
> 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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