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https://issues.apache.org/jira/browse/TOREE-323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16537492#comment-16537492
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Andrew Otto commented on TOREE-323:
-----------------------------------
When I inspect my Kernel metadata, I don't actually see anything set for
language_info. All I have is:
{code:java}
{
"kernelspec": {
"name": "spark_local_pyspark",
"display_name": "Spark Local - PySpark",
"language": "python"
}
}{code}
My kernel.json is:
{code:java}
{
"display_name": "Spark Local - PySpark",
"language": "python",
"env": {
"__TOREE_SPARK_OPTS__": "--name='Jupyter PySpark'",
"DEFAULT_INTERPRETER": "PySpark",
"PYTHON_EXEC": "/usr/bin/python3",
"SPARK_HOME": "/usr/lib/spark2",
"__TOREE_OPTS__": "",
"PYTHONPATH":
"/usr/lib/spark2/python:/usr/lib/spark2/python/lib/py4j-0.10.6-src.zip"
},
"interrupt_mode": "signal",
"argv": [
"/usr/local/share/jupyter/kernels/spark_local_pyspark/bin/run.sh",
"--profile",
"{connection_file}"
],
"metadata": {}
}{code}
I'm using Toree 0.2.0-incubating-rc5
> 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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