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* Test added for all kernels * Same examples as provided in the documentation (`specifics.md`) * Used the same use case for all examples: sum of the first 100 whole numbers Note: I've not automatically tested `local_sparklyr.ipynb` since it creates by default the `metastore_db` dir and the `derby.log` file in the working directory. Since I mount it in `RO` it's not working. I'm struggling to set it elsewhere...
60 lines
2.4 KiB
Plaintext
60 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"output_type": "error",
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"ename": "Error",
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"evalue": "Jupyter cannot be started. Error attempting to locate jupyter: Data Science libraries jupyter and notebook are not installed in interpreter Python 3.7.7 64-bit ('jupyter': conda).",
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"traceback": [
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"Error: Jupyter cannot be started. Error attempting to locate jupyter: Data Science libraries jupyter and notebook are not installed in interpreter Python 3.7.7 64-bit ('jupyter': conda).",
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"at b.startServer (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:92:270430)",
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"at async b.createServer (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:92:269873)",
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"at async connect (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:92:397876)",
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"at async w.ensureConnectionAndNotebookImpl (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:16:556625)",
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"at async w.ensureConnectionAndNotebook (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:16:556303)",
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"at async w.clearResult (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:16:552346)",
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"at async w.reexecuteCell (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:16:540374)",
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"at async w.reexecuteCells (/Users/romain/.vscode/extensions/ms-python.python-2020.5.80290/out/client/extension.js:16:537541)"
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]
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}
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],
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"source": [
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"from pyspark.sql import SparkSession\n",
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"\n",
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"# Spark session & context\n",
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"spark = SparkSession.builder.master('local').getOrCreate()\n",
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"sc = spark.sparkContext\n",
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"\n",
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"# Sum of the first 100 whole numbers\n",
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"rdd = sc.parallelize(range(100 + 1))\n",
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"rdd.sum()\n",
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"# 5050"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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} |