start of raw_to_base
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@@ -0,0 +1,74 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"ename": "",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31mRunning cells with 'Python 3.12.4' requires the ipykernel package.\n",
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"\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
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"\u001b[1;31mCommand: '/bin/python3.12 -m pip install ipykernel -U --user --force-reinstall'"
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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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"from pyspark.sql.functions import *\n",
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"from pyspark.sql.types import *\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"ename": "",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31mRunning cells with 'Python 3.12.4' requires the ipykernel package.\n",
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"\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
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"\u001b[1;31mCommand: '/bin/python3.12 -m pip install ipykernel -U --user --force-reinstall'"
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]
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}
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],
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"source": [
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"\n",
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"spark = SparkSession.builder.appName(\"finance_dwh\").config(\"spark.memory.offHeap.enabled\",\"true\").config(\"spark.memory.offHeap.size\",\"10g\").getOrCreate()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"accounts_data = spark.read.json(\"data/20240728094708.json\")\n",
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"accounts_data.printSchema()\n",
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"#accounts_data.show()\n",
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"\n"
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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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"name": "python",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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