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Resource Visualisation - Cartography

Via VM, Local Machine or Vagrant

Prerequisites

Operating System: Ubuntu 18.04

Prepare the following information

AWS Region (e.g. ap-southeast-1)

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echo "created for public use and use."

echo "Start with re-install cleanup."
rm -r /etc/dnsdumpster
rm /var/www/html/youtube-ads-list.txt
rm /etc/pihole/youtube-ads.sh
echo "cleanup done."

echo "installing python-pip and dnsdumpster."
apt-get install python-pip

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console.log("testing")

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#! /usr/bin/env bash

time spark-submit \
  --deploy-mode client \
  --master spark://spark-master:7077 \
  --conf spark.driver.host=spark-master  \
  --conf spark.executor.memory=2g \
  --conf spark.driver.memory=1g \
  "$@"

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import sys
from operator import add

from pyspark.sql import SparkSession


if __name__ == "__main__":
    spark = SparkSession\
        .builder\
        .appName("PythonWordCount")\