{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Montreal Python 69 - Tutorial\n",
    "### By Abbas Taher\n",
    "### GoFlek Inc.\n",
    "### Monday Feb 5th 2018\n",
    "### Three Methods to Aggregate Subscriber's Interest - Aggregating Data\n",
    "### AGENDA:\n",
    "\n",
    ">      a- Recipe 1- Using Python Dictionary\n",
    "   \n",
    ">      b- Short Overview of PySpark\n",
    "      \n",
    ">      c- Recipe 2- Using Apache Spark - GroupBy Transformation\n",
    "      \n",
    ">      d- Recipe 3- Using Apache Spark - ReduceBy Transformation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem Statment: \"Aggregate Interest by ID\"\n",
    ">     For Subscribers of an Online Magazine\n",
    ">     Aggregate each subscriber's interest/likes into a (key,value) pair in one record\n",
    "\n",
    "\n",
    "### Original Data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1001</td>\n",
       "      <td>Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1002</td>\n",
       "      <td>Auto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1002</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1002</td>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1002</td>\n",
       "      <td>Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1003</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1018</td>\n",
       "      <td>Auto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1018</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1018</td>\n",
       "      <td>Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1019</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1019</td>\n",
       "      <td>Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1020</td>\n",
       "      <td>Auto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1020</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>44 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID Interest\n",
       "0   1001   Sports\n",
       "1   1001   Techno\n",
       "2   1002     Auto\n",
       "3   1002     Food\n",
       "4   1002   Sports\n",
       "5   1002   Techno\n",
       "6   1003     Food\n",
       "..   ...      ...\n",
       "37  1018     Auto\n",
       "38  1018     Food\n",
       "39  1018   Techno\n",
       "40  1019     Food\n",
       "41  1019   Techno\n",
       "42  1020     Auto\n",
       "43  1020     Food\n",
       "\n",
       "[44 rows x 2 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_rows',15)  # change preview settings\n",
    "\n",
    "fname = './InterestData.csv'\n",
    "subscrib_data = pd.read_csv(fname, delimiter =';')\n",
    "subscrib_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Expected Output after Aggregating by ID:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002</td>\n",
       "      <td>Auto, Food, Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1003</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1004</td>\n",
       "      <td>Auto, Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005</td>\n",
       "      <td>Auto, Food, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1006</td>\n",
       "      <td>Food, Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1007</td>\n",
       "      <td>Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1008</td>\n",
       "      <td>Auto, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1009</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1010</td>\n",
       "      <td>Auto, Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1011</td>\n",
       "      <td>Food,Sport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1012</td>\n",
       "      <td>Auto, Food, Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1013</td>\n",
       "      <td>Auto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1014</td>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1015</td>\n",
       "      <td>Auto, Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1016</td>\n",
       "      <td>Auto, Food, Sports, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1017</td>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1018</td>\n",
       "      <td>Auto, Food, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1019</td>\n",
       "      <td>Food, Techno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1020</td>\n",
       "      <td>Auto, Food</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID                    Interest\n",
       "0   1001              Sports, Techno\n",
       "1   1002  Auto, Food, Sports, Techno\n",
       "2   1003                        Food\n",
       "3   1004                  Auto, Food\n",
       "4   1005          Auto, Food, Techno\n",
       "5   1006        Food, Sports, Techno\n",
       "6   1007              Sports, Techno\n",
       "7   1008                Auto, Techno\n",
       "8   1009                        Food\n",
       "9   1010                  Auto, Food\n",
       "10  1011                  Food,Sport\n",
       "11  1012  Auto, Food, Sports, Techno\n",
       "12  1013                        Auto\n",
       "13  1014                      Sports\n",
       "14  1015                  Auto, Food\n",
       "15  1016  Auto, Food, Sports, Techno\n",
       "16  1017                      Sports\n",
       "17  1018          Auto, Food, Techno\n",
       "18  1019                Food, Techno\n",
       "19  1020                  Auto, Food"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_rows',20)  # change preview settings\n",
    "\n",
    "fname = './InterestAggregated.csv'\n",
    "subscrib_data = pd.read_csv(fname, delimiter =';')\n",
    "subscrib_data\n",
    "\n",
    "# Note: key = ID ; Interest = Long string with commas between each interest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RECIPE \\#1: Using A Python Dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "from collections import defaultdict  \n",
    "\n",
    "aggInterest = defaultdict(list)        # dictionary <key,[list]>\n",
    "header = None\n",
    "\n",
    "# Read the file into a dictionary\n",
    "with open('./InterestData.csv','r') as csvfile:\n",
    "    readCSV = csv.reader(csvfile, delimiter=';')\n",
    "    header = next(readCSV)  \n",
    "    for row in readCSV:                         # loop over all records in file\n",
    "        aggInterest[row[0]].append((row[1]))    # <--- aggregating interest into the corresponding dictionary key\n",
    "\n",
    "# Write the dictionary data into the file         \n",
    "with open('./aggInterest.csv', 'w') as csvfile:         \n",
    "    writeCSV = csv.writer(csvfile, delimiter=';')\n",
    "    writeCSV.writerow(header)\n",
    "    for idd, interest in aggInterest.items():\n",
    "        writeCSV.writerow((idd,interest))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ID;Interest\n",
      "\n",
      "1001;['Sports', 'Techno']\n",
      "\n",
      "1002;['Auto', 'Food', 'Sports', 'Techno']\n",
      "\n",
      "1003;['Food']\n",
      "\n",
      "1004;['Auto', 'Food']\n",
      "\n",
      "1005;['Auto', 'Food', 'Techno']\n",
      "\n",
      "1006;['Food', 'Sports', 'Techno']\n",
      "\n",
      "1007;['Sports', 'Techno']\n",
      "\n",
      "1008;['Auto', 'Techno']\n",
      "\n",
      "1009;['Food']\n",
      "\n",
      "1010;['Auto', 'Food']\n",
      "\n",
      "1011;['Food', 'Sport']\n",
      "\n",
      "1012;['Auto', 'Food', 'Sports', 'Techno']\n",
      "\n",
      "1013;['Auto']\n",
      "\n",
      "1014;['Sports']\n",
      "\n",
      "1015;['Auto', 'Food']\n",
      "\n",
      "1016;['Auto', 'Food', 'Sports', 'Techno']\n",
      "\n",
      "1017;['Sports']\n",
      "\n",
      "1018;['Auto', 'Food', 'Techno']\n",
      "\n",
      "1019;['Food', 'Techno']\n",
      "\n",
      "1020;['Auto', 'Food']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "text_file = open('./aggInterest.csv', 'r')\n",
    "for line in text_file:\n",
    "    print(line)\n",
    "    \n",
    "#Note: This is not quite what we are looking for, we want to save a long string as one field rather than a list   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ID;Interest\n",
      "\n",
      "1001;Sports,Techno\n",
      "\n",
      "1002;Auto,Food,Sports,Techno\n",
      "\n",
      "1003;Food\n",
      "\n",
      "1004;Auto,Food\n",
      "\n",
      "1005;Auto,Food,Techno\n",
      "\n",
      "1006;Food,Sports,Techno\n",
      "\n",
      "1007;Sports,Techno\n",
      "\n",
      "1008;Auto,Techno\n",
      "\n",
      "1009;Food\n",
      "\n",
      "1010;Auto,Food\n",
      "\n",
      "1011;Food,Sport\n",
      "\n",
      "1012;Auto,Food,Sports,Techno\n",
      "\n",
      "1013;Auto\n",
      "\n",
      "1014;Sports\n",
      "\n",
      "1015;Auto,Food\n",
      "\n",
      "1016;Auto,Food,Sports,Techno\n",
      "\n",
      "1017;Sports\n",
      "\n",
      "1018;Auto,Food,Techno\n",
      "\n",
      "1019;Food,Techno\n",
      "\n",
      "1020;Auto,Food\n",
      "\n"
     ]
    }
   ],
   "source": [
    "with open('./aggInterest.csv', 'w') as csvfile:         \n",
    "    writeCSV = csv.writer(csvfile, delimiter=';')\n",
    "    writeCSV.writerow(header)\n",
    "    for idd, interestLst in aggInterest.items():\n",
    "        interest = \",\".join(interestLst)        #  <--- join the list into a long string\n",
    "        writeCSV.writerow((idd,interest))\n",
    "\n",
    "text_file = open('./aggInterest.csv', 'r')\n",
    "for line in text_file:\n",
    "    print(line)\n",
    "\n",
    "# Note: This is better ... "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Short Overview of PySpark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pz5bqZeh5kvqkdbGii/ReubTut7kubtv1lOphyUZTcmlFF3V9T1yMGCqXV8u+vE0yiaVr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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "image/png": {
       "height": 700,
       "width": 750
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "from IPython.core.display import HTML \n",
    "Image(filename = \"PySpark_Execution_Process.png\", width=750, height=700)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAFPBtBQAAACoDtNSAAAAYErsDyFDxIKiAAAAcIgdgVlLLCgKAAAAOTA3AAAA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\nCZEzNTwpvlD6KE5tj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TM3/IKebdg8u+5b+Lga5eF/0cz9+ro2VFYj8yHm3ZsrdP3M51+9\nuXFogHzPKzenDrcdpeYzIqZ+TkQyOZZobuiTrmOZGon0nq59r9uw7xj9HcXpin+X5aakJGQm+HeN\nSO8bhdvt0SgyH8cbFClObmSJzjl3nLX2Pza1y47yierqEpiWAvvJ+c7VQ5/8dNihspz5gz9gwVGA\nipx94MzmKzfeGD5vh7zh+q0Bqec0ygP2A6aljI9f+6LU3LBxbOfCN8Z9w7pkzY0Sc0Nx/bahnZ59\nQWU1Mh9iLpgbl778zovb3vbi89fz4kgOcdTwOErNZ0Qcx3MCzegeJ6LwJeBHmaV3YRsyBBS3a/wh\npP1Mtb8pqF12lE9UV5fCgqKwt+jLDGdOvCfuYCXU0fr0Z8P0ANANfQHloQ/fEj9jhq2heP65jPKA\n/YMFRYfR1gD2v1amX+6Uzm7387mFH8ptFxS1v6ja7YkxzQ1t9x0VpqeUmhsHozLMyI0L5sbuNBTM\nDRCpv1X7Xk+JfWdpREYUB+pTu+won6iuLgVzA/YeDX9/8C1vCjtbCf3afPaPHg7TA0CeTs8XU8FW\nCebGMNRQlzERfTHEr8ZvRzh400B4g8MbI3Z0ht0emRt+OLcNq2FuCNtZEYpr066NbXs4MB9y3PhC\nXTdrXPipKgf/X8G0FGgm9bdq3+up0PvRviuaFjGGutQuO8onqqtLYFoKrAb9snzmAx8KO14W/fr8\n6GPz/bQiwFw499Vz7SOjzvPQrZ/gmVohTEsZjm2wCxkNwnf8hTUnInMj4UddCGuMCB8nTRdRJyLa\nt01by9zwI0vW/musympkPmS5/ZWbS89fNzs15YLhscvO1JWAms+IGOM5gWHoHiei8LmTG8EG41O7\n7CifqK4uwf4QMkQsKAqL4ex9X2ldE0C/Mj98171heoDV89i3uq1pc+I9jIZaMbbRU0trW1A0MhIi\n/KJ03jTwjX+PHxnSZI4In19T2r7mhvAmy5p/kVVZjcyHLYGRkWPH4LDTVjLUfEbEGM8JDCO9p2vf\n6ynwi2oyJWVaapcd5RPV1SVgbsA6SQuOtnzNgfUBAHY5+8V/tzX/ouflkLe8iS+hwE6jp5bWZm6k\nz7HmTA6ZDNHXRCLTQPF8PuoIROlFFF8kIyX9X3FsOt/ZiFb5T7TF9V9t8ftaEyqrkfmwpcDcKKXm\nMyLGeE5gGOk9XfteT4Xed4koHMajdtlRPlFdXQLTUmDVFC04ypcdYMXoq0Iy+8JnxKBpXZoCFuUB\n64JpKXWREWAb8er4R/GEwq1pYEdE2Dxsmhw2ftM+YVxUViPzYQvmBgxA9zgRhQPkqF12lE9UV5fC\ngqKwejQFhQVHAQKeen772da2UU7b5+OBM3EesFpYUPR4kBGRMzdgmWzbw4H5sAVzAwaQ+lu17zXs\nP7XLjvKJ6upSMDcAztP1U5YsOAprocv6NIxsgiYwN44HzI39Y9seDsyHLZgbMIDU36p9r2H/qV12\nlE9UV5fAtBQAR6cOndYUYMFR2FO6fllouybN2SfDPACYlnJ8YG7sHyqrkfmw5cDcsPe8O/ZzsUep\n+YyIOT0ncAHd40QUDpCjdtlRPlFdXYL9IWSIWFAU9ouuC47e9PssOAp7xcOf/Xz7FK0b3rpdWDRK\nD5CwjZ5aWtuCon3xC3VibiwfldXIfNiCuQEDSO/p2vca9p/aZUf5RHV1CZgbAA10XnD09lMMy4dF\no/VkWsv6eWT6MS0LumAbPbWEudEduwBpFA7LQmU1Mh+2MC0FBpDe07XvNew/tcuO8onq6hKYlgLQ\ngc4LjrKgIiyNx761eejWT4Rl2iLjg1FKUALTUgDqobIamQ9bMDdgALrHiSgcIEftsqN8orq6FBYU\nBeiCOoEsOAp7xNl77ttOMYnK8SGsLwMDYEFRgDps28OB+bAFcwMGkPpbte817D+1y47yierqUjA3\nAArQ6AwWHIUls51u9Qd/EJddA0YdDAVzA6AO2/ZwYD5swdyAAaT+Vu17DftP7bKjfKK6ugSmpQD0\n4annt+tssOAoLIqOC+Vup1j90cNxHgAdYVoKQD1UViPzYQvmBgxA9zgRhQPkqF12lE9UV5dgfwgZ\nIhYUhVWy/QX8pt8PO4iHnO9IbhdhZMFROEa2nzh++9vjMprQ4rif/myYHqAU2+ipJRYUhbWishqZ\nD2NT8xkRPCfzI72na99r2H9qlx3lE9XVJWBuAFSg84Kj5zuYUXqAsTj3jWc2Z953MiyTFsVR3CgP\ngD7YRk8tYW7AWlFZjcyHsan5jIilPif3vOoFh5/PfcGr7gnjLJX0nq59r2H/qV12lE9UV5fAtBSA\nWhQsOEonEqZAozBaTbe3vx3TDUaBaSkA9VBZjcyHsan5jIhZPCf3vGrzggOjIiIyL256qYnz0puO\nhC8Z3eNEFA6Qo3bZUT5RXV0KC4oCVIQFR+G40XoZX3nXO+Oyl2C6FEwAC4oC1GHbHg7Mh7Gp+YyI\nWTwnN710x8yIeenmJpOGkRsAR6lddpRPVFeXgrkBUBstOKpfzdsWHD3xHhYchXpo9NAtt4ZlzcJC\ntzAVmBsAddi2hwPzYWxqPiNiFs+JNTde8KrNPYdhN21emrYfCdtfUn+r9r2G/ad22VE+UV1dAtNS\nAEak0yc3+QUdKqCRQF+54a1xGTtA4YwYgqlgWgpAPVRWI/NhbGo+I2IWz0nW3DjPzpSVF2xedY8J\n21N0jxNROECO2mVH+UR1dQn2h5AhYkFRgAY6dTxZ+wB60OmLPefRiA6N7IjyABgD2+ipJRYUhbWi\nshqZD2NT8xkRs3hOmsyNndEbF82N3LSUi9sPprEcmfKyO71lh2h6zDGMFknv6dr3Gvaf2mVH+UR1\ndQmYGwBT0XHB0TMf+BALjkI7Tz2/HfETlSGL1t7QGhxhHgAjYhs9tbRGc+O666472gHKcO7cuTAP\nWD4qq5H5MDY1nxEx1nNSxEjmxkvtoqM7HB0BsrNA6REaDJERSO/p2vca9p/aZUf5RHV1CUxLAZiY\n7WKPXRYcveN0mB5AI3zaRgJty9BnPx+mB5gCpqXUIe78xNx///1hHvvMmTNnNidPnjwkirMPqKxG\n5sPY1HxGxFjPSRFN5sbOaIqLJkO7uXHA4ZdU7tm86gXR9nxeO/ue8IssuseJKBwgR+2yo3yiuroU\nFhQFmBoWHIUeaERP6xou52H0D8wFFhQdzmFnpwNrHLkhQ8Neg301eLbt4cB8GJuaz4gY6zkpImtu\n7C4omjMxsuaGN0p21u9IRok1PfwIjaaw8Uj9rdr3Gvaf2mVH+UR1dSmYGwDHRKcFR8/DgqPQxQzT\niCDWbYE5gbkxnMOO0wFRnDWDuTEuNZ8RMdZzUsTO6IwMzqjoYm7sjMLYEk1xcV9kyYK5AfOndtlR\nPlFdXQLTUgBmAAuOQo5O05jecP3m4dtPYYDBrGBaSh18pyeKk0MdfU3biMKEwtrMAIXLQDh16lSR\ncaBRJCmt/m0aVdIWnvKKwvqaG4qnc0rH13SdEj7vNCWm6z6HoLIamQ9jU/MZEWM9J0U0mhvxF1L6\nmRt2JMZBvjujOZrA3ID5U7vsKJ+ori7B/hAyRCwoCjAULTh6y61x59Vw5n0nmXKwBrouQPsHf8DU\nJZglttFTS2tcUNR3eqI4HnW6bZqrrrrqSJwbbrjhMPzyyy9vDLco7m233XYkfkJGxDXXXBOm1XYb\n1x9nlK+22TjJhDhx4sTO9ogov9x5CV2n06dPH0njjzPKJx3XWPzQT/wfO8/UVGi/0fH0ZaznpIjs\ntJQ81UZuWHOj477Hxt7vKBwgR+2yo3yiuroEzA2AmdF5wVEWi9xbNJJH9zi89wdopM/Ze+4L0wPM\nAdvoqSXMje4jN7zBoBEGKUwGRFOYDAwbHiFzIaVJqIPfllamQIqvEQ82zB5HQttsnDRKImegWHx+\nV199dRjPoxEdNp0/zshYmWL0xj4w1nNSxEjmxpFFQMM1N+KvsRwn9l0dhQPkqF12lE9UV5fAtBSA\nmdJ5wdGvngvTw/LYrsFy/p5G99ry0K2f2I7siPIAmAtMS6nDYcfpAHWiI3w6b2DY0RnWGPCjOmyY\n0sggUP4a0eDNAT9awYcrb5kZ+pxtMj3s6A3la+OXmBt+REeEHbnhzRAdm0wK5R+ZHrp+Ka0/zojo\nHsBRxnpOihjL3BCZr6XYNDufgT2y/wvmx9FRIONRu4MK66F22VE+UV1dCguKAsyUc2efZMHRNaAp\nKOfvYXRvLZhZsDRYUHQ4h52gFqJpEX7qRDIq7DY7SkEGRi4sYUdm2NEbimvTWhMjkcyE9P8h5kbX\ncOHPS2aGj+OvlT03f5xC1yHtK9onxIz1nBQxprkR4tfPaF9UFHMDlkDtsqN8orq6FMwNgJmj6Qet\nC45qmgILji6Os1/8d633djsN6Y7TYXqAOYO5MZyo4xMRdbD9FBP9bUcw+E6+7+DbsIRNbw0Mn7bL\nGhTeNBjL3PDHlrtWNo69Nv44dR3HXmNjXxnrOSlizDU3bN7CT1UxxMbI9FNVbJ8rCgfIUbvsKJ+o\nri6BaSkAS4EFR/eKzqNyPnwL9xMWCdNS6uA7PzIUPJr2EaUVvvNv8Z185ZXCNG1DaT3abvNIaf3U\nDptvDm8aKH8fR9tsHH/MbeHCnpfw4YncOfjjtKM6oIyxnpPjImd6LInaHVRYD7XLjvKJ6uoS7A8h\nQ8SCogATwYKjC+ep5zutp6J7fPaBM3EeAAvANnpqiQVFu5kGHjt6IxFNzfBxuhCllZlg880xlblh\nw6PzTuRMkC7HCd0Y6zk5LjA3YM3ULjvKJ6qrS8DcAFgoXRcclRkSpYfpkVnRakydv6e6t6yhAkvH\nNnpqCXOj3NzQ9Amfh5Dh4eNG8ZqwnXy7HXMDcoz1nBwXmBuwZmqXHeUT1dUlMC0FYMEULTjK1zWO\nDU0r0fSS6N5YdC91T6M8AJYG01LqYDvVIorThO+wW7QWhY1rp2U0mQARuekqTUxlbnQ9tlw8zI16\njPWcHBeYG7Bmapcd5RPV1aWwoCjAwumyKCULjh4PWghU04Sie5LY3pvz9zBKD7BkWFB0OLZTLaI4\nOXynXJ9G9VNU7CdPtXaHDbN5teFNlMhkEE2fWPVmi2jLt4u54c8riuMXFLWjT/xxYm70Z6znBPpj\n+1xROECO2mVH+UR1dSmYGwD7gBYcvfUTYefZsh0dwAKVo6NPtmpaUHQPLHzGF/YZzI3h2E61iOLk\nsCMR9Le2eTPAduJlftiwyGxIeIPAp/UjP2QeaF92f8Km8V8h8caGaDM3dBw2XLQdm/AGiP0MLuZG\nPcZ6TqA/ts8VhQPkqF12lE9UV5fAtBSAPWO74Oi73hl2pA/RgqNa1yFIn1Dn/OG77g3D1kzbdets\nMp14z+bcQ4/GeQDsAUxLqYPtVLdhjQHfobeddT96wxoGPkxGgDrzCZkAKY43GnxaIYPCTnfx5oYN\n64Lf5+nTp4/E0T50LNaE8Mem/+tcZOD46Sje/MDcqMdYzwn0p3YHFdZD7bKjfKK6ugT7Q8gQsaAo\nwMwYuuCowjRdglEeF9lOMTl/3XLTe87ec1/r9KCtsYRpBCvANnpqiQVFm8mZFGnURkJGh01nDQcZ\nJJFJEdHFaPD40SBtaRTf/t/vU+SO15oQXc9LcaxJJDA36jHWcwL9se/qKBwgR+2yo3yiuroEzA2A\nPUbGRKcFR2/9xM6Co6kTvw378C07ea4VXcu0dsZX3v72nakkGoHR6TrrWrKwK6wE2+ippTWaG366\nRBOpU+5HbchA8Pn6ERPWNFA+TfuVWXLixImd/BLKJxqNIdMgN81FZos3HvT/dNw2zBsPQtv86Avh\nz7vpvJqOT+ls3GjqC3RjrOcE+mPf1VE4QI7aZUf5RHV1CUxLAVgBnRccPR/PduIT+oRplO+aOPOB\nD+1ck7RWxsO3n2odIaPPv/JJXlgbTEvZD2RWWOyCoE0onk0XxfGUxvfIhOia3u6rS3yow74+J0vG\ndlAB+hKVrVKUT1RXl8KCogBroONaEJEJojU81rzopaah+GsiQ0OmxZHtlvNxWtfoANhjWFAUACw8\nJ/PjB658zU6/C6APUdkqRflEdXUpmBsAK6LTgqMBq+2kP/X8dhpKdE2aOPO+k6xXAqsHcwMALDwn\n8+NNN92+0+8CKOWVb/pgWLZKUV5RXV0C01IAVsp2wVE3/aSRN1y/OXf2yTCvfUbTT8LrkUFGSG7B\nUYA1wbQUAPDwnABAjhrmhv0hZIhYUBRggXRdcDSh0QhRPvuKPofbtp7GIefjpXU4orwA1kb6RUfU\n0hoXFAXYJ3hOACAH5gYAVOHhz34+7rAHaNHRKI99RJ/Dja6BZ/vJ3IceDfMAWCuYGwDg4TkBgBw1\nzA2mpQBA5068UEd+DaMT7Odwu8DXUAB2YVoKAHh4TgAgRw1zQ7CgKMCKKe3EC311JcprX4g+h9vG\n2r8oAxDBgqIAYOE5AYAcmBsAMIg+nfgtWlz0q+fCPPeBMx/4UHzeLfDZV4BdMDcAwMJzAgA5apgb\nTEsBWDFaa6PPZ06FprJEeS4dfekkOt9OyPTh868AW5iWAgAenhMAyFHD3LA/hAwRC4oC7AFnHzhz\ngXvu2zx8+6kt+kLKmZt+fzvtwnfmNaUlymexPPV8aPbIyNE10Jdl0nWRMZSu1xo/kQvQhhopiVpa\nyoKiANBO9BwBwHrB3ACAY0FfBtl26vdtaspj37poWDACA2AQazM3/srJ58IOHADERM8RAKyXGuYG\n01IAAACgOmublvJLX8LcAOjKVXfFzxEArJca5oZgQVEAAACozpoWFAUAAID+YG4AAADAbMHcAAAA\ngC7UMDeYlgIARXzt4Sc2pz52+yHvfs11m3f82m8e4bd+8n/dvPLv/39G5zevvCrcv7DH+eAfnQ3P\nBwDGYW3TUgAAAKA/NcwN+0PIELGgKMCCuf++r2wNgNs/8LFDY8CaEz/937xgc9X//f+25Z//v/+r\nza/8z3/3kHf+3M9u3vOLv3CET7zh+s3dJ949Op+54S3h/oU9zp/+by7bOYdXBubIbX/wge11OP3Z\ne8LrBADdUSMlUUtzXlAUAAAA+oO5AQCdSQaGRlq89Rf+zY5pcfV/99e2BsCr/+E/ODQGrDlx9jOf\n3nzr/vv2hsfuvCM0R679R1dsr8Mv/u2/tWOCvPFf/dzhSJB7T98XXl8A2AVzAwAAALpSw9xgWgrA\nnpKMjF8732FXJz0ZGBpp8f5f/ZW9NC1qk0yQD/3mbxyOBHnZf/+Dm3/6//p/bk2PZHicfeyb4T0A\nWDNMSwEAAICu1DA3BAuKAuwJ6mi//qf+5bbznYyMz/3e72476VHnHfrx1D2nt6ZHMjx0vTWNR9c/\nui8Aa4UFRQEAAKALmBsAsEWLfGrtCHW0P/ba39p2vqNOOYyHpvHo+mtEh+5HdJ8A1gbmBgAAAHSh\nhrnBtBSAPUBTTz722uvCTjdMi0bK/NL/+HfC+wSwJpiWAgAAAF2pYW7YH0KGiAVFAY4RLX6pkQNR\nZxumRdNVdD+i+wSwJtRISdQSC4oCAADsJ5gbALBFnelX/viPbb/2IZODaSnTo6+u6Pr/0o/8MOYG\nwHkwNwAAAKArNcwNpqUA7AHbzvRHP7K57dd/bfNbV7xou8Dlq/+/f3/z+7/8S9uRBJgddUkLiur6\nytDQ9f7Nf/D3t9df9wFzA4BpKQAAANCdGuaGYEFRgIWTzA3L7de+ZvO7//yfbUd0qPN99V/7vs2v\n/E//I5+CLeDIp2DPX7+X/eDf2F5PXVddXxkaZz9wcufaY24AXIAFRQEAAKALmBsAsCUyNzz3v+sd\nm1Ove+3m3T/zLzdv/cl/uu2c//QLLt2mVYddHffXXnXlthOfRnyIB2/5SNjxXzpf+8Rth+cos0fn\n/Ybz10XX4Rf/1t/cXpd//l//1e11euM/uWrzjp/6F9vrd+/v/k54fS2YGwAXwNwAAACALtQwN5iW\nArAHdDE3mlCHXR33j/7KNdtOfBrxIV721//6Nv9EMkISGgkiY8CjtT+SeTAmWusi2r+wx5kMi8T/\n9n3/7eE5yuzReX/gFb+0vQ6n3/qW8Dp1RflH9wlgTTAtBQAAALpSw9ywP4QMEQuKAhwj28500Mke\ng2SEJDQSRMaAR2t/JPNgTLTWRbR/YY9zqGFRAuYGAAuKAgAAQHcwNwBgy5TmBrSDuQGAuQEAAADd\nqWFuMC0FYA/A3JgXmBsATEsBAACA7tQwNwQLigIsHMyNeYG5AXABFhQFAACALmBuAAScuuZ7N5dc\ncsmWS6/5UhhnKIP3ceLKqseIuTEvMDcALoC5AQAAAF2oYW4wLQWaMZ3wS15ycxxnZnQ2Huy5hVy5\nuTFKd54bX2Li9bkumBt7DeYGANNSAAAAoDs1zA37Q8gQsaDovrJqc+OAy169OeXSMnIDmsDcAGBB\nUQAAAOgO5gaMz1rMDX9ud716c2kKE4HBMQjMjb0GcwMAcwMAAAC6U8PcYFoKNLNWc2PLzZsrUnhb\nXqVgbuw1mBsATEsBAACA7tQwNwQLikKeUnPDj3g4oLPJkI2/azQcEhxTPXPDxTGjNxr3EV0Dn3/W\n3Ng9zytOmDQNYG7MC8wNgAuwoCgAAAB0AXMDxqfA3NhZZDPiyNSOL21ecVkQ74DUsbdGQszuwp9V\nzY0ds+HifnL7aDxWu4/Q3HDXo+V6WzA35gXmBsAFMDcAAACgCzXMDaalQDNdzQ0bb8ds2O2wZ42A\nHePjgqGwa2587+YVd6XwC1gzxY5wqGtu2OO/eAzxPowR4oyc7bG2mBtDvsCCuTEvMDcAmJYCAAAA\n3alhbtgfQoaIBUX3lQEGwCE70zSS8dGSpgM5E2OO5sYRnLlh8ys1NgTmxrzA3ABgQVEAAADoDuYG\njE8nAyCeuhGHJ4OgLY3Hxj/KPMyNaGpOxrix+zY0Hm8DmBvzAnMDYBnmxg/9xLU7xwkAAADHg+rk\nqK4ugWkp0EwXA8COzAhHLAQGQWuai+yMasgwnrkRmzD5fdhztTiTw+z70pdcaUa2ZMyQFjA35gXm\nBsAypqUAAADAfsGCopBngAHQGB5OVYmwaXc7/jmDoaq5YeMYE6bLPmycC5jztObG+fQ7cdumtARg\nbswLzA2AC8x9QVEAAADYLzA3IE8nc6Nl/YxwlEbetMimdfsf39ywx9hz0dLzXJyqYs7TmRtHRnxk\nr3UM5sa8wNwAuADmBgAAAEwF01KgmU7mhhulsDPyYLfTbo2AnfUpgjQXzITMqJCdkR8jmBsufz+a\nItzHQRprgmSNnyPmhrbnzZQ2MDfmBeYGANNSAAAAYFrsDyFDxIKi+4o1AEKS4eBGHkQcMUd2O/Oe\n1Lk/ukjnUQabG00E00SazI2dtIadYwnNjd3tjSNaHJgb8wJzA2AZC4oCAADA/oC5Ac20GQC+4x/G\nb+6kR+aFNyV2RoZskaly0Ryx8auZG4GpkcjuIzQ4gvPPmRvn2bkeHaenYG7MC8wNAMwNAAAAmBam\npQDsAZgb8wJzA4BpKQAAADA9LCgKsHAwN+YF5gbABVhQFAAAAKYEcwNg4WBuzAvMDYALYG4AAADA\nVDAtBWAPwNyYF5gbAExLAQAAgGmxP4QMEQuKAhwjmBvzAnMDgAVFAQAAYFowNwD2AMyNeYG5AYC5\nAQAAANPCtBSAPQBzY15gbgAwLQUAAACmhwVFARYO5sa8wNwAuAALigIAAMCUYG4ALBzMjXmBuQFw\nAcwNAAAAmAqmpQDsAZgb8wJzA4BpKQAAADAt9oeQIWJBUYBjBHNjXmBuALCgKAAAAEwL5gbAHoC5\nMS8wNwAwNwAAAGBamJYCsAf83A/+4Ob0W98SdrRhWh78t+/Z/LP/+r8K7xPAmmBaCgAAAEwNC4oC\nLJzTn71n8/N/64c2N/3cz24711GnG8bla3/w3u31/7m/8Tc2t5/8aHifANYGC4oCAADAlGBuAOwB\nD/7R2c1bf/4XNz/9gss2v3T53968+2f+5eaON7wh7IhDHXR9b/q5f7V51f/8d7ejNXT9dR+i+wOw\nRjA3AAAAYCqYlgKwh9xx++c2b//ff2XzSz/+Y9v1H2R2vP4lL96846f+xeb2a1/DFJZC7v3d39mc\net1rt9fvjVddub2e2+t6/vq+9Rf+zeb2D3wsvA8Aa4ZpKQAAADAl9oeQIWJBUYAZI7PjA7/7zs07\nfu03N6960Ys2P//DFzrnP/fXf2Dzyh//0W2HXR33m3/x57ed+LWN+JDZo/P+wCt+aXsd3vqT/3R7\nXX7+h/77C9fpB39w88q/9/e21+/mN//O9npG1xkALmJHYNYSC4oCAABADswNgBVz7+n7Nqc+dvu2\nw66O+xuv/tltJz6N+BA/fdml245+IhkhCY0EkTHgmWrtD611Ee1f2ONMhkXif/u+//bwHGX26Lxf\n/y/+/+3cP2sUQRjA4Q/n17DWShBSmUKEVFccGETyB0SIlqcgBgNqQNRWFNRCrLWx8RuszM7usMhF\nwZ0b7sXngR/E1yLJNa7v3cz1/nVY3T3qX5d0l8m6103S37PckCRJLXMsRdIfS3dIpP/oj42LkLH0\nSZC0GPi9dPfHuDzYZOmui3XfPzX9OceFxdjnT1/X/r6S6uRYiiRJap0LRSVJUvVcKCpJklpmuSFJ\nkqpnuSFJklrlWIokSaqeYymSJKll0zdC5nChqCRJKk0/gVmLC0UlSdJFWW5IkqTqWW5IkqSWOZYi\nSZKq51iKJElqnQtFJUlS9VwoKkmSWma5IUmSqme5IUmSWuVYiiRJqp5jKZIkqWXTN0LmcKGoJEkq\nTT+BWYsLRSVJ0kVZbkiSpOpZbkiSpJY5liJJkqrnWIokSWqdC0UlSVL1XCgqSZJaFmK58fDsXfnz\n7p2n5cHJ3Nzc3NzcfPvml67c7t5/+Tb8qz7fdLmxOLxWHmKevDgyNzc3Nzc3N+9ne/tXt/NYyvLk\nvP9Ia3rnZ/XyQ3mIunlw2s/Mzc3Nzc3Nt3O+s3zUHa7eVD2Wsru43D+4LI93+ndmUmevHpSHHHNz\nc3Nzc3Pz1BwbuVD0+4+fw1ddd/r6Y3mI2jt+NkzNR+aZeWaemWfmmXnWcp5a3H8+/M18acGRHlj2\n790YJl13/vZxeZAxNzfPzDPzzDwzz/6H+cHJrWH6bzay3AAAAABoxXIDAAAACM1yAwAAAAjNcgMA\nAAAIzXIDAAAACM1yAwAAAAjNcgMAAAAIzXIDAAAACM1yAwAAAAjNcgMAAAAIzXIDAAAACM1yAwAA\nAAjNcgMAAAAIzXIDAAAACM1yAwAAAAjNcgMAAAAIzXIDAAAACM1yAwAAAAis634BEEtwtCXzFWsA\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "image/png": {
       "height": 750,
       "width": 800
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename =\"PySpark_Execution_Architecture.png\", width=800, height=750)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RECIPE \\#2: Using Apache Spark - GroupBy Transformation\n",
    "### 1- Read Subsscriber Interest only data \n",
    "### 2- Use groupByKey to merge interest \n",
    "### 3- Convert the group-by list into a long string\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6TZf/NqmvbwsGPT/KoeFRDg1H65VyqIhyqDvKoe66f8bM1xLLoeyX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\nCEuxHrVPy1v+4s6sYNCftefaQ9PKxS+8kKOGJop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4jIlj+8JQKIewFJRDACpRDtXHF/fD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\no0cXnT592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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "image/png": {
       "height": 900,
       "width": 900
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename =\"Using_GroupByKey.png\", width=900, height=900)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1001, 'Sports,Techno')\n",
      "(1002, 'Auto,Food,Sports,Techno')\n",
      "(1003, 'Food')\n",
      "(1004, 'Auto,Food')\n",
      "(1005, 'Auto,Food,Techno')\n",
      "(1006, 'Food,Sports,Techno')\n",
      "(1007, 'Sports,Techno')\n",
      "(1008, 'Auto,Techno')\n",
      "(1009, 'Food')\n",
      "(1010, 'Auto,Food')\n",
      "(1011, 'Food,Sport')\n",
      "(1012, 'Auto,Food,Sports,Techno')\n",
      "(1013, 'Auto')\n",
      "(1014, 'Sports')\n",
      "(1015, 'Auto,Food')\n",
      "(1016, 'Auto,Food,Sports,Techno')\n",
      "(1017, 'Sports')\n",
      "(1018, 'Auto,Food,Techno')\n",
      "(1019, 'Food,Techno')\n",
      "(1020, 'Auto,Food')\n",
      "\n",
      " (1001, <pyspark.resultiterable.ResultIterable object at 0x7fd690164400>)\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "spark = SparkSession.builder.config(\"spark.master\", \"local\").appName(\"PythonCSV\").getOrCreate()\n",
    "\n",
    "file = \"./InterestData.csv\"\n",
    "\n",
    "# read csv file includes header into a dataframe\n",
    "dataframe = spark.read.csv(file, sep=\";\", inferSchema=\"true\", header=True)\n",
    "\n",
    "rdd1 = dataframe.rdd.groupByKey()\n",
    "\n",
    "# to convert groupByKey() iterable into an actual list of strings (interest)\n",
    "rdd2 = rdd1.map(lambda pair : (pair[0], list(pair[1])))\n",
    "\n",
    "\n",
    "rdd3 = rdd2.map(lambda pair: (pair[0], (\",\".join(pair[1])) )) # convert list -> long string\n",
    "\n",
    "for row in rdd3.collect():\n",
    "    print(row)\n",
    "\n",
    "print('\\n',rdd1.collect()[0])  # just to show that the groupBy returned an iterator\n",
    "\n",
    "spark.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RECIPE \\#3: Using Apache Spark - ReduceBy Transformation\n",
    "### 1- Read Subsscriber Interest only data \n",
    "### 2- Use ReduceByKey to merge interest \n",
    "### 3- Convert the interest value list into a long string\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1nsm5oNx/2g2ACZuaGDZsiu2v4fGZ2M74rnfs80A3/YdN1cev+Xsk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Bzqq/cvb8HTM6ZOvsXsK1fF7XYHfTuV5zwRNgEAAACoRdhETaUIm8ZX3Cb3hdvjt8jd8qbFqXve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\n2LRLVWHTr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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "image/png": {
       "height": 900,
       "width": 900
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename =\"Using_ReduceByKey.png\", width=900, height=900)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1001, 'Techno,Sports')\n",
      "(1002, 'Auto,Techno,Sports,Food')\n",
      "(1003, 'Food')\n",
      "(1004, 'Auto,Food')\n",
      "(1005, 'Auto,Techno,Food')\n",
      "(1006, 'Food,Techno,Sports')\n",
      "(1007, 'Techno,Sports')\n",
      "(1008, 'Auto,Techno')\n",
      "(1009, 'Food')\n",
      "(1010, 'Auto,Food')\n",
      "(1011, 'Sport,Food')\n",
      "(1012, 'Auto,Techno,Sports,Food')\n",
      "(1013, 'Auto')\n",
      "(1014, 'Sports')\n",
      "(1015, 'Auto,Food')\n",
      "(1016, 'Auto,Techno,Sports,Food')\n",
      "(1017, 'Sports')\n",
      "(1018, 'Auto,Techno,Food')\n",
      "(1019, 'Food,Techno')\n",
      "(1020, 'Auto,Food')\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "spark = SparkSession.builder.config(\"spark.master\", \"local\").appName(\"PythonCSV\").getOrCreate()\n",
    "\n",
    "file = \"./InterestData.csv\"\n",
    "\n",
    "# read csv file includes header into a dataframe\n",
    "dataframe = spark.read.csv(file, sep=\";\", inferSchema=\"true\", header=True)\n",
    "\n",
    "# Convert value part -> Set('Interest') using mapValues\n",
    "# Make a union of all Sets belonging to same key using reduceByKey\n",
    "rdd1 = dataframe.rdd.mapValues(lambda interest: {interest})\\\n",
    "                .reduceByKey(lambda s1, s2: s1.union(s2))  \n",
    "\n",
    "\n",
    "rdd3 = rdd1.mapValues(lambda sett: ((\",\".join(sett)) )) # convert value part -> long string\n",
    "\n",
    "for row in rdd3.collect():\n",
    "    print(row)\n",
    "\n",
    "spark.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NOTES:\n",
    "### Using reduceByKey is better than GroupBy because of the smaller shuffle size. When using redyceByKey  some aggregation occurs inside the Spark cluster where as in GroupByKey some processing happens in PySpark driver at the client side.\n",
    "\n",
    "### Using Set {} in reduceByKey is better because it eleminate duplicate in (ID,Interest) pairs if there are any in InterestData.csv file.\n",
    "\n",
    "### Using mapValues is better than using map when the key stays the same after a transformation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## https://github.com/abbas-taher/Montreal-Python-69"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}