SQL2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# From Relational Algebra to SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Database Management System (DBMS)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "> A software system that enables users to define, create, maintain and control access to the database (Connolly and Beg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# SQL"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    ">  it is the standard language for relational database management systems (ANSI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# SQL (Structured Query Language) (from WIkipedia)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "it is particularly useful in handling structured data, i.e. data incorporating relations among entities and variables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The scope of SQL includes data query, data manipulation (insert, update and delete), data definition (schema creation and modification), and data access control. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Database Words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "acronyms=pd.read_csv('datasets/db_acronyms.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acronym</th>\n",
       "      <th>definition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SQL</td>\n",
       "      <td>Structured Query Language</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CRUD</td>\n",
       "      <td>Create Read Update Delete</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BLOB</td>\n",
       "      <td>Binary Large OBject</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CLOB</td>\n",
       "      <td>Character Large OBject</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PK</td>\n",
       "      <td>Primary Key</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FK</td>\n",
       "      <td>Foreign Key</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DDL</td>\n",
       "      <td>Data Definition Language</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DML</td>\n",
       "      <td>Data Manipulation Language</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ACID</td>\n",
       "      <td>Atomicity Consistency Isolation Durability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BI</td>\n",
       "      <td>Business Intelligence</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CAP</td>\n",
       "      <td>Consistency Availability Partition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CS</td>\n",
       "      <td>Cursor Stability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>DBA</td>\n",
       "      <td>Database Administrator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DBMS</td>\n",
       "      <td>Database Management System</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DCL</td>\n",
       "      <td>Data Control Language</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DWH</td>\n",
       "      <td>Database Warehouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ERD</td>\n",
       "      <td>Entity Relationship Diagram</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ETL</td>\n",
       "      <td>Extract Transform Load</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ISAM</td>\n",
       "      <td>Indexed Sequential Access Method</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>LOB</td>\n",
       "      <td>Large OBject</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MDC</td>\n",
       "      <td>Multidimensional Clustering Table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MQT</td>\n",
       "      <td>Materialized Query Table (IBM DB2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ODBC</td>\n",
       "      <td>Open Database Connectivity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>OLAP</td>\n",
       "      <td>Online Analytical Processing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ORM</td>\n",
       "      <td>Object-Relational Mapping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RDBMS</td>\n",
       "      <td>Relational Database Management System</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>RR</td>\n",
       "      <td>Repeatable Read - an isolation level supporte...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RS</td>\n",
       "      <td>Read Stability - an isolation level supported ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SP</td>\n",
       "      <td>Stored Procedure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>UR</td>\n",
       "      <td>Uncommitted Read - an isolation level supporte...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   acronym                                         definition\n",
       "0      SQL                          Structured Query Language\n",
       "1     CRUD                          Create Read Update Delete\n",
       "2     BLOB                                Binary Large OBject\n",
       "3     CLOB                             Character Large OBject\n",
       "4       PK                                        Primary Key\n",
       "5       FK                                        Foreign Key\n",
       "6      DDL                           Data Definition Language\n",
       "7      DML                         Data Manipulation Language\n",
       "8     ACID         Atomicity Consistency Isolation Durability\n",
       "9       BI                              Business Intelligence\n",
       "10     CAP                 Consistency Availability Partition\n",
       "11      CS                                   Cursor Stability\n",
       "12     DBA                             Database Administrator\n",
       "13    DBMS                         Database Management System\n",
       "14     DCL                              Data Control Language\n",
       "15     DWH                                 Database Warehouse\n",
       "16     ERD                        Entity Relationship Diagram\n",
       "17     ETL                             Extract Transform Load\n",
       "18    ISAM                   Indexed Sequential Access Method\n",
       "19     LOB                                       Large OBject\n",
       "20     MDC                  Multidimensional Clustering Table\n",
       "21     MQT                 Materialized Query Table (IBM DB2)\n",
       "22    ODBC                         Open Database Connectivity\n",
       "23    OLAP                       Online Analytical Processing\n",
       "24     ORM                          Object-Relational Mapping\n",
       "25   RDBMS              Relational Database Management System\n",
       "26      RR   Repeatable Read - an isolation level supporte...\n",
       "27      RS  Read Stability - an isolation level supported ...\n",
       "28      SP                                   Stored Procedure\n",
       "29      UR  Uncommitted Read - an isolation level supporte..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acronyms.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lower max_font_size, change the maximum number of word and lighten the background:\n",
    "wordcloud = WordCloud(max_font_size=50, max_words=100, background_color=\"black\").generate(\" \".join(acronyms['acronym']))\n",
    "plt.figure()\n",
    "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\") \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wordcloud2 = WordCloud(max_font_size=50, max_words=100, background_color=\"white\").generate(\" \".join(acronyms['definition']))\n",
    "plt.figure()\n",
    "plt.imshow(wordcloud2, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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s7KhVrtYxii3rYTIinNpWCsHkj5T6UatckI9t3FiKn1OoTEiCMxz49Zyp0us0/WQYgF/xKfKjo6PO4XQ67WzHxsZMNtxwww2g90rP3Aho+WTFCyP8u3btcjxs1nHHHXdU5Dj1JT1fI/r0Xhm+eOtb31oW1MoPI1OaddJm2j43N+ccNp66EW8Kq7GVHG699VZnxgfF1gg47WQyomw+AEw72q5MQGK8MhvnjBEe7nR/8I+dWDDjwSaE4DZUwfK5l59Y1lp+7NCy/UZ2jB2rlS1MNmeKVO5AaboX489MxutefP6B1Zq37hw9y3qS+Rpuypw4ccK8dLU14kcBY6yZwsVjDAW88Y1vXBYOqK6Q8WsKMsWVnvV1112H1752fTN13Pbf2G1sMiJt9iu3jI0zMabMZDzpI0eOOPv6tzYB3cBbg5Hx/lbKRjFkTNnN1/Tk5nOWVZPoe8Wyfa924t1Lsbz1tMHwDOPU7LOJVQctRMH+01szYkHvtPKGXS0+nZ2dyw4bj3nZQZc7bIveM7/G0+Ok4DFeazzv6mroqfKPcWLmZ9iC3u5zzz3nah4ywwnNmq/c3t5ebV55//nnn3fi4+wPb/QxKURRxuPqhTzjVTBV3qCau+/LTvzUxIK5NV/bTUy5sionvHHyxpyJ0aZ2Xr4Ub7303WXPMn9wX2XRpr02N9UYlzbiyXhvz0duLce6V2ss1tEL9oN/TAzPmL7wpiBTEEMUDA2Yr9WMrVKQTaLove1tb3N2TTyZwm1uevHr92mnlXjU+xWcdfBGGG9uUZQpskzVHqixhVvawnIMBXCmhkl8UKUymbAE7TMxXJ6/4IILnPb4mmLO9uv1rE0/2YYRWrbz5je/2amTdbMvJoZMD57JlHN29G9NAvKMV0HUce3NztmVvD8KEePJZtrbwmPfcmYusFDvR//eKUvRzj70d+XZEQx1VCaK2+w9X6g81LTX9NYzF73FuelG8TTT7VZrgLFsM42NMzr4xxt5PM7Em5icjWFS0EIUtJsiy7nFDBNQYLjlX3XiTTPOpGAezkIwsx6Yj2L+xBPLw07V5WvtU9gZaqhM5it+5THz2syAqGybYQvjSRsvn7M2Kqe2MTzAY7Sf8eLKVK9I8oPATJGj0LKdWokeOL12kxSiMCTcbeUZr8IpsWWPc3Yl788IET1PzhGm58i5v8ZjNjMeKIoUNHPDjpXyBiBnTEz+7w84N+oqzTDlzbHyfrbizv/J1+VzJjO3FflYP9sx+dgu5wpXPllnzpkqsg/dVr5B6dh5+ClzyvngMPm5dROeKRe26AU9U84coDAZL5nmcZ8izERx4WPJFEuTh1vmoZdqPNvKbs3Pl25y8lhlGe5TQOm1mptyPM+6aUdlMuV4jLYYj5P7bJu2m8QPBHPe2MZznNvMmRTmHI/xNWPW1U/qVbbHfCambLY8dtdddy3jwD6w/koGld84WKdmUZCc+xQrFotF99ntzkkvVMl7AmaNjuqHTprdMj357FOlh2dWqzuz6yJn+tZqeXSuNQTe8Y53OGEXesWVD7vU2/pK3ne99QQpvzzjII2WBbZ2vPHXyjNJzHxrC8ySCRYQYOzdxL95Q0+pPgIS4/p4RT536lWXOQwYgqkMdUQejACUb2zycfHK8IXQuCOgG3juOCnXSQITnyvNNBAQEagm8M1vfrP6kPbrICDPuA5YyioCIiACXhGQGHtFVvWKgAiIQB0EJMZ1wFJWERABEfCKgMTYK7KqVwREQATqICAxrgOWsoqACIiAVwQkxl6RVb0iIAIiUAcBiXEdsJRVBERABLwiIDH2iqzqFQEREIE6CEiM64ClrCIgAiLgFQGJsVdkVa8IiIAI1EFAYlwHLGUVAREQAa8ISIy9Iqt6RUAERKAOAhLjOmApqwiIgAh4RUBi7BVZ1SsCIiACdRCQGNcBS1lFQAREwCsCEmOvyKpeERABEaiDgMS4DljKKgIiIAJeEZAYe0VW9YqACIhAHQQkxnXAUlYREAER8IqAxNgrsqpXBERABOogIDGuA5ayioAIiIBXBCTGXpFVvSIgAiJQBwGJcR2wlFUEREAEvCIgMfaKrOoVAREQgToISIzrgKWsIiACIuAVAYmxV2RVrwiIgAjUQSAUYpw7drCOLiurCIiACNhHIPBiTCHOjx6zj6wsEgERWBeBqL2vAy3GEuJ1XesqLAJWE4ja+zuwYhy1gbL6XSPjRMAjAlF6nwdSjGsOUH4RsbYujy4JVdtqArF0B5BfdNVssVBAOp12lVeZ7CeQTCbBMTWp5vvdnAzRNnBivNLAFOamEe8eDtHQRLsr8c6NKCzMuYKwmJ1HR0eHq7zKZD+B9vZ25BYXlhm60vt+WaaA7wRKjFcdkMUs4j1DAR8OmW8IxHuGgey82V11W1xcAN/ASuEgwA/WQjZ7SmdWff+fkjt4BwIjxmsNRDGfk2ccvOtvRYtjnRtRLC59VV0xI0/kFuUZrwooWCfb2toQK+ZrGr2WDtQsFJCDgRBjNwNQzBeR2n5xQLDLzLUIpM64EMWcOzFO5LLYNKxvRWsxDcr5ocFBxBdP9YyN/W70wOQN0tZ6MXYLvjA1jtRZVwaJvWxdhUBq9+tRmJ5YJcfSqcLkGDZv3rx0QK8CTeD0LZvB9/Nqya0urFaHbeesFuN6gBdziyjMzyK59QLbGMueOgkkBrYBiQyKWXc38Dj2ufl5DA4O1tmSsttGoLu7G/FYzNXY16MPtvWzlj3WinEjoIvzWWT23FCrnzoWIAKZC96EwsxUXRYn5qawbevWusoos30EdmzfjpjLb0S0vhGdsK/XJYusFONGAecnR5E+/0bdyLP1anNhV6yjF5nXvBMMPdSTChMj2L5tm27k1QPNsryZTAZn7tyJ4sRIXZY1qhd1NdKCzNaJ8brA5vPIT4yh48c/0gJ0asILAh3X/gLyk2Ng6KGulM+jOH4cF15wfl3FlNkeAuefdy4KEyfqH/uQeMhWifG6hPjkNZUfP4HUziuQ3Hy2PVeZLHFFIDH0KmTOfzPyE6Ou8ldnKowdx+ZXvAL9/f3Vp7RvOYHe3l5s37YdxfHGF/1qhn74ickaMW4ayGIBueNH0Pnez4NPcSkFgwDDE13v+X3kRo4A+dpzTNfsSbGAwrGDuPr1rwPnqioFgwDDE6+/6ioURw41PvYnu9o0HfEBnRVi3GyAhZlJFGZm0PX+L8FZ48AHsGqyDgLxBLpu+n3wGQ/G/deTitMTiE+N4dqrrwbXOFCym0AsFnOEOL0wg/zEiaYY22w9aYpRLirxXYy9ApcfPQ5ketD5k5+UILu4EHzLQiH+t7+HWO9m5EaONsWMwokj6EgAl7/2MglyU4h6UwmF+Korr0BXWxr544ea2ohXutJUI6sqixWLxWLVsZbteg4sHkdqeAuKs6OY+urNKEw355O3ZYBC3pATmrjp90tCfOQAULFS17q7Ho8jvmkbZnIF3HvffZifd7fOxbrbVQWuCJjQBIW4ePjF5o59hQXJoS1I9Afj6UzfxNhzIa4YkET/IBIbujD5Jz+H/LHnKs7opV8EeLOOMWKGJhyP2COfIL5xE4pd/bj73nsxPr76U11+sYhau7xZxxixE5qgR+zR2BuuQRFkX8S4lUJsBiTe1Ytk/xAWnr4Pc3d+Tl6yAdPiLb1hTl/jrAnerFtvjNiN+Rz72MBmHHj5IB5+5FF5yW6geZCH3jCnrzmzJkYONS1G7MbUIAhyy8XYDyEuD1Y8jkTfIBJdPcg++NfIPnKHPOUyHG9f8BFnPlnHBzo4j9iZvtborIlGTGXYom8IsZ4BPPvcs3jxpf3ylBvh2EAZPuLMJ+v4QIczj5jT11o59idttl2QWyrGvgpxxUUUS6YQ7+5DfEOXs1Rf9qnvILf/YRQnj6EwcdTxmosLsxUl9NItAc5e4ZRCrkfMZTC5+hoX/eFaE3zEmU/W1f1Ah9vGXeTj2FOQi509KCKGAwcP4NjxEczNzWF2dtbZ5nI5FzUpSzUBzl7hutJcj5hTC7n6Ghf94VoTfMSZT9b5Ofa012ZBbpkY2yLE1RdQLJ1BvKsPsWQcsVgcyLQhnm4HEqnqrNp3QyC/WPqFjuy8sx4xl8Hk6mtuF/1x00Sz8jhj392PQiqDYiyBeCaDZCqNWNz3SUbN6mJL6+FPJfEXOrgwPNcj5jKYXH3NtrG3VZBbIsa2CnFLr1Q1JgIiYA0BGwXZcxdAQmzN9SdDREAEThKwUZc8FWMbO6yrUQREQARIwDZ98kyMbeuoLj8REAERqCZgk055JsbVnda+CIiACIjAygQ8E2MbA+QrY9AZERCBKBKwSac8E2MOrE0djeKFpj6LgAisTMA2ffJUjInBtg6vPDQ6IwIiEBUCNupSSxZ8ZceZ8qONr+Lv1UXiPI3X2YV4JoZYKgkk04ilOoFEu1dNhrvewgKKC5NALoviYg6FhRgKUxO+P3lVC7rzNN6GHswnNwDJlPPX1pZGKpWolV3H1iCQyxUwP7+A4uICkFtEW34OxWl/n7isZbKNQkw7W/LQhwFizZ3LRAKJnj4kNqQQy2wARr8NjN8FZA8u/eW0wpcZt7q2yV4gs2Xpr/dqoP9NKGZnkJ9ZdH6j0I91Ccp9SCQQ796I+UwPkm1t+JenxvHgMxMYmVjA8fGss52e0+PQZV51vOhsT2KgJ43B3oyzvWhnNy7Z3YdF/mp7dgKYHPFlTYrKLtgqxLSxpWLMBn0V5Fgcid4+JPv7gONfB459FZh8ACjqzVd5wXryuucKYPDdwNB7kRsbR35sFM76mZ40VqNSPurONSl6h/Cdh0/gzh+O4Mn9U8gXfFvOu4aR4Ty0Z3s3rrlwANddNID45DFg/Hhrx/4kVpuFmCa2XIzZqB+CzEWBkkMbEZvaC7zwUWBO6xr78tan17zjM463vHj4MAoz056bwbFf6D8d+16axhf/bj8OjWihec+h12hgsCeNn3vzVlx2dh9wdD8wO1kjlzeHbBdi9toXMWbDrRTkRP8Akr0dwJM/BYzf581oq9b6CHRdDOz5e+Qn5pE7MVJf2Xpy9w1jYcMgfuvPnsGjz0/UU1J5PSJw5umd+NTP7kJm5gRiY0c8amWp2iAIMa31TYzZuOeCHIshNTyMeFsWePQaYP6lpRHSK/8JpDcB596FQmEAi0eONPend2IxFAbOwGSsA7/ypSdwdDTrf39lQZlAf1can/nwbgy1LSJ+fH9zx77cSrBmc/kqxmTmpSCnNm1CPP4y8Ng1QN77r8MV14BeuiWQ6AR2/QUKmcuw+PIBt6XWzFcY3IoDsyl87Ev/irlsfs38ytB6Au2ZBH79PTtxwZYUYoebHzYMikdsyHs+z9g0tNLWK2AMTTgesYR4JfR2HOeH5FPvQRyHkNw40Byb+oYdj1hC3BycXtXCD8lP/cWzODwdR7FvU1Ob8UpXmmpkVWW+izHtaTY452YdY8QMTcgjrhpyC3c5RvtuQKKnA/y9uvUk52bdhkEnNCGPeD0kW1OWY/TxLz+JhQ0D6x57Y3Gz9cTU6/XWCjFmJ5sGMBZ3Zk04N+sUI/b6+mle/QtHgMevR2pwAGj0lzZicWfWBG/WKUbcvKHxuqbRqQX86h/9K/L9Wxof+5NGNk1HvO50jfqtEWPa1gyQnEfsTF/TrIkaw235oelHgNHbkOxvMFzRM+BMX9OsCcvHuYZ5z788g71PjCHWN1zjrLtDzdAPdy15k8sqMWYX1wU0kSg90MF5xErBJPDiryLR0w0+qlxXSiScBzo4j1gpmAT+6PYfIdc5UP/Yr1c3LMFlnRiTS6OCzEecnSfr9ECHJZdXA2YwXHHkD5DoqS92zEec+WSdHuhogLklRRiu+PsHjqDQVd83o0b1wpJul82wUoxpXSOAudaE84hzuXt6EUgCR7+KePeGukznWhN8xFkp2ATufHAEuc4+151oRCdcV97ijNaKMTnUA9pZgYuL/nCtCaVgE5jZhxhyiKUzrvrBseeiP1xrQmK+k6kAABPVSURBVCnYBF46MotcIeZq7OvRhyBQsVqMCdAt8HhnV2n1NS36E4Trbm0bT9yKeLe7UEVsQ4+z+poW/VkbaxByfH/fKGJd/aua6lYXVq3EspPWizF5uQHP9YidZTAtAyxzGiQw+V3E0+7Kcj1iLoOpFA4Cj744hYVE24qdcaMHKxa2+EQgxJj81hoAZ2F4rkesFA4C2YOIuZ1vnEw56xCHo+Pqxcj4Agqx2r97sZYOBJleYMSYkFcdiGS6tDB8kEdDti8R4Adr2uWvrSRTzsLwS4X1KsgEjk9kEc+c+rVo1fd/kDt80vZAiTFtXmlAnJ9KkmccgkvyZBcWjiCW7HDVH/5UEn+pQykcBMamFpFOLZ9nvtL7Phw9LvUicGJMs2sODH+zTj+VFJ5rk+tVuAwa8zfr9FNJ4Rl6rleRTC5JU833e3i6W+7JUo/Lh4LxIioDFIzRkJUi4A2BKL3PAyvGHPooDZQ3l7pqFQF7CUTt/V37lqW943OKZRwwJREQgfARSPQPha9Tq/Qo0J6x6ZcE2ZDQVgREIKgEQiHGQYUvu0VABETAEJAYGxLaioAIiICPBCTGPsJX0yIgAiJgCEiMDQltRUAERMBHAhJjH+GraREQAREwBCTGhoS2IiACIuAjAYmxj/DVtAiIgAgYAhJjQ0JbERABEfCRgMTYR/hqWgREQAQMAYmxIaGtCIiACPhIQGLsI3w1LQIiIAKGgMTYkNBWBERABHwkIDH2Eb6aFgEREAFDQGJsSGgrAiIgAj4SkBj7CF9Ni4AIiIAhIDE2JLQVAREQAR8JSIx9hK+mRUAERMAQkBgbEtqKgAiIgI8EJMY+wlfTIiACImAISIwNCW1FQAREwEcCEmMf4atpERABETAEJMaGhLYiIAIi4CMBibGP8NW0CIiACBgCEmNDQlsREAER8JGAxNhH+GpaBERABAwBibEhoa0IiIAI+EhAYuwj/GVND74LeF0RuHJm2WHtiIAh8PGbzsRd/+1y/OHHLjCHXG9ZhmVZh5KdBJJ2mmWxVRTLeAdw9M+Bp366eYamh0t1se5mpUsPAJktwNg9wGPXNavW0NfzH96+A2+94rRT+vnyyBye2j+NP/nWfhwdy55y3usDHW0Jp4lManUf6jM/fw4u3NmL4xMLuOmWf1lWxtRx7o5ufPpD5yCTjuPP7zqAP/32j7w2X/WvQWD1UV2jcCRPG7FMdtvTfX5A0Kve9VV7bAqwJUN9mZrWbx5ox7WvHsQXf/kCUMzCll5/wYDjPdOD5mul1hKQZ9xa3t60ttIHxAOne9NehGq9/lf2Or2l+P7U6zfjsnP60b0hiV9516vw7z79kJUkfvUPnljTrsdfmMSb/vP3l+Xr60qV9ytflw/qhacEJMbNwLvtFmDTz5RCAoVZYOL7y8MCbVuB3V8H2ncCqY2lFueeBV7+X8DLn1/ZAsaRt/46kN68VC57EDjyJ8BLnwB4/uyvL5Xf+JaSh3zi74B9bwUufhTYcN6pIZU9twGdF5XsZWnWOX7f8rDLa54p2fvcR4ChdwPdl5bamXkM2PcWYH7/UrsReEXx4t8tH9jtCDK9ZHqP9z0y4sRwd5y2AS8cnsGHP/tImQY9TKbf+erTTr63X3ka/v3bdjj5jo5mcdHOXuc8RZH1njHcDtbLlF0oOPlYtlZIhPnP2dbtfDAwHPF/v3MQf/vdw05ZxoXpwVfb45ys+Hf7py9zwhRs49Kz+50y5jTt5N8Xb30BN1wyjFr9M+0wfGPrB5PpTxC2ClOsd5Q2/xKw9b8uCRu91L5rAR5nohBf8E8lMTNCzOMU5ld9DqCQr5SGbyqJaWU5xoDZHoV4rRQvvbFRGVK58PsARZv1mMTXw+8FzrvbHFna0kYjxDxKcT/vrqXzEXv1hb99odzjay4adF6bGK7ZljOcfFHtZW7e2O4IOuO1/GOix22EmPs8vntrF2754O6TtSxtmM946Dw62JPGB2/cVg6dmLjwSvaYmkzb1faZ82b74qFZ5yUFebgihHPeq3qc48d8iJ8b28K0lRivdzQpvEz0Lu+PAT/YBkw+sFTrtk8uCR+9TOZ55Cpg8UQpDz3qlRJvvNF7Zn5TtylHoT7+V6Xjpjw9YuajV1wrUcCNsJq8tJfeLhP7wg+PykRPf/9vl+o1/eIHSURTLS+1XhQUQXqt7/3kg/joFx53in//iVHHC2VYhH/3/PC4c5wCWCvxPPPx5hsT62QYpdH0u197xmnflKdHzPrpbfOGpUmmDYZt+CHAdMcDR81pbddBQGK8DnhO0fmTd6HpXfKr/aYPAg9fthR+6L6k1AIFz4QkJr4LjH6rdLzSQ622hfnbzgB2f60UfrjkpaVwRXVeN/sUcCYKrBFshhv2f2qp9MYqIR+7uxQSYY5jf7mUr+fKpdd6VTeBT/zxk074gaEPpnsfOu6EAxg6YHiDYYaVEsMCFE8mzoJgmIKJYQ4vEj+A+OHBdPGuUmjljZducvYnZ3K4/5ERL5qNXJ0S4/UO+XO/WJo6xnroMTKEwCll1WI1/9LylqZKU46WH6zaqxVSqMrS0G725eXF6GHXmzovrLdEKPJXfk2fnc833KdKD5te5n/56bOcuKwJHdRT8cJi43a4bed7+0adrAyR0N5dWzud/ecPTaPothLlW5WAxHhVPC5Pcg4vQwn86k+vk97ujs8sL9y2bfl+148t36+1Vx1SYAiCN/7WmzJVX2fdxJ/X22ZIyt/89h3lnjzwryWBWm/M1Hz1p5fJsAXDAwwTuE3pVGn+cXax4LZI3fnogc8vlOqnvSa+rRBF3ShXLCAxXhGNyxOcmcC/7I9KX/2nT8ZfzU03E8bgjS9zU49ec/9PlBow8drVmsuVvso65auFtLJc/GR8sdorN3mmHy294k1G2szEGDFnbDDxg8SEUkpH9P8kAXqDZiYFDzFUwJkUTEakBrozzgwLes+NPCXHuijsLH/1hSuHKSiE5kk6PqBiYrfmRptj1Dr/dW9IOXZUfhN4cn/pOuTNQyaFKNYJuaq4prZVAWlol7MT+FeZRv+htLf/t4Cey0pP7XFmAv9Mcm6OVcRrzXGzpRfM0AdnOvBvpURBp9jzBhwf/qCHzrh0deJ0ODMFz0yDq8xz+CuVe3oNOPHbahCM0f5axVzeh58dL8+OYLjBJE5PcxN2MOU5f/nPf+NiU3zFLetlTLkyrsxjlTfaViy8ygnerPvAjdvQlo7jvdef7vzRQzdT5ugF88k+kxSiMCSas5VnXC9HCiiT8Vaf+6XS7AlznLMdKIaMJTNRFB+7YXke5qWAPvWB0oyIUs7Sf1MP9x67fmmmA/dZhjMsqhNvwHE2BxPLGw/Y5DO2cv+RK0r2mVkZPEbR54wJY7Mpx21l2YWKu+aVryvzh+D1SmEHesOcxfDL//OxZXN/KVa3/dNhZ24wu0+x5iyHl0/MOTTGphaXUaFwViZTnp4mE7dspzqfKfNPj58ABdycp12f/atnl9nEvLXCFrXi3JX2/cM/H3XaN3Y893Lpxh33+U2AbZmkEIUh0ZxtrFgshif+zpiqUngIvK6I7FNrP+WW2XWRE2cNT8ft7cnnf+k8Z/4zP3DMuhdeWHvnZy9HLGJvZ3nGXlxJqlMEQkiAcXM+iML02HMTIeyhv12SGPvLX62LQGAImFkfzYhPB6bTLTRUN/BaCFtNiUCQCXziK08G2XzrbZdnbP0QyUAREIEoEJAYR2GU1UcREAHrCUiMrR8iGSgCIhAFAhLjKIyy+igCImA9AYmx9UMkA0VABKJAQGIchVFWH0VABKwnIDG2fohkoAiIQBQISIyjMMrqowiIgPUEJMbWD5EMFAERiAIBiXEURll9FAERsJ6AxNj6IZKBIiACUSAgMY7CKKuPIiAC1hOQGFs/RDJQBEQgCgQkxlEYZfVRBETAegISY+uHSAaKgAhEgYDEOAqjrD6KgAhYT0BibP0QyUAREIEoEJAYR2GU1UcREAHrCUiMrR8iGSgCIhAFAhLjKIyy+igCImA9AYmx9UMkA0VABKJAQGIchVFWH0VABKwnIDG2fohkoAiIQBQISIyjMMrqowiIgPUEJMbWD5EMFAERiAIBiXEURll9FAERsJ6AxNj6IZKBIiACUSAgMY7CKKuPIiAC1hOQGFs/RDJQBEQgCgQkxlEYZfVRBETAegLhEePiIpDstR64DHRJINEJFBZcZc7lCuhsT7rKq0z2E2jPJJDLF+03tMkWhkeM87NAZkuT8ag63wikN6GYm3XV/Pz8AgZ60q7yKpP9BPq6UljMF+w3tMkWhkeMUZAYN/ni8LU6frAuzLkyobi4gMHejKu8ymQ/gcGeDAoFecb2j9SKFsYlxiuyCeAJesYFl95RblGecQCHeCWT+7tTSMRjK50O7fHweMbJLqDv2tAOVOQ61n2l25Ax2gpzuGhnd+QQhbXD5+7oQVs6Edburdiv8Igx4kD/m1bsqE4EjMDGt6EwNenK6OLUGC7Z3ecqrzLZT+DyczciFj3HmAoWosS77z1XhKhDEe1Kxy4UY20oZl3GjHOLWJzPYs92ecdBv2JOH2pHWzpcsuR2TMLV62Q3MHST274rn60Eht6HwuRMXdZlshO45sKBusoos30E3nDxEFKJCLrFQMg841gSGP5p3ciz7z3m3qLUAPCKm5GfGHdfhjknR3DdRQMY1BS3+rhZlLtnQwpvufIVSCXD5SO6RRy+XsfbgFd+1m3/lc82AttucYS4mFusz7J8HvHJY/i5N2+tr5xyW0PgZ37iDCSj6RQ7YxA+MaZ3zBt5XRdbc5HJEJcENuwBht6P3NiYywJV2caP49LdvTjz9M6qE9q1ncC2TR247seGkU6FT5Lcsg9nz+kdn/stIL3JLQfl85sAwxPn3I7c8aNAPt+YNcUCYscP4FM/uwv9XXoirzGIrS/F8MTvfOhspCMaKzbEwynGsQSQ6AbOvwfgGgdKdhPgt5lzvon8XBL5iQa9YtPDmQlkZk7gMx/eDa5xoGQ3AT7c8cmf3e18eEZxOlvl6IRTjNnDeBpo2w7s/ksJcuWI2/aaQnz236CQeCVyx481xbrY2BEMtefw6+/ZKUFuClFvKqEQ/+bP7Mb2TR1IRtwrJuFYsVgM90PghXlg7lngsTcAC0e8uapUa2MEnNDENx0hXjz0MuD28Wc3rcXjKA7vwOHpOD7+5ScxOuVuBTg3VSvP+gkwNEGPmEKcieDTdrUIhl+M2Ws+DFKYBh55HTCzrxYHHWs1Ad6sO+d2JzTheMQe+QTFvk1Y3DCAj37pCbx0xN0qcK1GEbX2eLPuUx86G31daXnEFYMfDTE2Hc7PACO3Ai98TF6yYdLqLb3hbbeUZk0cP7r+GLEL++Ndvcj3b8HeJ8bwR7f/SF6yC2ZeZKE3zOlr1//YsPNgR9RjxNWMoyXG7H0xBzB0cfgPgCN/Kk+5+orwar9jFzD0vvIDHc70tUZnTTRiYzyOWN8w8p0DuP2BI7jzwRF5yo1wbKAMH3Hmk3VvvfIVYGg4ytPXVsMXPTE2NBi6KGaBQrbkLU/cD2QPlv4YW85Pm5za1kOAs1c4pZDrEXPbfSWw8W3OWhN8xJlP1tX9QEc97a+RN5ZModA1gHxnH3KFGL63bxSPvjiFkfEFHJ/IYmxqEXPZBqfWrdF22E9z9goXhud6xFwGk6uvXXHuRmetCd6gi+qTdW7HPbpivIxQAWAIo5gHeHc/ngFiqWU5tOOSQGGh9AsdC3POesROuH5q0vWiPy5baUq2WDqDWFc/FhJtKMSSSGTSSKdTSEb0cdz1QuVPJS3mCsgXis56xFwGU6EI91Qlxu5ZKWcNArljB5Efbc6UtBrV+3ooObQFif4hX21Q49EhEN55xtEZQ197GlbBCmu/fL1Y1PiqBCTGq+LRSTcEwiZcYeuPmzFUHv8JSIz9H4NQWBAWAQtLP0JxUUWsExLjiA24l90NupAF3X4vx1Z1e09AYuw940i1EFRBC6rdkbq4Qt5ZiXHIB9iP7gVN2IJmrx9jqja9JyAx9p5xJFsIisAFxc5IXkQR67TEOGID3sru2i50ttvXyrFSW/4TkBj7PwahtsBWwbPVrlBfDOrcqgQkxqvi0clmELBN+GyzpxmMVUfwCUiMgz+GgeiBLQJoix2BGDQZ2VICEuOW4o52Y34Lod/tR3v01fu1CEiM1yKk800l4Jcg+tVuU+GpslATkBiHenjt7FyrhbHV7dlJXVbZTkBibPsIhdS+Vglkq9oJ6TCpWy0kIDFuIWw1tZyA10Lpdf3Le6M9EVgfAYnx+vip9DoJeCWYXtW7zu6quAisSEBivCIanWgVgWYLZ7PraxUHtRNtAhLjaI+/Nb1vloA2qx5rwMiQyBCQGEdmqO3v6HqFdL3l7SckC8NMQGIc5tENYN8aFdRGywUQkUwOKQGJcUgHNsjdqldY680fZDayPbwEJMbhHdtA98ytwLrNF2gYMj4SBCTGkRjmYHZyLaFd63wwey2ro0pAYhzVkQ9Iv1cS3JWOB6RbMlMETiEgMT4FiQ7YRqBaeKv3bbNX9ohAIwSSjRRSGRFoNQEKMFMsmUaif6jVzas9EfCcQKxYLBY9b0UNiIAIiIAIrEpAYYpV8eikCIiACLSGgMS4NZzVigiIgAisSkBivCoenRQBERCB1hCQGLeGs1oRAREQgVUJSIxXxaOTIiACItAaAhLj1nBWKyIgAiKwKgGJ8ap4dFIEREAEWkNAYtwazmpFBERABFYlIDFeFY9OioAIiEBrCEiMW8NZrYiACIjAqgT+PzWr96pMn16/AAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# ACID\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Atomicity\n",
    "> Atomicity means that you guarantee that either all of the transaction succeeds or none of it does. You don’t get part of it succeeding and part of it not. If one part of the transaction fails, the whole transaction fails. With atomicity, it’s either “all or nothing”."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Consistency\n",
    "> This ensures that you guarantee that all data will be consistent. All data will be valid according to all defined rules, including any constraints, cascades, and triggers that have been applied on the database."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Isolation\n",
    "> Guarantees that all transactions will occur in isolation. No transaction will be affected by any other transaction. So a transaction cannot read data from any other transaction that has not yet completed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Durability\n",
    "> Durability means that, once a transaction is committed, it will remain in the system – even if there’s a system crash immediately following the transaction. Any changes from the transaction must be stored permanently. If the system tells the user that the transaction has succeeded, the transaction must have, in fact, succeeded."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![Image](images/sqlite.gif)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The SQLite file format is stable, cross-platform, and backwards compatible and the developers pledge to keep it that way through at least the year 2050. SQLite database files are commonly used as containers to transfer rich content between systems and as a long-term archival format for data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "There are over 1 trillion (1e12) SQLite databases in active use."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The same thing can be done with an enterprise client/server database, of course. The advantage of SQLite is that it is easier to install and use and the resulting database is a single file that can be written to a USB memory stick or emailed to a colleague."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Demo time\n",
    "Credits\n",
    "https://towardsdatascience.com/a-quick-guide-to-relational-algebra-operators-in-dbms-1ff2ddecaad7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# A simple database"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/4320/1*0OyX0b7yj516YRZ0Qkr5Dw.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Create or connect to a database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "%sql sqlite:///datasets/ra2.db"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Populate Tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n",
      "Done.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- Create Member table\n",
    "CREATE TABLE member(\n",
    "   member_id INT PRIMARY KEY,\n",
    "   name VARCHAR (50) NOT NULL,\n",
    "   date_of_birth DATE NOT NULL\n",
    ");\n",
    "\n",
    "-- Add records to Member table\n",
    "INSERT INTO member VALUES (1, 'Alice', '1995-03-03');\n",
    "INSERT INTO member VALUES (2, 'Bob', '1993-03-05');\n",
    "INSERT INTO member VALUES (3, 'Charlie', '1997-10-21');\n",
    "INSERT INTO member VALUES (4, 'Mike', '1992-09-16');\n",
    "INSERT INTO member VALUES (5, 'Katie', '1997-10-21');\n",
    "\n",
    "\n",
    "-- Create Book table\n",
    "CREATE TABLE book(\n",
    "   book_id INT PRIMARY KEY,\n",
    "   name VARCHAR (50) NOT NULL,\n",
    "   author VARCHAR (50) NOT NULL\n",
    ");\n",
    "\n",
    "-- Add records to Book table\n",
    "INSERT INTO book VALUES (1, 'Inferno', 'Dan Brown');\n",
    "INSERT INTO book VALUES (2, 'Ash', 'Malinda Lo');\n",
    "INSERT INTO book VALUES (3, 'Fences', 'August Wilson');\n",
    "INSERT INTO book VALUES (4, 'Origin', 'Dan Brown');\n",
    "INSERT INTO book VALUES (5, 'Inheritance', 'Malinda Lo');\n",
    "\n",
    "\n",
    "-- Create Borrow table\n",
    "CREATE TABLE borrow(\n",
    "   member_id INT REFERENCES member(member_id),\n",
    "   book_id INT REFERENCES book(book_id),\n",
    "   borrow_date DATE NOT NULL,\n",
    "   return_date DATE NOT NULL\n",
    ");\n",
    "\n",
    "-- Add records to Borrow table\n",
    "INSERT INTO borrow VALUES (1, 1, '2020-03-02', '2020-03-12');\n",
    "INSERT INTO borrow VALUES (3, 5, '2020-03-05', '2020-03-15');\n",
    "INSERT INTO borrow VALUES (3, 3, '2020-03-10', '2020-03-20');\n",
    "INSERT INTO borrow VALUES (4, 2, '2020-03-13', '2020-03-23');\n",
    "INSERT INTO borrow VALUES (5, 4, '2020-03-13', '2020-03-13');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Projection (π)\n",
    "Projection is used to select the required columns of data from a relation. Note that projection removes duplicate data (tuples)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Member IDs of members who have borrowed books."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*wkOHHndu-7R3_5lqoYieCQ.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1,), (3,), (4,), (5,)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT distinct(member_id) FROM borrow;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Selection (σ)\n",
    "Selection is used to select the required tuples of data from a relation. During selection, we can specify certain conditions that the data must satisfy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Details of the members who were born on 21/10/1997."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*l9gUlavI2J5AtNKuJzgrUg.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>name</th>\n",
       "        <th>date_of_birth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(3, 'Charlie', '1997-10-21'), (5, 'Katie', '1997-10-21')]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT member_id,name,date_of_birth FROM member where date_of_birth == '1997-10-21';"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Rename (ρ)\n",
    "Rename operation allows renaming a certain output relation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Rename the Member relation as LibraryMemebr."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*kpMwm5Eov4ZiZUm_Q-QxTA.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>name</th>\n",
       "        <th>date_of_birth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Alice', '1995-03-03'),\n",
       " (2, 'Bob', '1993-03-05'),\n",
       " (3, 'Charlie', '1997-10-21'),\n",
       " (4, 'Mike', '1992-09-16'),\n",
       " (5, 'Katie', '1997-10-21')]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "WITH library_member AS (SELECT * FROM member) \n",
    "\n",
    "SELECT * FROM library_member;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Cross product (✕)\n",
    "Cross product is used to combine data from two different relations into one combined relation. If we consider two relations; A with n tuples and B with m tuples, A ✕ B will consist of n.m tuples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Member ✕ Borrow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/2000/1*j834czgYUPkNK2uI6f6VdQ.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>name</th>\n",
       "        <th>date_of_birth</th>\n",
       "        <th>member_id_1</th>\n",
       "        <th>book_id</th>\n",
       "        <th>borrow_date</th>\n",
       "        <th>return_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>4</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>5</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "        <td>4</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "        <td>5</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>4</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>5</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>4</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>5</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>4</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>5</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Alice', '1995-03-03', 1, 1, '2020-03-02', '2020-03-12'),\n",
       " (1, 'Alice', '1995-03-03', 3, 5, '2020-03-05', '2020-03-15'),\n",
       " (1, 'Alice', '1995-03-03', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (1, 'Alice', '1995-03-03', 4, 2, '2020-03-13', '2020-03-23'),\n",
       " (1, 'Alice', '1995-03-03', 5, 4, '2020-03-13', '2020-03-13'),\n",
       " (2, 'Bob', '1993-03-05', 1, 1, '2020-03-02', '2020-03-12'),\n",
       " (2, 'Bob', '1993-03-05', 3, 5, '2020-03-05', '2020-03-15'),\n",
       " (2, 'Bob', '1993-03-05', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (2, 'Bob', '1993-03-05', 4, 2, '2020-03-13', '2020-03-23'),\n",
       " (2, 'Bob', '1993-03-05', 5, 4, '2020-03-13', '2020-03-13'),\n",
       " (3, 'Charlie', '1997-10-21', 1, 1, '2020-03-02', '2020-03-12'),\n",
       " (3, 'Charlie', '1997-10-21', 3, 5, '2020-03-05', '2020-03-15'),\n",
       " (3, 'Charlie', '1997-10-21', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (3, 'Charlie', '1997-10-21', 4, 2, '2020-03-13', '2020-03-23'),\n",
       " (3, 'Charlie', '1997-10-21', 5, 4, '2020-03-13', '2020-03-13'),\n",
       " (4, 'Mike', '1992-09-16', 1, 1, '2020-03-02', '2020-03-12'),\n",
       " (4, 'Mike', '1992-09-16', 3, 5, '2020-03-05', '2020-03-15'),\n",
       " (4, 'Mike', '1992-09-16', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (4, 'Mike', '1992-09-16', 4, 2, '2020-03-13', '2020-03-23'),\n",
       " (4, 'Mike', '1992-09-16', 5, 4, '2020-03-13', '2020-03-13'),\n",
       " (5, 'Katie', '1997-10-21', 1, 1, '2020-03-02', '2020-03-12'),\n",
       " (5, 'Katie', '1997-10-21', 3, 5, '2020-03-05', '2020-03-15'),\n",
       " (5, 'Katie', '1997-10-21', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (5, 'Katie', '1997-10-21', 4, 2, '2020-03-13', '2020-03-23'),\n",
       " (5, 'Katie', '1997-10-21', 5, 4, '2020-03-13', '2020-03-13')]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM member,borrow;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Natural join (⋈)\n",
    "Natural join between two or more relations will result in all the combination of tuples where they have equal values for the common attribute."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Member ⋈ Borrow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/2000/1*px6PC9HJ1cXZ9HSlxxJzWw.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>name</th>\n",
       "        <th>date_of_birth</th>\n",
       "        <th>book_id</th>\n",
       "        <th>borrow_date</th>\n",
       "        <th>return_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Alice</td>\n",
       "        <td>1995-03-03</td>\n",
       "        <td>1</td>\n",
       "        <td>2020-03-02</td>\n",
       "        <td>2020-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Charlie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>4</td>\n",
       "        <td>Mike</td>\n",
       "        <td>1992-09-16</td>\n",
       "        <td>2</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "        <td>Katie</td>\n",
       "        <td>1997-10-21</td>\n",
       "        <td>4</td>\n",
       "        <td>2020-03-13</td>\n",
       "        <td>2020-03-13</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Alice', '1995-03-03', 1, '2020-03-02', '2020-03-12'),\n",
       " (3, 'Charlie', '1997-10-21', 5, '2020-03-05', '2020-03-15'),\n",
       " (3, 'Charlie', '1997-10-21', 3, '2020-03-10', '2020-03-20'),\n",
       " (4, 'Mike', '1992-09-16', 2, '2020-03-13', '2020-03-23'),\n",
       " (5, 'Katie', '1997-10-21', 4, '2020-03-13', '2020-03-13')]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM member NATURAL JOIN borrow;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Conditional join (⋈c)\n",
    "Conditional join is similar to the natural join but in the conditional join, we can specify any join condition with the operators greater than, less than, equal or not equal. You can combine conditions as well with AND (^) and OR (v) operators."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Borrowing details of members who have burrowed more than one book."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/2000/1*L0cJ5SttgnntlJI6i6F_6A.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>book_id</th>\n",
       "        <th>borrow_date</th>\n",
       "        <th>return_date</th>\n",
       "        <th>member_id_1</th>\n",
       "        <th>book_id_1</th>\n",
       "        <th>borrow_date_1</th>\n",
       "        <th>return_date_1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>3</td>\n",
       "        <td>2020-03-10</td>\n",
       "        <td>2020-03-20</td>\n",
       "        <td>3</td>\n",
       "        <td>5</td>\n",
       "        <td>2020-03-05</td>\n",
       "        <td>2020-03-15</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(3, 5, '2020-03-05', '2020-03-15', 3, 3, '2020-03-10', '2020-03-20'),\n",
       " (3, 3, '2020-03-10', '2020-03-20', 3, 5, '2020-03-05', '2020-03-15')]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "WITH \n",
    "B1 AS (SELECT * from borrow),\n",
    "B2 AS (SELECT * from borrow)\n",
    "SELECT * FROM B1 INNER JOIN B2 ON B1.member_id=B2.member_id AND B1.book_id<>B2.book_id;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Union (⋃)\n",
    "The union operation in RA is very similar to that of set theory. However, for the union of two relations, both the relations must have the same set of attributes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Book IDs of the books borrowed by Charlie and Mike. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*bkblBTLehk8gyEhQcTYAbw.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>book_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>5</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2,), (3,), (5,)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT book_id FROM member natural join borrow where name='Charlie' \n",
    "UNION\n",
    "SELECT book_id FROM member natural join borrow where name='Mike';"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Intersection (⋂)\n",
    "The intersection operation in RA is very similar to that of set theory. However, for the intersection of two relations, both the relations must have the same set of attributes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Member IDs of the members who have borrowed both the books “Fences” and “Inheritance”."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*_E18HHc9jqe4bMhtUaoNVg.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(3,)]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT member_id FROM book natural join borrow where name='Fences' \n",
    "INTERSECT\n",
    "SELECT member_id FROM book natural join borrow where name='Inheritance';"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Set difference (-)\n",
    "The set difference operation in RA is very similar to that of set theory. However, for the set difference between two relations, both the relations must have the same set of attributes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> Query: Member IDs of the members who have never borrowed books."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://miro.medium.com/max/1400/1*lApz8Y5G1XYw1myYQrrgFw.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>member_id</th>\n",
       "        <th>name</th>\n",
       "        <th>date_of_birth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Bob</td>\n",
       "        <td>1993-03-05</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2, 'Bob', '1993-03-05')]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT member_id,name,date_of_birth FROM member \n",
    "EXCEPT\n",
    "SELECT member_id,name,date_of_birth FROM member natural join borrow;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "SQL consists in \n",
    "- data definition language (DDL)\n",
    "- data query language (DQL)\n",
    "- data control language (DCL)\n",
    "- data manipulation language (DML)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Data Definition Language (DDL)\n",
    "Subset of commands used to define/modify objects in a database (CREATE, DROP, ALTER, TRUNCATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Create a table\n",
    "\n",
    "`CREATE TABLE [table name] ( [column definitions] ) [table parameters]`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql CREATE TABLE students(id INTEGER PRIMARY KEY,name TEXT,surname TEXT,course_id NUMERIC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql CREATE table IF NOT EXISTS courses(id INTEGER PRIMARY KEY, name TEXT)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Drop a table\n",
    "\n",
    "`DROP TABLE [table name]`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql DROP TABLE students"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Alter a table \n",
    "\n",
    "`ALTER objecttype objectname parameters.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql ALTER TABLE students ADD email string "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Let's give a look "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>type</th>\n",
       "        <th>name</th>\n",
       "        <th>tbl_name</th>\n",
       "        <th>rootpage</th>\n",
       "        <th>sql</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>table</td>\n",
       "        <td>member</td>\n",
       "        <td>member</td>\n",
       "        <td>2</td>\n",
       "        <td>CREATE TABLE member(<br>   member_id INT PRIMARY KEY,<br>   name VARCHAR (50) NOT NULL,<br>   date_of_birth DATE NOT NULL<br>)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>table</td>\n",
       "        <td>book</td>\n",
       "        <td>book</td>\n",
       "        <td>4</td>\n",
       "        <td>CREATE TABLE book(<br>   book_id INT PRIMARY KEY,<br>   name VARCHAR (50) NOT NULL,<br>   author VARCHAR (50) NOT NULL<br>)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>table</td>\n",
       "        <td>borrow</td>\n",
       "        <td>borrow</td>\n",
       "        <td>6</td>\n",
       "        <td>CREATE TABLE borrow(<br>   member_id INT REFERENCES member(member_id),<br>   book_id INT REFERENCES book(book_id),<br>   borrow_date DATE NOT NULL,<br>   return_date DATE NOT NULL<br>)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>table</td>\n",
       "        <td>courses</td>\n",
       "        <td>courses</td>\n",
       "        <td>8</td>\n",
       "        <td>CREATE TABLE courses(id INTEGER PRIMARY KEY, name TEXT)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>table</td>\n",
       "        <td>students</td>\n",
       "        <td>students</td>\n",
       "        <td>7</td>\n",
       "        <td>CREATE TABLE students(id INTEGER PRIMARY KEY,name TEXT,surname TEXT,course_id NUMERIC, email string)</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('table', 'member', 'member', 2, 'CREATE TABLE member(\\n   member_id INT PRIMARY KEY,\\n   name VARCHAR (50) NOT NULL,\\n   date_of_birth DATE NOT NULL\\n)'),\n",
       " ('table', 'book', 'book', 4, 'CREATE TABLE book(\\n   book_id INT PRIMARY KEY,\\n   name VARCHAR (50) NOT NULL,\\n   author VARCHAR (50) NOT NULL\\n)'),\n",
       " ('table', 'borrow', 'borrow', 6, 'CREATE TABLE borrow(\\n   member_id INT REFERENCES member(member_id),\\n   book_id INT REFERENCES book(book_id),\\n   borrow_date DATE NOT NULL,\\n   return_date DATE NOT NULL\\n)'),\n",
       " ('table', 'courses', 'courses', 8, 'CREATE TABLE courses(id INTEGER PRIMARY KEY, name TEXT)'),\n",
       " ('table', 'students', 'students', 7, 'CREATE TABLE students(id INTEGER PRIMARY KEY,name TEXT,surname TEXT,course_id NUMERIC, email string)')]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql SELECT * FROM sqlite_master WHERE type='table'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Data Manipulation Language (DML)\n",
    "Subset of commands used to insert/update/delete objects in a database (INSERT, DELETE, UPDATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# INSERT\n",
    "`INSERT INTO [table name](columns) values (value)`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql INSERT INTO courses(name) VALUES ('MasterTurismo')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# All fine ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>id</th>\n",
       "        <th>name</th>\n",
       "        <th>surname</th>\n",
       "        <th>course_id</th>\n",
       "        <th>email</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Harry</td>\n",
       "        <td>Potter</td>\n",
       "        <td>1</td>\n",
       "        <td>harry@hogwarts.co.uk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Hermione</td>\n",
       "        <td>Granger</td>\n",
       "        <td>1</td>\n",
       "        <td>hermione@hogwarts.co.uk</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2, 'Harry', 'Potter', 1, 'harry@hogwarts.co.uk'),\n",
       " (3, 'Hermione', 'Granger', 1, 'hermione@hogwarts.co.uk')]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select * from students;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql INSERT INTO students(id,name,surname,email, course_id) values (3,'Hermione','Granger','hermione@hogwarts.co.uk', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql INSERT INTO students(id,name,surname,email, course_id) values (1,'Saavo','Nicotra','salvatore.nicotra1@unict.it', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# UPDATE\n",
    "`UPDATE [table name] set values WHERE conditions`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>id</th>\n",
       "        <th>name</th>\n",
       "        <th>surname</th>\n",
       "        <th>course_id</th>\n",
       "        <th>email</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Salvo</td>\n",
       "        <td>Nicotra</td>\n",
       "        <td>1</td>\n",
       "        <td>salvatore.nicotra1@unict.it</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Salvo', 'Nicotra', 1, 'salvatore.nicotra1@unict.it')]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select * from students "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql UPDATE students set name='Salvo' where name='Slavo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# DELETE\n",
    "`DELETE from [table name] WHERE conditions`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql DELETE from students where id=1;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "# Data Query Language (DQL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# SELECT\n",
    "``` SELECT [ ALL | DISTINCT |  TOP ] columns\n",
    "FROM table\n",
    "[ WHERE conditions ]\n",
    "[ GROUP BY columns [HAVING conditions] ]\n",
    "[ ORDER BY columns ];\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Where and order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "%sql INSERT INTO students(name,surname,email, course_id) values ('Harry','Potter','harry@howarts.com', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>id</th>\n",
       "        <th>name</th>\n",
       "        <th>surname</th>\n",
       "        <th>course_id</th>\n",
       "        <th>email</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Hermione</td>\n",
       "        <td>Granger</td>\n",
       "        <td>1</td>\n",
       "        <td>hermione@hogwarts.co.uk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Harry</td>\n",
       "        <td>Potter</td>\n",
       "        <td>1</td>\n",
       "        <td>harry@hogwarts.co.uk</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(3, 'Hermione', 'Granger', 1, 'hermione@hogwarts.co.uk'),\n",
       " (2, 'Harry', 'Potter', 1, 'harry@hogwarts.co.uk')]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select * from students order by surname  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>id</th>\n",
       "        <th>name</th>\n",
       "        <th>surname</th>\n",
       "        <th>course_id</th>\n",
       "        <th>email</th>\n",
       "        <th>id_1</th>\n",
       "        <th>name_1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Harry</td>\n",
       "        <td>Potter</td>\n",
       "        <td>1</td>\n",
       "        <td>harry@hogwarts.co.uk</td>\n",
       "        <td>1</td>\n",
       "        <td>MasterTurismo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>3</td>\n",
       "        <td>Hermione</td>\n",
       "        <td>Granger</td>\n",
       "        <td>1</td>\n",
       "        <td>hermione@hogwarts.co.uk</td>\n",
       "        <td>1</td>\n",
       "        <td>MasterTurismo</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2, 'Harry', 'Potter', 1, 'harry@hogwarts.co.uk', 1, 'MasterTurismo'),\n",
       " (3, 'Hermione', 'Granger', 1, 'hermione@hogwarts.co.uk', 1, 'MasterTurismo')]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "select \n",
    "*\n",
    "from \n",
    "students s\n",
    "join courses c on s.course_id=c.id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Group By"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   sqlite:///datasets/ra.db\n",
      " * sqlite:///datasets/ra2.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>name</th>\n",
       "        <th>count(*)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>MasterTurismo</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('MasterTurismo', 2)]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "select uc.name,count(*)\n",
    "from students ums \n",
    "join courses uc on ums.course_id=uc.id \n",
    "group by uc.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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