{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This notebook is part of Hadoop tutorials delivered by IT-DB group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SPARK DATAFRAME Hands-On Lab using table from relational database"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hands-On 1 - Load a relation table into DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### First, lets import the bits we need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pyspark import SparkContext, SQLContext, SparkConf\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### download the oracle jdbc driver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!curl -o /tmp/ojdbc7.jar https://cernbox.cern.ch/index.php/s/e7NJ5jD3qZB7RNO/download"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This is only required in the notebook mode, in spark-shell, spark-submit, pyspark you can direcly pass --jars (e.g pyspark --jars /tmp/ojdbc7.jar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "os.environ['PYSPARK_SUBMIT_ARGS'] = '--jars /tmp/ojdbc7.jar pyspark-shell'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create the SparkContext and SQLContext explicitly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sc = SparkContext()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sqlContext = SQLContext(sc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create the jdbc DataFrame as below, please note how to pass the driver, connection url, username and password\n",
    "*before executing the next cell, please replace PWD, SERVER and PORT with password, database host and port respectively*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "db_df = sqlContext.read.format('jdbc') \\\n",
    "    .options(driver='oracle.jdbc.driver.OracleDriver',url='jdbc:oracle:thin:meetup/$PWD@$SERVER:$PORT/PIMT_RAC51.cern.ch',dbtable='meetup_data') \\\n",
    "    .load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read the data from the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "db_df.select(\"EVENT_ID\",\"EVENT_NAME\").show(5)"
   ]
  }
 ],
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