crash-course.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Install Jupyter\n",
    "```\n",
    "$ pip install jupyter\n",
    "$ jupyter notebook\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load this notebook file in Jupyter\n",
    "\n",
    "File > Open... > crash-course.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Install and Start Riak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[4;33mWarning\u001b[0m: riak-2.1.3 already installed\n",
      "Node is already running!\n",
      "================================= Membership ==================================\n",
      "Status     Ring    Pending    Node\n",
      "-------------------------------------------------------------------------------\n",
      "valid     100.0%      --      '[email protected]'\n",
      "-------------------------------------------------------------------------------\n",
      "Valid:1 / Leaving:0 / Exiting:0 / Joining:0 / Down:0\n"
     ]
    }
   ],
   "source": [
    "!brew install riak\n",
    "!riak start\n",
    "!riak-admin member-status"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test Riak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Jupyter"
     ]
    }
   ],
   "source": [
    "!curl -XPUT http://localhost:8098/buckets/welcome/keys/hello-spark \\\n",
    "        -H 'Content-Type: text/plain' \\\n",
    "        -d 'Hello Jupyter'\n",
    "        \n",
    "!curl http://localhost:8098/buckets/welcome/keys/hello-spark"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Install Spark and a Helper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[4;31mError\u001b[0m: apache-spark-1.5.1 already installed\r\n",
      "To install this version, first `brew unlink apache-spark`\r\n"
     ]
    }
   ],
   "source": [
    "!brew install apache-spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied (use --upgrade to upgrade): findspark in /usr/local/lib/python2.7/site-packages\r\n"
     ]
    }
   ],
   "source": [
    "!pip install findspark"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import findspark\n",
    "findspark.init()\n",
    "\n",
    "import pyspark\n",
    "sc = pyspark.SparkContext()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run a Quick Spark Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pi is roughly 2.222222\n"
     ]
    }
   ],
   "source": [
    "NUM_SAMPLES = 9\n",
    "\n",
    "from random import random\n",
    "\n",
    "def sample(p):\n",
    "    x, y = random(), random()\n",
    "    return 1 if x*x + y*y < 1 else 0\n",
    "\n",
    "count = sc.parallelize(xrange(0, NUM_SAMPLES)).map(sample) \\\n",
    "             .reduce(lambda a, b: a + b)\n",
    "    \n",
    "print \"Pi is roughly %f\" % (4.0 * count / NUM_SAMPLES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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