mongodb_tut2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Timestamp Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "from pymongo import MongoClient\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "db = MongoClient('mongodb://143.215.138.132:27017')['big_data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Sample Tweet:\n",
    "# {   \"_id\" : ObjectId(\"5819377b8548676a7239588c\"),\n",
    "#     \"guid\" : \"793613871756013568\",\n",
    "#     \"text\" : \"#incrediblessuperdanceparty can you play all of the Spanish  songs?!\",\n",
    "#     \"author_id\" : \"770418732665565185\",\n",
    "#     \"author_name\" : \"Kayle Figueiredo\",\n",
    "#     \"author_followers_count\" : 15,\n",
    "#     \"timestamp\" : 1478047266,\n",
    "#     \"lon\" : -83.804475,\n",
    "#     \"lat\" : 27.698681999999998,\n",
    "#     \"words\" : [ \"can\", \"you\", \"play\", \"all\", \"of\", \"the\", \"spanish\", \"songs\" ],\n",
    "#     \"keywords\" : [ \"play\", \"songs\", \"spanish\" ],\n",
    "#     \"hashtags\" : [ \"incrediblessuperdanceparty\" ],\n",
    "#     \"mentions_id\" : [ ],\n",
    "#     \"mentions_name\" : [ ],\n",
    "#     \"urls\" : [ ],\n",
    "#     \"favorite_count\" : 0,\n",
    "#     \"retweet_count\" : 0 }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "def find_first_timestamp():\n",
    "    sort = {'$sort': {'timestamp': 1}}\n",
    "    limit  = {'$limit': 1}\n",
    "    pipeline = [sort, limit]\n",
    "    return list(db.tweet_subset.aggregate(pipeline))[0]['timestamp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "def find_last_timestamp():\n",
    "    sort = {'$sort': {'timestamp': -1}}\n",
    "    limit  = {'$limit': 1}\n",
    "    pipeline = [sort, limit]\n",
    "    return list(db.tweet_subset.aggregate(pipeline))[0]['timestamp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "def get_timestamp_list():\n",
    "    timestamp_list = []\n",
    "    for tweet in list(db.tweet_subset.find()):\n",
    "        timestamp_list.append(tweet['timestamp'])\n",
    "    return timestamp_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1477088104\n",
      "CPU times: user 3.89 ms, sys: 2.01 ms, total: 5.89 ms\n",
      "Wall time: 5 s\n"
     ]
    }
   ],
   "source": [
    "%time print find_first_timestamp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1491638260\n",
      "CPU times: user 2.54 ms, sys: 2.64 ms, total: 5.18 ms\n",
      "Wall time: 5.05 s\n"
     ]
    }
   ],
   "source": [
    "%time print find_last_timestamp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1477088104\n",
      "CPU times: user 23.1 s, sys: 5.92 s, total: 29 s\n",
      "Wall time: 3min\n"
     ]
    }
   ],
   "source": [
    "%time print min(get_timestamp_list())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1491638260\n",
      "CPU times: user 21.3 s, sys: 5.67 s, total: 27 s\n",
      "Wall time: 2min 36s\n"
     ]
    }
   ],
   "source": [
    "%time print max(get_timestamp_list())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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EUNFdC2YHSfsD75a0l6S9G1897VjSjpIWSHpI0hJJp5f4tpLmS3qs/NymxCXpEklLJd3f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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db93d050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timestamp_list = get_timestamp_list()\n",
    "\n",
    "bins = np.linspace(find_first_timestamp(), find_last_timestamp(), 100)\n",
    "\n",
    "plt.hist(timestamp_list, bins=bins)\n",
    "\n",
    "plt.title('Tweet Timeline')\n",
    "plt.xlabel('Timestamp')\n",
    "plt.ylabel('Number of Tweets')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}