wordcount_sql.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "from pyspark.streaming.kafka import KafkaUtils\n",
    "from pyspark.streaming import StreamingContext\n",
    "from pyspark.sql import Row, SQLContext\n",
    "import logging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def load_msg(msg):\n",
    "    message = json.loads(msg[1])\n",
    "    print msg, message\n",
    "    return message['words']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def getSqlContextInstance(sparkContext):\n",
    "    if ('sqlContextSingletonInstance' not in globals()):\n",
    "        globals()['sqlContextSingletonInstance'] = SQLContext(sparkContext)\n",
    "    return globals()['sqlContextSingletonInstance']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def process(time, rdd):\n",
    "    try:\n",
    "        sqlContext = getSqlContextInstance(rdd.context)\n",
    "        rowRdd = rdd.flatMap(lambda words: words.split()).map(lambda w: Row(word=w))\n",
    "        wordsDataFrame = sqlContext.createDataFrame(rowRdd)\n",
    "        wordsDataFrame.registerTempTable(\"words\")\n",
    "        wordCountsDataFrame = sqlContext.sql(\"select word, count(*) as total from words group by word\")\n",
    "        wordCountsDataFrame.show()\n",
    "        logging.info(wordCountsDataFrame)\n",
    "    except Exception as e:\n",
    "        logging.exception(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ssc = StreamingContext(sc, 1)\n",
    "ssc.checkpoint('checkpoint')\n",
    "kvs = KafkaUtils.createDirectStream(ssc, ['lines'], {\"metadata.broker.list\": \"kafka:9092\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "kvs.map(load_msg).foreachRDD(process)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+-----+\n",
      "|       word|total|\n",
      "+-----------+-----+\n",
      "|   Bennet's|    2|\n",
      "|     heart,|    1|\n",
      "|        she|   14|\n",
      "| gentleman;|    1|\n",
      "|    readily|    1|\n",
      "|     town.\"|    1|\n",
      "|  answered.|    1|\n",
      "|       back|    1|\n",
      "|       day,|    1|\n",
      "|      arise|    1|\n",
      "|    chiefly|    1|\n",
      "|  requiring|    1|\n",
      "|        say|    3|\n",
      "|   resolute|    1|\n",
      "|       when|    4|\n",
      "|alterations|    1|\n",
      "|  unhappily|    1|\n",
      "|      would|    4|\n",
      "|       _he_|    1|\n",
      "|     making|    1|\n",
      "+-----------+-----+\n",
      "only showing top 20 rows\n",
      "\n",
      "+-----------+-----+\n",
      "|       word|total|\n",
      "+-----------+-----+\n",
      "|   Bennet's|    1|\n",
      "|        she|    5|\n",
      "|   feelings|    1|\n",
      "|      speak|    1|\n",
      "|retirement,|    1|\n",
      "|    library|    2|\n",
      "|       when|    1|\n",
      "|   humility|    1|\n",
      "|      would|    1|\n",
      "|collection,|    1|\n",
      "|   say--she|    1|\n",
      "|      house|    2|\n",
      "|  Longbourn|    1|\n",
      "|       her;|    1|\n",
      "|discomposed|    1|\n",
      "|        The|    2|\n",
      "|      found|    2|\n",
      "|   morning,|    1|\n",
      "|      walk;|    1|\n",
      "|        had|    9|\n",
      "+-----------+-----+\n",
      "only showing top 20 rows\n",
      "\n",
      "+----------+-----+\n",
      "|      word|total|\n",
      "+----------+-----+\n",
      "|       she|    3|\n",
      "|       say|    1|\n",
      "|  surprise|    1|\n",
      "|      when|    4|\n",
      "|   passed,|    1|\n",
      "|expressing|    1|\n",
      "|     back,|    1|\n",
      "| attention|    2|\n",
      "|   passed.|    1|\n",
      "|      till|    1|\n",
      "|   indeed,|    1|\n",
      "| Longbourn|    1|\n",
      "|       The|    3|\n",
      "|    loudly|    1|\n",
      "|   reached|    1|\n",
      "|   favour;|    1|\n",
      "|       had|    9|\n",
      "|     said,|    1|\n",
      "|      bow,|    1|\n",
      "|     sight|    1|\n",
      "+----------+-----+\n",
      "only showing top 20 rows\n",
      "\n",
      "+----------+-----+\n",
      "|      word|total|\n",
      "+----------+-----+\n",
      "|  stranger|    1|\n",
      "|       she|    7|\n",
      "|      day,|    1|\n",
      "|    during|    1|\n",
      "|      when|    1|\n",
      "|     would|    5|\n",
      "|      dine|    1|\n",
      "|        so|    2|\n",
      "| attention|    1|\n",
      "|introduced|    1|\n",
      "|      awed|    1|\n",
      "| Longbourn|    1|\n",
      "|       The|    1|\n",
      "|     room,|    1|\n",
      "|     found|    2|\n",
      "|       had|   13|\n",
      "|     said,|    1|\n",
      "|     room.|    1|\n",
      "|  repeated|    1|\n",
      "|understood|    1|\n",
      "+----------+-----+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
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      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
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      "\u001b[1;32m/usr/local/spark/python/pyspark/streaming/context.pyc\u001b[0m in \u001b[0;36mawaitTermination\u001b[1;34m(self, timeout)\u001b[0m\n\u001b[0;32m    245\u001b[0m         \"\"\"\n\u001b[0;32m    246\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 247\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jssc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mawaitTermination\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    248\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    249\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_jssc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mawaitTerminationOrTimeout\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimeout\u001b[0m \u001b[1;33m*\u001b[0m \u001b[1;36m1000\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m    534\u001b[0m             \u001b[0mEND_COMMAND_PART\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    535\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 536\u001b[1;33m         \u001b[0manswer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    537\u001b[0m         return_value = get_return_value(answer, self.gateway_client,\n\u001b[0;32m    538\u001b[0m                 self.target_id, self.name)\n",
      "\u001b[1;32m/usr/local/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36msend_command\u001b[1;34m(self, command, retry)\u001b[0m\n\u001b[0;32m    362\u001b[0m         \u001b[0mconnection\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_connection\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    363\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 364\u001b[1;33m             \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconnection\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    365\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_give_back_connection\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconnection\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    366\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mPy4JNetworkError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36msend_command\u001b[1;34m(self, command)\u001b[0m\n\u001b[0;32m    471\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    472\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msendall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'utf-8'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 473\u001b[1;33m             \u001b[0manswer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msmart_decode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    474\u001b[0m             \u001b[0mlogger\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Answer received: {0}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0manswer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    475\u001b[0m             \u001b[1;31m# Happens when a the other end is dead. There might be an empty\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python2.7/socket.pyc\u001b[0m in \u001b[0;36mreadline\u001b[1;34m(self, size)\u001b[0m\n\u001b[0;32m    428\u001b[0m                     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    429\u001b[0m                         \u001b[1;32mwhile\u001b[0m \u001b[0mdata\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;34m\"\\n\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 430\u001b[1;33m                             \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrecv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    431\u001b[0m                             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    432\u001b[0m                                 \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+-----+\n",
      "|     word|total|\n",
      "+---------+-----+\n",
      "|      she|    8|\n",
      "|  staying|    1|\n",
      "|  chiefly|    1|\n",
      "|  mention|    1|\n",
      "|     port|    1|\n",
      "|  finally|    1|\n",
      "|   prizes|    1|\n",
      "|     when|    1|\n",
      "|   anyone|    1|\n",
      "|   making|    1|\n",
      "|  life--\"|    1|\n",
      "|attention|    1|\n",
      "|told--the|    1|\n",
      "|   added,|    1|\n",
      "|  person,|    1|\n",
      "|   stuffy|    1|\n",
      "|     wait|    1|\n",
      "|      The|    2|\n",
      "|    room,|    1|\n",
      "|      had|    5|\n",
      "+---------+-----+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ssc.start()\n",
    "ssc.awaitTermination()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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    "sql"
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