Spark_City_State.ipynb

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 "cells": [
  {
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   "execution_count": null,
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   "source": [
    "import findspark\n",
    "findspark.init()\n",
    "\n",
    "from pyspark.sql import SparkSession\n",
    "from pyspark.sql.types import StructType,StructField, StringType, IntegerType, ArrayType, LongType, DoubleType, FloatType, DataType, DateType, TimestampType\n",
    "from pyspark.sql.functions import regexp_replace,row_number\n",
    "from pyspark.sql.window import Window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "spark = (SparkSession\n",
    " .builder\n",
    " .appName(\"City_State\")\n",
    " .getOrCreate())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "schema = StructType([\n",
    "             StructField('City', StringType(), True),\n",
    "             StructField('State', StringType(), True)\n",
    "         ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df =  spark.read.option('header','True').schema(schema).option('sep',',').csv('German_Cities_And_State.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropDuplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Assigning a row number to them, so that it can be referred later in the model\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "window = Window.orderBy('State')\n",
    "df = df.withColumn('Id',row_number().over(window))\n",
    "\n",
    "df.show(truncate=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "\n",
    "Will create a State folder and have this cleaned and tranformed data there\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "df.write.format('csv').option('header','true').mode('overwrite').save('State')"
   ]
  }
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