victor-ferrer

package com.ericsson.edosdp.pmgateway.service;

import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;

victor-ferrer

Republican nomination

Eisenhower presidential campaign, Baltimore, Maryland, September 1952
Dwight D. Eisenhower and Senator Robert A. Taft from Ohio were the two front-runners for the Republican Party presidential nomination going into the 1952 Republican presidential primaries. Also contending for the nomination were Governor Earl Warren of California, and former Governor Harold Stassen of Minnesota.[3] Taft led the conservative wing of the party, centered in the Midwest, that rejected many of the New Deal social welfare programs created in the 1930s, and generally held a non-interventionist foreign policy stance, believing that America should avoid alliances with foreign powers. Taft had been a candidate for the Republican nomination in 1940 and 1948, but had been defeated both times by moderate Republicans from New York: Wendell Willkie in 1940, and Thomas E. Dewey in 1948. Taft blamed these successive loses on the New York GOP's undue influence over the national party.[4]

Dewey, the party's presidentia

victor-ferrer

public class Exercise {

	public static void main(String[] args) {
		
		// TODO Read all lines/all content of the file provided in args[0]
		
		// TODO Separate it into a list of words (just separate by white space, no need to remove other characters)
		
		// TODO Create a map containing:
		//	- As key: Each of the Word in the file

victor-ferrer

{
  [
    [
      "ObjectId" : "E00707.L19447C",
      "RecordDate" : "2019/02/10",
      "DateInDays" :  "10",
      "DateInHours" : "00",
      "DateInTicks": "0",
      "Source" : "source",
      "Target" :  "target",

victor-ferrer

package example

/**
  * Created by Victor on 8/13/2018.
  * Utility methods for the 10 days of statistics in Hackerrank
  */
object StatisticsUtils
{
  /**
    * Calculates the standard deviation of an Array of Integers

victor-ferrer

val df = sqlContext.read.parquet("/victor/testimport")
                    .select($"date",$"close",$"volume",$"year_p")
                    .filter("year_p = 1962")
df.show()

/*
+----------+--------+---------+------+
|      date|   close|   volume|year_p|
+----------+--------+---------+------+
|1962-08-01|  0.6875|1372800.0|  1962|

victor-ferrer

# Original CSV is generated as follows:

# Date,Open,High,Low,Close,Adj Close,Volume
# 1962-01-02,0.781250,0.794271,0.773438,0.778646,0.002326,2073600
# 1962-01-03,0.774740,0.774740,0.768229,0.770833,0.002303,1420800

# Ignore the header, extract the year and month from the first column,
# create two additional columns at the end of the file and add quotes to the
# first colum:

victor-ferrer

# Create the partitions from the "date" column
kite-dataset  partition-config date:year date:month date:day -s my_schema.txt \
    -o partitions.txt

victor-ferrer

[ {
  "name" : "year_p",
  "source" : "year",
  "type" : "identity"
}, {
  "name" : "month_p",
  "source" : "month",
  "type" : "identity"
} ]

victor-ferrer

{
  "type" : "record",
  "name" : "ge_stock_data",
  "namespace" : "victor.ferrer.stock.data",
  "doc" : "GE",
  "fields" : [
    { "name" : "date",  "type" : "string" },
    { "name" : "open", "type" : "float"},
    { "name" : "high", "type" : "float" },
    { "name" : "low", "type" : "float" },