najikadri

package le.pioneer

import org.apache.spark.sql.{Dataset, SparkSession}
import org.apache.log4j.Logger

object HelloDataSet extends  Serializable {

  @transient private lazy val logger: Logger = Logger.getLogger(getClass.getName)

  private case class Employee(employeeID: Int, employeeName: String, department: String, startDate: String)

najikadri

package le.pioneer

import org.apache.spark.sql.{DataFrame, SparkSession}
import org.apache.log4j.Logger
import org.apache.spark.SparkConf

import java.util.Properties
import scala.io.Source
// This uses DataFrame API
object HelloDataFrame extends Serializable {

najikadri

package le.pioneer

import org.apache.log4j.Logger
import org.apache.spark.{SparkConf, SparkContext}

// hard-coded Spark application using RDDs API instead of DataFrames
object HelloRDD extends Serializable {

  private case class Employee(employeeID: Int, employeeName: String, department: String, startDate: String)

najikadri

import java.util.*;

//this class is used for statistics //incomplete version
public class Sorter {
	
	
	public static ArrayList<Integer> reduce (ArrayList<Integer> init) {
		ArrayList<Integer> newArray = new ArrayList<Integer>(100); 
		newArray.add(init.get(0));
		for (int i: init) {

najikadri

public class Deep {
	
	public static ArrayList<ArrayList<ArrayList<String>>> deep;
	
	public static void main (String args[]) {
		deep = new ArrayList<ArrayList<ArrayList<String>>>();
		System.out.println(deep);
		addOuterArray();
		addInnerArray(0);
		addInnerString("John",0,0);

najikadri

#include <stdio.h>
#include <stdlib.h>

int main( void)
{
   int a,b,sum,option;
   printf("Welcome to C calculator\n");
   printf("Choose an option:\n");
   printf("add: 1 , Subtract: 2 , Multiply: 3\n");
   scanf("%d",&option);

najikadri

import java.util.*;

 /** This code shows the purpose of collection and iterator
  * classes in java. This code was made from code from
  * the book "Java How To Program - edition 9" from figure 20.2
  * @author Naji Kadri
  * 
  * @version 1.0
  */