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Bayu Dwiyan Satria For Apache Spark Environment.

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/*
 * MIT License
 *
 * Copyright (c) 2019 Bayu Dwiyan Satria
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

package com.bayudwiyansatria.environment.apache.spark;

import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import java.util.Arrays;
import java.util.List;

public class SparkUtils extends Spark {
    public JavaRDD string_to_rdd( JavaSparkContext SparkContext, String[] data){
       return string_to_rdd ( SparkContext, data, 1 );
    }
    
    public JavaRDD string_to_rdd(JavaSparkContext SparkContext, String[] data, int Slices){
        List list = Arrays.asList(data);
        return SparkContext.parallelize(list, Slices);
    }

    public double[][] rdd_to_double(JavaRDD data) {
        List newData = data.collect();
        double[][] doubleData = new double [newData.size()] [newData.get(0).split(",").length];
        for(int i=0; i