apache spark group - Java Big Data

Java examples for Big Data:apache spark

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Description

apache spark group

Demo Code



import java.util.Arrays;
import java.util.List;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;

import scala.Tuple2;

public class CogroupEx {

    public static void main(String[] args) {

        SparkConf conf = new SparkConf().setAppName("CogroupEx").setMaster(
                "local[*]");
        JavaSparkContext sc = new JavaSparkContext(conf);

        JavaPairRDD<String, String> categories = sc.parallelizePairs(Arrays
                .asList(new Tuple2<String, String>("Apples", "Fruit"),
                        new Tuple2<String, String>("Oranges", "Fruit"),
                        new Tuple2<String, String>("Oranges", "Citrus")));
        JavaPairRDD<String, Integer> prices = sc.parallelizePairs(Arrays
                .asList(new Tuple2<String, Integer>("Oranges", 2),
                        new Tuple2<String, Integer>("Apples", 3)));
        JavaPairRDD<String, Tuple2<Iterable<String>, Iterable<Integer>>> cogrouped = categories
                .cogroup(prices);//from  ww w  .j  a  va2  s.  c  o  m

        List<Tuple2<String, Tuple2<Iterable<String>, Iterable<Integer>>>> result = cogrouped
                .collect();

        for (Tuple2<String, Tuple2<Iterable<String>, Iterable<Integer>>> list : result) {
            System.out.println("key : " + list._1);
            System.out.println("key of value: " + list._2._1);
            System.out.println("value of value: " + list._2._2);
        }

        sc.close();

    }

}

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