如何在java中打印Spark RDD中的最高值？

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

SparkConf conf = new SparkConf().setAppName("PrintMaxValue").setMaster("local");

JavaSparkContext sc = new JavaSparkContext(conf);

JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5));

int maxValue = rdd.max(new IntegerComparator());

System.out.println("最高值：" + maxValue);

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

public class PrintMaxValue {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("PrintMaxValue").setMaster("local");
        JavaSparkContext sc = new JavaSparkContext(conf);

        JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5));
        int maxValue = rdd.max(new IntegerComparator());

        System.out.println("最高值：" + maxValue);

        sc.stop();
    }

    static class IntegerComparator implements Comparator<Integer>, Serializable {
        @Override
        public int compare(Integer a, Integer b) {
            return a.compareTo(b);
        }
    }
}