Trying to use System.out as a task in an RDD

I am currently just starting out to learn Apache Spark, and had code that I can't quite figure out why is not compiling. It says the task that I am sending into the myRDD forEach is not serializable however a tutorial I am watching did a similar thing as well. Any Ideas or clues would be greatly appreciated.

public class Main {
    public static void main(String[] args) {
        Logger.getLogger("org.apache").setLevel(Level.WARN);
        List<Integer> inputData = new ArrayList<>();

        inputData.add(25);


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

        JavaRDD<Integer> myRDD = sc.parallelize(inputData);
        Integer result = myRDD.reduce((x, y) -> x + y);

        myRDD.foreach( System.out::println );
        System.out.println(result);

        sc.close();

    }
}

Stack Trace:

Exception in thread "main" org.apache.spark.SparkException: Task not serializable...
	at com.virtualpairprogrammers.Main.main(Main.java:26)
Caused by: java.io.NotSerializableException: java.io.PrintStream
Serialization stack:
	- object not serializable (class: java.io.PrintStream, value: java.io.PrintStream@11a82d0f)
	- element of array (index: 0)
	- array (class [Ljava.lang.Object;, size 1)...

Don't use Lambda reference. It will try to pass the function println(..) of PrintStream to executors. Remember all the methods that you pass or put in spark closure (inside map/filter/reduce etc) must be serialised. Since println(..) is part of PrintStream, the class PrintStream must be serialized.

Pass an anonymous function as below-

myRDD.foreach(integer -> System.out.println(integer));

Full Example

import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;

import java.util.ArrayList;
import java.util.List;

public class Test63321956 {
    public static void main(String[] args) {
        Logger.getLogger("org.apache").setLevel(Level.WARN);
        List<Integer> inputData = new ArrayList<>();

        inputData.add(25);


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

        JavaRDD<Integer> myRDD = sc.parallelize(inputData);
        Integer result = myRDD.reduce(Integer::sum);

        myRDD.collect().forEach( System.out::println );
        myRDD.foreach(integer -> System.out.println(integer));
        System.out.println(result);
        /**
         * 25
         * 25
         * 25
         */

        sc.close();

    }
}

If your porpose is just to print out the result, you can convert your RDD into a java list using the method collect(). this will allow you to apply the java method forEach().

Example:

myRDD.collect().forEach( System.out::println );