(单选) 以下Spark map 算子输出结果为()

public static void map(){
        //创建SparkConf
        SparkConf conf = new SparkConf().setAppName("map").setMaster("local");
        //创建javaSparkContext
        JavaSparkContext sc = new JavaSparkContext(conf);
        //构建集合
        List<String> list = Arrays.asList("a","b","c","d","e");
        //并行化集合,创建初始RDD
        JavaRDD<String> strRDD = sc.parallelize(list);

        JavaRDD<String> rdd = strRDD.map(new Function<String, String>() {
            public String call(String v) throws Exception {
                return v +"1";
            }
        });
        rdd.foreach(new  VoidFunction<String>() {
            public void call(String t) throws Exception {
                System.out.println(t);
            }
        });

        sc.close();
    }